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Author SHA1 Message Date
Corey Haines 114587831e Merge pull request #316 from coreyhaines31/development
Release v2.0.1: ai-seo Google guide alignment + image/video model refresh
2026-05-18 22:29:35 -07:00
Corey Haines 908500123b Merge pull request #315 from coreyhaines31/chore/sync-main-pre-v2.0.1
chore: sync development with vendor PRs landed on main
2026-05-18 22:28:29 -07:00
Corey Haines 0fd7bb5ad9 merge main into development (sync vendor PRs landed on main) before v2.0.1 release 2026-05-18 22:27:56 -07:00
Corey Haines 4b54b0dd6f chore(release): bump to v2.0.1 (#314)
Patch release rolling up two content updates that just landed:

- ai-seo (#313): aligned with Google's official AI features optimization
  guide — Google's stance, query fan-out, agentic experiences (UCP),
  what-not-to-do, Search Console expectations; reframed
  llms.txt/pricing.md/schema as "not required by Google but helpful for
  non-Google AI engines"; moved content-type tactics to
  references/content-types.md
- image (#311): refreshed model lineup to current May 2026 releases —
  Nano Banana family, Flux Pro 1.1 + Kontext, Ideogram 3.0, ChatGPT
  Images 2.0, Midjourney v7, Recraft V3, SD 3.5 / SDXL
- video (#311): refreshed model lineup — Sora 2 promoted from
  limited-availability caveat, Kling 2.5/3.0, added Seedance, Hailuo /
  MiniMax, Hunyuan Video / Wan 2, Pika 2.x; new "Quick picks" guide

No new skills, no breaking changes. Only the three affected SKILL.md
files bumped to 2.0.1; the other 37 stay at 2.0.0.

- marketplace.json: 2.0.0 → 2.0.1
- VERSIONS.md: ai-seo, image, video rows bumped; 2.0.1 changelog entry
  added
- skills/{ai-seo,image,video}/SKILL.md: metadata.version → 2.0.1

All 40 skills pass validation. sync-skills.js still no-op.

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-18 22:26:38 -07:00
Corey Haines 8b0a54eef9 fix(ai-seo): align with Google's official AI features optimization guide (#313)
Source: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide

The skill was framed as "optimize for AI systems," which mis-states Google's
explicit position: AI Overviews and AI Mode are powered by core Search ranking,
so SEO best practices ARE the optimization strategy. Don't write separate
content "for AI."

The structural patterns the skill recommends (FAQ schema, comparison tables,
40-60 word answer blocks, llms.txt, /pricing.md) still help non-Google AI
engines (ChatGPT, Claude, Perplexity, Copilot) materially. The skill now
calls out the platform split explicitly rather than implying universal
benefit.

Major changes:

- New section "Google's Official Stance vs. Multi-Platform Reality":
  Frames Google's "don't optimize for AI" position alongside the reality that
  other AI engines reward extractable structure. Quotes Google's own
  phrasing.

- New section "Query Fan-Out (Google AI Search)":
  Explains Google's documented behavior of generating concurrent related
  queries. Reframes content strategy from per-query targeting to topical
  cluster coverage.

- New section "Agentic Experiences":
  Browser agents accessing sites via visual rendering, DOM inspection, and
  accessibility tree. Semantic HTML, JS-free meaningful render, clean a11y
  tree. Mentions the emerging Universal Commerce Protocol (UCP).

- New section "What NOT to Do":
  Explicit Google guidance: don't write for AI, don't chunk content for AI,
  don't scale variations (scaled content abuse spam policy), don't pursue
  inauthentic mentions, don't block AI crawlers if you want citation.

- Machine-Readable Files section reframed:
  Now opens with Google's stance ("not required") + the reason to include
  them anyway (non-Google AI engines).

- Schema markup note reframed:
  Notes Google's position that structured data is "not required for
  generative AI search" but still recommended.

- Search Console expectations added:
  Sets correct expectation that no AI-specific Search Console reporting
  exists; standard SEO metrics + third-party tools are the measurement
  options.

- Moved "AI SEO for Different Content Types" to references/content-types.md:
  Kept SKILL.md under 500 lines. Added a local-business/ecom subsection
  (Merchant Center + Google Business Profile + Business Agent) per
  Google's emphasis.

All 40 skills still pass validation.

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-18 22:24:17 -07:00
Corey Haines c08ae5ff3d fix: refresh image + video model lists to current releases (May 2026) (#311)
Video (skills/video/SKILL.md):
- Sora 2 promoted from "limited availability" caveat to a first-class model
- Kling updated to 2.5/3.0 from Kuaishou
- Added Seedance (ByteDance) as a fast, low-cost batch option
- Added Hailuo / MiniMax for character-consistency use case
- Pika updated to 2.x
- Added Hunyuan Video / Wan 2 (open-weight, self-hosted)
- New "Quick picks" guide for cinematic / batch / character-consistent /
  self-hosted / storyboard / image-to-video use cases
- Trigger phrases updated to include Sora, Seedance, Hailuo, MiniMax,
  Hunyuan, Wan

Image (skills/image/SKILL.md):
- Gemini Image labelled with Nano Banana / Nano Banana Pro family names
- Flux entry annotates Pro 1.1, Kontext, Dev, Schnell variants (Kontext for
  in-image editing)
- Ideogram bumped to 3.0
- GPT Image entry renamed to "ChatGPT Images 2.0 / GPT Image" reflecting the
  newer family
- Midjourney bumped to v7
- Added Recraft V3 for vector + brand illustration use case
- Stable Diffusion 3.5 / SDXL specifics noted
- Updated "When to Use Which" decision tree to match
- Trigger phrases updated to include Flux Kontext, ChatGPT Images, Nano
  Banana, Recraft

All 40 skills still pass validation.

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-18 22:24:09 -07:00
Salvatore Apicella dc7fea85bf Update tool names for static ad images category (#269)
New model to generate images is released by OpenAI, it can be used to improve ad generation
2026-05-18 14:06:44 -07:00
Teo 4b37de5228 feat: add Exa AI-powered search tool (#266)
Adds Exa as an AI search integration for content research, competitor
discovery, link prospecting, news monitoring, and audience research.

- CLI (tools/clis/exa.js): zero-dep Node.js wrapper for /search,
  /findSimilar, and /contents with neural/auto/fast/deep search types,
  category + domain + text + date filtering, and composable content
  retrieval (text, highlights, summary) in a single request
- Integration guide (tools/integrations/exa.md): auth, endpoints,
  common agent operations, parameters, and linked skills
- Registry entry under new 'AI Search' category + MCP-enabled list
- Uses EXA_API_KEY env var with --dry-run support and masked credentials
2026-05-18 14:05:40 -07:00
Abhi Bavishi 75e8221af8 Add RankParse to SEO tools registry (#304)
RankParse is an agent-friendly SEO data API offering backlinks, domain
authority, tech stack, and on-page metadata at credit-based pricing.

- New integration guide: tools/integrations/rankparse.md
- New CLI wrapper: tools/clis/rankparse.js
- Registry entry under SEO category (API + MCP + CLI)
2026-05-18 14:05:36 -07:00
Berner Setterwall 148fe208ed feat: add cogny MCP gateway to tools registry (#275)
* feat: add cogny MCP gateway to tools registry

Adds Cogny as an integration-layer entry alongside Composio. Cogny is a
marketing-focused MCP gateway (Search Console, Bing Webmaster, Semrush,
LinkedIn / Reddit / TikTok Ads, Plausible, Fathom) with managed OAuth
and a per-channel MCP URL.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs(cogny): use federated app.cogny.com/mcp endpoint and claude.ai connector setup

Switches the setup instructions and examples from the per-channel
mcp.cogny.com URLs to the federated https://app.cogny.com/mcp endpoint,
using the Claude.ai custom-connector flow (Settings → Connectors → Add
custom connector). Drops the per-channel path columns and the vendor-
review framing since they aren't needed for the federated setup.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 14:04:33 -07:00
Corey Haines bd8eb1a0e5 Merge pull request #297 from coreyhaines31/development
Release v2.0: skill renames, CRO consolidation, full eval coverage
2026-05-13 22:12:05 -07:00
Corey Haines bf173b731b Merge pull request #299 from coreyhaines31/chore/establish-merge-ancestry
chore: establish merge ancestry between main and development
2026-05-13 22:11:51 -07:00
Corey Haines 0e2ef1301b merge main into development to establish ancestry for v2.0 release
# Conflicts:
#	.claude-plugin/marketplace.json
2026-05-13 22:11:26 -07:00
Corey Haines 76f18f0156 chore: sync skills with marketplace.json and README (#298) 2026-05-13 22:10:14 -07:00
Corey Haines 30f9b9a729 feat: v2.0 skill renames and CRO consolidation (#291)
* feat: v2.0 skill renames and CRO consolidation

BREAKING CHANGE: Users must reinstall skills after this update.

## Skill Renames (16)
- ab-test-setup → ab-testing
- analytics-tracking → analytics
- aso-audit → aso
- competitor-alternatives → competitors
- email-sequence → emails
- free-tool-strategy → free-tools
- launch-strategy → launch
- onboarding-cro → onboarding
- paywall-upgrade-cro → paywalls
- popup-cro → popups
- pricing-strategy → pricing
- product-marketing-context → product-marketing
- referral-program → referrals
- schema-markup → schema
- signup-flow-cro → signup
- social-content → social

## Consolidations (1)
- page-cro + form-cro → cro (form content in references/form.md)

## Why 2.0?
- Shorter, cleaner skill names
- Consistent naming (no -strategy, -setup, -cro suffixes)
- All cross-references updated across 100+ files

Total skills: 40

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* fix(v2.0): update evals for renamed skills, fix validate script, clear warnings

- Update 32 evals.json files to reference new skill names (page-cro → cro,
  product-marketing-context → product-marketing, etc.) — these were missed
  in the initial v2.0 rename pass since only SKILL.md and marketplace.json
  were updated.
- Fix validate-skills.sh: replace GNU-only `head -n -1` with portable awk
  so frontmatter extraction works on macOS.
- Move Copy Editing Checklist (56 lines) to references/checklist.md to
  bring copy-editing SKILL.md under the 500-line limit (508 → 457).
- Add "see X" pointers to marketing-psychology description for skill
  discovery (cro, pricing, copywriting).
- Update skill-request.yml issue template placeholder (page-cro → cro).

All 40 skills now pass validation with zero warnings.

* fix(v2.0): add evals for 8 missing skills, strip stale frontmatter from cro/form.md

Adds 48 new eval cases (6 per skill) for skills that previously had no evals:
aso, co-marketing, community-marketing, competitor-profiling, directory-submissions,
image, lead-magnets, video. All 40 skills now have eval coverage (251 total cases).

Strips leftover frontmatter from skills/cro/references/form.md — it was inherited
from the old form-cro SKILL.md before consolidation. Reference files don't need
frontmatter.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): rename paid-ads → ads

One more v2.0 simplification — drops the redundant 'paid-' qualifier. Updates
the skill directory, SKILL.md frontmatter, evals.json, README skill table, the
v2.0 rename table in VERSIONS.md (now 17 renames), and all cross-references in
related skills (ad-creative, aso, competitor-profiling, customer-research,
lead-magnets, marketing-ideas) plus the tools/integrations guides.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): bump SKILL.md frontmatter version to 2.0.0 for all 40 skills

VERSIONS.md was already updated to 2.0.0 but the metadata.version field inside
each SKILL.md was still on 1.x. That mismatch would have caused the update-check
flow to perpetually report 'update available' since it compares VERSIONS.md
against local SKILL.md metadata versions.

Caught by codex review (P1).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): add legacy product-marketing-context.md filename fallback

Before this fix, users upgrading from v1.x who had a `product-marketing-context.md`
file would lose automatic context loading — every skill only checked the new
`product-marketing.md` filename. Now all 40 skills also accept the legacy
filename (in either `.agents/` or `.claude/`), and the README migration command
covers both legacy and current filenames.

Caught by codex review (P1 + P2).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): re-sort README skills table alphabetically, fix ads box width

The skills table had a few entries out of alphabetical order from the renames
(co-marketing was after cold-email, ads was at the renamed position).
Re-sorted alphabetically per sync-skills.js. Also padded the 'ads' cell in the
ASCII flow diagram to keep the box width consistent.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): document folder cleanup on upgrade, stop sync-skills from re-adding skills array

README upgrade guide now includes:
- A clear cleanup step for stale v1.x skill folders (renamed + consolidated) so
  users don't end up with both old and new folders side-by-side after upgrading
- The full v1 to v2 rename map for reference
- Existing product-marketing-context.md migration steps (preserved)

sync-skills.js no longer (re-)introduces a `skills` array on marketplace.json --
Claude Code's plugin schema discovers skills via the `skills/` directory, and the
explicit array was failing validation. The script now refreshes the description
count and strips the stale array if present.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-05-13 22:05:15 -07:00
Corey Haines f3990f7f99 feat: expand directory-submissions with 185+ dofollow backlink directories (#276)
Add 6 new tiers (8-13) covering profile & content platforms, local business
directories, forums & communities, press release sites, social bookmarking,
and niche verticals. Also expand existing tiers 2, 3, and 5 with new entries.

Codex-verified: removed 5 dead/expired domains (nancheng.fun, startuplister.com,
designernews.co, sitewebdirectory.com, atoalinks.com), corrected GPTForge DR
from 88 to ~30 (domain created 2025), fixed sitepromotondirectory typo, and
normalized cross-file naming inconsistencies.

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-13 16:11:49 -07:00
coreyhaines31 906c2fb28e chore: sync skills with marketplace.json and README 2026-05-06 06:41:11 +00:00
Corey Haines 34a39b0eb1 Merge pull request #290 from coreyhaines31/development
Release v1.10.0
2026-05-05 23:41:01 -07:00
Corey Haines 0c933b277e feat: add co-marketing skill (#289)
* feat: add co-marketing skill for partner identification and joint campaigns

Adds skill for finding co-marketing partners and brainstorming campaign ideas:
- Partner scoring criteria and identification framework
- Campaign types (content, webinars, integrations, community)
- Outreach templates and partnership structuring
- Brainstorming prompts for specific partners

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* docs: add co-marketing to README skills table and categories

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* docs: add co-marketing to README diagram

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* fix: improve co-marketing skill based on review

- Add quoted description with expanded trigger phrases
- Add metadata.version field (1.0.0)
- Add "Before Starting" section for product context
- Add Task-Specific Questions section
- Add Tool Integrations section (Crossbeam, Introw, PartnerStack)
- Add Co-Marketing Checklist (identification, planning, execution, post-campaign)
- Clarify Related Skills with better context
- Add horizontal rules for section separation (matches other skills)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-05-05 23:32:23 -07:00
Corey Haines 1bcff9fc79 fix: remove re-introduced skills array from marketplace.json, bump plugin to v1.9.0
PR #264 was based on pre-fix main and re-introduced the inline skills
array that #273 removed. plugin.json with "skills": "./skills" is
the authority.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 11:50:23 -07:00
Pierson Marks e0829df01d fix: remove flagged phishing URL from directory-submissions (#264) 2026-04-24 11:42:39 -07:00
coreyhaines31 b70440fa5f chore: sync skills with marketplace.json and README 2026-04-24 18:39:30 +00:00
Corey Haines fd99bb8085 Merge branch 'development'
# Conflicts:
#	.claude-plugin/marketplace.json
2026-04-24 11:39:07 -07:00
Corey Haines b831842fb7 release: v1.9.0 — image skill, video skill, plugin fix
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 11:38:22 -07:00
Corey Haines 07db354ccc feat: add image skill for AI image generation and marketing visuals (#259)
* feat: add image skill for AI image generation and marketing visuals

Covers AI image generation (Gemini, Flux, Ideogram, DALL-E, Midjourney),
design tools (Canva, Figma), marketing workflows (blog heroes, social
graphics, product mockups, profile/listing banners, brand assets), image
optimization, and OG/social preview images.

Includes prompting reference guide with model-specific tips.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: apply accuracy fixes from Codex review

- OpenAI: DALL-E 3 → GPT Image family (DALL-E 3 deprecated)
- Gemini: use official naming, keep Nano Banana as context
- Ideogram: remove ungrounded ~90% accuracy claim
- All pricing: replace hard numbers with doc links
- LinkedIn company cover: note recommended 4200x700
- WebP/AVIF: adjust browser support to ~96%/~94%
- Flux: remove specific reference image count (varies by variant)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 11:36:54 -07:00
Corey Haines 64136709b6 feat: add video skill for AI video production (#258)
* feat: add video skill for AI video production

New skill covering programmatic video (Remotion, Hyperframes), AI video
generation (Veo, Runway, Kling), AI avatars (HeyGen, Synthesia), and
editing/repurposing workflows. Includes AI video prompting reference.

New tool integrations: HeyGen (MCP-enabled), Hyperframes (open source).
Updated tools registry with Video category expansion.

Total skills: 39

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: apply accuracy fixes from Codex review

- Hyperframes: Node.js requirement 18+ → 22+ (confirmed via npm)
- Veo 3: soften 4K claim to "Up to 1080p (4K varies)"
- Sora: replace shutdown claim with availability caveat
- HeyGen: remove dollar amounts, link to pricing page
- Remotion: soften license wording

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 11:33:41 -07:00
Corey Haines affc3aab49 feat: add short-form video section to social-content skill (#257)
Add TikTok/Reels/Shorts frameworks: 3-second rule, video structures,
caption best practices, content ideas by business type. Detailed hook
library, scripting template, audio/visual strategy in reference file.

Inspired by #200 (vendor-neutral parts only).

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 11:31:38 -07:00
Corey Haines 0cdc990715 fix: marketplace.json source fails Claude Code schema validation (#273)
* fix: marketplace.json source fails Claude Code schema validation (#270)

The source field used a bare dot which failed schema validation.
Changed to github source object and added proper plugin.json manifest.

- Added .claude-plugin/plugin.json with skills list and metadata
- Changed marketplace.json source from "." to github repo object
- Removed inline skills array and strict:false from marketplace.json

closes #270

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: use ./ source and simplify plugin.json skills path

Codex review found two issues with the initial fix:
- GitHub source object causes redundant clone, may fail without SSH
- skills paths in plugin.json need ./ prefix

Changed source to "./" (matches Anthropic's own marketplace pattern)
and simplified skills to "./skills" (auto-discovers all skill dirs).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 11:31:30 -07:00
Corey Haines 737c3c6ea2 chore: sync main with v1.8.0 post-release fixes (#255)
chore: sync main with v1.8.0 post-release fixes
2026-04-21 15:08:47 -07:00
Corey Haines 6b068a2c92 fix: update README diagram with all 38 skills
Added aso-audit, directory-submissions, community-marketing,
lead-magnets, competitor-profiling. Clarified competitor-alternatives
vs competitor-profiling as separate entries.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 15:07:36 -07:00
Corey Haines 17923c78a9 fix: update marketplace.json version to 1.8.0
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 15:06:07 -07:00
Corey Haines 194afa2f09 fix: correct v1.8.0 changelog — aso-audit, community-marketing, customer-research shipped in prior releases
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 15:01:34 -07:00
coreyhaines31 4036e776e2 chore: sync skills with marketplace.json and README 2026-04-21 21:59:45 +00:00
Corey Haines 11e3b0ff69 release: v1.8.0 — 5 new skills, security hardening, plugin fix
release: v1.8.0
2026-04-21 14:59:34 -07:00
Corey Haines e18a04403b chore: update VERSIONS.md and paid-ads version for v1.8.0
Add 4 new skills to version table (aso-audit, community-marketing,
customer-research, directory-submissions). Bump paid-ads to 1.2.0.
Add v1.8.0 changelog entry.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 14:55:09 -07:00
Corey Haines 34501dd36c Merge pull request #249: add conversion tracking reference
feat: add conversion tracking reference to paid-ads skill
2026-04-21 14:53:30 -07:00
Corey Haines 20443e1361 Merge pull request #253: fix CLI credential leakage
fix: harden CLI tools against credential leakage
2026-04-21 14:53:28 -07:00
Corey Haines 9698318a30 fix: harden CLI tools against credential leakage
Move Supermetrics API key from query string to x-api-key header.
Mask ZoomInfo JWT by default in auth command (use --show-token to reveal).

Cherry-picked from #201.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 13:32:33 -07:00
Corey Haines c8e2d11556 Merge pull request #252 from coreyhaines31/fix/merge-competitor-profiling
feat: add competitor-profiling skill (from PR #225)
2026-04-21 13:28:23 -07:00
Corey Haines a45a348b08 Merge PR #225: add competitor-profiling skill
Resolves marketplace.json conflict (strips ./ prefix, adds competitor-profiling, updates count to 38).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 13:24:26 -07:00
Corey Haines 5d48b351be Merge pull request #251 from coreyhaines31/fix/merge-directory-submissions
feat: add directory-submissions skill (from PR #232)
2026-04-21 13:23:56 -07:00
Corey Haines cafdd38e58 Merge PR #232: add directory-submissions skill
Resolves marketplace.json conflict (strips ./ prefix, adds directory-submissions, updates count to 37).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 13:23:27 -07:00
Corey Haines c38fd75ec5 Merge pull request #215 from basseko/feat/international-seo-audit
feat(seo-audit): add International SEO & Localization section
2026-04-21 13:22:36 -07:00
Corey Haines dfe912224e Merge pull request #250 from coreyhaines31/fix/marketplace-plugin-paths
fix: remove ./ prefix from plugin skill paths (closes #243)
2026-04-21 13:22:02 -07:00
Corey Haines 2ea0f0c2c7 fix: remove ./ prefix from plugin skill paths
Claude Code plugin validator rejects bare ./ prefixes as escaping
the plugin directory. Strips ./ from all skill paths and source field
so the plugin loads correctly.

Closes #243

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 13:21:42 -07:00
Corey Haines f23b665461 feat: add conversion tracking reference to paid-ads skill
Cross-platform pixel setup guide covering Google Ads, Meta, LinkedIn,
and TikTok — installation, event configuration, server-side tracking,
and validation. Covers the marketer-level setup that was missing between
the high-level checklists and deep code-level implementation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 12:02:57 -07:00
Corey Haines 880386085e Merge pull request #247 from xiaolai/fix/nlpm-zapier-webhook-url-validation
fix: validate https:// scheme for hooks send webhook URL in zapier.js
2026-04-21 12:01:13 -07:00
Corey Haines dffa2fd3cb Merge pull request #240 from dgalarza/fix/community-marketing-yaml
Fix invalid YAML in community-marketing SKILL.md
2026-04-21 12:01:10 -07:00
claude[bot] db34fa2a21 fix: validate https:// scheme for hooks send webhook URL
The `hooks send` command accepted any user-supplied URL without validation.
This adds an https:// scheme check and a comment clarifying the intended use
(Zapier webhook catch hooks), matching Zapier's own webhook URL format.

Co-Authored-By: Claude Code <noreply@anthropic.com>
2026-04-21 06:42:16 +00:00
Damian Galarza 0d586e4952 fix: quote community-marketing description to valid YAML
The unquoted description contained "Trigger phrases:" which YAML parsed
as a nested mapping, causing the skills CLI to silently drop the skill
during discovery. Wrap the value in double quotes and escape inner
quotes.
2026-04-14 18:18:17 -04:00
coreyhaines31 9125d8216e chore: sync skills with marketplace.json and README 2026-04-13 07:15:47 +00:00
Corey Haines 50e72e0a2d chore: sync development with main after v1.7.0 release 2026-04-13 00:10:59 -07:00
Corey Haines 978051caf1 Merge pull request #238 from coreyhaines31/release/v1.7.0
release: v1.7.0 — ASO audit skill, Zapier SDK, community & platform fixes
2026-04-13 00:10:14 -07:00
Corey Haines e8623ad57d Merge pull request #227 from coreyhaines31/feature/zapier-sdk
feat: add Zapier SDK integration for 8,000+ app access
2026-04-13 00:08:26 -07:00
Corey Haines e659c764dd Merge pull request #223 from coreyhaines31/fix/platform-limits-cleanup
fix: add line break between platform reference links
2026-04-13 00:08:26 -07:00
Corey Haines 58a9947df4 Merge pull request #222 from coreyhaines31/fix/community-content-additions
fix: add missing sections to community-marketing skill
2026-04-13 00:08:26 -07:00
Corey Haines ea4704a905 Merge pull request #221 from coreyhaines31/fix/aso-audit-content-additions
fix: clean up aso-audit skill for cross-agent compatibility
2026-04-13 00:08:26 -07:00
Corey Haines 883f9b6380 Merge pull request #205 from basseko/feature/aso-audit
feat: add aso-audit skill for App Store and Google Play optimization
2026-04-13 00:08:06 -07:00
Corey Haines 743f718a7c Merge pull request #227 from coreyhaines31/feature/zapier-sdk
feat: add Zapier SDK integration for 8,000+ app access
2026-04-13 00:07:23 -07:00
Josh Gonsalves 4eaf647eef Add directory-submissions skill
New skill covering directory-driven distribution: startup/SaaS/AI/agent/MCP/no-code
directories, Product Hunt prep, Reviews playbook (G2/Capterra 10-in-30 protocol),
GEO optimization, destination pages strategy, and Reddit/LinkedIn community loops.

Includes:
- SKILL.md (376 lines) with workflow, PH 3-week timeline, reviews protocol, KPIs
- references/directory-list.md — full tiered catalog with DR, dofollow, notes
- references/positioning-variations.md — per-tier copy templates (7 tiers)
- references/submission-tracker-template.csv — ready-to-use tracker with 78 rows

Registered in marketplace.json and README skill table (alphabetical).
2026-04-10 11:34:42 -04:00
Corey Haines 5616e31192 feat: add Zapier SDK integration for 8,000+ app access
The Zapier SDK (@zapier/zapier-sdk) gives AI agents direct TypeScript
access to 8,000+ app integrations without building OAuth flows. Updates
the integration guide with SDK quick start, CLI commands, methods, and
marketing automation examples.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-07 11:09:35 -07:00
njcameron 138dc3a9be chore: remove PR_DESCRIPTION.md 2026-04-07 12:08:50 +00:00
njcameron 2b4cccbfcf feat: persist raw scrape, SEO, and review data to disk 2026-04-07 12:07:48 +00:00
njcameron a04b00d810 feat: add competitor-profiling skill 2026-04-07 12:01:10 +00:00
Corey Haines 2570f6ad4e Merge pull request #223 from coreyhaines31/fix/platform-limits-cleanup
fix: add line break between platform reference links
2026-04-06 14:45:31 -07:00
Corey Haines eb4256891a Merge pull request #222 from coreyhaines31/fix/community-content-additions
fix: add missing sections to community-marketing skill
2026-04-06 14:45:28 -07:00
Corey Haines 3448f557de Merge pull request #221 from coreyhaines31/fix/aso-audit-content-additions
fix: clean up aso-audit skill for cross-agent compatibility
2026-04-06 14:45:26 -07:00
Corey Haines 9f9c2d6f59 fix: add missing sections to community-marketing skill
- Add Task-Specific Questions section
- Add Related Skills section (referral-program, churn-prevention,
  social-content, customer-research)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-06 12:00:21 -07:00
Corey Haines 7df49f2be8 fix: clean up aso-audit skill for cross-agent compatibility
- Replace Playwright-specific tool references with generic instructions
- Convert description from YAML multiline to quoted string (repo convention)
- Add Task-Specific Questions section
- Add Related Skills section

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-06 12:00:17 -07:00
coreyhaines31 2c7c108bd5 chore: sync skills with marketplace.json and README 2026-04-06 18:33:57 +00:00
Corey Haines fe670959f7 Merge pull request #220 from coreyhaines31/release/v1.6.0
release: v1.6.0 — community-marketing skill, 3 new tools, skill enhancements
2026-04-06 11:33:38 -07:00
Corey Haines 4874fe8979 Merge pull request #214 from coreyhaines31/feature/copy-editing-content-refresh
feat: add content refresh editing to copy-editing
2026-04-03 17:02:17 -07:00
Corey Haines d88009d1a4 Merge pull request #213 from coreyhaines31/feature/copy-editing-expert-panel
feat: add expert panel scoring to copy-editing
2026-04-03 17:02:17 -07:00
Corey Haines 78da95de86 Merge pull request #212 from coreyhaines31/feature/social-content-repurposing
feat: expand content repurposing in social-content
2026-04-03 17:02:17 -07:00
Corey Haines 7c2e29c526 Merge pull request #211 from coreyhaines31/feature/ab-test-growth-experiments
feat: add growth experimentation program to ab-test-setup
2026-04-03 17:02:17 -07:00
Corey Haines 49f520f4eb Merge pull request #210 from coreyhaines31/feature/add-rb2b-tool
feat: add RB2B and Gong to tools registry
2026-04-03 17:02:17 -07:00
Corey Haines ef8e08ffd2 Merge pull request #209 from coreyhaines31/feature/add-sparktoro
feat: add SparkToro audience research tool
2026-04-03 17:02:17 -07:00
Corey Haines e10c33406c Merge pull request #208 from coreyhaines31/feature/ai-seo-pricing-md
feat: add pricing.md guidance to ai-seo skill
2026-04-03 17:02:17 -07:00
Corey Haines c31adfe89e Merge pull request #207 from MarianoGarciaGz/feat/platform-limits-reference
feat: add platform limits reference for social-content skill
2026-04-03 17:02:12 -07:00
Corey Haines 1f295fa5c8 Merge pull request #78 from pangerlkr/feature/new-skill-community-marketing
feat: add community-marketing skill
2026-04-03 17:02:07 -07:00
Corey Haines af9fe5fb09 Merge pull request #214 from coreyhaines31/feature/copy-editing-content-refresh
feat: add content refresh editing to copy-editing
2026-04-03 16:58:45 -07:00
Corey Haines bb54a76215 fix: move content refresh to references, fix version and scope
- Move full content refresh content to references/content-refresh.md
  to stay under 500 lines when merged with expert panel PR
- Bump version to 1.3.0 (expert panel PR takes 1.2.0)
- Fix scope creep: remove structured data from step 6, keep it
  focused on scannable formatting
- Add content-refresh.md to References section

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:56:24 -07:00
Corey Haines 884cf5e108 feat: add content refresh editing to copy-editing skill
Adds guidance for refreshing existing content — when to refresh vs.
rewrite, a 6-step refresh checklist (freshness, accuracy, voice, SEO,
proof, structure), and recommended cadence by content type. Bumps to v1.2.0.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:56:24 -07:00
Corey Haines 295f1eef37 Merge pull request #213 from coreyhaines31/feature/copy-editing-expert-panel
feat: add expert panel scoring to copy-editing
2026-04-03 16:56:10 -07:00
Corey Haines 5c90bb8075 Merge pull request #212 from coreyhaines31/feature/social-content-repurposing
feat: expand content repurposing in social-content
2026-04-03 16:56:03 -07:00
Corey Haines 2fe1310881 Merge pull request #211 from coreyhaines31/feature/ab-test-growth-experiments
feat: add growth experimentation program to ab-test-setup
2026-04-03 16:55:52 -07:00
Corey Haines 6020ef6943 Merge pull request #210 from coreyhaines31/feature/add-rb2b-tool
feat: add RB2B and Gong to tools registry
2026-04-03 16:55:44 -07:00
Corey Haines 42ac956cb7 fix: correct Gong API endpoints and RB2B integration model
Gong: fix endpoints to POST (not GET), remove non-existent /v2/deals,
use tenant-specific base URL, correct recording limitation, add source
links. RB2B: clarify API Partner Program vs native integrations, add
pricing volatility note and source links. Registry: fix '10k calls'
to '10k API calls'.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:50:28 -07:00
Corey Haines d10c161c04 feat: add RB2B and Gong to tools registry
RB2B for B2B website visitor identification (person-level de-anonymization,
intent signals, outreach routing). Gong for revenue intelligence (call
transcripts, competitive intel, deal insights, rep coaching).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:50:28 -07:00
Corey Haines 76d1f89df9 Merge pull request #209 from coreyhaines31/feature/add-sparktoro
feat: add SparkToro audience research tool
2026-04-03 16:48:36 -07:00
Corey Haines 85b93be6d6 Merge pull request #208 from coreyhaines31/feature/ai-seo-pricing-md
feat: add pricing.md guidance to ai-seo skill
2026-04-03 16:48:29 -07:00
Bassel Koshak d97425f15b feat(seo-audit): add International SEO & Localization section
Add comprehensive internationalization coverage to the SEO audit skill,
backed by 40+ sources from Google Search Central, John Mueller, and
authoritative SEO publications.

New section covers:
- Hreflang implementation (placement, reciprocal refs, x-default, scale)
- Canonicalization for multilingual sites (self-referencing, conflict rules)
- International sitemaps (structure, size limits, Next.js caveats)
- Locale URL structure (subdirectories vs ccTLDs, content negotiation)
- Content quality across locales (AI translation stance, thin pages, HCU)

Also adds:
- Multilingual/Multi-Regional site type to Common Issues
- references/international-seo.md with evidence and source URLs
- Version bump to 1.2.0
2026-04-02 10:50:44 +03:00
Corey Haines dba8570870 fix: add line break between platform reference links
Separates the two reference links so they render as distinct lines
instead of a single block.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 17:54:46 -07:00
Corey Haines 28e8684fdd Merge pull request #205 from basseko/feature/aso-audit
feat: add aso-audit skill for App Store and Google Play optimization
2026-04-01 17:46:11 -07:00
Corey Haines 07a893efd0 Merge pull request #207 from MarianoGarciaGz/feat/platform-limits-reference
feat: add platform limits reference for social-content skill
2026-04-01 17:44:48 -07:00
Corey Haines fdb1202f12 Merge pull request #78 from pangerlkr/feature/new-skill-community-marketing
feat: add community-marketing skill
2026-04-01 17:40:43 -07:00
Corey Haines 314230b6db fix: address review feedback on expert panel scoring
- Add bridge sentence connecting to Seven Sweeps workflow
- Fix scoring criteria conflict: all personas 7+ with 8+ average
- Aligns step 5 target with the scoring rubric

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 16:38:10 -07:00
Corey Haines 330d220aca fix: address review feedback on social-content repurposing
- Soften unsourced "85%" stat to "most social video"
- Add "or audiograms" for audio-only podcast repurposing
- Broaden content atoms intro to apply across all formats

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 15:47:57 -07:00
Corey Haines c4cb25cb6c fix: address codex review feedback on growth experiments
Soften win-rate language to context-aware guidance. Clarify weekly
cadence to monitor guardrails while avoiding premature winner calls.
Expand playbook template with sample size, CI, guardrails, segment
deltas, and implementation status.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 15:46:03 -07:00
Corey Haines 4ceaf88e96 feat: add expert panel scoring to copy-editing skill
Multi-persona review technique for high-stakes copy. Assemble 3-5 expert
personas, score 1-10, iterate until 8+. Includes recommended panels for
landing pages, email sequences, and sales pages. Bumps to v1.2.0.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 15:17:01 -07:00
Corey Haines 7d85256e19 feat: expand content repurposing in social-content skill
Adds podcast/video repurposing with content atom extraction (quotable
moments, story arcs, tactical tips, controversial takes). Also adds
webinar and newsletter repurposing workflows. Bumps to v1.2.0.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 15:16:14 -07:00
Corey Haines 7c13fccdd9 feat: add growth experimentation program to ab-test-setup
Adds experiment loop, ICE prioritization, hypothesis generation sources,
experiment velocity tracking, and playbook pattern for promoting winners.
Turns ab-test-setup from a single-test skill into a continuous growth engine.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 15:15:18 -07:00
Corey Haines b902ed2d79 feat: add SparkToro as audience research tool
Add SparkToro integration guide, registry entry, and references in
customer-research skill. SparkToro reveals where your ICP spends time
using clickstream, search, and social data — essential for finding
podcasts, YouTube channels, subreddits, and websites your audience
engages with.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 13:50:02 -07:00
Corey Haines 47db68aaba feat: add pricing.md recommendation to ai-seo skill
AI agents are increasingly evaluating SaaS products on behalf of buyers.
Adding guidance on machine-readable pricing files (pricing.md/pricing.txt)
so companies don't get filtered out of AI-mediated buying journeys.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 13:24:53 -07:00
Mariano García fcac7f27b0 feat: add platform limits reference for social-content skill
Add hashtag limits, character counts, and visible text thresholds
for Instagram, Facebook, TikTok, LinkedIn, Twitter/X, YouTube,
Pinterest, and Threads.
2026-03-31 15:33:54 -06:00
Bassel Koshak fd98062849 fix: add product marketing context check to aso-audit skill 2026-03-31 16:31:24 +03:00
Bassel Koshak 40f20b2736 feat: add aso-audit skill for App Store and Google Play optimization
Live ASO audit skill that fetches real store listings, scores across 6
weighted dimensions (Title, Description, Visuals, Ratings, Metadata,
Conversion), and produces a prioritized action plan.

Features brand maturity system (Dominant/Established/Challenger) that
adjusts scoring to avoid penalizing deliberate brand choices by
household-name apps.

Backed by official Apple/Google developer docs and industry benchmarks
from AppTweak, SplitMetrics, and Sensor Tower.
2026-03-30 16:32:32 +03:00
Corey Haines 7c8c087486 release: v1.5.0 — customer-research skill, Nitrosend, Resend CLI, Firehose, Introw, Claude Code injection docs (#203)
* feat: add customer-research skill (#186)

* feat: add customer-research skill (#185)

Adds a new skill for conducting and synthesizing customer research —
covering analysis of existing assets (transcripts, surveys, support
tickets, NPS) and digital watering hole research (Reddit, G2, forums,
communities, review sites). Includes persona generation framework,
JTBD extraction, VOC quote banking, and competitive intel from reviews.

Also adds a detailed source-guides reference with per-platform playbooks
(Reddit operators, G2 review tiers, LinkedIn job posting mining, etc.)
and 10 evals covering the main trigger scenarios.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix: address Codex review of customer-research skill

- Fix evals.json schema to match repo convention (skill_name wrapper,
  integer IDs, expected_output, files fields)
- Add product-marketing-context.md assertion to all evals
- Add 2 new evals: B2C drop-off scenario and zero-research bootstrap
- Collapse 'Where to Look' in SKILL.md to a decision table; detail
  lives in source-guides.md
- Add Research Quality Guardrails section (confidence labels,
  recency window, sample bias, minimum viable sample)
- Add Related Skills section cross-linking 7 downstream skills
- Expand source-guides.md with full B2C section (app stores,
  TikTok/Instagram, consumer Reddit, Discord)
- Add Source Reliability and Confidence Scoring reference guide

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix: correct alphabetical ordering of customer-research in manifest and README

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: add customer-research to skills relationship diagram

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: move customer-research into Strategy column in diagram

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat: Resend CLI docs + Firehose integration (#188)

* feat: add Resend CLI docs and Firehose integration

- resend.md: update CLI availability (now official), add CLI install,
  setup, and common commands section
- firehose.md: new integration guide for real-time web content streaming
  API — query syntax, stream setup, marketing use cases (brand monitoring,
  competitive intel, lead triggers, PR/link building)
- REGISTRY.md: add firehose under Competitive Intelligence

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: document Claude Code dynamic content injection pattern

Add Claude Code-specific enhancement section to AGENTS.md explaining
the !`command` syntax for injecting shell output into skills at
invocation time. Marked as Claude Code-only to preserve cross-agent
compatibility of SKILL.md files.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Revert "docs: document Claude Code dynamic content injection pattern"

This reverts commit 8e1ce7b363.

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: document Claude Code dynamic content injection pattern (#189)

Add Claude Code-specific enhancement section to AGENTS.md explaining
the !`command` syntax for injecting shell output into skills at
invocation time. Marked as Claude Code-only to preserve cross-agent
compatibility of SKILL.md files.

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat: add Introw PRM as partner ecosystem integration (#193)

Great contribution — clean integration guide with solid MCP tool coverage, and the cross-references into referral-program, revops, launch-strategy, and sales-enablement are well-placed. Thanks!

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Tibo <72124096+CoopahG@users.noreply.github.com>
2026-03-27 23:48:16 -07:00
coreyhaines31 fcf4b4e784 chore: sync skills with marketplace.json and README 2026-03-28 06:32:23 +00:00
Corey Haines cc1a9c106b feat: add Nitrosend integration for AI-native email sequencing (#202)
* feat: add customer-research skill (#186)

* feat: add customer-research skill (#185)

Adds a new skill for conducting and synthesizing customer research —
covering analysis of existing assets (transcripts, surveys, support
tickets, NPS) and digital watering hole research (Reddit, G2, forums,
communities, review sites). Includes persona generation framework,
JTBD extraction, VOC quote banking, and competitive intel from reviews.

Also adds a detailed source-guides reference with per-platform playbooks
(Reddit operators, G2 review tiers, LinkedIn job posting mining, etc.)
and 10 evals covering the main trigger scenarios.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix: address Codex review of customer-research skill

- Fix evals.json schema to match repo convention (skill_name wrapper,
  integer IDs, expected_output, files fields)
- Add product-marketing-context.md assertion to all evals
- Add 2 new evals: B2C drop-off scenario and zero-research bootstrap
- Collapse 'Where to Look' in SKILL.md to a decision table; detail
  lives in source-guides.md
- Add Research Quality Guardrails section (confidence labels,
  recency window, sample bias, minimum viable sample)
- Add Related Skills section cross-linking 7 downstream skills
- Expand source-guides.md with full B2C section (app stores,
  TikTok/Instagram, consumer Reddit, Discord)
- Add Source Reliability and Confidence Scoring reference guide

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix: correct alphabetical ordering of customer-research in manifest and README

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: add customer-research to skills relationship diagram

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: move customer-research into Strategy column in diagram

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat: Resend CLI docs + Firehose integration (#188)

* feat: add Resend CLI docs and Firehose integration

- resend.md: update CLI availability (now official), add CLI install,
  setup, and common commands section
- firehose.md: new integration guide for real-time web content streaming
  API — query syntax, stream setup, marketing use cases (brand monitoring,
  competitive intel, lead triggers, PR/link building)
- REGISTRY.md: add firehose under Competitive Intelligence

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: document Claude Code dynamic content injection pattern

Add Claude Code-specific enhancement section to AGENTS.md explaining
the !`command` syntax for injecting shell output into skills at
invocation time. Marked as Claude Code-only to preserve cross-agent
compatibility of SKILL.md files.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Revert "docs: document Claude Code dynamic content injection pattern"

This reverts commit 8e1ce7b363.

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: document Claude Code dynamic content injection pattern (#189)

Add Claude Code-specific enhancement section to AGENTS.md explaining
the !`command` syntax for injecting shell output into skills at
invocation time. Marked as Claude Code-only to preserve cross-agent
compatibility of SKILL.md files.

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat: add Introw PRM as partner ecosystem integration (#193)

Great contribution — clean integration guide with solid MCP tool coverage, and the cross-references into referral-program, revops, launch-strategy, and sales-enablement are well-placed. Thanks!

* feat: add Nitrosend integration for AI-native email sequencing

Adds Nitrosend as a tool option for teams building email sequences via
AI agents — no dashboard required, full MCP control.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Tibo <72124096+CoopahG@users.noreply.github.com>
2026-03-27 23:32:13 -07:00
marfert cb4451c9a1 Update SKILL.md (#199)
Great catch — technically accurate and a clean improvement. Thanks!
2026-03-27 23:24:57 -07:00
Corey Haines 9d4d29a795 Merge pull request #181 from coreyhaines31/development
v1.4.0 release
2026-03-14 02:06:23 -07:00
Corey Haines b0fbcabc5f Merge pull request #180 from coreyhaines31/docs/v1.4.0-release
Update VERSIONS.md for v1.4.0 release
2026-03-14 02:06:06 -07:00
Corey Haines 6d08784211 docs: update VERSIONS.md for v1.4.0 release
Add lead-magnets skill, bump all 32 existing skills to 1.2.0,
and document all changes since v1.3.0.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-14 01:52:43 -07:00
coreyhaines31 b5a9bb57a9 chore: sync skills with marketplace.json and README 2026-03-14 00:04:30 +00:00
Corey Haines 6e47b53faf Merge pull request #179 from coreyhaines31/development
Release: Composio integration layer + lead-magnets skill + headless CMS guides
2026-03-13 17:04:20 -07:00
Corey Haines b970e9d8e4 Merge pull request #178 from coreyhaines31/feature/composio-integration
Add Composio as integration layer for OAuth-heavy tools
2026-03-13 17:03:53 -07:00
Corey Haines 869321e949 feat: add Composio as integration layer for OAuth-heavy marketing tools
Adds Composio MCP server as an alternative integration method for tools
lacking native MCP support (HubSpot, Salesforce, Meta Ads, LinkedIn Ads,
Google Sheets, Slack, Notion, etc.). Existing CLIs and MCP servers are
unchanged — Composio is additive only.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-13 15:37:59 -07:00
Corey Haines 1c32ad3dbf feat: add lead-magnets skill (#177)
* feat: add lead-magnets skill

Covers strategy for creating, gating, promoting, and measuring
downloadable/content-based lead magnets (ebooks, checklists, cheat
sheets, templates, swipe files, mini-courses, quizzes, webinars).

Includes format-guide and benchmarks reference files. Adds cross-
references in free-tool-strategy, email-sequence, and popup-cro.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix: align H1 title with skill name

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-13 15:21:10 -07:00
Corey Haines 51146da746 Add headless CMS reference and integration guides (#174)
* feat: add headless CMS reference and integration guides

Add CMS selection guide, content modeling patterns, and editorial
workflow reference for marketers. Add integration guides for Sanity
(GROQ API), Contentful (CDA/CMA), and Strapi (v5 REST). Register
all three in REGISTRY.md and link from content-strategy skill.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: address review feedback on headless CMS guides

- Use {curly_brace} placeholder convention for Strapi relation example
- Add note that Contentful CMA create uses PUT with client-generated ID
- Add URL-encoding note for Sanity GROQ query parameter
- Switch Sanity mutation example from createOrReplace to create (no _id needed)
- Add Content-Type header to Contentful update entry example
- Fix outdated "Assembly" product name to "Studio" for Contentful

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 23:21:58 -07:00
Pangerkumzuk Longkumer 8657fd4f78 feat: add community-marketing skill
Added a comprehensive guide on community marketing strategies, including principles, playbooks, platform selection, and health metrics.
2026-03-06 07:48:29 +05:30
Corey Haines 2f5db8d95c Merge pull request #76 from coreyhaines31/development
Release: skill descriptions, evals, and writing audit for all 32 skills
2026-03-04 16:44:37 -08:00
Corey Haines 3a8d01283d Merge branch 'main' into development 2026-03-04 16:07:41 -08:00
Corey Haines 68f5eaf64e Merge pull request #75 from coreyhaines31/feature/skill-writing-audit
Audit skill bodies: replace rigid imperatives with reasoning
2026-03-04 15:59:35 -08:00
Corey Haines 51e29954fb Merge pull request #74 from coreyhaines31/feature/skill-evals
Add evals for all 32 skills (197 total evals, 1261 assertions)
2026-03-04 15:59:31 -08:00
Corey Haines a3ab09378b Merge pull request #73 from coreyhaines31/feature/skill-description-optimization
Optimize all 32 skill descriptions for better triggering
2026-03-04 15:59:27 -08:00
Corey Haines 926c624d07 fix: address eval review - assertion mismatches and factual error
- marketing-psychology eval 4: BJ Fogg assertion did not match expected_output
  which lists Goal-Gradient Effect. Fixed.
- sales-enablement eval 2: all 6 categories assertion contradicted expected_output
  which only categorizes the 3 given objections. Fixed.
- ad-creative eval 5: TikTok hard limit corrected to recommended (80 chars
  recommended, 100 max) per SKILL.md.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 15:51:28 -08:00
Corey Haines 8c8090ed92 fix: resolve trigger phrase conflicts found in review
- sales-enablement: "ROI calculator" → "deal-specific ROI analysis" to avoid
  conflict with free-tool-strategy which also claims "ROI calculator"
- sales-enablement: clarified scope boundary to competitor-alternatives for
  battle cards (competitor-alternatives owns battle card creation)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 14:29:15 -08:00
Corey Haines b325e41c91 fix: address review — two more rigid imperatives caught
- sales-enablement: "Never demo without discovery" → "Demo after discovery, not before"
- site-architecture: "No exceptions" → explains why (backlink equity, broken pages)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 14:28:30 -08:00
Corey Haines b0a3a23699 refactor: replace rigid imperatives with reasoning-based guidance
Audit all 32 SKILL.md files against Anthropic's skill-creator writing
guidance ("why > MUST" pattern). Replaces ALWAYS/NEVER/MUST/IMPORTANT
imperatives with explanations of WHY the guidance matters.

17 edits across 14 skills:
- ad-creative: character limits reasoning, CTA headline reasoning
- seo-audit: schema detection warning softened, reasoning added
- programmatic-seo: subfolder vs subdomain reasoning
- paid-ads: exclusion list reasoning
- copywriting: honesty principle reasoning
- cold-email: follow-up value reasoning
- ai-seo: freshness signal reasoning
- churn-prevention: post-cancel path reasoning
- product-marketing-context: verbatim language reasoning
- popup-cro: close button visibility reasoning
- signup-flow-cro: label visibility reasoning
- form-cro: label visibility reasoning
- revops: fallback owner reasoning
- ab-test-setup: DON'T → Avoid

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 14:19:09 -08:00
Corey Haines 7e7e7a09d8 fix: align eval assertions with SKILL.md content per Codex review
Fixes 5 issues identified by independent Codex review:
- product-marketing-context: match auto-draft workflow, section flexibility
- marketing-psychology: replace phantom models with actual SKILL.md models
- ad-creative: correct RSA pinning guidance to match skill
- free-tool-strategy: boundary test now defers to related skill (page-cro)
- paywall-upgrade-cro: boundary test references only related skills

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 14:07:38 -08:00
Corey Haines 11e9ea811f feat: add evals for all 29 remaining skills (197 total evals across 32 skills)
Each skill now has 5-8 evals covering:
- Core framework usage with realistic prompts
- Casual trigger phrase variants
- Sub-type and section-specific coverage
- Boundary tests (skill deferral to related skills)
- Structured assertions for grading

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 13:37:01 -08:00
Corey Haines 831dbe9616 fix: improve evals with assertions, coverage gaps, and boundary tests
Changes per skill:

page-cro (5 -> 7 evals):
- Added structured assertions array to all evals
- Added Blog Post CRO eval (was missing)
- Added boundary eval: signup form should defer to signup-flow-cro
- Replaced feature page A/B test eval with fuller feature page eval

copywriting (5 -> 7 evals):
- Added structured assertions array to all evals
- Added About Page eval with voice/tone adaptation test
- Added boundary eval: email sequence should defer to email-sequence
- Added Quick Quality Check eval (buzzword/jargon/exclamation detection)
- Added meta content assertion to homepage eval

seo-audit (5 -> 8 evals):
- Added structured assertions array to all evals
- Added Local Business eval (NAP, GBP, location pages)
- Added Core Web Vitals / site speed eval
- Added boundary eval: FAQ schema should defer to schema-markup

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 13:12:20 -08:00
Corey Haines 6b1da2158e feat: add evals for page-cro, copywriting, and seo-audit skills
5 eval prompts per skill testing realistic user scenarios:
- page-cro: landing page audit, pricing page, homepage, feature page, redesign regression
- copywriting: homepage copy, headline rewrite, pricing page, landing page, CTA improvement
- seo-audit: full site audit, ranking diagnosis, migration recovery, e-commerce technical, blog content

Follows the skill-creator eval format with prompt + expected_output assertions.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 13:07:12 -08:00
Corey Haines e4283c6616 feat: optimize all 32 skill descriptions for better triggering
Following Anthropic skill-creator guidance that Claude undertriggers
skills, make descriptions pushier across all 32 skills:

- Add casual/frustrated user phrases
- Add implicit need triggers where users need the skill but dont name it
- Add catch-all sentences explaining when to use
- Add missing cross-references between related skills
- Ensure consistent format across all descriptions

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 13:02:05 -08:00
Corey Haines 633f9c642d Merge branch 'development' 2026-03-04 12:57:50 -08:00
Corey Haines 89fd57a8b0 Merge pull request #70 from coreyhaines31/feature/new-connector-tools
Add 10 new CLI tools and integration guides
2026-03-04 12:51:35 -08:00
Corey Haines a2e646c2e6 fix: update MCP tools list in CLAUDE.md, fix REGISTRY.md inconsistencies
- Add 6 new MCP-enabled tools to CLAUDE.md (zoominfo, clay, supermetrics,
  coupler, outreach, crossbeam)
- Fix broken Payments table in REGISTRY.md (blank row between stripe/paddle)
- Fix category name mismatch: "Competitive Intel" → "Competitive Intelligence"

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 12:42:15 -08:00
Corey Haines 9a2bb97784 fix: address codex review findings across new CLI tools
- supermetrics: fix query endpoint /query → /query/data/json
- airops: fix base URL /v1 → /public_api/v1
- zoominfo: fix auth --dry-run leaking real JWT, add response validation
- outreach: remove parseInt() on JSON:API string IDs (caused NaN)
- similarweb: add encodeURIComponent on domain in all URL paths
- coupler: fix dry-run auth mask from '***' to 'Bearer ***'
- clay: allow name-based enrich (--first-name + --last-name + --domain)
- pendo.md: fix guide state from 'published' to 'public'
- close.md: fix rate limit header names to ratelimit-*

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 23:08:36 -08:00
Corey Haines 4ff486a702 feat: add 10 new CLI tools and integration guides from Claude connectors
New tools: Clay, Outreach, ZoomInfo, Close, Pendo, Similarweb,
Supermetrics, AirOps, Crossbeam, and Coupler.io. Each includes a
zero-dependency Node.js CLI and an integration guide.

Updates REGISTRY.md with new tool index entries, categories, and
MCP-enabled tools list.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 21:59:51 -08:00
Corey Haines a3516be13d Merge development into main for v1.3.0 release 2026-03-02 11:32:29 -08:00
Corey Haines edd613d33f fix: correct typos and add missing skill in README relationship diagram
Fix "Measuremnt" typo, spell out truncated skill names (cold-email,
competitor, sales-enable), and add site-architecture to the diagram.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 11:31:41 -08:00
coreyhaines31 90a7e84d0e chore: sync skills with marketplace.json and README 2026-02-27 17:37:54 +00:00
Corey Haines cac82f3a40 Merge pull request #69 from coreyhaines31/development
Release: v1.1.0 -- agent-agnostic migration, 7 new skills, 51 CLI tools
2026-02-27 12:37:43 -05:00
Corey Haines 3a13e58808 fix: correct skill count and branding in marketplace.json
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 09:35:35 -08:00
Corey Haines e47e3a3073 Merge pull request #68 from coreyhaines31/feature/agents-directory-migration
Migrate context paths from .claude/ to .agents/
2026-02-27 12:28:04 -05:00
Corey Haines 8ea7487545 docs: rebrand to "Marketing Skills for AI Agents" with multi-agent support
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 09:19:51 -08:00
Corey Haines 1622c8e398 docs: add upgrading instructions for .agents/ migration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 09:16:12 -08:00
Corey Haines ee28bc4359 fix: add missing version metadata to cold-email skill
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 09:06:33 -08:00
Corey Haines f5badfe416 feat: migrate context paths from .claude/ to .agents/ for agent-agnostic compatibility
The .agents/skills/ directory is the emerging cross-agent standard adopted by
OpenAI Codex, Cursor, Windsurf, and npx skills. All 32 skills now check
.agents/product-marketing-context.md first with .claude/ fallback for older
setups. Install paths in README updated accordingly. Bumps all skills to 1.1.0.

Closes #50

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 09:01:33 -08:00
Corey Haines bc3253d30d Merge pull request #63 from coreyhaines31/feature/revops-sales-enablement
Add revops and sales-enablement skills
2026-02-23 14:55:08 -05:00
Corey Haines 12c34eb714 fix: resolve merge conflicts with development after site-architecture merge
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 11:54:56 -08:00
Corey Haines c4bc2fcc49 Merge pull request #62 from coreyhaines31/feature/sitemap-planner-skill
Add site-architecture skill
2026-02-23 14:54:22 -05:00
Corey Haines 0c24410a0b Merge pull request #67 from coreyhaines31/development
Merge development into main
2026-02-23 14:52:55 -05:00
Corey Haines 066c420416 Merge pull request #66 from coreyhaines31/docs/readme-updates
Add Magister link, skill relationship diagram, and issues encouragement
2026-02-23 14:51:04 -05:00
Corey Haines 08c100bc7b docs: add Magister link, skill relationship diagram, and issues encouragement
Add Magister CTA to intro, skill dependency diagram showing how all 31
skills relate through product-marketing-context, and a link to open
issues for questions/problems.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 11:48:17 -08:00
Corey Haines 8618c5bad2 feat: add revops and sales-enablement skills
Fill the revenue operations and internal sales collateral gaps in the
marketing skills collection. revops covers lead lifecycle, scoring,
routing, pipeline management, and CRM automation. sales-enablement
covers pitch decks, one-pagers, objection handling, demo scripts, and
sales playbooks. Cross-references added to 6 existing skills.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 15:31:43 -08:00
Corey Haines 488d09cda5 feat: add site-architecture skill for website structure planning
Fills the gap between content strategy and SEO skills — covers page
hierarchy, navigation design, URL structure, and internal linking.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-21 03:29:50 -08:00
coreyhaines31 ea8df8290a chore: sync skills with marketplace.json and README 2026-02-19 20:56:56 +00:00
Corey Haines 4f803988e8 Merge pull request #58 from coreyhaines31/feature/churn-prevention-skill
Add churn-prevention skill
2026-02-19 15:56:46 -05:00
Corey Haines 4fef22901e fix: resolve merge conflicts with main after ai-seo merge
Both ai-seo and churn-prevention updated marketplace.json and
VERSIONS.md. Merged both entries, bumped skill count to 29.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-19 12:56:34 -08:00
coreyhaines31 16a2f788d4 chore: sync skills with marketplace.json and README 2026-02-19 20:56:00 +00:00
Corey Haines 8f8ae292ea Merge pull request #59 from coreyhaines31/feature/ai-seo-skill
Add ai-seo skill for AI search optimization
2026-02-19 15:55:50 -05:00
Corey Haines 6914c62688 refactor: rewrite platform-ranking-factors to be original
Rewrote platform-ranking-factors.md from scratch with our own
organizational approach. Replaced table-heavy format with narrative
prose, different section structure, and synthesized analysis.
Updated SKILL.md robots.txt section to match.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-19 12:29:06 -08:00
Corey Haines 5436b34b98 feat: add GEO research data and platform-specific ranking factors
Add Princeton GEO study (KDD 2024) 9-method table with exact visibility
percentages to SKILL.md. Add AI bot robots.txt configuration. Add keyword
stuffing warning (-10% visibility). Add platform-ranking-factors.md reference
with per-platform details: Google AI Overviews (5-stage pipeline), ChatGPT
(content-answer fit 55%, 30-day freshness 3.2x), Perplexity (3-layer RAG,
FAQ Schema priority), Copilot (Bing index + MS ecosystem), Claude (Brave
Search, 38K:1 crawl-to-refer ratio).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-18 17:14:33 -08:00
Corey Haines ce8dd3b41a feat: add ai-seo skill for AI search optimization (AEO, GEO, LLMO)
Split AEO/GEO content patterns out of seo-audit into a standalone ai-seo
skill. Covers AI visibility auditing, content extractability, authority
signals, third-party presence strategy, schema markup for AI, monitoring
tools (Otterly, Peec AI, ZipTie), and optimization by content type.

Moves aeo-geo-patterns.md from seo-audit/references to ai-seo/references
(renamed to content-patterns.md). Updates seo-audit to cross-reference
the new skill.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-18 17:06:09 -08:00
Corey Haines 10a708747d feat: add PostHog and ab-test-setup guidance for cancel flow experiments
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-18 14:04:04 -08:00
Corey Haines abb6e87c04 feat: add churn-prevention skill for cancel flows, save offers, and dunning
Covers voluntary churn (exit surveys, dynamic save offers, pause/downgrade,
cancel flow UI patterns) and involuntary churn (smart retries, dunning emails,
card updaters, grace periods). Includes Churnkey-style offer-to-reason mapping,
health scoring model, proactive retention triggers, and provider-specific
dunning setup for Stripe, Chargebee, Paddle, and Recurly.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-18 13:56:32 -08:00
Corey Haines ce37279f12 Merge pull request #57 from coreyhaines31/feature/ad-creative-skill
Add ad-creative skill
2026-02-18 16:44:19 -05:00
Corey Haines d4e6ef796c feat: add Voicebox as open-source ElevenLabs alternative
Free, local-first voice synthesis studio (MIT license) powered by Qwen3-TTS.
Voice cloning from short samples, local REST API, no per-character costs.
4-5x faster on Apple Silicon via MLX.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-18 10:23:33 -08:00
Corey Haines f2a755f750 fix: correct character counts, platform specs, API model name, pricing
- Fix 3 wrong character counts in ad copy examples (all off by +1)
- Fix TikTok ad text: 80 recommended / 100 max (was 100 recommended)
- Fix LinkedIn description: add 300 max (was missing)
- Fix Gemini API model name: gemini-2.5-flash-image (was gemini-2.0-flash-exp)
- Fix Cartesia pricing: $0.03/min (was $0.0085/sec)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 23:37:22 -08:00
Corey Haines 256eec8709 feat: add voice and audio generation tools to generative reference
Covers ElevenLabs (voice cloning, best quality), OpenAI TTS (cheap at scale),
Cartesia Sonic (40ms latency), PlayHT, Resemble AI, WellSaid Labs, Fish Audio,
and cloud providers. Includes comparison table, decision tree, and voice+video
layering workflow with ffmpeg.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 23:31:50 -08:00
Corey Haines 6744cfcd91 feat: add Seedance 2.0 to generative tools reference
ByteDance's video model with native audio, up to 2K resolution, multimodal
inputs (12 references), and OpenAI-compatible API. Estimated 10-100x cheaper
than Sora 2 per clip, making it ideal for high-volume ad production.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 23:29:22 -08:00
Corey Haines bd00de7288 feat: add generative AI tools reference for ad creative
Covers image generation (Nano Banana Pro, Flux, Ideogram), video generation
(Veo, Kling, Runway, Sora, Higgsfield), and code-based video (Remotion).
Includes decision tree, cost comparison for 100+ variations, platform image
specs, and recommended hybrid workflow for scaled ad production.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 23:21:47 -08:00
Corey Haines 2497b090dc feat: add ad-creative skill for bulk ad creative generation and iteration
Inspired by Anthropic growth marketing team workflows. Covers generating
headlines, descriptions, and primary text at scale across Google Ads, Meta,
LinkedIn, TikTok, and Twitter/X with platform character limits, performance
based iteration loops, and batch generation workflows.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 23:17:35 -08:00
Corey Haines a857eb683a Merge pull request #56 from coreyhaines31/development
feat: add 51 zero-dependency CLI tools for marketing platforms
2026-02-18 01:59:26 -05:00
Corey Haines 6aa03c3217 docs: add CLI tools release to VERSIONS.md changelog
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 22:47:42 -08:00
Corey Haines 8eaff5e29f fix: add input validation and safe JSON parsing across 13 CLIs
Add missing parameter validation to prevent /path/undefined API calls:
- dub: require --url for links create
- google-search-console: require --sitemap-url for sitemaps submit
- kit: validate IDs and emails for subscribers, forms, sequences, tags, broadcasts
- mailchimp: validate IDs for lists get, campaigns get/create/send, members add, reports get
- resend: validate --from/--to/--subject for send, audience/contact IDs for contacts
- rewardful: validate IDs for affiliates get/update, commissions get, links create
- semrush: require --domain/--phrase for all domain and keyword commands
- sendgrid: validate --from/--to/--subject for send, campaign IDs, email for validate

Wrap bare JSON.parse() calls in try/catch for user-provided JSON:
- dub (--links), ga4 (--params), kit (--fields x4), mixpanel (--properties x2),
  onesignal (--filters), paddle (--scheduled-change, --items x2),
  resend (--emails, --variables x2), segment (--properties, --traits, --events),
  sendgrid (--template-data)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 22:44:06 -08:00
Corey Haines 51bdf2f6b3 fix: correct auth issues in amplitude, livestorm, mixpanel, onesignal
- amplitude: mask api_key in dry-run body output
- livestorm: add missing Bearer prefix to Authorization header
- mixpanel: mask token/$token in dry-run ingestion body output
- onesignal: change auth from 'Key' to 'Basic' per OneSignal REST API docs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 22:40:03 -08:00
Corey Haines c1be574c8b fix: security hardening — move meta-ads to header auth, encode URLs
Critical:
- meta-ads: move access_token from URL query string to Authorization
  header to prevent credential leakage in server logs and referrers

Medium (URL encoding):
- g2: encode state and date filter values
- trustpilot: use URLSearchParams for reviews list params
- typeform: encode response IDs in delete endpoint
- demio: encode event type filter
- lemlist: encode email addresses in URL path segments

Docs:
- Fix 6 missing env vars in CLI README auth table
- Fix .gitignore typo (extra space in .DS_Store pattern)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 22:39:16 -08:00
Corey Haines 47b4571ca2 Merge remote-tracking branch 'origin/main' into development 2026-02-17 22:26:15 -08:00
Corey Haines 2d0e7bc34c Merge pull request #51 from Jiliac/feature/cold-email
High-quality cold-email skill with benchmarks, frameworks, and follow-up sequences. Complements email-sequence (lifecycle) and the new email outreach CLIs.
2026-02-18 01:25:44 -05:00
Corey Haines a4e7890eb1 Merge pull request #52 from upalkhouski/claude/fix-skill-version-property-0LwK3
Fixes spec compliance — version belongs under metadata, not top-level. Fixes Claude Desktop skill loading.
2026-02-18 01:25:26 -05:00
Corey Haines f39dfd0210 Merge pull request #46 from Ray0907/fix/reference-files-add-toc
Follows Anthropic's best practices — TOC on reference files over 100 lines.
2026-02-18 01:25:12 -05:00
Corey Haines a71f31c51e Merge pull request #53 from willscott-v2/fix/seo-audit-schema-detection-warning
Real bug fix — web_fetch strips JSON-LD schema, affecting audit accuracy.
2026-02-18 01:25:06 -05:00
Corey Haines c4b698f996 chore: harden repo for open source contributors
- Expand .gitignore with .env, .DS_Store, node_modules, editor files,
  and macOS iCloud duplicate patterns
- Add security section to CLI README warning against hardcoded keys
- Update AGENTS.md with CLI tools in repo structure and build commands
- Trash 40 macOS "2.md" duplicate files from working tree

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 15:12:00 -08:00
Corey Haines 2349865acb fix: correct remaining 5 API issues from codex review
- meta-ads: use empty array for special_ad_categories (not ['NONE'])
- ahrefs: add --target validation to all 5 site-explorer commands
- wistia: read SRT file contents from disk for captions create
- tiktok-ads: use URLSearchParams for cleaner URL construction
- mixpanel: require --from-date/--to-date for retention, add --event filter for export

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 14:38:36 -08:00
Corey Haines ebdf1dd2f1 fix: correct API issues found by second codex review across 14 CLIs
Fixes from thorough codex review (o3 high reasoning, 5 parallel batches):

Validation fixes:
- customer-io: add ID validation for customer/campaign commands, event name check
- dub: fix links get to use /links/info endpoint, add --id validation
- google-search-console: fix countries to use ['country'] only, add --url validation
- mention-me: add --customer-id validation on referral/share/reward commands
- tolt: add --id validation for affiliates get/update

Auth & API fixes:
- apollo: move API key from header to JSON body, fix search endpoint path
- rewardful: change from Bearer to Basic auth
- hotjar: split OAuth URL (unversioned) from resource URL (v2)
- amplitude: wrap retention e param in JSON array
- snov: change list prospects from GET to POST with JSON body
- optimizely: change archive from DELETE to PATCH status=archived
- google-ads: fix budget body field from camelCase to snake_case
- resend: change webhook field from endpoint to url, add validation
- linkedin-ads: add required campaignGroup URN, fix numeric amount types

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 14:31:29 -08:00
Corey Haines aad399682c feat: add email outreach CLIs for backlink building
Add 4 new zero-dependency CLI tools for email outreach:
- hunter.js: Email finding/verification via Hunter.io (query param auth)
- snov.js: Email finding + drip campaigns via Snov.io (OAuth2 auth)
- lemlist.js: Cold email campaigns via Lemlist (Basic auth)
- instantly.js: Cold email at scale via Instantly.ai (query param auth)

Includes integration guides and registry/README updates.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 14:09:50 -08:00
Corey Haines f123804827 fix: correct API issues found by codex review across 10 CLIs
Fixes found by automated codex review of all 47 CLI tools:

- resend: webhook field name endpoint_url -> endpoint
- mailchimp: change from Bearer to Basic auth per API docs
- kit: fail fast when api_secret required but not set
- activecampaign: automation add-contact needs --contact-id not --email
- google-ads: budget updateMask must be snake_case (amount_micros)
- meta-ads: special_ad_categories default to ['NONE'] not empty array
- linkedin-ads: add required X-RestLi-Protocol-Version header
- onesignal: auth prefix should be Key, not Basic
- mixpanel: query dates must be YYYY-MM-DD, not relative strings
- wistia: change from Bearer to Basic auth per API docs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 11:57:42 -08:00
Corey Haines 8ce007c983 fix: correct Adobe Analytics missing header and Clearbit auth method
- Adobe Analytics: add required x-proxy-global-company-id header
  (Adobe Analytics 2.0 API rejects requests without this header)
- Clearbit: change from Bearer to Basic auth (API key as username)
  per Clearbit API documentation

Found by codex review of all 47 CLI tools.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 11:55:05 -08:00
Corey Haines 2c26f8497b feat: add --dry-run flag to all 47 CLI tools
When --dry-run is passed, each CLI prints the HTTP request it would
make (method, URL, headers, body) without actually calling fetch().
Auth credentials are masked as "***" in the output.

Useful for verifying request shape and API endpoints without needing
real API keys or making actual API calls.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 11:47:12 -08:00
Corey Haines 3a85964305 feat: add 23 new CLI tools and integration guides
New tools across 13 categories:
- Email/Newsletter: beehiiv, klaviyo, postmark, brevo, activecampaign
- Data Enrichment: clearbit, apollo
- CRO/Testing: hotjar, optimizely
- Analytics: plausible
- Scheduling: calendly, savvycal
- Forms: typeform
- Messaging: intercom
- Social: buffer
- Video: wistia
- Payments: paddle
- Affiliate: partnerstack
- Reviews: trustpilot, g2
- Push: onesignal
- Webinar: demio, livestorm

Each tool includes a zero-dependency CLI and integration guide.
Registry and CLI README updated with all new entries.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 11:28:41 -08:00
Corey Haines 8dba2d53de feat: add DataForSEO and Keywords Everywhere CLIs and integration guides
Add two new SEO tool integrations with zero-dependency CLI tools and
detailed API documentation for agent use.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 11:10:47 -08:00
Corey Haines 98bd9ede62 feat: add 22 zero-dependency CLI tools for marketing platforms
Single-file Node.js scripts for every tool in the registry that lacked
a CLI. All follow the same pattern: env var auth, JSON output, consistent
`{tool} <resource> <action>` command structure, zero npm dependencies.

CLIs added: resend, sendgrid, mailchimp, kit, customer-io, ahrefs,
semrush, google-search-console, ga4, mixpanel, amplitude, segment,
adobe-analytics, rewardful, tolt, mention-me, dub, google-ads,
meta-ads, linkedin-ads, tiktok-ads, zapier.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 06:28:46 -08:00
Valentin Manes b260631f47 docs: rewrite cold email skill guide with human-first approach 2026-02-17 07:22:05 +01:00
willscott-v2 170af13f24 seo-audit: Add warning about web_fetch unable to detect JS-rendered schema
web_fetch strips <script> tags during HTML→markdown conversion, which
silently discards JSON-LD schema blocks. Additionally, many CMS plugins
(AIOSEO, Yoast, RankMath) inject schema via client-side JavaScript,
making it invisible to both web_fetch and curl.

This has led to false audit findings in production (reporting 'zero
structured data' on sites with extensive schema implementation).

Adds a prominent warning in the Audit Framework section and a note
in the Tools section recommending browser rendering, Rich Results Test,
or Screaming Frog for accurate schema detection.
2026-02-15 07:12:46 -06:00
Claude 357e663767 feat: add official skills-ref validation script
Added validate-skills-official.sh that uses the official skills-ref
library from https://github.com/agentskills/agentskills for validation.

This replaces the custom bash validation with the canonical implementation
used by the Agent Skills project. All 25 skills pass validation.

Usage: ./validate-skills-official.sh

https://claude.ai/code/session_01DboBqyncsUPg5Z5qpLJx4x
2026-02-15 10:08:14 +00:00
Claude 7aa119cd85 feat: enhance skill validation with comprehensive checks
Enhanced validate-skills.sh to include:
- Better error reporting with per-skill details
- Validation of optional fields (license, metadata)
- Check for version placement (must be under metadata)
- Description quality checks (trigger phrases, related skills)
- Improved frontmatter parsing for quoted/unquoted descriptions
- File structure validation (optional directories)

Currently: 22 passed, 3 warnings (missing related skills references)

https://claude.ai/code/session_01DboBqyncsUPg5Z5qpLJx4x
2026-02-15 10:05:52 +00:00
Claude 3a56b53ecd feat: add skill specification validation script
Created validate-skills.sh to audit all skills against the Agent Skills
specification. Validates name format, frontmatter fields, description length,
and trigger phrases. All 25 skills currently pass validation.

https://claude.ai/code/session_01DboBqyncsUPg5Z5qpLJx4x
2026-02-15 10:01:39 +00:00
Claude 1865cd29be fix: move version from top-level to metadata in all SKILL.md frontmatter
Per the Agent Skills spec, `version` is not a valid top-level frontmatter
field. It belongs under `metadata` as a key-value pair. This fixes all 25
skills to use the correct structure.

https://claude.ai/code/session_01DboBqyncsUPg5Z5qpLJx4x
2026-02-15 09:43:44 +00:00
Valentin Manes d8df68677f fix: codex review 2026-02-14 15:15:42 +01:00
Valentin Manes 90b253d5ca feat: add cold-email skill for B2B outreach and follow-up sequences 2026-02-14 14:58:16 +01:00
Ray Tien aa58db4bf8 fix: add table of contents to all reference files
Per Anthropic's Agent Skills best practices, reference files over
  100 lines should include a TOC so Claude can see full scope when
  previewing with partial reads. Added ## Contents section to all
  32 reference files.
2026-02-08 17:42:34 +08:00
Corey Haines a04cb61a57 Add funding usernames to FUNDING.yml
Updated funding model with GitHub Sponsors and Buy Me a Coffee usernames.
2026-01-28 00:06:49 -08:00
318 changed files with 45049 additions and 518 deletions
+4 -32
View File
@@ -5,43 +5,15 @@
"url": "https://corey.co"
},
"metadata": {
"description": "Marketing skills for Claude Code — conversion optimization, copywriting, SEO, paid ads, and growth",
"version": "1.0.0",
"description": "Marketing skills for AI agents — conversion optimization, copywriting, SEO, paid ads, and growth",
"version": "2.0.1",
"repository": "https://github.com/coreyhaines31/marketingskills"
},
"plugins": [
{
"name": "marketing-skills",
"description": "25 marketing skills for technical marketers and founders: CRO, copywriting, SEO, paid ads, pricing strategy, referral programs, and more",
"source": "./",
"strict": false,
"skills": [
"./skills/ab-test-setup",
"./skills/analytics-tracking",
"./skills/competitor-alternatives",
"./skills/content-strategy",
"./skills/copy-editing",
"./skills/copywriting",
"./skills/email-sequence",
"./skills/form-cro",
"./skills/free-tool-strategy",
"./skills/launch-strategy",
"./skills/marketing-ideas",
"./skills/marketing-psychology",
"./skills/onboarding-cro",
"./skills/page-cro",
"./skills/paid-ads",
"./skills/paywall-upgrade-cro",
"./skills/popup-cro",
"./skills/pricing-strategy",
"./skills/product-marketing-context",
"./skills/programmatic-seo",
"./skills/referral-program",
"./skills/schema-markup",
"./skills/seo-audit",
"./skills/signup-flow-cro",
"./skills/social-content"
]
"description": "40 marketing skills for technical marketers and founders: CRO, copywriting, cold email, SEO, AI SEO, paid ads, ad creative, video production, image generation, co-marketing, churn prevention, pricing, referrals, revenue operations, sales enablement, customer research, site architecture, and more",
"source": "./"
}
]
}
+12
View File
@@ -0,0 +1,12 @@
{
"name": "marketing-skills",
"description": "Marketing skills for AI agents — conversion optimization, copywriting, SEO, paid ads, ad creative, and growth",
"version": "1.9.0",
"author": {
"name": "Corey Haines"
},
"homepage": "https://github.com/coreyhaines31/marketingskills",
"repository": "https://github.com/coreyhaines31/marketingskills",
"license": "MIT",
"skills": "./skills"
}
+4
View File
@@ -0,0 +1,4 @@
# These are supported funding model platforms
github: coreyhaines31
buy_me_a_coffee: coreyhaines
+1 -1
View File
@@ -69,6 +69,6 @@ body:
attributes:
label: Related existing skills
description: Are there existing skills this relates to or differs from?
placeholder: "Similar to page-cro but focused on..."
placeholder: "Similar to cro but focused on..."
validations:
required: false
+14 -15
View File
@@ -132,27 +132,29 @@ function updateReadme(skills) {
}
/**
* Update marketplace.json with skills list
* Update marketplace.json — refresh the skill count in the plugin description
* and strip any `skills` array if present. Claude Code's plugin schema discovers
* skills via the `skills/` directory; the explicit array fails validation, so
* this script must never (re-)introduce it.
*/
function updateMarketplace(skills) {
const marketplace = JSON.parse(fs.readFileSync(MARKETPLACE_FILE, "utf8"));
const plugin = marketplace.plugins[0];
const existingSkills = plugin.skills || [];
const currentSkills = skills.map((s) => s.path);
if (JSON.stringify(currentSkills) === JSON.stringify(existingSkills)) {
const oldDescription = plugin.description;
const newDescription = updateSkillCount(plugin.description, skills.length);
const hadStaleSkillsArray = "skills" in plugin;
if (newDescription === oldDescription && !hadStaleSkillsArray) {
return { updated: false };
}
plugin.skills = currentSkills;
plugin.description = updateSkillCount(plugin.description, currentSkills.length);
plugin.description = newDescription;
delete plugin.skills;
fs.writeFileSync(MARKETPLACE_FILE, JSON.stringify(marketplace, null, 2) + "\n");
const added = currentSkills.filter((s) => !existingSkills.includes(s));
const removed = existingSkills.filter((s) => !currentSkills.includes(s));
return { updated: true, added, removed };
return { updated: true, removedSkillsArray: hadStaleSkillsArray };
}
function main() {
@@ -167,11 +169,8 @@ function main() {
}
if (marketplaceResult.updated) {
if (marketplaceResult.added.length) {
console.log(`Added: ${marketplaceResult.added.join(", ")}`);
}
if (marketplaceResult.removed.length) {
console.log(`Removed: ${marketplaceResult.removed.join(", ")}`);
if (marketplaceResult.removedSkillsArray) {
console.log("Stripped stale `skills` array from marketplace.json");
}
console.log(`Updated marketplace.json (${skills.length} skills)`);
}
+25 -2
View File
@@ -1,2 +1,25 @@
# Remotion video project
video/
# Dependencies
node_modules/
# Environment variables / secrets
.env
.env.*
!.env.example
# macOS
.DS_Store
**/.DS_Store
# macOS / iCloud duplicate files
* 2.*
* 2/
# Remotion video project (root only, not skills/video/)
/video/
# Editor
*.swp
*.swo
*~
.idea/
.vscode/
+58 -12
View File
@@ -4,7 +4,7 @@ Guidelines for AI agents working in this repository.
## Repository Overview
This repository contains **Agent Skills** for AI agents following the [Agent Skills specification](https://agentskills.io/specification.md). It also serves as a **Claude Code plugin marketplace** via `.claude-plugin/marketplace.json`.
This repository contains **Agent Skills** for AI agents following the [Agent Skills specification](https://agentskills.io/specification.md). Skills install to `.agents/skills/` (the cross-agent standard). This repo also serves as a **Claude Code plugin marketplace** via `.claude-plugin/marketplace.json`.
- **Name**: Marketing Skills
- **GitHub**: [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills)
@@ -20,6 +20,11 @@ marketingskills/
├── skills/ # Agent Skills
│ └── skill-name/
│ └── SKILL.md # Required skill file
├── tools/
│ ├── clis/ # Zero-dependency Node.js CLI tools (51 tools)
│ ├── composio/ # Composio integration layer (quick start + toolkit mapping)
│ ├── integrations/ # API integration guides per tool
│ └── REGISTRY.md # Tool index with capabilities
├── CONTRIBUTING.md
├── LICENSE
└── README.md
@@ -27,14 +32,19 @@ marketingskills/
## Build / Lint / Test Commands
**Not applicable** - This is a content-only repository with no executable code.
Verify manually:
**Skills** are content-only (no build step). Verify manually:
- YAML frontmatter is valid
- `name` field matches directory name exactly
- `name` is 1-64 chars, lowercase alphanumeric and hyphens only
- `description` is 1-1024 characters
**CLI tools** (`tools/clis/*.js`) are zero-dependency Node.js scripts (Node 18+). Verify with:
```bash
node --check tools/clis/<name>.js # Syntax check
node tools/clis/<name>.js # Show usage (no args = help)
node tools/clis/<name>.js <cmd> --dry-run # Preview request without sending
```
## Agent Skills Specification
Skills follow the [Agent Skills spec](https://agentskills.io/specification.md).
@@ -64,7 +74,7 @@ description: What this skill does and when to use it. Include trigger phrases.
- No consecutive hyphens (`--`)
- Must match parent directory name exactly
**Valid**: `page-cro`, `email-sequence`, `ab-test-setup`
**Valid**: `cro`, `emails`, `ab-testing`
**Invalid**: `Page-CRO`, `-page`, `page--cro`
### Optional Skill Directories
@@ -114,7 +124,7 @@ The `description` is critical for skill discovery. Include:
3. Related skills for scope boundaries
```yaml
description: When the user wants to optimize conversions on any marketing page. Use when the user says "CRO," "conversion rate optimization," "this page isn't converting." For signup flows, see signup-flow-cro.
description: When the user wants to optimize conversions on any marketing page. Use when the user says "CRO," "conversion rate optimization," "this page isn't converting." For signup flows, see signup.
```
## Claude Code Plugin
@@ -141,7 +151,7 @@ See [Claude Code plugins documentation](https://code.claude.com/docs/en/plugins.
Follow the [Conventional Commits](https://www.conventionalcommits.org/) specification:
- `feat: add skill-name skill`
- `fix: improve clarity in page-cro`
- `fix: improve clarity in cro`
- `docs: update README`
### Pull Request Checklist
@@ -158,7 +168,8 @@ This repository includes a tools registry for agent-compatible marketing tools.
- **Tool discovery**: Read `tools/REGISTRY.md` to see available tools and their capabilities
- **Integration details**: See `tools/integrations/{tool}.md` for API endpoints, auth, and common operations
- **MCP-enabled tools**: ga4, stripe, mailchimp, google-ads, resend, zapier
- **MCP-enabled tools**: ga4, stripe, mailchimp, google-ads, resend, zapier, zoominfo, clay, supermetrics, coupler, outreach, crossbeam, introw, composio
- **Composio** (integration layer): Adds MCP access to OAuth-heavy tools without native MCP servers (HubSpot, Salesforce, Meta Ads, LinkedIn Ads, Google Sheets, Slack, etc.). See `tools/integrations/composio.md`
### Registry Structure
@@ -175,10 +186,12 @@ tools/
### When to Use Tools
Skills reference relevant tools for implementation. For example:
- `referral-program` skill → rewardful, tolt, dub-co, mention-me guides
- `analytics-tracking` skill → ga4, mixpanel, segment guides
- `email-sequence` skill → customer-io, mailchimp, resend guides
- `paid-ads` skill → google-ads, meta-ads, linkedin-ads guides
- `referrals` skill → rewardful, tolt, dub-co, mention-me guides
- `analytics` skill → ga4, mixpanel, segment guides
- `emails` skill → customer-io, mailchimp, resend guides
- `ads` skill → google-ads, meta-ads, linkedin-ads guides
For tools without native MCP servers (HubSpot, Salesforce, Meta Ads, LinkedIn Ads, Google Sheets, Slack, Notion), Composio provides MCP access via a single server. See `tools/integrations/composio.md` for setup and `tools/composio/marketing-tools.md` for the full toolkit mapping.
## Checking for Updates
@@ -206,3 +219,36 @@ When using any skill from this repository:
## Skill Categories
See `README.md` for the current list of skills organized by category. When adding new skills, follow the naming patterns of existing skills in that category.
## Claude Code-Specific Enhancements
These patterns are **Claude Code only** and must not be added to `SKILL.md` files directly, as skills are designed to be cross-agent compatible (Codex, Cursor, Windsurf, etc.). Apply them locally in your own project's `.claude/skills/` overrides instead.
### Dynamic content injection with `!`command``
Claude Code supports embedding shell commands in SKILL.md using `` !`command` `` syntax. When the skill is invoked, Claude Code runs the command and injects the output inline — the model sees the result, not the instruction.
**Most useful application: auto-inject the product marketing context file**
Instead of every skill telling the agent "go check if `.agents/product-marketing.md` exists and read it," you can inject it automatically:
```markdown
Product context: !`cat .agents/product-marketing.md 2>/dev/null || echo "No product context file found — ask the user about their product before proceeding."`
```
Place this at the top of a skill's body (after frontmatter) to make context available immediately without any file-reading step.
**Other useful injections:**
```markdown
# Inject today's date for recency-sensitive skills
Today's date: !`date +%Y-%m-%d`
# Inject current git branch (useful for workflow skills)
Current branch: !`git branch --show-current 2>/dev/null`
# Inject recent commits for context
Recent commits: !`git log --oneline -5 2>/dev/null`
```
**Why this is Claude Code-only**: Other agents that load skills will see the literal `` !`command` `` string rather than executing it, which would appear as garbled instructions. Keep cross-agent skill files free of this syntax.
+1 -1
View File
@@ -33,7 +33,7 @@ Optional frontmatter fields: `license` (default: MIT), `metadata` (author, versi
### 3. Follow the naming conventions
- **Directory name**: lowercase, hyphens only (e.g., `email-sequence`)
- **Directory name**: lowercase, hyphens only (e.g., `emails`)
- **Name field**: must match directory name exactly
- **Description**: 1-1024 characters, include trigger phrases
+172 -53
View File
@@ -1,47 +1,100 @@
# Marketing Skills for Claude Code
# Marketing Skills for AI Agents
A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want Claude Code (or similar AI coding assistants) to help with conversion optimization, copywriting, SEO, analytics, and growth engineering.
A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want AI coding agents to help with conversion optimization, copywriting, SEO, analytics, and growth engineering. Works with Claude Code, OpenAI Codex, Cursor, Windsurf, and any agent that supports the [Agent Skills spec](https://agentskills.io).
Built by [Corey Haines](https://corey.co?ref=marketingskills). Need hands-on help? Check out [Conversion Factory](https://conversionfactory.co?ref=marketingskills) — Corey's agency for conversion optimization, landing pages, and growth strategy. Want to learn more about marketing? Subscribe to [Swipe Files](https://swipefiles.com?ref=marketingskills).
Built by [Corey Haines](https://corey.co?ref=marketingskills). Need hands-on help? Check out [Conversion Factory](https://conversionfactory.co?ref=marketingskills) — Corey's agency for conversion optimization, landing pages, and growth strategy. Want to learn more about marketing? Subscribe to [Swipe Files](https://swipefiles.com?ref=marketingskills). Want an autonomous AI agent that uses these skills to be your CMO? Try [Magister](https://magistermarketing.com?ref=marketingskills).
New to the terminal and coding agents? Check out the companion guide [Coding for Marketers](https://codingformarketers.com?ref=marketingskills).
**Contributions welcome!** Found a way to improve a skill or have a new one to add? [Open a PR](#contributing).
Run into a problem or have a question? [Open an issue](https://github.com/coreyhaines31/marketingskills/issues) — we're happy to help.
## What are Skills?
Skills are markdown files that give AI agents specialized knowledge and workflows for specific tasks. When you add these to your project, Claude Code can recognize when you're working on a marketing task and apply the right frameworks and best practices.
Skills are markdown files that give AI agents specialized knowledge and workflows for specific tasks. When you add these to your project, your agent can recognize when you're working on a marketing task and apply the right frameworks and best practices.
## How Skills Work Together
Skills reference each other and build on shared context. The `product-marketing` skill is the foundation — every other skill checks it first to understand your product, audience, and positioning before doing anything.
```
┌──────────────────────────────────────┐
│ product-marketing │
│ (read by all other skills first) │
└──────────────────┬───────────────────┘
┌──────────────┬─────────────┬─────────────┼─────────────┬──────────────┬──────────────┐
▼ ▼ ▼ ▼ ▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐ ┌────────────┐ ┌──────────┐ ┌─────────────┐ ┌───────────┐
│ SEO & │ │ CRO │ │Content & │ │ Paid & │ │ Growth & │ │ Sales & │ │ Strategy │
│ Content │ │ │ │ Copy │ │Measurement │ │Retention │ │ GTM │ │ │
├──────────┤ ├──────────┤ ├──────────┤ ├────────────┤ ├──────────┤ ├─────────────┤ ├───────────┤
│seo-audit │ │cro │ │copywritng│ │ads │ │referrals │ │revops │ │mktg-ideas │
│ai-seo │ │signup │ │copy-edit │ │ad-creative │ │free-tools│ │sales-enable │ │mktg-psych │
│site-arch │ │onboarding│ │cold-email│ │ab-testing │ │churn- │ │launch │ │customer- │
│programm │ │popups │ │emails │ │analytics │ │ prevent │ │pricing │ │ research │
│schema │ │paywalls │ │social │ │ │ │community │ │competitors │ │ │
│content │ │ │ │video │ │ │ │lead-magnt│ │comp-profile │ │ │
│aso │ │ │ │image │ │ │ │co-mktg │ │directory │ │ │
└────┬─────┘ └────┬─────┘ └────┬─────┘ └─────┬──────┘ └────┬─────┘ └──────┬──────┘ └─────┬─────┘
│ │ │ │ │ │ │
└────────────┴─────┬──────┴──────────────┴─────────────┴──────────────┴──────────────┘
Skills cross-reference each other:
copywriting ↔ cro ↔ ab-testing
revops ↔ sales-enablement ↔ cold-email
seo-audit ↔ schema ↔ ai-seo
customer-research → copywriting, cro, competitors
```
See each skill's **Related Skills** section for the full dependency map.
## Available Skills
<!-- SKILLS:START -->
| Skill | Description |
|-------|-------------|
| [ab-test-setup](skills/ab-test-setup/) | When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B... |
| [analytics-tracking](skills/analytics-tracking/) | When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions... |
| [competitor-alternatives](skills/competitor-alternatives/) | When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when... |
| [ab-testing](skills/ab-testing/) | When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.... |
| [ad-creative](skills/ad-creative/) | When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad... |
| [ads](skills/ads/) | When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X,... |
| [ai-seo](skills/ai-seo/) | When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers.... |
| [analytics](skills/analytics/) | When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions... |
| [aso](skills/aso/) | When the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO... |
| [churn-prevention](skills/churn-prevention/) | When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or... |
| [co-marketing](skills/co-marketing/) | When the user wants to find co-marketing partners, plan joint campaigns, or brainstorm partnership opportunities. Use... |
| [cold-email](skills/cold-email/) | Write B2B cold emails and follow-up sequences that get replies. Use when the user wants to write cold outreach emails,... |
| [community-marketing](skills/community-marketing/) | Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a... |
| [competitor-profiling](skills/competitor-profiling/) | When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions... |
| [competitors](skills/competitors/) | When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when... |
| [content-strategy](skills/content-strategy/) | When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also... |
| [copy-editing](skills/copy-editing/) | When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this... |
| [copy-editing](skills/copy-editing/) | When the user wants to edit, review, or improve existing marketing copy, or refresh outdated content. Also use when the... |
| [copywriting](skills/copywriting/) | When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages,... |
| [email-sequence](skills/email-sequence/) | When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email... |
| [form-cro](skills/form-cro/) | When the user wants to optimize any form that is NOT signup/registration — including lead capture forms, contact forms,... |
| [free-tool-strategy](skills/free-tool-strategy/) | When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or... |
| [launch-strategy](skills/launch-strategy/) | When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user... |
| [cro](skills/cro/) | When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage,... |
| [customer-research](skills/customer-research/) | When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer... |
| [directory-submissions](skills/directory-submissions/) | When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for... |
| [emails](skills/emails/) | When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email... |
| [free-tools](skills/free-tools/) | When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or... |
| [image](skills/image/) | When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product... |
| [launch](skills/launch/) | When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user... |
| [lead-magnets](skills/lead-magnets/) | When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the... |
| [marketing-ideas](skills/marketing-ideas/) | When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the... |
| [marketing-psychology](skills/marketing-psychology/) | When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when... |
| [onboarding-cro](skills/onboarding-cro/) | When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also... |
| [page-cro](skills/page-cro/) | When the user wants to optimize, improve, or increase conversions on any marketing page — including homepage, landing... |
| [paid-ads](skills/paid-ads/) | When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X,... |
| [paywall-upgrade-cro](skills/paywall-upgrade-cro/) | When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use... |
| [popup-cro](skills/popup-cro/) | When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also... |
| [pricing-strategy](skills/pricing-strategy/) | When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions... |
| [product-marketing-context](skills/product-marketing-context/) | When the user wants to create or update their product marketing context document. Also use when the user mentions... |
| [onboarding](skills/onboarding/) | When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also... |
| [paywalls](skills/paywalls/) | When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use... |
| [popups](skills/popups/) | When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also... |
| [pricing](skills/pricing/) | When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions... |
| [product-marketing](skills/product-marketing/) | When the user wants to create or update their product marketing context document. Also use when the user mentions... |
| [programmatic-seo](skills/programmatic-seo/) | When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions... |
| [referral-program](skills/referral-program/) | When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy.... |
| [schema-markup](skills/schema-markup/) | When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user... |
| [referrals](skills/referrals/) | When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy.... |
| [revops](skills/revops/) | When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes.... |
| [sales-enablement](skills/sales-enablement/) | When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also... |
| [schema](skills/schema/) | When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user... |
| [seo-audit](skills/seo-audit/) | When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO... |
| [signup-flow-cro](skills/signup-flow-cro/) | When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the... |
| [social-content](skills/social-content/) | When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram,... |
| [signup](skills/signup/) | When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the... |
| [site-architecture](skills/site-architecture/) | When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal... |
| [social](skills/social/) | When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram,... |
| [video](skills/video/) | When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use... |
<!-- SKILLS:END -->
## Installation
@@ -55,13 +108,13 @@ Use [npx skills](https://github.com/vercel-labs/skills) to install skills direct
npx skills add coreyhaines31/marketingskills
# Install specific skills
npx skills add coreyhaines31/marketingskills --skill page-cro copywriting
npx skills add coreyhaines31/marketingskills --skill cro copywriting
# List available skills
npx skills add coreyhaines31/marketingskills --list
```
This automatically installs to your `.claude/skills/` directory.
This automatically installs to your `.agents/skills/` directory (and symlinks into `.claude/skills/` for Claude Code compatibility).
### Option 2: Claude Code Plugin
@@ -81,7 +134,7 @@ Clone the entire repo and copy the skills folder:
```bash
git clone https://github.com/coreyhaines31/marketingskills.git
cp -r marketingskills/skills/* .claude/skills/
cp -r marketingskills/skills/* .agents/skills/
```
### Option 4: Git Submodule
@@ -89,10 +142,10 @@ cp -r marketingskills/skills/* .claude/skills/
Add as a submodule for easy updates:
```bash
git submodule add https://github.com/coreyhaines31/marketingskills.git .claude/marketingskills
git submodule add https://github.com/coreyhaines31/marketingskills.git .agents/marketingskills
```
Then reference skills from `.claude/marketingskills/skills/`.
Then reference skills from `.agents/marketingskills/skills/`.
### Option 5: Fork and Customize
@@ -109,77 +162,143 @@ Use [SkillKit](https://github.com/rohitg00/skillkit) to install skills across mu
npx skillkit install coreyhaines31/marketingskills
# Install specific skills
npx skillkit install coreyhaines31/marketingskills --skill page-cro copywriting
npx skillkit install coreyhaines31/marketingskills --skill cro copywriting
# List available skills
npx skillkit install coreyhaines31/marketingskills --list
```
## Upgrading from v1.x to v2.0
v2.0 renames 17 skills and consolidates `page-cro` + `form-cro` into a single `cro` skill. If you installed the v1.x skills, you'll have **stale old-name folders** in your install directory after upgrading — the new skills install alongside the old ones, so you'll see both `skills/page-cro/` and `skills/cro/`, etc. Clean them up:
```bash
# From the directory where you installed the skills (e.g., .agents/skills/ or .claude/skills/)
rm -rf page-cro form-cro \
ab-test-setup analytics-tracking aso-audit competitor-alternatives \
email-sequence free-tool-strategy launch-strategy onboarding-cro \
paid-ads paywall-upgrade-cro popup-cro pricing-strategy \
product-marketing-context referral-program schema-markup \
signup-flow-cro social-content
```
Then reinstall the v2.0 skills via your usual method (e.g., `npx skills add coreyhaines31/marketingskills`).
### Migrate the product marketing context file
In v2.0 the context file moved from `.claude/` to `.agents/` and was renamed from `product-marketing-context.md` to `product-marketing.md`. Move your existing context file:
```bash
mkdir -p .agents
# v2.0 file (or pre-v2.0 file with new name)
mv .claude/product-marketing.md .agents/product-marketing.md 2>/dev/null
# pre-v2.0 file with legacy name
mv .claude/product-marketing-context.md .agents/product-marketing.md 2>/dev/null
```
Skills will still check `.claude/` and the legacy `product-marketing-context.md` filename as fallbacks, so nothing breaks if you don't migrate.
### Full rename map
| Old | New |
|-----|-----|
| `ab-test-setup` | `ab-testing` |
| `analytics-tracking` | `analytics` |
| `aso-audit` | `aso` |
| `competitor-alternatives` | `competitors` |
| `email-sequence` | `emails` |
| `form-cro` | merged into `cro` |
| `free-tool-strategy` | `free-tools` |
| `launch-strategy` | `launch` |
| `onboarding-cro` | `onboarding` |
| `page-cro` | `cro` |
| `paid-ads` | `ads` |
| `paywall-upgrade-cro` | `paywalls` |
| `popup-cro` | `popups` |
| `pricing-strategy` | `pricing` |
| `product-marketing-context` | `product-marketing` |
| `referral-program` | `referrals` |
| `schema-markup` | `schema` |
| `signup-flow-cro` | `signup` |
| `social-content` | `social` |
## Usage
Once installed, just ask Claude Code to help with marketing tasks:
Once installed, just ask your agent to help with marketing tasks:
```
"Help me optimize this landing page for conversions"
→ Uses page-cro skill
→ Uses cro skill
"Write homepage copy for my SaaS"
→ Uses copywriting skill
"Set up GA4 tracking for signups"
→ Uses analytics-tracking skill
→ Uses analytics skill
"Create a 5-email welcome sequence"
→ Uses email-sequence skill
→ Uses emails skill
```
You can also invoke skills directly:
```
/page-cro
/email-sequence
/cro
/emails
/seo-audit
```
## Skill Categories
### Conversion Optimization
- `page-cro` - Any marketing page
- `signup-flow-cro` - Registration flows
- `onboarding-cro` - Post-signup activation
- `form-cro` - Lead capture forms
- `popup-cro` - Modals and overlays
- `paywall-upgrade-cro` - In-app upgrade moments
- `cro` - Pages and forms
- `signup` - Registration flows
- `onboarding` - Post-signup activation
- `popups` - Modals and overlays
- `paywalls` - In-app upgrade moments
### Content & Copy
- `copywriting` - Marketing page copy
- `copy-editing` - Edit and polish existing copy
- `email-sequence` - Automated email flows
- `social-content` - Social media content
- `cold-email` - B2B cold outreach emails and sequences
- `emails` - Automated email flows
- `social` - Social media content
- `image` - AI image generation, design tools, and optimization
### SEO & Discovery
- `seo-audit` - Technical and on-page SEO
- `ai-seo` - AI search optimization (AEO, GEO, LLMO)
- `programmatic-seo` - Scaled page generation
- `competitor-alternatives` - Comparison and alternative pages
- `schema-markup` - Structured data
- `site-architecture` - Page hierarchy, navigation, URL structure
- `competitors` - Comparison and alternative pages
- `schema` - Structured data
### Paid & Distribution
- `paid-ads` - Google, Meta, LinkedIn ad campaigns
- `social-content` - Social media scheduling and strategy
- `ads` - Google, Meta, LinkedIn ad campaigns
- `ad-creative` - Bulk ad creative generation and iteration
- `social` - Social media scheduling and strategy
### Measurement & Testing
- `analytics-tracking` - Event tracking setup
- `ab-test-setup` - Experiment design
- `analytics` - Event tracking setup
- `ab-testing` - Experiment design
### Retention
- `churn-prevention` - Cancel flows, save offers, dunning, payment recovery
### Growth Engineering
- `free-tool-strategy` - Marketing tools and calculators
- `referral-program` - Referral and affiliate programs
- `co-marketing` - Partner identification and joint campaigns
- `free-tools` - Marketing tools and calculators
- `referrals` - Referral and affiliate programs
### Strategy & Monetization
- `marketing-ideas` - 140 SaaS marketing ideas
- `marketing-psychology` - Mental models and psychology
- `launch-strategy` - Product launches and announcements
- `pricing-strategy` - Pricing, packaging, and monetization
- `launch` - Product launches and announcements
- `pricing` - Pricing, packaging, and monetization
### Sales & RevOps
- `revops` - Lead lifecycle, scoring, routing, pipeline management
- `sales-enablement` - Sales decks, one-pagers, objection docs, demo scripts
## Contributing
+149 -25
View File
@@ -4,34 +4,158 @@ Current versions of all skills. Agents can compare against local versions to che
| Skill | Version | Last Updated |
|-------|---------|--------------|
| ab-test-setup | 1.0.0 | 2026-01-27 |
| analytics-tracking | 1.0.0 | 2026-01-27 |
| competitor-alternatives | 1.0.0 | 2026-01-27 |
| content-strategy | 1.0.0 | 2026-01-27 |
| copy-editing | 1.0.0 | 2026-01-27 |
| copywriting | 1.0.0 | 2026-01-27 |
| email-sequence | 1.0.0 | 2026-01-27 |
| form-cro | 1.0.0 | 2026-01-27 |
| free-tool-strategy | 1.0.0 | 2026-01-27 |
| launch-strategy | 1.0.0 | 2026-01-27 |
| marketing-ideas | 1.0.0 | 2026-01-27 |
| marketing-psychology | 1.0.0 | 2026-01-27 |
| onboarding-cro | 1.0.0 | 2026-01-27 |
| page-cro | 1.0.0 | 2026-01-27 |
| paid-ads | 1.0.0 | 2026-01-27 |
| paywall-upgrade-cro | 1.0.0 | 2026-01-27 |
| popup-cro | 1.0.0 | 2026-01-27 |
| pricing-strategy | 1.0.0 | 2026-01-27 |
| product-marketing-context | 1.0.0 | 2026-01-27 |
| programmatic-seo | 1.0.0 | 2026-01-27 |
| referral-program | 1.0.0 | 2026-01-27 |
| schema-markup | 1.0.0 | 2026-01-27 |
| seo-audit | 1.0.0 | 2026-01-27 |
| signup-flow-cro | 1.0.0 | 2026-01-27 |
| social-content | 1.0.0 | 2026-01-27 |
| ab-testing | 2.0.0 | 2026-05-05 |
| ad-creative | 2.0.0 | 2026-05-05 |
| ai-seo | 2.0.1 | 2026-05-18 |
| analytics | 2.0.0 | 2026-05-05 |
| aso | 2.0.0 | 2026-05-05 |
| churn-prevention | 2.0.0 | 2026-05-05 |
| co-marketing | 2.0.0 | 2026-05-05 |
| cold-email | 2.0.0 | 2026-05-05 |
| community-marketing | 2.0.0 | 2026-05-05 |
| competitor-profiling | 2.0.0 | 2026-05-05 |
| competitors | 2.0.0 | 2026-05-05 |
| content-strategy | 2.0.0 | 2026-05-05 |
| copy-editing | 2.0.0 | 2026-05-05 |
| copywriting | 2.0.0 | 2026-05-05 |
| cro | 2.0.0 | 2026-05-05 |
| customer-research | 2.0.0 | 2026-05-05 |
| directory-submissions | 2.0.0 | 2026-05-05 |
| emails | 2.0.0 | 2026-05-05 |
| free-tools | 2.0.0 | 2026-05-05 |
| image | 2.0.1 | 2026-05-18 |
| launch | 2.0.0 | 2026-05-05 |
| lead-magnets | 2.0.0 | 2026-05-05 |
| marketing-ideas | 2.0.0 | 2026-05-05 |
| marketing-psychology | 2.0.0 | 2026-05-05 |
| onboarding | 2.0.0 | 2026-05-05 |
| ads | 2.0.0 | 2026-05-05 |
| paywalls | 2.0.0 | 2026-05-05 |
| popups | 2.0.0 | 2026-05-05 |
| pricing | 2.0.0 | 2026-05-05 |
| product-marketing | 2.0.0 | 2026-05-05 |
| programmatic-seo | 2.0.0 | 2026-05-05 |
| referrals | 2.0.0 | 2026-05-05 |
| revops | 2.0.0 | 2026-05-05 |
| sales-enablement | 2.0.0 | 2026-05-05 |
| schema | 2.0.0 | 2026-05-05 |
| seo-audit | 2.0.0 | 2026-05-05 |
| signup | 2.0.0 | 2026-05-05 |
| site-architecture | 2.0.0 | 2026-05-05 |
| social | 2.0.0 | 2026-05-05 |
| video | 2.0.1 | 2026-05-18 |
## Recent Changes
### 2.0.1 (2026-05-18)
Content patch — no breaking changes, no new skills.
- **ai-seo** (2.0.0 → 2.0.1): aligned with Google's official AI features optimization guide. Added sections for Google's stance on AI optimization, query fan-out, agentic experiences (including UCP), explicit "what NOT to do" (scaled content abuse, etc.), and Search Console expectations. Reframed llms.txt / pricing.md / schema markup recommendations as "Google says not required, helpful for non-Google AI engines." Moved content-type tactics to `references/content-types.md` (added local/ecom Merchant Center + Business Profile guidance per Google).
- **image** (2.0.0 → 2.0.1): refreshed model lineup to current May 2026 releases — Nano Banana / Nano Banana Pro family naming, Flux Pro 1.1 + Kontext + Dev + Schnell variants, Ideogram 3.0, ChatGPT Images 2.0 / GPT Image, Midjourney v7, Recraft V3, SD 3.5 / SDXL. Updated decision tree and trigger phrases.
- **video** (2.0.0 → 2.0.1): refreshed model lineup — Sora 2 promoted from limited-availability caveat, Kling 2.5/3.0, added Seedance (ByteDance), Hailuo / MiniMax (character consistency), Hunyuan Video / Wan 2 (open-weight self-hosted), Pika 2.x. New "Quick picks" guide.
Total skills: 40 (unchanged).
### 2.0.0 (2026-05-05)
**Breaking changes** — Users must reinstall skills after this update.
#### Skill Renames (17)
| Old Name | New Name |
|----------|----------|
| ab-test-setup | ab-testing |
| analytics-tracking | analytics |
| aso-audit | aso |
| competitor-alternatives | competitors |
| email-sequence | emails |
| free-tool-strategy | free-tools |
| launch-strategy | launch |
| onboarding-cro | onboarding |
| paid-ads | ads |
| paywall-upgrade-cro | paywalls |
| popup-cro | popups |
| pricing-strategy | pricing |
| product-marketing-context | product-marketing |
| referral-program | referrals |
| schema-markup | schema |
| signup-flow-cro | signup |
| social-content | social |
#### Consolidations (1)
- `page-cro` + `form-cro``cro` (form content moved to `references/form.md`)
#### Why 2.0?
- Shorter, cleaner skill names
- Consistent naming conventions (no more `-strategy`, `-setup`, `-cro` suffixes)
- Consolidated CRO into single skill with references
- All cross-references updated across 100+ files
**Total skills: 40**
### 1.10.0 (2026-05-04)
- Added `co-marketing` skill for partner identification, joint campaigns, and co-marketing strategy
- Total skills: 41
### 2026-04-24
- Added `image` skill for AI image generation, design tools, profile/listing banners, and optimization
- Added `video` skill for AI video production (Hyperframes, HeyGen, Veo, Runway, Kling)
- Added short-form video section to `social` (1.3.0) — TikTok, Reels, Shorts frameworks
- Added HeyGen and Hyperframes tool integration guides
- Fixed plugin marketplace: `source` field now passes Claude Code schema validation (#270)
- Added proper `plugin.json` manifest with `"skills": "./skills"`
- Total skills: 40
### 2026-04-21
- Added `directory-submissions` skill for Product Hunt, G2, AI directories, and backlink strategy
- Added `competitor-profiling` skill for competitive intelligence research
- Added international SEO & localization section to `seo-audit` (1.2.0)
- Added conversion tracking reference to `ads` (cross-platform pixel setup)
- Added Zapier SDK integration for 8,000+ app access
- Fixed plugin loading: removed `./` prefix from marketplace.json skill paths (#243)
- Hardened CLI tools: Supermetrics API key moved to header, ZoomInfo JWT masked by default
- Fixed community-marketing YAML frontmatter (#240)
- Fixed Zapier webhook URL validation (#247)
- Added missing skills to VERSIONS.md (aso, community-marketing, customer-research — shipped in prior releases)
- Total skills: 38
### 2026-03-14
- Added `lead-magnets` skill for lead magnet strategy, format selection, and conversion optimization
- Added Composio integration layer for MCP access to OAuth-heavy tools (HubSpot, Salesforce, Meta Ads, LinkedIn Ads, Google Sheets, Slack, Notion, etc.)
- Added headless CMS integration guides (Sanity, Contentful, Strapi) with headless-cms reference
- Added 197 evals across all 33 skills for automated quality testing
- Optimized all 32 skill descriptions for better trigger phrase matching
- Replaced rigid imperatives with reasoning-based guidance across all skills
- Added 10 new CLI tools (airops, clay, close, coupler, crossbeam, outreach, pendo, similarweb, supermetrics, zoominfo)
- Added 13 new integration guides
- Bumped all 32 existing skills from 1.1.0 → 1.2.0
### 2026-02-27
- Migrated context path from `.claude/` to `.agents/` for agent-agnostic compatibility
- All skills now check `.agents/product-marketing.md` first, with `.claude/` fallback for older setups
- Updated install paths in README to reference `.agents/skills/`
- Bumped all 32 skills from 1.0.0 → 1.1.0
### 2026-02-22
- Added `revops` skill for revenue operations, lead lifecycle, scoring, routing, pipeline management, and CRM automation
- Added `sales-enablement` skill for sales decks, one-pagers, objection handling, demo scripts, and sales playbooks
### 2026-02-21
- Added `site-architecture` skill for website structure planning, page hierarchy, navigation design, URL structure, and internal linking strategy
### 2026-02-18
- Added `ai-seo` skill for AI search optimization (AEO, GEO, LLMO, AI Overviews)
- Moved AEO/GEO content patterns from `seo-audit` references to `ai-seo` skill
- Added `churn-prevention` skill for cancel flows, save offers, dunning, and payment recovery
### 2026-02-17
- Added `ad-creative` skill for bulk ad creative generation and performance-based iteration
- Added 51 zero-dependency CLI tools for marketing platforms (`tools/clis/`)
- Added 31 new integration guides (`tools/integrations/`)
- Added 4 email outreach CLIs: hunter, snov, lemlist, instantly
- Security hardening: header auth for meta-ads, URL encoding, input validation
- All CLIs reviewed via independent codex audit (auth, security, error handling, consistency)
### 2026-01-27
- Initial version tracking added
- Added tools registry with 29 integration guides
@@ -1,7 +1,8 @@
---
name: ab-test-setup
version: 1.0.0
description: When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
name: ab-testing
description: When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
metadata:
version: 2.0.0
---
# A/B Test Setup
@@ -11,7 +12,7 @@ You are an expert in experimentation and A/B testing. Your goal is to help desig
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before designing a test, understand:
@@ -179,7 +180,7 @@ We'll know this is true when [metrics].
- Check segment quality
- Document external factors
**DON'T:**
**Avoid:**
- Peek at results and stop early
- Make changes to variants
- Add traffic from new sources
@@ -228,6 +229,93 @@ Document every test with:
---
## Growth Experimentation Program
Individual tests are valuable. A continuous experimentation program is a compounding asset. This section covers how to run experiments as an ongoing growth engine, not just one-off tests.
### The Experiment Loop
```
1. Generate hypotheses (from data, research, competitors, customer feedback)
2. Prioritize with ICE scoring
3. Design and run the test
4. Analyze results with statistical rigor
5. Promote winners to a playbook
6. Generate new hypotheses from learnings
→ Repeat
```
### Hypothesis Generation
Feed your experiment backlog from multiple sources:
| Source | What to Look For |
|--------|-----------------|
| Analytics | Drop-off points, low-converting pages, underperforming segments |
| Customer research | Pain points, confusion, unmet expectations |
| Competitor analysis | Features, messaging, or UX patterns they use that you don't |
| Support tickets | Recurring questions or complaints about conversion flows |
| Heatmaps/recordings | Where users hesitate, rage-click, or abandon |
| Past experiments | "Significant loser" tests often reveal new angles to try |
### ICE Prioritization
Score each hypothesis 1-10 on three dimensions:
| Dimension | Question |
|-----------|----------|
| **Impact** | If this works, how much will it move the primary metric? |
| **Confidence** | How sure are we this will work? (Based on data, not gut.) |
| **Ease** | How fast and cheap can we ship and measure this? |
**ICE Score** = (Impact + Confidence + Ease) / 3
Run highest-scoring experiments first. Re-score monthly as context changes.
### Experiment Velocity
Track your experimentation rate as a leading indicator of growth:
| Metric | Target |
|--------|--------|
| Experiments launched per month | 4-8 for most teams |
| Win rate | 20-30% is common for mature programs (sustained higher rates may indicate conservative hypotheses) |
| Average test duration | 2-4 weeks |
| Backlog depth | 20+ hypotheses queued |
| Cumulative lift | Compound gains from all winners |
### The Experiment Playbook
When a test wins, don't just implement it — document the pattern:
```
## [Experiment Name]
**Date**: [date]
**Hypothesis**: [the hypothesis]
**Sample size**: [n per variant]
**Result**: [winner/loser/inconclusive] — [primary metric] changed by [X%] (95% CI: [range], p=[value])
**Guardrails**: [any guardrail metrics and their outcomes]
**Segment deltas**: [notable differences by device, segment, or cohort]
**Why it worked/failed**: [analysis]
**Pattern**: [the reusable insight — e.g., "social proof near pricing CTAs increases plan selection"]
**Apply to**: [other pages/flows where this pattern might work]
**Status**: [implemented / parked / needs follow-up test]
```
Over time, your playbook becomes a library of proven growth patterns specific to your product and audience.
### Experiment Cadence
**Weekly (30 min)**: Review running experiments for technical issues and guardrail metrics. Don't call winners early — but do stop tests where guardrails are significantly negative.
**Bi-weekly**: Conclude completed experiments. Analyze results, update playbook, launch next experiment from backlog.
**Monthly (1 hour)**: Review experiment velocity, win rate, cumulative lift. Replenish hypothesis backlog. Re-prioritize with ICE.
**Quarterly**: Audit the playbook. Which patterns have been applied broadly? Which winning patterns haven't been scaled yet? What areas of the funnel are under-tested?
---
## Common Mistakes
### Test Design
@@ -260,6 +348,6 @@ Document every test with:
## Related Skills
- **page-cro**: For generating test ideas based on CRO principles
- **analytics-tracking**: For setting up test measurement
- **cro**: For generating test ideas based on CRO principles
- **analytics**: For setting up test measurement
- **copywriting**: For creating variant copy
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@@ -0,0 +1,105 @@
{
"skill_name": "ab-testing",
"evals": [
{
"id": 1,
"prompt": "I want to A/B test our homepage headline. We currently say 'The All-in-One Project Management Tool' and want to test something benefit-focused. We get about 15,000 visitors/month and our current signup rate is 3.2%.",
"expected_output": "Should check for product-marketing.md first. Should build a proper hypothesis using the framework: 'Because [observation], we believe [change] will cause [outcome], which we'll measure by [metric].' Should identify this as an A/B test (two variants). Should calculate or reference sample size needs based on 15,000 monthly visitors and 3.2% baseline. Should define primary metric (signup rate), secondary metrics, and guardrail metrics. Should warn about the peeking problem and recommend a fixed test duration. Should provide the test plan in the structured output format.",
"assertions": [
"Checks for product-marketing.md",
"Uses the hypothesis framework with observation, belief, outcome, and metric",
"Identifies as A/B test type",
"Addresses sample size calculation based on traffic and baseline rate",
"Defines primary metric (signup rate)",
"Defines secondary and guardrail metrics",
"Warns about the peeking problem",
"Provides structured test plan output"
],
"files": []
},
{
"id": 2,
"prompt": "we want to test like 4 different CTA button colors on our pricing page. is that a good idea?",
"expected_output": "Should trigger on casual phrasing. Should identify this as an A/B/n test (multiple variants). Should caution that testing 4 variants requires significantly more traffic than a simple A/B test. Should reference the sample size quick reference showing traffic multipliers for multiple variants. Should question whether button color alone is likely to produce meaningful lift vs testing CTA copy, placement, or surrounding context. Should recommend either reducing to 2 variants or ensuring sufficient traffic. Should still provide hypothesis framework and test setup if proceeding.",
"assertions": [
"Triggers on casual phrasing",
"Identifies as A/B/n test (multiple variants)",
"Cautions about increased traffic needs for 4 variants",
"References sample size requirements",
"Questions whether button color alone is high-impact",
"Suggests alternative higher-impact elements to test",
"Provides hypothesis framework"
],
"files": []
},
{
"id": 3,
"prompt": "Our test has been running for 3 days and Variant B is winning with 95% confidence. Should we call it?",
"expected_output": "Should immediately address the peeking problem. Should explain that checking results early inflates false positive rates. Should recommend running for the full pre-calculated duration regardless of early results. Should explain why early significance can be misleading (regression to the mean, day-of-week effects, audience mix shifts). Should provide guidance on when it IS appropriate to stop early (sequential testing methods). Should recommend the pre-test commitment to duration.",
"assertions": [
"Addresses the peeking problem directly",
"Explains why early significance is misleading",
"Recommends running for full pre-calculated duration",
"Mentions day-of-week effects or audience mix shifts",
"Explains false positive rate inflation from peeking",
"Mentions sequential testing as alternative approach"
],
"files": []
},
{
"id": 4,
"prompt": "Help me set up a multivariate test on our landing page. I want to test the headline, hero image, and CTA button simultaneously.",
"expected_output": "Should identify this as a Multivariate Test (MVT). Should explain that MVT tests combinations of elements and requires much more traffic than A/B tests. Should calculate or reference traffic needs (combinations multiply: e.g., 2 headlines × 2 images × 2 CTAs = 8 combinations). Should recommend MVT only if traffic supports it, otherwise suggest sequential A/B tests. Should build hypotheses for each element being tested. Should define interaction effects to watch for. Should provide structured test plan.",
"assertions": [
"Identifies as multivariate test (MVT)",
"Explains MVT tests combinations of elements",
"Addresses dramatically higher traffic requirements",
"Calculates number of combinations",
"Suggests sequential A/B tests as alternative if traffic insufficient",
"Builds hypotheses for each element",
"Provides structured test plan"
],
"files": []
},
{
"id": 5,
"prompt": "What metrics should I track for an A/B test on our trial signup page? We're testing a longer form (adds company size and role fields) against the current short form.",
"expected_output": "Should apply the metrics selection framework with three tiers: primary, secondary, and guardrail metrics. Primary: form completion rate (the direct conversion metric). Secondary: lead quality metrics (SQL conversion rate, activation rate post-signup). Guardrail: overall signup volume (ensure longer form doesn't tank total signups below acceptable threshold). Should explain the tradeoff between conversion quantity and lead quality. Should note that this test needs longer observation window to measure downstream metrics.",
"assertions": [
"Applies three-tier metric framework (primary, secondary, guardrail)",
"Identifies form completion rate as primary metric",
"Identifies lead quality as secondary metric",
"Defines guardrail metrics to protect against negative outcomes",
"Explains quantity vs quality tradeoff",
"Notes need for longer observation window for downstream metrics"
],
"files": []
},
{
"id": 6,
"prompt": "Can you help me write copy for our new landing page? We want to test it against the current version.",
"expected_output": "Should recognize this is primarily a copywriting task, not a test setup task. Should defer to or cross-reference the copywriting skill for writing the actual copy. May help frame the test hypothesis and setup, but should make clear that copywriting is the right skill for creating the page copy itself.",
"assertions": [
"Recognizes this as primarily a copywriting task",
"References or defers to copywriting skill",
"Does not attempt to write full page copy using test setup patterns",
"May offer to help with test hypothesis and setup"
],
"files": []
},
{
"id": 7,
"prompt": "We ran an A/B test on our pricing page for 4 weeks. Control: 2.1% conversion. Variant: 2.4% conversion. 12,000 visitors per variant. Is this statistically significant? Should we ship it?",
"expected_output": "Should evaluate the results against statistical significance criteria. Should calculate or estimate whether the sample size is sufficient to detect a 0.3 percentage point lift from a 2.1% baseline (this is a ~14% relative lift). Should reference the 95% confidence threshold. Should discuss practical significance vs statistical significance. Should recommend whether to ship, continue testing, or iterate. Should consider segment analysis if results are borderline.",
"assertions": [
"Evaluates against statistical significance criteria",
"Addresses whether sample size is sufficient for this effect size",
"References 95% confidence threshold",
"Distinguishes statistical significance from practical significance",
"Provides clear recommendation on shipping",
"Suggests segment analysis or follow-up if borderline"
],
"files": []
}
]
}
@@ -2,6 +2,17 @@
Reference for calculating sample sizes and test duration.
## Contents
- Sample Size Fundamentals (required inputs, what these mean)
- Sample Size Quick Reference Tables
- Duration Calculator (formula, examples, minimum duration rules, maximum duration guidelines)
- Online Calculators
- Adjusting for Multiple Variants
- Common Sample Size Mistakes
- When Sample Size Requirements Are Too High
- Sequential Testing
- Quick Decision Framework
## Sample Size Fundamentals
### Required Inputs
@@ -2,6 +2,15 @@
Templates for planning, documenting, and analyzing experiments.
## Contents
- Test Plan Template
- Results Documentation Template
- Test Repository Entry Template
- Quick Test Brief Template
- Stakeholder Update Template
- Experiment Prioritization Scorecard
- Hypothesis Bank Template
## Test Plan Template
```markdown
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@@ -0,0 +1,362 @@
---
name: ad-creative
description: "When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting."
metadata:
version: 2.0.0
---
# Ad Creative
You are an expert performance creative strategist. Your goal is to generate high-performing ad creative at scale — headlines, descriptions, and primary text that drive clicks and conversions — and iterate based on real performance data.
## Before Starting
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Platform & Format
- What platform? (Google Ads, Meta, LinkedIn, TikTok, Twitter/X)
- What ad format? (Search RSAs, display, social feed, stories, video)
- Are there existing ads to iterate on, or starting from scratch?
### 2. Product & Offer
- What are you promoting? (Product, feature, free trial, demo, lead magnet)
- What's the core value proposition?
- What makes this different from competitors?
### 3. Audience & Intent
- Who is the target audience?
- What stage of awareness? (Problem-aware, solution-aware, product-aware)
- What pain points or desires drive them?
### 4. Performance Data (if iterating)
- What creative is currently running?
- Which headlines/descriptions are performing best? (CTR, conversion rate, ROAS)
- Which are underperforming?
- What angles or themes have been tested?
### 5. Constraints
- Brand voice guidelines or words to avoid?
- Compliance requirements? (Industry regulations, platform policies)
- Any mandatory elements? (Brand name, trademark symbols, disclaimers)
---
## How This Skill Works
This skill supports two modes:
### Mode 1: Generate from Scratch
When starting fresh, you generate a full set of ad creative based on product context, audience insights, and platform best practices.
### Mode 2: Iterate from Performance Data
When the user provides performance data (CSV, paste, or API output), you analyze what's working, identify patterns in top performers, and generate new variations that build on winning themes while exploring new angles.
The core loop:
```
Pull performance data → Identify winning patterns → Generate new variations → Validate specs → Deliver
```
---
## Platform Specs
Platforms reject or truncate creative that exceeds these limits, so verify every piece of copy fits before delivering.
### Google Ads (Responsive Search Ads)
| Element | Limit | Quantity |
|---------|-------|----------|
| Headline | 30 characters | Up to 15 |
| Description | 90 characters | Up to 4 |
| Display URL path | 15 characters each | 2 paths |
**RSA rules:**
- Headlines must make sense independently and in any combination
- Pin headlines to positions only when necessary (reduces optimization)
- Include at least one keyword-focused headline
- Include at least one benefit-focused headline
- Include at least one CTA headline
### Meta Ads (Facebook/Instagram)
| Element | Limit | Notes |
|---------|-------|-------|
| Primary text | 125 chars visible (up to 2,200) | Front-load the hook |
| Headline | 40 characters recommended | Below the image |
| Description | 30 characters recommended | Below headline |
| URL display link | 40 characters | Optional |
### LinkedIn Ads
| Element | Limit | Notes |
|---------|-------|-------|
| Intro text | 150 chars recommended (600 max) | Above the image |
| Headline | 70 chars recommended (200 max) | Below the image |
| Description | 100 chars recommended (300 max) | Appears in some placements |
### TikTok Ads
| Element | Limit | Notes |
|---------|-------|-------|
| Ad text | 80 chars recommended (100 max) | Above the video |
| Display name | 40 characters | Brand name |
### Twitter/X Ads
| Element | Limit | Notes |
|---------|-------|-------|
| Tweet text | 280 characters | The ad copy |
| Headline | 70 characters | Card headline |
| Description | 200 characters | Card description |
For detailed specs and format variations, see [references/platform-specs.md](references/platform-specs.md).
---
## Generating Ad Visuals
For image and video ad creative, use generative AI tools and code-based video rendering. See [references/generative-tools.md](references/generative-tools.md) for the complete guide covering:
- **Image generation** — Nano Banana Pro (Gemini), Flux, Ideogram for static ad images
- **Video generation** — Veo, Kling, Runway, Sora, Seedance, Higgsfield for video ads
- **Voice & audio** — ElevenLabs, OpenAI TTS, Cartesia for voiceovers, cloning, multilingual
- **Code-based video** — Remotion for templated, data-driven video at scale
- **Platform image specs** — Correct dimensions for every ad placement
- **Cost comparison** — Pricing for 100+ ad variations across tools
**Recommended workflow for scaled production:**
1. Generate hero creative with AI tools (exploratory, high-quality)
2. Build Remotion templates based on winning patterns
3. Batch produce variations with Remotion using data feeds
4. Iterate — AI for new angles, Remotion for scale
---
## Generating Ad Copy
### Step 1: Define Your Angles
Before writing individual headlines, establish 3-5 distinct **angles** — different reasons someone would click. Each angle should tap into a different motivation.
**Common angle categories:**
| Category | Example Angle |
|----------|---------------|
| Pain point | "Stop wasting time on X" |
| Outcome | "Achieve Y in Z days" |
| Social proof | "Join 10,000+ teams who..." |
| Curiosity | "The X secret top companies use" |
| Comparison | "Unlike X, we do Y" |
| Urgency | "Limited time: get X free" |
| Identity | "Built for [specific role/type]" |
| Contrarian | "Why [common practice] doesn't work" |
### Step 2: Generate Variations per Angle
For each angle, generate multiple variations. Vary:
- **Word choice** — synonyms, active vs. passive
- **Specificity** — numbers vs. general claims
- **Tone** — direct vs. question vs. command
- **Structure** — short punch vs. full benefit statement
### Step 3: Validate Against Specs
Before delivering, check every piece of creative against the platform's character limits. Flag anything that's over and provide a trimmed alternative.
### Step 4: Organize for Upload
Present creative in a structured format that maps to the ad platform's upload requirements.
---
## Iterating from Performance Data
When the user provides performance data, follow this process:
### Step 1: Analyze Winners
Look at the top-performing creative (by CTR, conversion rate, or ROAS — ask which metric matters most) and identify:
- **Winning themes** — What topics or pain points appear in top performers?
- **Winning structures** — Questions? Statements? Commands? Numbers?
- **Winning word patterns** — Specific words or phrases that recur?
- **Character utilization** — Are top performers shorter or longer?
### Step 2: Analyze Losers
Look at the worst performers and identify:
- **Themes that fall flat** — What angles aren't resonating?
- **Common patterns in low performers** — Too generic? Too long? Wrong tone?
### Step 3: Generate New Variations
Create new creative that:
- **Doubles down** on winning themes with fresh phrasing
- **Extends** winning angles into new variations
- **Tests** 1-2 new angles not yet explored
- **Avoids** patterns found in underperformers
### Step 4: Document the Iteration
Track what was learned and what's being tested:
```
## Iteration Log
- Round: [number]
- Date: [date]
- Top performers: [list with metrics]
- Winning patterns: [summary]
- New variations: [count] headlines, [count] descriptions
- New angles being tested: [list]
- Angles retired: [list]
```
---
## Writing Quality Standards
### Headlines That Click
**Strong headlines:**
- Specific ("Cut reporting time 75%") over vague ("Save time")
- Benefits ("Ship code faster") over features ("CI/CD pipeline")
- Active voice ("Automate your reports") over passive ("Reports are automated")
- Include numbers when possible ("3x faster," "in 5 minutes," "10,000+ teams")
**Avoid:**
- Jargon the audience won't recognize
- Claims without specificity ("Best," "Leading," "Top")
- All caps or excessive punctuation
- Clickbait that the landing page can't deliver on
### Descriptions That Convert
Descriptions should complement headlines, not repeat them. Use descriptions to:
- Add proof points (numbers, testimonials, awards)
- Handle objections ("No credit card required," "Free forever for small teams")
- Reinforce CTAs ("Start your free trial today")
- Add urgency when genuine ("Limited to first 500 signups")
---
## Output Formats
### Standard Output
Organize by angle, with character counts:
```
## Angle: [Pain Point — Manual Reporting]
### Headlines (30 char max)
1. "Stop Building Reports by Hand" (29)
2. "Automate Your Weekly Reports" (28)
3. "Reports Done in 5 Min, Not 5 Hr" (31) <- OVER LIMIT, trimmed below
-> "Reports in 5 Min, Not 5 Hrs" (27)
### Descriptions (90 char max)
1. "Marketing teams save 10+ hours/week with automated reporting. Start free." (73)
2. "Connect your data sources once. Get automated reports forever. No code required." (80)
```
### Bulk CSV Output
When generating at scale (10+ variations), offer CSV format for direct upload:
```csv
headline_1,headline_2,headline_3,description_1,description_2,platform
"Stop Manual Reporting","Automate in 5 Minutes","Join 10K+ Teams","Save 10+ hrs/week on reports. Start free.","Connect data sources once. Reports forever.","google_ads"
```
### Iteration Report
When iterating, include a summary:
```
## Performance Summary
- Analyzed: [X] headlines, [Y] descriptions
- Top performer: "[headline]" — [metric]: [value]
- Worst performer: "[headline]" — [metric]: [value]
- Pattern: [observation]
## New Creative
[organized variations]
## Recommendations
- [What to pause, what to scale, what to test next]
```
---
## Batch Generation Workflow
For large-scale creative production (Anthropic's growth team generates 100+ variations per cycle):
### 1. Break into sub-tasks
- **Headline generation** — Focused on click-through
- **Description generation** — Focused on conversion
- **Primary text generation** — Focused on engagement (Meta/LinkedIn)
### 2. Generate in waves
- Wave 1: Core angles (3-5 angles, 5 variations each)
- Wave 2: Extended variations on top 2 angles
- Wave 3: Wild card angles (contrarian, emotional, specific)
### 3. Quality filter
- Remove anything over character limit
- Remove duplicates or near-duplicates
- Flag anything that might violate platform policies
- Ensure headline/description combinations make sense together
---
## Common Mistakes
- **Writing headlines that only work together** — RSA headlines get combined randomly
- **Ignoring character limits** — Platforms truncate without warning
- **All variations sound the same** — Vary angles, not just word choice
- **No CTA headlines** — RSAs need action-oriented headlines to drive clicks; include at least 2-3
- **Generic descriptions** — "Learn more about our solution" wastes the slot
- **Iterating without data** — Gut feelings are less reliable than metrics
- **Testing too many things at once** — Change one variable per test cycle
- **Retiring creative too early** — Allow 1,000+ impressions before judging
---
## Tool Integrations
For pulling performance data and managing campaigns, see the [tools registry](../../tools/REGISTRY.md).
| Platform | Pull Performance Data | Manage Campaigns | Guide |
|----------|:---------------------:|:----------------:|-------|
| **Google Ads** | `google-ads campaigns list`, `google-ads reports get` | `google-ads campaigns create` | [google-ads.md](../../tools/integrations/google-ads.md) |
| **Meta Ads** | `meta-ads insights get` | `meta-ads campaigns list` | [meta-ads.md](../../tools/integrations/meta-ads.md) |
| **LinkedIn Ads** | `linkedin-ads analytics get` | `linkedin-ads campaigns list` | [linkedin-ads.md](../../tools/integrations/linkedin-ads.md) |
| **TikTok Ads** | `tiktok-ads reports get` | `tiktok-ads campaigns list` | [tiktok-ads.md](../../tools/integrations/tiktok-ads.md) |
### Workflow: Pull Data, Analyze, Generate
```bash
# 1. Pull recent ad performance
node tools/clis/google-ads.js reports get --type ad_performance --date-range last_30_days
# 2. Analyze output (identify top/bottom performers)
# 3. Feed winning patterns into this skill
# 4. Generate new variations
# 5. Upload to platform
```
---
## Related Skills
- **ads**: For campaign strategy, targeting, budgets, and optimization
- **copywriting**: For landing page copy (where ad traffic lands)
- **ab-testing**: For structuring creative tests with statistical rigor
- **marketing-psychology**: For psychological principles behind high-performing creative
- **copy-editing**: For polishing ad copy before launch
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{
"skill_name": "ad-creative",
"evals": [
{
"id": 1,
"prompt": "Generate ad creative for our Meta (Facebook/Instagram) campaign. We sell an AI writing assistant for content marketers. Main value prop: write blog posts 5x faster. Target audience: content marketing managers at B2B SaaS companies. Budget: $5k/month.",
"expected_output": "Should check for product-marketing.md first. Should generate creative following the angle-based approach: identify 3-5 angles (speed, quality, ROI, pain of blank page, competitive edge). For each angle, should generate primary text (≤125 chars), headline (≤40 chars), and description (≤30 chars) respecting Meta character limits. Should provide multiple variations per angle. Should suggest image/visual direction for each. Should organize output with angle name, hook, body, CTA for each variation. Should recommend which angles to test first.",
"assertions": [
"Checks for product-marketing.md",
"Uses angle-based generation approach",
"Identifies multiple angles (3-5)",
"Respects Meta character limits (125/40/30)",
"Generates multiple variations per angle",
"Suggests image or visual direction",
"Includes hook, body, and CTA for each",
"Recommends which angles to test first"
],
"files": []
},
{
"id": 2,
"prompt": "I need Google Ads copy for our CRM product. We're targeting the keyword 'best CRM for small business'. Need responsive search ads.",
"expected_output": "Should generate Google RSA creative respecting character limits: headlines (≤30 chars each, need 10-15 variations) and descriptions (≤90 chars each, need 4+ variations). Should note that pinning should be used sparingly as it reduces optimization. Should include the target keyword in headlines. Should provide multiple angle-based variations. Should suggest ad extensions (sitelinks, callouts, structured snippets). Should follow Google Ads best practices for RSA.",
"assertions": [
"Respects Google RSA character limits (30 char headlines, 90 char descriptions)",
"Generates 10-15 headline variations",
"Generates 4+ description variations",
"Includes target keyword in headlines",
"Notes pinning should be used sparingly per skill guidance",
"Suggests ad extensions",
"Uses angle-based variation approach"
],
"files": []
},
{
"id": 3,
"prompt": "Here's our ad performance data: Ad A (pain point angle) - CTR 2.1%, CPC $3.20, Conv rate 4.5%. Ad B (social proof angle) - CTR 1.4%, CPC $4.10, Conv rate 6.2%. Ad C (feature angle) - CTR 0.8%, CPC $5.50, Conv rate 2.1%. Help me iterate on these.",
"expected_output": "Should activate the iteration-from-performance mode (not generate-from-scratch). Should analyze the data: Ad A has best CTR, Ad B has best conversion rate (highest efficiency despite lower CTR), Ad C is underperforming on all metrics. Should recommend doubling down on the pain point angle (high CTR) and social proof angle (high conversion), while pausing or reworking the feature angle. Should generate new variations that combine winning elements (pain point hook + social proof). Should suggest specific iterations on Ad A and Ad B.",
"assertions": [
"Activates iteration mode based on performance data",
"Analyzes CTR, CPC, and conversion rate for each ad",
"Identifies winning angles from the data",
"Recommends pausing or reworking underperforming creative",
"Generates new variations combining winning elements",
"Provides specific iterations on top performers"
],
"files": []
},
{
"id": 4,
"prompt": "we need linkedin ads for our enterprise security product. audience is CISOs and IT directors.",
"expected_output": "Should trigger on casual phrasing. Should generate LinkedIn ad creative respecting character limits: introductory text (≤150 chars), headline (≤70 chars), description (≤100 chars). Should adapt tone and messaging for enterprise security audience (CISOs, IT directors) — more formal, compliance-focused, risk-reduction language. Should provide multiple angles relevant to security buyers (risk reduction, compliance, incident response time, cost of breaches). Should suggest ad format recommendations for LinkedIn (sponsored content, message ads, etc.).",
"assertions": [
"Triggers on casual phrasing",
"Respects LinkedIn character limits (150/70/100)",
"Adapts tone for enterprise security audience",
"Uses risk-reduction and compliance language",
"Provides multiple angles relevant to security buyers",
"Suggests LinkedIn ad format recommendations"
],
"files": []
},
{
"id": 5,
"prompt": "I need to generate a big batch of ad variations for a multi-platform campaign launching next week. We're a meal delivery service targeting busy professionals. Need ads for Google, Meta, and TikTok.",
"expected_output": "Should activate the batch generation workflow. Should generate creative for all three platforms respecting each platform's character limits: Google RSA (30/90), Meta (125/40/30), TikTok (80 chars recommended, 100 max). Should identify 3-5 angles that work across platforms (convenience, health, time savings, variety, cost vs eating out). Should generate variations per angle per platform. Should note platform-specific creative considerations (TikTok needs video concepts, not just text). Should organize output clearly by platform.",
"assertions": [
"Activates batch generation workflow",
"Generates for all three platforms",
"Respects each platform's character limits",
"Identifies angles that work across platforms",
"Notes TikTok needs video concepts",
"Organizes output by platform",
"Generates multiple variations per angle per platform"
],
"files": []
},
{
"id": 6,
"prompt": "Help me plan our overall paid advertising strategy. We have a $20k monthly budget and want to figure out which platforms to use and how to allocate spend.",
"expected_output": "Should recognize this is a paid advertising strategy task, not ad creative generation. Should defer to or cross-reference the ads skill, which handles campaign strategy, platform selection, and budget allocation. May briefly mention creative considerations but should make clear that ads is the right skill for strategy.",
"assertions": [
"Recognizes this as paid ads strategy, not creative generation",
"References or defers to ads skill",
"Does not attempt full campaign strategy using creative generation patterns"
],
"files": []
}
]
}
@@ -0,0 +1,637 @@
# Generative AI Tools for Ad Creative
Reference for using AI image generators, video generators, and code-based video tools to produce ad visuals at scale.
---
## When to Use Generative Tools
| Need | Tool Category | Best Fit |
|------|---------------|----------|
| Static ad images (banners, social) | Image generation | ChatGPT Images 2.0, Nano Banana Pro, Flux, Ideogram |
| Ad images with text overlays | Image generation (text-capable) | Ideogram, Nano Banana Pro |
| Short video ads (6-30 sec) | Video generation | Veo, Kling, Runway, Sora, Seedance |
| Video ads with voiceover | Video gen + voice | Veo/Sora (native), or Runway + ElevenLabs |
| Voiceover tracks for ads | Voice generation | ElevenLabs, OpenAI TTS, Cartesia |
| Multi-language ad versions | Voice generation | ElevenLabs, PlayHT |
| Brand voice cloning | Voice generation | ElevenLabs, Resemble AI |
| Product mockups and variations | Image generation + references | Flux (multi-image reference) |
| Templated video ads at scale | Code-based video | Remotion |
| Personalized video (name, data) | Code-based video | Remotion |
| Brand-consistent variations | Image gen + style refs | Flux, Ideogram, Nano Banana Pro |
---
## Image Generation
### Nano Banana Pro (Gemini)
Google DeepMind's image generation model, available through the Gemini API.
**Best for:** High-quality ad images, product visuals, text rendering
**API:** Gemini API (Google AI Studio, Vertex AI)
**Pricing:** ~$0.04/image (Gemini 2.5 Flash Image), ~$0.24/4K image (Nano Banana Pro)
**Strengths:**
- Strong text rendering in images (logos, headlines)
- Native image editing (modify existing images with prompts)
- Available through the same Gemini API used for text generation
- Supports both generation and editing in one model
**Ad creative use cases:**
- Generate social media ad images from text descriptions
- Create product mockup variations
- Edit existing ad images (swap backgrounds, change colors)
- Generate images with headline text baked in
**API example:**
```bash
# Using the Gemini API for image generation
curl -X POST "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image:generateContent" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-d '{
"contents": [{"parts": [{"text": "Create a clean, modern social media ad image for a project management tool. Show a laptop with a kanban board interface. Bright, professional, 16:9 ratio."}]}],
"generationConfig": {"responseModalities": ["TEXT", "IMAGE"]}
}'
```
**Docs:** [Gemini Image Generation](https://ai.google.dev/gemini-api/docs/image-generation)
---
### Flux (Black Forest Labs)
Open-weight image generation models with API access through Replicate and BFL's native API.
**Best for:** Photorealistic images, brand-consistent variations, multi-reference generation
**API:** Replicate, BFL API, fal.ai
**Pricing:** ~$0.01-0.06/image depending on model and resolution
**Model variants:**
| Model | Speed | Quality | Cost | Best For |
|-------|-------|---------|------|----------|
| Flux 2 Pro | ~6 sec | Highest | $0.015/MP | Final production assets |
| Flux 2 Flex | ~22 sec | High + editing | $0.06/MP | Iterative editing |
| Flux 2 Dev | ~2.5 sec | Good | $0.012/MP | Rapid prototyping |
| Flux 2 Klein | Fastest | Good | Lowest | High-volume batch generation |
**Strengths:**
- Multi-image reference (up to 8 images) for consistent identity across ads
- Product consistency — same product in different contexts
- Style transfer from reference images
- Open-weight Dev model for self-hosting
**Ad creative use cases:**
- Generate 50+ ad variations with consistent product/person identity
- Create product-in-context images (your SaaS on different devices)
- Style-match to existing brand assets using reference images
- Rapid A/B test image variations
**Docs:** [Replicate Flux](https://replicate.com/black-forest-labs/flux-2-pro), [BFL API](https://docs.bfl.ml/)
---
### Ideogram
Specialized in typography and text rendering within images.
**Best for:** Ad banners with text, branded graphics, social ad images with headlines
**API:** Ideogram API, Runware
**Pricing:** ~$0.06/image (API), ~$0.009/image (subscription)
**Strengths:**
- Best-in-class text rendering (~90% accuracy vs ~30% for most tools)
- Style reference system (upload up to 3 reference images)
- 4.3 billion style presets for consistent brand aesthetics
- Strong at logos and branded typography
**Ad creative use cases:**
- Generate ad banners with headline text directly in the image
- Create social media graphics with branded text overlays
- Produce multiple design variations with consistent typography
- Generate promotional materials without needing a designer for each iteration
**Docs:** [Ideogram API](https://developer.ideogram.ai/), [Ideogram](https://ideogram.ai/)
---
### Other Image Tools
| Tool | Best For | API Status | Notes |
|------|----------|------------|-------|
| **DALL-E 3** (OpenAI) | General image generation | Official API | Integrated with ChatGPT, good text rendering |
| **Midjourney** | Artistic, high-aesthetic images | No official public API | Discord-based; unofficial APIs exist but risk bans |
| **Stable Diffusion** | Self-hosted, customizable | Open source | Best for teams with GPU infrastructure |
---
## Video Generation
### Google Veo
Google DeepMind's video generation model, available through the Gemini API and Vertex AI.
**Best for:** High-quality video ads with native audio, vertical video for social
**API:** Gemini API, Vertex AI
**Pricing:** ~$0.15/sec (Veo 3.1 Fast), ~$0.40/sec (Veo 3.1 Standard)
**Capabilities:**
- Up to 60 seconds at 1080p
- Native audio generation (dialogue, sound effects, ambient)
- Vertical 9:16 output for Stories/Reels/Shorts
- Upscale to 4K
- Text-to-video and image-to-video
**Ad creative use cases:**
- Generate short video ads (15-30 sec) from text descriptions
- Create vertical video ads for TikTok, Reels, Shorts
- Produce product demos with voiceover
- Generate multiple video variations from the same prompt with different styles
**Docs:** [Veo on Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/video/overview)
---
### Kling (Kuaishou)
Video generation with simultaneous audio-visual generation and camera controls.
**Best for:** Cinematic video ads, longer-form content, audio-synced video
**API:** Kling API, PiAPI, fal.ai
**Pricing:** ~$0.09/sec (via fal.ai third-party)
**Capabilities:**
- Up to 3 minutes at 1080p/30-48fps
- Simultaneous audio-visual generation (Kling 2.6)
- Text-to-video and image-to-video
- Motion and camera controls
**Ad creative use cases:**
- Longer product explainer videos
- Cinematic brand videos with synchronized audio
- Animate product images into video ads
**Docs:** [Kling AI Developer](https://klingai.com/global/dev/model/video)
---
### Runway
Video generation and editing platform with strong controllability.
**Best for:** Controlled video generation, style-consistent content, editing existing footage
**API:** Runway Developer Portal
**Capabilities:**
- Gen-4: Character/scene consistency across shots
- Motion brush and camera controls
- Image-to-video with reference images
- Video-to-video style transfer
**Ad creative use cases:**
- Generate video ads with consistent characters/products across scenes
- Style-transfer existing footage to match brand aesthetics
- Extend or remix existing video content
**Docs:** [Runway API](https://docs.dev.runwayml.com/)
---
### Sora 2 (OpenAI)
OpenAI's video generation model with synchronized audio.
**Best for:** High-fidelity video with dialogue and sound
**API:** OpenAI API
**Pricing:** Free tier available; Pro from $0.10-0.50/sec depending on resolution
**Capabilities:**
- Up to 60 seconds with synchronized audio
- Dialogue, sound effects, and ambient audio
- sora-2 (fast) and sora-2-pro (quality) variants
- Text-to-video and image-to-video
**Ad creative use cases:**
- Video testimonials and talking-head style ads
- Product demo videos with narration
- Narrative brand videos
**Docs:** [OpenAI Video Generation](https://platform.openai.com/docs/guides/video-generation)
---
### Seedance 2.0 (ByteDance)
ByteDance's video generation model with simultaneous audio-visual generation and multimodal inputs.
**Best for:** Fast, affordable video ads with native audio, multimodal reference inputs
**API:** BytePlus (official), Replicate, WaveSpeedAI, fal.ai (third-party); OpenAI-compatible API format
**Pricing:** ~$0.10-0.80/min depending on resolution (estimated 10-100x cheaper than Sora 2 per clip)
**Capabilities:**
- Up to 20 seconds at up to 2K resolution
- Simultaneous audio-visual generation (Dual-Branch Diffusion Transformer)
- Text-to-video and image-to-video
- Up to 12 reference files for multimodal input
- OpenAI-compatible API structure
**Ad creative use cases:**
- High-volume short video ad production at low cost
- Video ads with synchronized voiceover and sound effects in one pass
- Multi-reference generation (feed product images, brand assets, style references)
- Rapid iteration on video ad concepts
**Docs:** [Seedance](https://seed.bytedance.com/en/seedance2_0)
---
### Higgsfield
Full-stack video creation platform with cinematic camera controls.
**Best for:** Social video ads, cinematic style, mobile-first content
**Platform:** [higgsfield.ai](https://higgsfield.ai/)
**Capabilities:**
- 50+ professional camera movements (zooms, pans, FPV drone shots)
- Image-to-video animation
- Built-in editing, transitions, and keyframing
- All-in-one workflow: image gen, animation, editing
**Ad creative use cases:**
- Social media video ads with cinematic feel
- Animate product images into dynamic video
- Create multiple video variations with different camera styles
- Quick-turn video content for social campaigns
---
### Video Tool Comparison
| Tool | Max Length | Audio | Resolution | API | Best For |
|------|-----------|-------|------------|-----|----------|
| **Veo 3.1** | 60 sec | Native | 1080p/4K | Gemini | Vertical social video |
| **Kling 2.6** | 3 min | Native | 1080p | Third-party | Longer cinematic |
| **Runway Gen-4** | 10 sec | No | 1080p | Official | Controlled, consistent |
| **Sora 2** | 60 sec | Native | 1080p | Official | Dialogue-heavy |
| **Seedance 2.0** | 20 sec | Native | 2K | Official + third-party | Affordable high-volume |
| **Higgsfield** | Varies | Yes | 1080p | Web-based | Social, mobile-first |
---
## Voice & Audio Generation
For layering realistic voiceovers onto video ads, adding narration to product demos, or generating audio for Remotion-rendered videos. These tools turn ad scripts into natural-sounding voice tracks.
### When to Use Voice Tools
Many video generators (Veo, Kling, Sora, Seedance) now include native audio. Use standalone voice tools when you need:
- **Voiceover on silent video** — Runway Gen-4 and Remotion produce silent output
- **Brand voice consistency** — Clone a specific voice for all ads
- **Multi-language versions** — Same ad script in 20+ languages
- **Script iteration** — Re-record voiceover without reshooting video
- **Precise control** — Exact timing, emotion, and pacing
---
### ElevenLabs
The market leader in realistic voice generation and voice cloning.
**Best for:** Most natural-sounding voiceovers, brand voice cloning, multilingual
**API:** REST API with streaming support
**Pricing:** ~$0.12-0.30 per 1,000 characters depending on plan; starts at $5/month
**Capabilities:**
- 29+ languages with natural accent and intonation
- Voice cloning from short audio clips (instant) or longer recordings (professional)
- Emotion and style control
- Streaming for real-time generation
- Voice library with hundreds of pre-built voices
**Ad creative use cases:**
- Generate voiceover tracks for video ads
- Clone your brand spokesperson's voice for all ad variations
- Produce the same ad in 10+ languages from one script
- A/B test different voice styles (authoritative vs. friendly vs. urgent)
**API example:**
```bash
curl -X POST "https://api.elevenlabs.io/v1/text-to-speech/{voice_id}" \
-H "xi-api-key: $ELEVENLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "Stop wasting hours on manual reporting. Try DataFlow free for 14 days.",
"model_id": "eleven_multilingual_v2",
"voice_settings": {"stability": 0.5, "similarity_boost": 0.75}
}' --output voiceover.mp3
```
**Docs:** [ElevenLabs API](https://elevenlabs.io/docs/api-reference/text-to-speech)
---
### OpenAI TTS
Simple, affordable text-to-speech built into the OpenAI API.
**Best for:** Quick voiceovers, cost-effective at scale, simple integration
**API:** OpenAI API (same SDK as GPT/DALL-E)
**Pricing:** $15/million chars (standard), $30/million chars (HD); ~$0.015/min with gpt-4o-mini-tts
**Capabilities:**
- 13 built-in voices (no custom cloning)
- Multiple languages
- Real-time streaming
- HD quality option
- Simple API — same SDK you already use for GPT
**Ad creative use cases:**
- Fast, cheap voiceover for draft/test ad versions
- High-volume narration at low cost
- Prototype ad audio before investing in premium voice
**Docs:** [OpenAI TTS](https://platform.openai.com/docs/guides/text-to-speech)
---
### Cartesia Sonic
Ultra-low latency voice generation built for real-time applications.
**Best for:** Real-time voice, lowest latency, emotional expressiveness
**API:** REST + WebSocket streaming
**Pricing:** Starts at $5/month; pay-as-you-go from $0.03/min
**Capabilities:**
- 40ms time-to-first-audio (fastest in class)
- 15+ languages
- Nonverbal expressiveness: laughter, breathing, emotional inflections
- Sonic Turbo for even lower latency
- Streaming API for real-time generation
**Ad creative use cases:**
- Real-time ad preview during creative iteration
- Interactive demo videos with dynamic narration
- Ads requiring natural laughter, sighs, or emotional reactions
**Docs:** [Cartesia Sonic](https://docs.cartesia.ai/build-with-cartesia/tts-models/latest)
---
### Voicebox (Open Source)
Free, local-first voice synthesis studio powered by Qwen3-TTS. The open-source alternative to ElevenLabs.
**Best for:** Free voice cloning, local/private generation, zero-cost batch production
**API:** Local REST API at `http://localhost:8000`
**Pricing:** Free (MIT license). Runs entirely on your machine.
**Stack:** Tauri (Rust) + React + FastAPI (Python)
**Capabilities:**
- Voice cloning from short audio samples via Qwen3-TTS
- Multi-language support (English, Chinese, more planned)
- Multi-track timeline editor for composing conversations
- 4-5x faster inference on Apple Silicon via MLX Metal acceleration
- Local REST API for programmatic generation
- No cloud dependency — all processing on-device
**Ad creative use cases:**
- Free voice cloning for brand spokesperson across all ad variations
- Batch generate voiceovers without per-character costs
- Private/local generation when ad content is sensitive or pre-launch
- Prototype voice variations before committing to a paid service
**API example:**
```bash
curl -X POST http://localhost:8000/generate \
-H "Content-Type: application/json" \
-d '{"text": "Stop wasting hours on manual reporting.", "profile_id": "abc123", "language": "en"}'
```
**Install:** Desktop apps for macOS and Windows at [voicebox.sh](https://voicebox.sh), or build from source:
```bash
git clone https://github.com/jamiepine/voicebox.git
cd voicebox && make setup && make dev
```
**Docs:** [GitHub](https://github.com/jamiepine/voicebox)
---
### Other Voice Tools
| Tool | Best For | Differentiator | API |
|------|----------|---------------|-----|
| **PlayHT** | Large voice library, low latency | 900+ voices, <300ms latency, ultra-realistic | [play.ht](https://play.ht/) |
| **Resemble AI** | Enterprise voice cloning | On-premise deployment, real-time speech-to-speech | [resemble.ai](https://www.resemble.ai/) |
| **WellSaid Labs** | Ethical, commercial-safe voices | Voices from compensated actors, safe for commercial use | [wellsaid.io](https://www.wellsaid.io/) |
| **Fish Audio** | Budget-friendly, emotion control | ~50-70% cheaper than ElevenLabs, emotion tags | [fish.audio](https://fish.audio/) |
| **Murf AI** | Non-technical teams | Browser-based studio, 200+ voices | [murf.ai](https://murf.ai/) |
| **Google Cloud TTS** | Google ecosystem, scale | 220+ voices, 40+ languages, enterprise SLAs | [Google TTS](https://cloud.google.com/text-to-speech) |
| **Amazon Polly** | AWS ecosystem, cost | Neural voices, SSML control, cheap at volume | [Amazon Polly](https://aws.amazon.com/polly/) |
---
### Voice Tool Comparison
| Tool | Quality | Cloning | Languages | Latency | Price/1K chars |
|------|---------|---------|-----------|---------|----------------|
| **ElevenLabs** | Best | Yes (instant + pro) | 29+ | ~200ms | $0.12-0.30 |
| **OpenAI TTS** | Good | No | 13+ | ~300ms | $0.015-0.030 |
| **Cartesia Sonic** | Very good | No | 15+ | ~40ms | ~$0.03/min |
| **PlayHT** | Very good | Yes | 140+ | <300ms | ~$0.10-0.20 |
| **Fish Audio** | Good | Yes | 13+ | ~200ms | ~$0.05-0.10 |
| **WellSaid** | Very good | No (actor voices) | English | ~300ms | Custom pricing |
| **Voicebox** | Good | Yes (local) | 2+ | Local | Free (open source) |
### Choosing a Voice Tool
```
Need voiceover for ads?
├── Need to clone a specific brand voice?
│ ├── Best quality → ElevenLabs
│ ├── Enterprise/on-premise → Resemble AI
│ └── Budget-friendly → Fish Audio, PlayHT
├── Need multilingual (same ad, many languages)?
│ ├── Most languages → PlayHT (140+)
│ └── Best quality → ElevenLabs (29+)
├── Need free / open source / local?
│ └── Voicebox (MIT, runs on your machine)
├── Need cheap, fast, good-enough?
│ └── OpenAI TTS ($0.015/min)
├── Need commercially-safe licensing?
│ └── WellSaid Labs (actor-compensated voices)
└── Need real-time/interactive?
└── Cartesia Sonic (40ms TTFA)
```
### Workflow: Voice + Video
```
1. Write ad script (use ad-creative skill for copy)
2. Generate voiceover with ElevenLabs/OpenAI TTS
3. Generate or render video:
a. Silent video from Runway/Remotion → layer voice track
b. Or use Veo/Sora/Seedance with native audio (skip separate VO)
4. Combine with ffmpeg if layering separately:
ffmpeg -i video.mp4 -i voiceover.mp3 -c:v copy -c:a aac output.mp4
5. Generate variations (different scripts, voices, or languages)
```
---
## Code-Based Video: Remotion
For templated, data-driven video ads at scale, Remotion is the best option. Unlike AI video generators that produce unique video from prompts, Remotion uses React code to render deterministic, brand-perfect video from templates and data.
**Best for:** Templated ad variations, personalized video, brand-consistent production
**Stack:** React + TypeScript
**Pricing:** Free for individuals/small teams; commercial license required for 4+ employees
**Docs:** [remotion.dev](https://www.remotion.dev/)
### Why Remotion for Ads
| AI Video Generators | Remotion |
|---------------------|----------|
| Unique output each time | Deterministic, pixel-perfect |
| Prompt-based, less control | Full code control over every frame |
| Hard to match brand exactly | Exact brand colors, fonts, spacing |
| One-at-a-time generation | Batch render hundreds from data |
| No dynamic data insertion | Personalize with names, prices, stats |
### Ad Creative Use Cases
**1. Dynamic product ads**
Feed a JSON array of products and render a unique video ad for each:
```tsx
// Simplified Remotion component for product ads
export const ProductAd: React.FC<{
productName: string;
price: string;
imageUrl: string;
tagline: string;
}> = ({productName, price, imageUrl, tagline}) => {
return (
<AbsoluteFill style={{backgroundColor: '#fff'}}>
<Img src={imageUrl} style={{width: 400, height: 400}} />
<h1>{productName}</h1>
<p>{tagline}</p>
<div className="price">{price}</div>
<div className="cta">Shop Now</div>
</AbsoluteFill>
);
};
```
**2. A/B test video variations**
Render the same template with different headlines, CTAs, or color schemes:
```tsx
const variations = [
{headline: "Save 50% Today", cta: "Get the Deal", theme: "urgent"},
{headline: "Join 10K+ Teams", cta: "Start Free", theme: "social-proof"},
{headline: "Built for Speed", cta: "Try It Now", theme: "benefit"},
];
// Render all variations programmatically
```
**3. Personalized outreach videos**
Generate videos addressing prospects by name for cold outreach or sales.
**4. Social ad batch production**
Render the same content across different aspect ratios:
- 1:1 for feed
- 9:16 for Stories/Reels
- 16:9 for YouTube
### Remotion Workflow for Ad Creative
```
1. Design template in React (or use AI to generate the component)
2. Define data schema (products, headlines, CTAs, images)
3. Feed data array into template
4. Batch render all variations
5. Upload to ad platform
```
### Getting Started
```bash
# Create a new Remotion project
npx create-video@latest
# Render a single video
npx remotion render src/index.ts MyComposition out/video.mp4
# Batch render from data
npx remotion render src/index.ts MyComposition --props='{"data": [...]}'
```
---
## Choosing the Right Tool
### Decision Tree
```
Need video ads?
├── Templated, data-driven (same structure, different data)
│ └── Use Remotion
├── Unique creative from prompts (exploratory)
│ ├── Need dialogue/voiceover? → Sora 2, Veo 3.1, Kling 2.6, Seedance 2.0
│ ├── Need consistency across scenes? → Runway Gen-4
│ ├── Need vertical social video? → Veo 3.1 (native 9:16)
│ ├── Need high volume at low cost? → Seedance 2.0
│ └── Need cinematic camera work? → Higgsfield, Kling
└── Both → Use AI gen for hero creative, Remotion for variations
Need image ads?
├── Need text/headlines in image? → Ideogram
├── Need product consistency across variations? → Flux (multi-ref)
├── Need quick iterations on existing images? → Nano Banana Pro
├── Need highest visual quality? → Flux Pro, Midjourney
└── Need high volume at low cost? → Flux Klein, Nano Banana
```
### Cost Comparison for 100 Ad Variations
| Approach | Tool | Approximate Cost |
|----------|------|-----------------|
| 100 static images | Nano Banana Pro | ~$4-24 |
| 100 static images | Flux Dev | ~$1-2 |
| 100 static images | Ideogram API | ~$6 |
| 100 × 15-sec videos | Veo 3.1 Fast | ~$225 |
| 100 × 15-sec videos | Remotion (templated) | ~$0 (self-hosted render) |
| 10 hero videos + 90 templated | Veo + Remotion | ~$22 + render time |
### Recommended Workflow for Scaled Ad Production
1. **Generate hero creative** with AI (Nano Banana, Flux, Veo) — high-quality, exploratory
2. **Build templates** in Remotion based on winning creative patterns
3. **Batch produce variations** with Remotion using data (products, headlines, CTAs)
4. **Iterate** — use AI tools for new angles, Remotion for scale
This hybrid approach gives you the creative exploration of AI generators and the consistency and scale of code-based rendering.
---
## Platform-Specific Image Specs
When generating images for ads, request the correct dimensions:
| Platform | Placement | Aspect Ratio | Recommended Size |
|----------|-----------|-------------|-----------------|
| Meta Feed | Single image | 1:1 | 1080x1080 |
| Meta Stories/Reels | Vertical | 9:16 | 1080x1920 |
| Meta Carousel | Square | 1:1 | 1080x1080 |
| Google Display | Landscape | 1.91:1 | 1200x628 |
| Google Display | Square | 1:1 | 1200x1200 |
| LinkedIn Feed | Landscape | 1.91:1 | 1200x627 |
| LinkedIn Feed | Square | 1:1 | 1200x1200 |
| TikTok Feed | Vertical | 9:16 | 1080x1920 |
| Twitter/X Feed | Landscape | 16:9 | 1200x675 |
| Twitter/X Card | Landscape | 1.91:1 | 800x418 |
Include these dimensions in your generation prompts to avoid needing to crop or resize.
@@ -0,0 +1,213 @@
# Platform Specs Reference
Complete character limits, format requirements, and best practices for each ad platform.
---
## Google Ads
### Responsive Search Ads (RSAs)
| Element | Character Limit | Required | Notes |
|---------|----------------|----------|-------|
| Headline | 30 chars | 3 minimum, 15 max | Any 3 may be shown together |
| Description | 90 chars | 2 minimum, 4 max | Any 2 may be shown together |
| Display path 1 | 15 chars | Optional | Appears after domain in URL |
| Display path 2 | 15 chars | Optional | Appears after path 1 |
| Final URL | No limit | Required | Landing page URL |
**Combination rules:**
- Google selects up to 3 headlines and 2 descriptions to show
- Headlines appear separated by " | " or stacked
- Any headline can appear in any position unless pinned
- Pinning reduces Google's ability to optimize — use sparingly
**Pinning strategy:**
- Pin your brand name to position 1 if brand guidelines require it
- Pin your strongest CTA to position 2 or 3
- Leave most headlines unpinned for machine learning
**Headline mix recommendation (15 headlines):**
- 3-4 keyword-focused (match search intent)
- 3-4 benefit-focused (what they get)
- 2-3 social proof (numbers, awards, customers)
- 2-3 CTA-focused (action to take)
- 1-2 differentiators (why you over competitors)
- 1 brand name headline
**Description mix recommendation (4 descriptions):**
- 1 benefit + proof point
- 1 feature + outcome
- 1 social proof + CTA
- 1 urgency/offer + CTA (if applicable)
### Performance Max
| Element | Character Limit | Notes |
|---------|----------------|-------|
| Headline | 30 chars (5 required) | Short headlines for various placements |
| Long headline | 90 chars (5 required) | Used in display, video, discover |
| Description | 90 chars (1 required, 5 max) | Accompany various ad formats |
| Business name | 25 chars | Required |
### Display Ads
| Element | Character Limit |
|---------|----------------|
| Headline | 30 chars |
| Long headline | 90 chars |
| Description | 90 chars |
| Business name | 25 chars |
---
## Meta Ads (Facebook & Instagram)
### Single Image / Video / Carousel
| Element | Recommended | Maximum | Notes |
|---------|-------------|---------|-------|
| Primary text | 125 chars | 2,200 chars | Text above image; truncated after ~125 |
| Headline | 40 chars | 255 chars | Below image; truncated after ~40 |
| Description | 30 chars | 255 chars | Below headline; may not show |
| URL display link | 40 chars | N/A | Optional custom display URL |
**Placement-specific notes:**
- **Feed**: All elements show; primary text most visible
- **Stories/Reels**: Primary text overlaid; keep under 72 chars
- **Right column**: Only headline visible; skip description
- **Audience Network**: Varies by publisher
**Best practices:**
- Front-load the hook in primary text (first 125 chars)
- Use line breaks for readability in longer primary text
- Emojis: test, but don't overuse — 1-2 per ad max
- Questions in primary text increase engagement
- Headline should be a clear CTA or value statement
### Lead Ads (Instant Form)
| Element | Limit |
|---------|-------|
| Greeting headline | 60 chars |
| Greeting description | 360 chars |
| Privacy policy text | 200 chars |
---
## LinkedIn Ads
### Single Image Ad
| Element | Recommended | Maximum | Notes |
|---------|-------------|---------|-------|
| Intro text | 150 chars | 600 chars | Above the image; truncated after ~150 |
| Headline | 70 chars | 200 chars | Below the image |
| Description | 100 chars | 300 chars | Only shows on Audience Network |
### Carousel Ad
| Element | Limit |
|---------|-------|
| Intro text | 255 chars |
| Card headline | 45 chars |
| Card count | 2-10 cards |
### Message Ad (InMail)
| Element | Limit |
|---------|-------|
| Subject line | 60 chars |
| Message body | 1,500 chars |
| CTA button | 20 chars |
### Text Ad
| Element | Limit |
|---------|-------|
| Headline | 25 chars |
| Description | 75 chars |
**LinkedIn-specific guidelines:**
- Professional tone, but not boring
- Use job-specific language the audience recognizes
- Statistics and data points perform well
- Avoid consumer-style hype ("Amazing!" "Incredible!")
- First-person testimonials from peers resonate
---
## TikTok Ads
### In-Feed Ads
| Element | Recommended | Maximum | Notes |
|---------|-------------|---------|-------|
| Ad text | 80 chars | 100 chars | Above the video |
| Display name | N/A | 40 chars | Brand name |
| CTA button | Platform options | Predefined | Select from TikTok's options |
### Spark Ads (Boosted Organic)
| Element | Notes |
|---------|-------|
| Caption | Uses original post caption |
| CTA button | Added by advertiser |
| Display name | Original creator's handle |
**TikTok-specific guidelines:**
- Native content outperforms polished ads
- First 2 seconds determine if they watch
- Use trending sounds and formats
- Text overlay is essential (most watch with sound off)
- Vertical video only (9:16)
---
## Twitter/X Ads
### Promoted Tweets
| Element | Limit | Notes |
|---------|-------|-------|
| Tweet text | 280 chars | Full tweet with image/video |
| Card headline | 70 chars | Website card |
| Card description | 200 chars | Website card |
### Website Cards
| Element | Limit |
|---------|-------|
| Headline | 70 chars |
| Description | 200 chars |
**Twitter/X-specific guidelines:**
- Conversational, casual tone
- Short sentences work best
- One clear message per tweet
- Hashtags: 1-2 max (0 is often better for ads)
- Threads can work for consideration-stage content
---
## Character Counting Tips
- **Spaces count** as characters on all platforms
- **Emojis** count as 1-2 characters depending on platform
- **Special characters** (|, &, etc.) count as 1 character
- **URLs** in body text count against limits
- **Dynamic keyword insertion** (`{KeyWord:default}`) can exceed limits — set safe defaults
- Always verify in the platform's ad preview before launching
---
## Multi-Platform Creative Adaptation
When creating for multiple platforms simultaneously, start with the most restrictive format:
1. **Google Search headlines** (30 chars) — forces the tightest messaging
2. **Expand to Meta headlines** (40 chars) — add a word or two
3. **Expand to LinkedIn intro text** (150 chars) — add context and proof
4. **Expand to Meta primary text** (125+ chars) — full hook and value prop
This cascading approach ensures your core message works everywhere, then gets enriched for platforms that allow more space.
@@ -1,7 +1,8 @@
---
name: paid-ads
version: 1.0.0
description: "When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ad copy,' 'ad creative,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' or 'audience targeting.' This skill covers campaign strategy, ad creation, audience targeting, and optimization."
name: ads
description: "When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' or 'should I run ads.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see cro."
metadata:
version: 2.0.0
---
# Paid Ads
@@ -11,7 +12,7 @@ You are an expert performance marketer with direct access to ad platform account
## Before Starting
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
@@ -121,7 +122,7 @@ LI_LeadGen_CMOs-SaaS_Whitepaper_Mar24
- **Lookalikes**: Base on best customers (by LTV), not all customers
- **Retargeting**: Segment by funnel stage (visitors vs. cart abandoners)
- **Exclusions**: Always exclude existing customers and recent converters
- **Exclusions**: Exclude existing customers and recent converters — showing ads to people who already bought wastes spend
**For detailed targeting strategies by platform**: See [references/audience-targeting.md](references/audience-targeting.md)
@@ -244,6 +245,8 @@ Before launching campaigns, ensure proper tracking and account setup.
**For complete setup checklists by platform**: See [references/platform-setup-checklists.md](references/platform-setup-checklists.md)
**For conversion pixel installation and event setup**: See [references/conversion-tracking.md](references/conversion-tracking.md)
### Universal Pre-Launch Checklist
- [ ] Conversion tracking tested with real conversion
- [ ] Landing page loads fast (<3 sec)
@@ -301,13 +304,14 @@ For implementation, see the [tools registry](../../tools/REGISTRY.md). Key adver
| **LinkedIn Ads** | B2B, job title targeting | - | [linkedin-ads.md](../../tools/integrations/linkedin-ads.md) |
| **TikTok Ads** | Younger demographics, video | - | [tiktok-ads.md](../../tools/integrations/tiktok-ads.md) |
For tracking, see also: [ga4.md](../../tools/integrations/ga4.md), [segment.md](../../tools/integrations/segment.md)
For tracking setup, see [references/conversion-tracking.md](references/conversion-tracking.md), [ga4.md](../../tools/integrations/ga4.md), [segment.md](../../tools/integrations/segment.md)
---
## Related Skills
- **ad-creative**: For generating and iterating ad headlines, descriptions, and creative at scale
- **copywriting**: For landing page copy that converts ad traffic
- **analytics-tracking**: For proper conversion tracking setup
- **ab-test-setup**: For landing page testing to improve ROAS
- **page-cro**: For optimizing post-click conversion rates
- **analytics**: For proper conversion tracking setup
- **ab-testing**: For landing page testing to improve ROAS
- **cro**: For optimizing post-click conversion rates
+90
View File
@@ -0,0 +1,90 @@
{
"skill_name": "ads",
"evals": [
{
"id": 1,
"prompt": "Help me plan a paid advertising strategy. We're a B2B SaaS tool for HR teams, selling at $99/month per seat. We have $15k/month to spend on ads and want to generate demo requests. Where should we advertise?",
"expected_output": "Should check for product-marketing.md first. Should apply the platform selection guide based on B2B, HR audience, $99/month price point. Should recommend LinkedIn (B2B targeting by job title/industry), Google Ads (search intent for HR software keywords), and potentially Meta (retargeting). Should recommend campaign structure with naming conventions. Should define audience targeting strategy for each platform. Should set budget allocation across platforms. Should define success metrics and attribution approach. Should recommend starting structure and scaling plan.",
"assertions": [
"Checks for product-marketing.md",
"Applies platform selection guide",
"Recommends platforms appropriate for B2B HR audience",
"Recommends campaign structure with naming conventions",
"Defines audience targeting per platform",
"Sets budget allocation across platforms",
"Defines success metrics",
"Recommends starting structure and scaling plan"
],
"files": []
},
{
"id": 2,
"prompt": "Our Google Ads CPC is $12 and our cost per lead is $180. Is that good? We're getting about 80 leads/month from a $15k budget.",
"expected_output": "Should evaluate the metrics in context. Should assess: $12 CPC for B2B (reasonable depending on industry), $180 CPL (depends on LTV — need to compare against customer lifetime value), 80 leads/month from $15k (math checks out). Should apply the campaign optimization framework: check quality score, search term relevance, landing page conversion rate, negative keywords. Should recommend specific optimization levers to reduce CPC and CPL. Should frame performance against industry benchmarks if applicable. Should ask about downstream conversion rates (lead → demo → customer).",
"assertions": [
"Evaluates metrics in context",
"Compares CPL against LTV considerations",
"Applies campaign optimization framework",
"Recommends specific optimization levers",
"Asks about downstream conversion rates",
"Provides industry context for benchmarking"
],
"files": []
},
{
"id": 3,
"prompt": "we want to run retargeting ads for people who visited our site but didn't convert. how should we set this up?",
"expected_output": "Should trigger on casual phrasing. Should apply the retargeting strategies section, specifically the funnel-based approach. Should recommend audience segments: all visitors (broad), pricing page visitors (high intent), blog readers (lower intent), and cart/signup abandoners (highest intent). Should recommend different messaging and offers for each segment. Should address frequency capping to avoid ad fatigue. Should recommend retargeting platforms (Meta, Google Display, LinkedIn). Should include duration windows for each audience.",
"assertions": [
"Triggers on casual phrasing",
"Applies funnel-based retargeting approach",
"Recommends audience segments by intent level",
"Recommends different messaging per segment",
"Addresses frequency capping",
"Recommends retargeting platforms",
"Includes audience duration windows"
],
"files": []
},
{
"id": 4,
"prompt": "Should we advertise on TikTok? We sell accounting software to small businesses. Our current ads are on Google and Meta.",
"expected_output": "Should apply the platform selection guide for TikTok specifically. Should evaluate TikTok fit for accounting software + small business audience: likely a weaker fit than Google/Meta for this category (lower purchase intent, younger skewing audience, less B2B targeting). Should discuss when TikTok CAN work for B2B (brand awareness, creative content, younger business owners). Should provide an honest recommendation with caveats. Should suggest a small test budget approach if they want to try.",
"assertions": [
"Applies platform selection guide for TikTok",
"Evaluates fit for accounting + small business audience",
"Provides honest assessment of likely weaker fit",
"Discusses when TikTok can work for B2B",
"Suggests small test budget if proceeding",
"Compares to their existing Google/Meta performance"
],
"files": []
},
{
"id": 5,
"prompt": "How do we structure our Google Ads campaigns? We have 50+ keywords we want to target for our CRM product.",
"expected_output": "Should apply the campaign structure and naming conventions framework. Should recommend organizing campaigns by theme/intent (brand, competitor, product features, pain points). Should recommend ad group structure (tightly themed, 5-15 keywords per group). Should define naming conventions for campaigns and ad groups. Should recommend match types strategy. Should include negative keyword lists. Should provide a sample campaign structure.",
"assertions": [
"Applies campaign structure framework",
"Organizes campaigns by theme/intent",
"Recommends tight ad group structure",
"Defines naming conventions",
"Recommends match types strategy",
"Includes negative keyword lists",
"Provides sample campaign structure"
],
"files": []
},
{
"id": 6,
"prompt": "Can you write some ad copy for our Facebook ads? We need headlines and descriptions for 5 different angles.",
"expected_output": "Should recognize this is an ad creative generation task, not campaign strategy. Should defer to or cross-reference the ad-creative skill, which handles platform-specific ad copy generation with character limits, angle-based variation, and batch generation. May provide brief ad copy framework guidance but should make clear that ad-creative is the right skill for generating ad copy at scale.",
"assertions": [
"Recognizes this as ad creative generation",
"References or defers to ad-creative skill",
"Does not attempt bulk ad copy generation using campaign strategy patterns"
],
"files": []
}
]
}
@@ -2,6 +2,13 @@
Detailed formulas and templates for writing high-converting ad copy.
## Contents
- Primary Text Formulas (Problem-Agitate-Solve, Before-After-Bridge, Social Proof Lead, Feature-Benefit Bridge, Direct Response)
- Headline Formulas (For Search Ads, For Social Ads)
- CTA Variations (Soft CTAs, Hard CTAs, Urgency CTAs, Action-Oriented CTAs)
- Platform-Specific Copy Guidelines (Google Search Ads, Meta Ads, LinkedIn Ads)
- Copy Testing Priority
## Primary Text Formulas
### Problem-Agitate-Solve (PAS)
@@ -2,6 +2,15 @@
Detailed targeting strategies for each major ad platform.
## Contents
- Google Ads Audiences (Search Campaign Targeting, Display/YouTube Targeting)
- Meta Audiences (Core Audiences, Custom Audiences, Lookalike Audiences)
- LinkedIn Audiences (Job-Based Targeting, Company-Based Targeting, High-Performing Combinations)
- Twitter/X Audiences
- TikTok Audiences
- Audience Size Guidelines
- Exclusion Strategy
## Google Ads Audiences
### Search Campaign Targeting
@@ -0,0 +1,361 @@
# Conversion Tracking Setup
How to set up conversion tracking pixels across ad platforms. This guide covers installation, event configuration, and validation — everything a marketer needs to ensure ad spend is properly attributed.
---
## Why This Matters
Without conversion tracking:
- Ad platforms can't optimize for your actual goals
- You're flying blind on ROAS and CPA
- Retargeting audiences can't be built
- You'll waste budget on impressions that don't convert
Get tracking right before spending a dollar on ads.
---
## Platform Pixels Overview
| Platform | Pixel/Tag Name | Events API | Key Events |
|----------|---------------|:----------:|------------|
| **Google Ads** | Google tag (gtag.js) | Enhanced Conversions | purchase, sign_up, generate_lead |
| **Meta** | Meta Pixel + CAPI | Conversions API | Purchase, Lead, ViewContent, AddToCart |
| **LinkedIn** | Insight Tag | Conversions API | conversion (URL or event-based) |
| **TikTok** | TikTok Pixel | Events API | Purchase, ViewContent, AddToCart, CompleteRegistration |
| **Twitter/X** | Twitter Pixel | - | Purchase, SignUp, Download |
---
## Google Ads
### Install the Google tag
Add to every page, in `<head>`:
```html
<script async src="https://www.googletagmanager.com/gtag/js?id=AW-XXXXXXXXX"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'AW-XXXXXXXXX');
</script>
```
Replace `AW-XXXXXXXXX` with your Conversion ID from Google Ads > Tools > Conversions.
### Set up conversion actions
In Google Ads > Goals > Conversions > New conversion action:
| Conversion | Category | Value | Count |
|-----------|----------|-------|-------|
| Purchase | Purchase | Dynamic (order value) | Every |
| Sign up / Lead | Sign-up | Fixed ($X estimated value) | One |
| Demo request | Lead | Fixed ($X estimated value) | One |
| Free trial start | Sign-up | Fixed ($X estimated value) | One |
### Fire conversion events
```javascript
// Purchase
gtag('event', 'conversion', {
'send_to': 'AW-XXXXXXXXX/CONVERSION_LABEL',
'value': 99.00,
'currency': 'USD',
'transaction_id': 'ORDER-123'
});
// Lead / Sign up
gtag('event', 'conversion', {
'send_to': 'AW-XXXXXXXXX/CONVERSION_LABEL',
'value': 50.00,
'currency': 'USD'
});
```
### Enhanced Conversions
Sends hashed first-party data (email, phone) to improve attribution after cookie restrictions. Enable in Google Ads > Goals > Settings > Enhanced conversions.
```javascript
gtag('set', 'user_data', {
'email': 'user@example.com', // auto-hashed by gtag
'phone_number': '+11234567890'
});
```
### Google Tag Manager alternative
If using GTM instead of inline gtag.js:
1. Install GTM container on all pages
2. Create Google Ads conversion tags in GTM
3. Set triggers for conversion events (form submissions, purchases)
4. Use the Data Layer to pass dynamic values (order amount, transaction ID)
5. Test with GTM Preview mode before publishing
---
## Meta (Facebook/Instagram)
### Install the Meta Pixel
Add to every page, in `<head>`:
```html
<script>
!function(f,b,e,v,n,t,s)
{if(f.fbq)return;n=f.fbq=function(){n.callMethod?
n.callMethod.apply(n,arguments):n.queue.push(arguments)};
if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';
n.queue=[];t=b.createElement(e);t.async=!0;
t.src=v;s=b.getElementsByTagName(e)[0];
s.parentNode.insertBefore(t,s)}(window, document,'script',
'https://connect.facebook.net/en_US/fbevents.js');
fbq('init', 'YOUR_PIXEL_ID');
fbq('track', 'PageView');
</script>
```
Replace `YOUR_PIXEL_ID` from Meta Events Manager.
### Standard events
```javascript
// View a product or key page
fbq('track', 'ViewContent', {
content_name: 'Pro Plan',
content_category: 'Pricing',
value: 29.00,
currency: 'USD'
});
// Lead capture (form submit, demo request)
fbq('track', 'Lead', {
content_name: 'Demo Request',
value: 50.00,
currency: 'USD'
});
// Purchase
fbq('track', 'Purchase', {
value: 99.00,
currency: 'USD',
content_type: 'product',
contents: [{ id: 'pro-plan', quantity: 1 }]
});
// Add to cart (e-commerce)
fbq('track', 'AddToCart', {
content_ids: ['SKU-123'],
content_type: 'product',
value: 49.00,
currency: 'USD'
});
```
### Conversions API (CAPI)
Server-side tracking that works alongside the pixel. Required for accurate tracking after iOS 14+ and cookie restrictions.
Set up via:
- **Direct integration** — send events from your server to Meta's API
- **Partner integrations** — Shopify, WooCommerce, Segment, etc. have built-in CAPI support
- **Conversions API Gateway** — Meta's managed solution via AWS
Key: send the same events from both pixel (browser) AND CAPI (server), with a shared `event_id` for deduplication.
### Aggregated Event Measurement
Required for iOS 14+ tracking. In Events Manager > Aggregated Event Measurement:
1. Verify your domain
2. Configure and prioritize your top 8 events in order of business importance
3. Purchase should typically be #1, Lead #2
---
## LinkedIn
### Install the Insight Tag
Add to every page, before `</body>`:
```html
<script type="text/javascript">
_linkedin_partner_id = "YOUR_PARTNER_ID";
window._linkedin_data_partner_ids = window._linkedin_data_partner_ids || [];
window._linkedin_data_partner_ids.push(_linkedin_partner_id);
(function(l) {
if (!l){window.lintrk = function(a,b){window.lintrk.q.push([a,b])};
window.lintrk.q=[]}
var s = document.getElementsByTagName("script")[0];
var b = document.createElement("script");
b.type = "text/javascript";b.async = true;
b.src = "https://snap.licdn.com/li.lms-analytics/insight.min.js";
s.parentNode.insertBefore(b, s);})(window.lintrk);
</script>
```
### Conversion tracking
LinkedIn supports two methods:
**URL-based**: Fires when someone visits a specific URL (e.g., `/thank-you`).
Set up in Campaign Manager > Analyze > Conversion Tracking > Create Conversion.
**Event-based**: Fire manually on specific actions:
```javascript
window.lintrk('track', { conversion_id: YOUR_CONVERSION_ID });
```
### LinkedIn CAPI
For server-side tracking, LinkedIn offers a Conversions API. Set up via partner integrations (Segment, Tealium) or direct API calls. Deduplicates with the Insight Tag automatically when configured correctly.
---
## TikTok
### Install the TikTok Pixel
Add to every page, in `<head>`:
```html
<script>
!function (w, d, t) {
w.TiktokAnalyticsObject=t;var ttq=w[t]=w[t]||[];
ttq.methods=["page","track","identify","instances","debug","on","off",
"once","ready","alias","group","enableCookie","disableCookie","holdConsent",
"revokeConsent","grantConsent"],ttq.setAndDefer=function(t,e)
{t[e]=function(){t.push([e].concat(Array.prototype.slice.call(arguments,0)))}};
for(var i=0;i<ttq.methods.length;i++)ttq.setAndDefer(ttq,ttq.methods[i]);
ttq.instance=function(t){for(var e=ttq._i[t]||[],n=0;
n<ttq.methods.length;n++)ttq.setAndDefer(e,ttq.methods[n]);return e};
ttq.load=function(e,n){var r="https://analytics.tiktok.com/i18n/pixel/events.js",
o=n&&n.partner;ttq._i=ttq._i||{},ttq._i[e]=[],ttq._i[e]._u=r,
ttq._t=ttq._t||{},ttq._t[e]=+new Date,ttq._o=ttq._o||{},
ttq._o[e]=n||{};var s=document.createElement("script");
s.type="text/javascript",s.async=!0,s.src=r+"?sdkid="+e+"&lib="+t;
var a=document.getElementsByTagName("script")[0];
a.parentNode.insertBefore(s,a)};
ttq.load('YOUR_PIXEL_ID');
ttq.page();
}(window, document, 'ttq');
</script>
```
### Standard events
```javascript
// View content
ttq.track('ViewContent', {
content_id: 'pro-plan',
content_type: 'product',
content_name: 'Pro Plan',
value: 29.00,
currency: 'USD'
});
// Complete registration / sign up
ttq.track('CompleteRegistration', {
content_name: 'Free Trial'
});
// Purchase
ttq.track('Purchase', {
content_id: 'pro-plan',
content_type: 'product',
value: 99.00,
currency: 'USD',
quantity: 1
});
// Add to cart
ttq.track('AddToCart', {
content_id: 'SKU-123',
content_type: 'product',
value: 49.00,
currency: 'USD'
});
```
### Events API (server-side)
TikTok's Events API works like Meta's CAPI — send the same events from your server for better attribution. Use `event_id` for deduplication with browser pixel events.
### Advanced Matching
Pass hashed user data for better attribution:
```javascript
ttq.identify({
email: 'user@example.com', // auto-hashed
phone_number: '+11234567890'
});
```
---
## Validation Checklist
After installing any pixel, verify before going live:
### Browser-side checks
- [ ] Pixel fires on every page (check via browser extension)
- [ ] Conversion events fire at the right moment (after confirmed action, not on button click)
- [ ] Event parameters contain correct values (currency, amount, content IDs)
- [ ] No duplicate events firing on the same action
- [ ] Events fire on both desktop and mobile
### Platform-side checks
- [ ] Events appear in the platform's event manager/diagnostics
- [ ] Test conversions show correct values
- [ ] Event match quality is acceptable (Meta: score > 6)
- [ ] Server-side events are deduplicating with browser events (not double-counting)
### Debugging tools
| Platform | Tool |
|----------|------|
| Google | Google Tag Assistant, Chrome DevTools Network tab |
| Meta | Meta Pixel Helper (Chrome extension), Events Manager Test Events |
| LinkedIn | Insight Tag Validator in Campaign Manager |
| TikTok | TikTok Pixel Helper (Chrome extension), Events Manager |
| All | GTM Preview Mode (if using Google Tag Manager) |
---
## Common Mistakes
- **Firing purchase events on button click instead of confirmed payment** — always fire on the success/thank-you page or after server confirmation
- **Missing deduplication between pixel and server events** — without a shared `event_id`, you'll double-count conversions
- **Not testing on mobile** — many pixels break on mobile browsers or in-app webviews
- **Hardcoded test values** — remove test transaction amounts before going live
- **Forgetting to exclude internal traffic** — your team's visits inflate conversion data
- **Installing pixels without consent management** — GDPR/CCPA require user consent before firing tracking pixels in applicable regions
- **Pixel installed but no conversion actions created** — the pixel collects data, but the ad platform won't optimize without defined conversion actions
---
## When to Use Server-Side Tracking
Browser-only tracking is increasingly unreliable due to:
- iOS 14+ App Tracking Transparency
- Third-party cookie deprecation
- Ad blockers (30%+ of tech audiences)
**Use server-side (CAPI/Events API) when:**
- Running Meta or TikTok ads (strongly recommended)
- Your audience is tech-savvy (higher ad blocker usage)
- You need accurate purchase/revenue attribution
- You're spending >$5K/month on any platform
**Server-side is optional when:**
- Running Google Ads only (Enhanced Conversions covers most gaps)
- Low ad spend / testing phase
- B2B with LinkedIn only (Insight Tag is still reliable)
@@ -2,6 +2,14 @@
Complete setup checklists for major ad platforms.
## Contents
- Google Ads Setup (Account Foundation, Conversion Tracking, Analytics Integration, Audience Setup, Campaign Readiness, Ad Extensions, Brand Protection)
- Meta Ads Setup (Business Manager Foundation, Pixel & Tracking, Domain & Aggregated Events, Audience Setup, Catalog, Creative Assets, Compliance)
- LinkedIn Ads Setup (Campaign Manager Foundation, Insight Tag & Tracking, Audience Setup, Lead Gen Forms, Document Ads, Creative Assets, Budget Considerations)
- Twitter/X Ads Setup (Account Foundation, Tracking, Audience Setup, Creative)
- TikTok Ads Setup (Account Foundation, Pixel & Tracking, Audience Setup, Creative)
- Universal Pre-Launch Checklist
## Google Ads Setup
### Account Foundation
+485
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@@ -0,0 +1,485 @@
---
name: ai-seo
description: "When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema."
metadata:
version: 2.0.1
---
# AI SEO
You are an expert in AI search optimization — the practice of making content discoverable, extractable, and citable by AI systems including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Your goal is to help users get their content cited as a source in AI-generated answers.
## Before Starting
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Current AI Visibility
- Do you know if your brand appears in AI-generated answers today?
- Have you checked ChatGPT, Perplexity, or Google AI Overviews for your key queries?
- What queries matter most to your business?
### 2. Content & Domain
- What type of content do you produce? (Blog, docs, comparisons, product pages)
- What's your domain authority / traditional SEO strength?
- Do you have existing structured data (schema markup)?
### 3. Goals
- Get cited as a source in AI answers?
- Appear in Google AI Overviews for specific queries?
- Compete with specific brands already getting cited?
- Optimize existing content or create new AI-optimized content?
### 4. Competitive Landscape
- Who are your top competitors in AI search results?
- Are they being cited where you're not?
---
## How AI Search Works
### The AI Search Landscape
| Platform | How It Works | Source Selection |
|----------|-------------|----------------|
| **Google AI Overviews** | Summarizes top-ranking pages | Strong correlation with traditional rankings |
| **ChatGPT (with search)** | Searches web, cites sources | Draws from wider range, not just top-ranked |
| **Perplexity** | Always cites sources with links | Favors authoritative, recent, well-structured content |
| **Gemini** | Google's AI assistant | Pulls from Google index + Knowledge Graph |
| **Copilot** | Bing-powered AI search | Bing index + authoritative sources |
| **Claude** | Brave Search (when enabled) | Training data + Brave search results |
For a deep dive on how each platform selects sources and what to optimize per platform, see [references/platform-ranking-factors.md](references/platform-ranking-factors.md).
### Key Difference from Traditional SEO
Traditional SEO gets you ranked. AI SEO gets you **cited**.
In traditional search, you need to rank on page 1. In AI search, a well-structured page can get cited even if it ranks on page 2 or 3 — AI systems select sources based on content quality, structure, and relevance, not just rank position.
**Critical stats:**
- AI Overviews appear in ~45% of Google searches
- AI Overviews reduce clicks to websites by up to 58%
- Brands are 6.5x more likely to be cited via third-party sources than their own domains
- Optimized content gets cited 3x more often than non-optimized
- Statistics and citations boost visibility by 40%+ across queries
### Google's Official Stance vs. Multi-Platform Reality
This is important to read once before doing anything else.
**Google's position** ([AI features optimization guide](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)):
> "The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems."
Google explicitly says:
- **No special markup or files are required** for AI Overviews or AI Mode
- **Don't chunk content for AI** — write for people, organize with normal headings and paragraphs
- **Don't write separate content for AI** — that risks "scaled content abuse" spam policy
- **Helpful, reliable, people-first content** wins — same E-E-A-T standards as regular Search
- **No AI-specific Search Console reporting** — use standard SEO metrics
**Other AI engines (ChatGPT, Claude, Perplexity, Copilot) behave differently:**
- They actively reward extractable structure — passages, FAQs, comparison tables, definition blocks
- They parse `llms.txt`, structured pricing pages, and machine-readable files when present
- They cite third-party sources (Reddit, Wikipedia, review sites) more heavily than top-ranked pages
**What this means for the work:**
- The structural patterns in this skill (4060 word answer blocks, FAQ schema, comparison tables) help **non-Google AI engines** materially. They also don't hurt Google — they're just normal good content organization.
- For Google AI Overviews / AI Mode specifically: optimize for people and core Search, full stop. Strong E-E-A-T, original information, semantic HTML, clean indexability.
- For ChatGPT/Claude/Perplexity: layer on the extractable structure + llms.txt + machine-readable files.
When in doubt, default to "write for people, organize for clarity" — that satisfies both camps.
### Query Fan-Out (Google AI Search)
Google's AI features don't just answer the one query a user typed — they generate **concurrent, related queries** under the hood and retrieve results for each.
Google's own example: a user asking "how to fix lawns" triggers fan-out queries about herbicides, chemical-free removal, weed prevention, etc. The AI synthesizes across all of them.
**Implications:**
- Single-page-per-keyword targeting is less effective. Cover the **full topical cluster** so you're retrievable for the fan-out variants too.
- Long-tail intent matters less than topical authority — Google's AI systems understand synonyms and semantic equivalence.
- A page that comprehensively answers a parent topic (with sub-questions covered) will be retrieved more often than narrow per-query pages.
**Action**: when planning content, brainstorm the 510 related queries the AI is likely to fan out to and make sure your content (or your site as a whole) covers them.
---
## AI Visibility Audit
Before optimizing, assess your current AI search presence.
### Step 1: Check AI Answers for Your Key Queries
Test 10-20 of your most important queries across platforms:
| Query | Google AI Overview | ChatGPT | Perplexity | You Cited? | Competitors Cited? |
|-------|:-----------------:|:-------:|:----------:|:----------:|:-----------------:|
| [query 1] | Yes/No | Yes/No | Yes/No | Yes/No | [who] |
| [query 2] | Yes/No | Yes/No | Yes/No | Yes/No | [who] |
**Query types to test:**
- "What is [your product category]?"
- "Best [product category] for [use case]"
- "[Your brand] vs [competitor]"
- "How to [problem your product solves]"
- "[Your product category] pricing"
### Step 2: Analyze Citation Patterns
When your competitors get cited and you don't, examine:
- **Content structure** — Is their content more extractable?
- **Authority signals** — Do they have more citations, stats, expert quotes?
- **Freshness** — Is their content more recently updated?
- **Schema markup** — Do they have structured data you're missing?
- **Third-party presence** — Are they cited via Wikipedia, Reddit, review sites?
### Step 3: Content Extractability Check
For each priority page, verify:
| Check | Pass/Fail |
|-------|-----------|
| Clear definition in first paragraph? | |
| Self-contained answer blocks (work without surrounding context)? | |
| Statistics with sources cited? | |
| Comparison tables for "[X] vs [Y]" queries? | |
| FAQ section with natural-language questions? | |
| Schema markup (FAQ, HowTo, Article, Product)? | |
| Expert attribution (author name, credentials)? | |
| Recently updated (within 6 months)? | |
| Heading structure matches query patterns? | |
| AI bots allowed in robots.txt? | |
### Step 4: AI Bot Access Check
Verify your robots.txt allows AI crawlers. Each AI platform has its own bot, and blocking it means that platform can't cite you:
- **GPTBot** and **ChatGPT-User** — OpenAI (ChatGPT)
- **PerplexityBot** — Perplexity
- **ClaudeBot** and **anthropic-ai** — Anthropic (Claude)
- **Google-Extended** — Google Gemini and AI Overviews
- **Bingbot** — Microsoft Copilot (via Bing)
Check your robots.txt for `Disallow` rules targeting any of these. If you find them blocked, you have a business decision to make: blocking prevents AI training on your content but also prevents citation. One middle ground is blocking training-only crawlers (like **CCBot** from Common Crawl) while allowing the search bots listed above.
See [references/platform-ranking-factors.md](references/platform-ranking-factors.md) for the full robots.txt configuration.
---
## Optimization Strategy
### The Three Pillars
```
1. Structure (make it extractable)
2. Authority (make it citable)
3. Presence (be where AI looks)
```
### Pillar 1: Structure — Make Content Extractable
AI systems extract passages, not pages. Every key claim should work as a standalone statement.
**Content block patterns:**
- **Definition blocks** for "What is X?" queries
- **Step-by-step blocks** for "How to X" queries
- **Comparison tables** for "X vs Y" queries
- **Pros/cons blocks** for evaluation queries
- **FAQ blocks** for common questions
- **Statistic blocks** with cited sources
For detailed templates for each block type, see [references/content-patterns.md](references/content-patterns.md).
**Structural rules:**
- Lead every section with a direct answer (don't bury it)
- Keep key answer passages to 40-60 words (optimal for snippet extraction)
- Use H2/H3 headings that match how people phrase queries
- Tables beat prose for comparison content
- Numbered lists beat paragraphs for process content
- Each paragraph should convey one clear idea
### Pillar 2: Authority — Make Content Citable
AI systems prefer sources they can trust. Build citation-worthiness.
**The Princeton GEO research** (KDD 2024, studied across Perplexity.ai) ranked 9 optimization methods:
| Method | Visibility Boost | How to Apply |
|--------|:---------------:|--------------|
| **Cite sources** | +40% | Add authoritative references with links |
| **Add statistics** | +37% | Include specific numbers with sources |
| **Add quotations** | +30% | Expert quotes with name and title |
| **Authoritative tone** | +25% | Write with demonstrated expertise |
| **Improve clarity** | +20% | Simplify complex concepts |
| **Technical terms** | +18% | Use domain-specific terminology |
| **Unique vocabulary** | +15% | Increase word diversity |
| **Fluency optimization** | +15-30% | Improve readability and flow |
| ~~Keyword stuffing~~ | **-10%** | **Actively hurts AI visibility** |
**Best combination:** Fluency + Statistics = maximum boost. Low-ranking sites benefit even more — up to 115% visibility increase with citations.
**Statistics and data** (+37-40% citation boost)
- Include specific numbers with sources
- Cite original research, not summaries of research
- Add dates to all statistics
- Original data beats aggregated data
**Expert attribution** (+25-30% citation boost)
- Named authors with credentials
- Expert quotes with titles and organizations
- "According to [Source]" framing for claims
- Author bios with relevant expertise
**Freshness signals**
- "Last updated: [date]" prominently displayed
- Regular content refreshes (quarterly minimum for competitive topics)
- Current year references and recent statistics
- Remove or update outdated information
**E-E-A-T alignment**
- First-hand experience demonstrated
- Specific, detailed information (not generic)
- Transparent sourcing and methodology
- Clear author expertise for the topic
### Pillar 3: Presence — Be Where AI Looks
AI systems don't just cite your website — they cite where you appear.
**Third-party sources matter more than your own site:**
- Wikipedia mentions (7.8% of all ChatGPT citations)
- Reddit discussions (1.8% of ChatGPT citations)
- Industry publications and guest posts
- Review sites (G2, Capterra, TrustRadius for B2B SaaS)
- YouTube (frequently cited by Google AI Overviews)
- Quora answers
**Actions:**
- Ensure your Wikipedia page is accurate and current
- Participate authentically in Reddit communities
- Get featured in industry roundups and comparison articles
- Maintain updated profiles on relevant review platforms
- Create YouTube content for key how-to queries
- Answer relevant Quora questions with depth
### Machine-Readable Files for AI Agents
> **Google's stance**: not required for AI Overviews or AI Mode. Their guide explicitly says you don't need new markup, AI files, or markdown to appear in generative AI search.
>
> **Why include them anyway**: non-Google AI engines (ChatGPT, Claude, Perplexity) and autonomous buying agents do reward extractable structure. The files below help with those engines without harming Google.
AI agents aren't just answering questions — they're becoming buyers. When an AI agent evaluates tools on behalf of a user, it needs structured, parseable information. If your pricing is locked in a JavaScript-rendered page or a "contact sales" wall, agents will skip you and recommend competitors whose information they can actually read.
Add these machine-readable files to your site root:
**`/pricing.md` or `/pricing.txt`** — Structured pricing data for AI agents
```markdown
# Pricing — [Your Product Name]
## Free
- Price: $0/month
- Limits: 100 emails/month, 1 user
- Features: Basic templates, API access
## Pro
- Price: $29/month (billed annually) | $35/month (billed monthly)
- Limits: 10,000 emails/month, 5 users
- Features: Custom domains, analytics, priority support
## Enterprise
- Price: Custom — contact sales@example.com
- Limits: Unlimited emails, unlimited users
- Features: SSO, SLA, dedicated account manager
```
**Why this matters now:**
- AI agents increasingly compare products programmatically before a human ever visits your site
- Opaque pricing gets filtered out of AI-mediated buying journeys
- A simple markdown file is trivially parseable by any LLM — no rendering, no JavaScript, no login walls
- Same principle as `robots.txt` (for crawlers), `llms.txt` (for AI context), and `AGENTS.md` (for agent capabilities)
**Best practices:**
- Use consistent units (monthly vs. annual, per-seat vs. flat)
- Include specific limits and thresholds, not just feature names
- List what's included at each tier, not just what's different
- Keep it updated — stale pricing is worse than no file
- Link to it from your sitemap and main pricing page
**`/llms.txt`** — Context file for AI systems (see [llmstxt.org](https://llmstxt.org))
If you don't have one yet, add an `llms.txt` that gives AI systems a quick overview of what your product does, who it's for, and links to key pages (including your pricing).
### Schema Markup for AI
Structured data helps AI systems understand your content. Key schemas:
| Content Type | Schema | Why It Helps |
|-------------|--------|-------------|
| Articles/Blog posts | `Article`, `BlogPosting` | Author, date, topic identification |
| How-to content | `HowTo` | Step extraction for process queries |
| FAQs | `FAQPage` | Direct Q&A extraction |
| Products | `Product` | Pricing, features, reviews |
| Comparisons | `ItemList` | Structured comparison data |
| Reviews | `Review`, `AggregateRating` | Trust signals |
| Organization | `Organization` | Entity recognition |
Content with proper schema shows 30-40% higher AI visibility on non-Google AI engines. **Google's note**: structured data is "not required for generative AI search" but is recommended for overall SEO strategy. For implementation, use the **schema** skill.
---
## Agentic Experiences
Beyond AI search engines summarizing content, autonomous agents are starting to access sites directly — clicking, reading, comparing, even buying on behalf of users. Google's guide flags this as an emerging category to plan for.
**How agents access your site:**
- **Visual rendering** — they screenshot/read the page like a user would
- **DOM inspection** — they parse the page's HTML structure
- **Accessibility tree** — they rely on the same semantic information assistive tech uses (labels, roles, landmarks, headings)
**What to do:**
- **Render meaningful content without heavy JS gymnastics** — if the page is blank until 4 frameworks finish loading, agents see blank
- **Semantic HTML** — use `<main>`, `<nav>`, `<article>`, `<button>`, proper heading hierarchy, `alt` text on images
- **Clean accessibility tree** — every interactive element labelled; ARIA used correctly (or not at all when native HTML suffices)
- **Stable selectors / predictable layouts** — agents struggle with sites that re-render every interaction
- **Visible pricing, specs, contact info** — anything an agent would need to make a buying recommendation should be on a public, indexable page (this is where `/pricing.md` and similar files help)
**Emerging — Universal Commerce Protocol (UCP):**
Google references UCP as a forthcoming protocol that will give agents standardized hooks for commerce interactions (catalog discovery, pricing, checkout). Watch for adoption; for now, the structural recommendations above are the precursor.
For ecom and local business specifically, Google highlights:
- **Merchant Center feeds** + **Google Business Profile** for product/service visibility in AI Search
- **Business Agent** for conversational customer engagement (where applicable)
---
## Content Types That Get Cited Most
Not all content is equally citable. Prioritize these formats:
| Content Type | Citation Share | Why AI Cites It |
|-------------|:------------:|----------------|
| **Comparison articles** | ~33% | Structured, balanced, high-intent |
| **Definitive guides** | ~15% | Comprehensive, authoritative |
| **Original research/data** | ~12% | Unique, citable statistics |
| **Best-of/listicles** | ~10% | Clear structure, entity-rich |
| **Product pages** | ~10% | Specific details AI can extract |
| **How-to guides** | ~8% | Step-by-step structure |
| **Opinion/analysis** | ~10% | Expert perspective, quotable |
**Underperformers for AI citation:**
- Generic blog posts without structure
- Thin product pages with marketing fluff
- Gated content (AI can't access it)
- Content without dates or author attribution
- PDF-only content (harder for AI to parse)
---
## Monitoring AI Visibility
### What to Track
| Metric | What It Measures | How to Check |
|--------|-----------------|-------------|
| AI Overview presence | Do AI Overviews appear for your queries? | Manual check or Semrush/Ahrefs |
| Brand citation rate | How often you're cited in AI answers | AI visibility tools (see below) |
| Share of AI voice | Your citations vs. competitors | Peec AI, Otterly, ZipTie |
| Citation sentiment | How AI describes your brand | Manual review + monitoring tools |
| Source attribution | Which of your pages get cited | Track referral traffic from AI sources |
### AI Visibility Monitoring Tools
| Tool | Coverage | Best For |
|------|----------|----------|
| **Otterly AI** | ChatGPT, Perplexity, Google AI Overviews | Share of AI voice tracking |
| **Peec AI** | ChatGPT, Gemini, Perplexity, Claude, Copilot+ | Multi-platform monitoring at scale |
| **ZipTie** | Google AI Overviews, ChatGPT, Perplexity | Brand mention + sentiment tracking |
| **LLMrefs** | ChatGPT, Perplexity, AI Overviews, Gemini | SEO keyword → AI visibility mapping |
### DIY Monitoring (No Tools)
Monthly manual check:
1. Pick your top 20 queries
2. Run each through ChatGPT, Perplexity, and Google
3. Record: Are you cited? Who is? What page?
4. Log in a spreadsheet, track month-over-month
### Search Console expectations
Google's guide is explicit: **there is no AI-specific Search Console reporting**. AI Overviews and AI Mode use core Search ranking, so the standard Search Console reports (Performance, Coverage, Core Web Vitals) are still what you measure with for Google. The third-party tools above are the only way to see cross-platform AI citation behavior.
---
## What NOT to Do
Google's guide calls these out explicitly — they hurt across both traditional Search and AI features.
1. **Write separate content "for AI"**. Same content should serve people and AI. Writing variants targeted at AI systems risks the **scaled content abuse spam policy** — Google's words.
2. **Chunk pages into AI-bait fragments**. Google's guide is direct: *"Don't break your content into tiny pieces for AI to better understand it."* Use normal paragraph + heading structure.
3. **Generate at scale for ranking manipulation**. AI-generated content is fine *if* it meets Search Essentials and spam policies. Mass-producing thin variations does not.
4. **Pursue inauthentic mentions**. Don't fabricate citations or bulk-spam Reddit/Wikipedia for AI visibility. Real participation only.
5. **Block AI crawlers if you want citation**. Blocking GPTBot, PerplexityBot, ClaudeBot, Google-Extended means those engines literally cannot cite you. Block training-only crawlers (CCBot) if you must, not the search-and-cite ones.
6. **Hide your main content behind JS that doesn't render**. Both core Search and AI agents need to see your content; JS-only rendering loses both audiences.
7. **Skip E-E-A-T fundamentals**. Author identity, first-hand experience, expertise signals, transparent sourcing — Google's guide leans heavily on these for AI features.
---
## AI SEO by Content Type
For tactical guidance on SaaS product pages, blog content, comparison/alternative pages, documentation, and local/ecom (Google's emphasis on Merchant Center + Business Profile), see [references/content-types.md](references/content-types.md).
---
## Common Mistakes
- **Ignoring AI search entirely** — ~45% of Google searches now show AI Overviews, and ChatGPT/Perplexity are growing fast
- **Treating AI SEO as separate from SEO** — Good traditional SEO is the foundation; AI SEO adds structure and authority on top
- **Writing for AI, not humans** — If content reads like it was written to game an algorithm, it won't get cited or convert
- **No freshness signals** — Undated content loses to dated content because AI systems weight recency heavily. Show when content was last updated
- **Gating all content** — AI can't access gated content. Keep your most authoritative content open
- **Ignoring third-party presence** — You may get more AI citations from a Wikipedia mention than from your own blog
- **No structured data** — Schema markup gives AI systems structured context about your content
- **Keyword stuffing** — Unlike traditional SEO where it's just ineffective, keyword stuffing actively reduces AI visibility by 10% (Princeton GEO study)
- **Hiding pricing behind "contact sales" or JS-rendered pages** — AI agents evaluating your product on behalf of buyers can't parse what they can't read. Add a `/pricing.md` file
- **Blocking AI bots** — If GPTBot, PerplexityBot, or ClaudeBot are blocked in robots.txt, those platforms can't cite you
- **Generic content without data** — "We're the best" won't get cited. "Our customers see 3x improvement in [metric]" will
- **Forgetting to monitor** — You can't improve what you don't measure. Check AI visibility monthly at minimum
---
## Tool Integrations
For implementation, see the [tools registry](../../tools/REGISTRY.md).
| Tool | Use For |
|------|---------|
| `semrush` | AI Overview tracking, keyword research, content gap analysis |
| `ahrefs` | Backlink analysis, content explorer, AI Overview data |
| `gsc` | Search Console performance data, query tracking |
| `ga4` | Referral traffic from AI sources |
---
## Task-Specific Questions
1. What are your top 10-20 most important queries?
2. Have you checked if AI answers exist for those queries today?
3. Do you have structured data (schema markup) on your site?
4. What content types do you publish? (Blog, docs, comparisons, etc.)
5. Are competitors being cited by AI where you're not?
6. Do you have a Wikipedia page or presence on review sites?
---
## Related Skills
- **seo-audit**: For traditional technical and on-page SEO audits
- **schema**: For implementing structured data that helps AI understand your content
- **content-strategy**: For planning what content to create
- **competitors**: For building comparison pages that get cited
- **programmatic-seo**: For building SEO pages at scale
- **copywriting**: For writing content that's both human-readable and AI-extractable
+90
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@@ -0,0 +1,90 @@
{
"skill_name": "ai-seo",
"evals": [
{
"id": 1,
"prompt": "How do I make sure our SaaS product shows up in AI search results? We're a project management tool and we keep getting left out of ChatGPT and Perplexity recommendations when people ask about project management software.",
"expected_output": "Should check for product-marketing.md first. Should apply the three pillars framework: Structure (make content extractable), Authority (make content citable), Presence (be where AI looks). Should run through the AI Visibility Audit checklist across platforms (Google AI Overviews, ChatGPT, Perplexity, etc.). Should check content extractability (clear definitions, structured comparisons, statistics). Should reference Princeton GEO research findings (citations improve visibility +40%, statistics +37%). Should check AI bot access in robots.txt. Should provide a prioritized action plan.",
"assertions": [
"Checks for product-marketing.md",
"Applies three pillars framework (Structure, Authority, Presence)",
"Runs AI Visibility Audit across platforms",
"Checks content extractability",
"References Princeton GEO research findings",
"Checks AI bot access in robots.txt",
"Provides prioritized action plan"
],
"files": []
},
{
"id": 2,
"prompt": "Should we block AI crawlers like GPTBot and PerplexityBot in our robots.txt? We're worried about content theft.",
"expected_output": "Should address the AI bot access question directly. Should explain the tradeoff: blocking AI bots prevents training on your content but also prevents AI platforms from citing and recommending you. Should reference the specific bots and their purposes (GPTBot, Google-Extended, PerplexityBot, ClaudeBot, etc.). Should provide the recommended robots.txt configuration. Should explain that blocking may hurt AI visibility more than it protects content. Should provide a nuanced recommendation based on business goals.",
"assertions": [
"Addresses the blocking tradeoff directly",
"Explains impact on AI visibility vs content protection",
"Lists specific AI bot user agents",
"Provides recommended robots.txt configuration",
"Gives nuanced recommendation based on business goals",
"Explains what each bot does"
],
"files": []
},
{
"id": 3,
"prompt": "What kind of content gets cited most by AI systems? We want to create content specifically optimized for AI search.",
"expected_output": "Should reference the content types that get cited most, including comparisons (~33% of AI citations), definitive guides (~15%), and other high-citation content types. Should explain why these formats work (they provide the structured, extractable, authoritative information AI systems need). Should provide specific recommendations for creating AI-optimized content: clear definitions, structured data, original statistics, comparison tables, expert quotes. Should reference the Princeton GEO research on what increases citation probability.",
"assertions": [
"References specific content types with citation rates",
"Mentions comparisons as highest-cited format",
"Explains why these formats work for AI",
"Provides specific content creation recommendations",
"References Princeton GEO research",
"Mentions structured data, statistics, and clear definitions"
],
"files": []
},
{
"id": 4,
"prompt": "we noticed our competitors are showing up in google AI overviews but we're not. what do we need to change?",
"expected_output": "Should trigger on casual phrasing. Should focus specifically on Google AI Overviews visibility. Should explain how AI Overviews selects sources (authoritative, well-structured, directly answers queries). Should run through the Structure pillar checklist: content extractability, heading hierarchy, answer-first format, structured data. Should check Authority signals: domain authority, citations, E-E-A-T. Should recommend specific content structure changes. Should suggest monitoring approach.",
"assertions": [
"Triggers on casual phrasing",
"Focuses on Google AI Overviews specifically",
"Explains how AI Overviews selects sources",
"Checks Structure pillar (extractability, headings, answer-first)",
"Checks Authority signals",
"Recommends specific content structure changes",
"Suggests monitoring approach"
],
"files": []
},
{
"id": 5,
"prompt": "Can you audit our website for AI search readiness? We want to know how visible we are across ChatGPT, Perplexity, Google AI Overviews, and other AI platforms.",
"expected_output": "Should run the full AI Visibility Audit. Should check each platform in the landscape (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, Copilot). Should evaluate all three pillars: Structure (content extractability, JSON-LD, clear definitions), Authority (citations, backlinks, E-E-A-T signals), Presence (AI bot access, platform-specific factors). Should provide findings organized by pillar. Should provide a prioritized action plan with specific fixes.",
"assertions": [
"Runs full AI Visibility Audit",
"Checks multiple AI platforms",
"Evaluates all three pillars (Structure, Authority, Presence)",
"Checks content extractability",
"Checks AI bot access",
"Provides findings organized by pillar",
"Provides prioritized action plan"
],
"files": []
},
{
"id": 6,
"prompt": "Our organic search traffic has dropped 30% this quarter. Can you do a full SEO audit to figure out what's going on?",
"expected_output": "Should recognize this is a traditional SEO audit request, not specifically an AI SEO task. Should defer to or cross-reference the seo-audit skill, which handles comprehensive traditional SEO audits including crawlability, technical foundations, on-page optimization, and content quality. May mention AI search as one factor to investigate but should make clear that seo-audit is the primary skill for this task.",
"assertions": [
"Recognizes this as a traditional SEO audit request",
"References or defers to seo-audit skill",
"Does not attempt a full traditional SEO audit using AI SEO patterns",
"May mention AI search as one factor to consider"
],
"files": []
}
]
}
@@ -4,6 +4,12 @@ Reusable content block patterns optimized for answer engines and AI citation.
---
## Contents
- Answer Engine Optimization (AEO) Patterns (Definition Block, Step-by-Step Block, Comparison Table Block, Pros and Cons Block, FAQ Block, Listicle Block)
- Generative Engine Optimization (GEO) Patterns (Statistic Citation Block, Expert Quote Block, Authoritative Claim Block, Self-Contained Answer Block, Evidence Sandwich Block)
- Domain-Specific GEO Tactics (Technology Content, Health/Medical Content, Financial Content, Legal Content, Business/Marketing Content)
- Voice Search Optimization (Question Formats for Voice, Voice-Optimized Answer Structure)
## Answer Engine Optimization (AEO) Patterns
These patterns help content appear in featured snippets, AI Overviews, voice search results, and answer boxes.
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# AI SEO by Content Type
Tactical guidance for optimizing specific content types for AI search citation. These tactics work for non-Google AI engines (ChatGPT, Claude, Perplexity, Copilot) and don't hurt Google AI Overviews / AI Mode.
For the cross-cutting strategy, see [SKILL.md](../SKILL.md).
---
## SaaS Product Pages
**Goal:** Get cited in "What is [category]?" and "Best [category]" queries.
**Optimize:**
- Clear product description in first paragraph (what it does, who it's for)
- Feature comparison tables (you vs. category, not just competitors)
- Specific metrics ("processes 10,000 transactions/sec" not "blazing fast")
- Customer count or social proof with numbers
- Pricing transparency (AI cites pages with visible pricing) — add a `/pricing.md` file so AI agents can parse your plans without rendering your page (see "Machine-Readable Files" in the main skill)
- FAQ section addressing common buyer questions
---
## Blog Content
**Goal:** Get cited as an authoritative source on topics in your space.
**Optimize:**
- One clear target query per post (match heading to query)
- Definition in first paragraph for "What is" queries
- Original data, research, or expert quotes
- "Last updated" date visible
- Author bio with relevant credentials
- Internal links to related product/feature pages
---
## Comparison / Alternative Pages
**Goal:** Get cited in "[X] vs [Y]" and "Best [X] alternatives" queries.
**Optimize:**
- Structured comparison tables (not just prose)
- Fair and balanced (AI penalizes obviously biased comparisons)
- Specific criteria with ratings or scores
- Updated pricing and feature data
- Cite the `competitors` skill for building these pages
---
## Documentation / Help Content
**Goal:** Get cited in "How to [X] with [your product]" queries.
**Optimize:**
- Step-by-step format with numbered lists
- Code examples where relevant
- HowTo schema markup
- Screenshots with descriptive alt text
- Clear prerequisites and expected outcomes
---
## Local Business / Ecom (Google emphasis)
Google's AI features pull from product feeds and business profiles for local + ecom queries. Optimize:
- **Merchant Center feeds** kept current with accurate inventory, pricing, attributes
- **Google Business Profile** complete with hours, services, photos, posts, Q&A answered
- **Reviews** — recent + sufficient volume; respond to reviews to signal active management
- **Service area schema** for local services
- **Business Agent** (where available) for conversational customer engagement
@@ -0,0 +1,152 @@
# How Each AI Platform Picks Sources
Each AI search platform has its own search index, ranking logic, and content preferences. This guide covers what matters for getting cited on each one.
Sources cited throughout: Princeton GEO study (KDD 2024), SE Ranking domain authority study, ZipTie content-answer fit analysis.
---
## The Fundamentals
Every AI platform shares three baseline requirements:
1. **Your content must be in their index** — Each platform uses a different search backend (Google, Bing, Brave, or their own). If you're not indexed, you can't be cited.
2. **Your content must be crawlable** — AI bots need access via robots.txt. Block the bot, lose the citation.
3. **Your content must be extractable** — AI systems pull passages, not pages. Clear structure and self-contained paragraphs win.
Beyond these basics, each platform weights different signals. Here's what matters and where.
---
## Google AI Overviews
Google AI Overviews pull from Google's own index and lean heavily on E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness). They appear in roughly 45% of Google searches.
**What makes Google AI Overviews different:** They already have your traditional SEO signals — backlinks, page authority, topical relevance. The additional AI layer adds a preference for content with cited sources and structured data. Research shows that including authoritative citations in your content correlates with a 132% visibility boost, and writing with an authoritative (not salesy) tone adds another 89%.
**Importantly, AI Overviews don't just recycle the traditional Top 10.** Only about 15% of AI Overview sources overlap with conventional organic results. Pages that wouldn't crack page 1 in traditional search can still get cited if they have strong structured data and clear, extractable answers.
**What to focus on:**
- Schema markup is the single biggest lever — Article, FAQPage, HowTo, and Product schemas give AI Overviews structured context to work with (30-40% visibility boost)
- Build topical authority through content clusters with strong internal linking
- Include named, sourced citations in your content (not just claims)
- Author bios with real credentials matter — E-E-A-T is weighted heavily
- Get into Google's Knowledge Graph where possible (an accurate Wikipedia entry helps)
- Target "how to" and "what is" query patterns — these trigger AI Overviews most often
---
## ChatGPT
ChatGPT's web search draws from a Bing-based index. It combines this with its training knowledge to generate answers, then cites the web sources it relied on.
**What makes ChatGPT different:** Domain authority matters more here than on other AI platforms. An SE Ranking analysis of 129,000 domains found that authority and credibility signals account for roughly 40% of what determines citation, with content quality at about 35% and platform trust at 25%. Sites with very high referring domain counts (350K+) average 8.4 citations per response, while sites with slightly lower trust scores (91-96 vs 97-100) drop from 8.4 to 6 citations.
**Freshness is a major differentiator.** Content updated within the last 30 days gets cited about 3.2x more often than older content. ChatGPT clearly favors recent information.
**The most important signal is content-answer fit** — a ZipTie analysis of 400,000 pages found that how well your content's style and structure matches ChatGPT's own response format accounts for about 55% of citation likelihood. This is far more important than domain authority (12%) or on-page structure (14%) alone. Write the way ChatGPT would answer the question, and you're more likely to be the source it cites.
**Where ChatGPT looks beyond your site:** Wikipedia accounts for 7.8% of all ChatGPT citations, Reddit for 1.8%, and Forbes for 1.1%. Brand official sites are cited frequently but third-party mentions carry significant weight.
**What to focus on:**
- Invest in backlinks and domain authority — it's the strongest baseline signal
- Update competitive content at least monthly
- Structure your content the way ChatGPT structures its answers (conversational, direct, well-organized)
- Include verifiable statistics with named sources
- Clean heading hierarchy (H1 > H2 > H3) with descriptive headings
---
## Perplexity
Perplexity always cites its sources with clickable links, making it the most transparent AI search platform. It combines its own index with Google's and runs results through multiple reranking passes — initial relevance retrieval, then traditional ranking factor scoring, then ML-based quality evaluation that can discard entire result sets if they don't meet quality thresholds.
**What makes Perplexity different:** It's the most "research-oriented" AI search engine, and its citation behavior reflects that. Perplexity maintains curated lists of authoritative domains (Amazon, GitHub, major academic sites) that get inherent ranking boosts. It uses a time-decay algorithm that evaluates new content quickly, giving fresh publishers a real shot at citation.
**Perplexity has unique content preferences:**
- **FAQ Schema (JSON-LD)** — Pages with FAQ structured data get cited noticeably more often
- **PDF documents** — Publicly accessible PDFs (whitepapers, research reports) are prioritized. If you have authoritative PDF content gated behind a form, consider making a version public.
- **Publishing velocity** — How frequently you publish matters more than keyword targeting
- **Self-contained paragraphs** — Perplexity prefers atomic, semantically complete paragraphs it can extract cleanly
**What to focus on:**
- Allow PerplexityBot in robots.txt
- Implement FAQPage schema on any page with Q&A content
- Host PDF resources publicly (whitepapers, guides, reports)
- Add Article schema with publication and modification timestamps
- Write in clear, self-contained paragraphs that work as standalone answers
- Build deep topical authority in your specific niche
---
## Microsoft Copilot
Copilot is embedded across Microsoft's ecosystem — Edge, Windows, Microsoft 365, and Bing Search. It relies entirely on Bing's index, so if Bing hasn't indexed your content, Copilot can't cite it.
**What makes Copilot different:** The Microsoft ecosystem connection creates unique optimization opportunities. Mentions and content on LinkedIn and GitHub provide ranking boosts that other platforms don't offer. Copilot also puts more weight on page speed — sub-2-second load times are a clear threshold.
**What to focus on:**
- Submit your site to Bing Webmaster Tools (many sites only submit to Google Search Console)
- Use IndexNow protocol for faster indexing of new and updated content
- Optimize page speed to under 2 seconds
- Write clear entity definitions — when your content defines a term or concept, make the definition explicit and extractable
- Build presence on LinkedIn (publish articles, maintain company page) and GitHub if relevant
- Ensure Bingbot has full crawl access
---
## Claude
Claude uses Brave Search as its search backend when web search is enabled — not Google, not Bing. This is a completely different index, which means your Brave Search visibility directly determines whether Claude can find and cite you.
**What makes Claude different:** Claude is extremely selective about what it cites. While it processes enormous amounts of content, its citation rate is very low — it's looking for the most factually accurate, well-sourced content on a given topic. Data-rich content with specific numbers and clear attribution performs significantly better than general-purpose content.
**What to focus on:**
- Verify your content appears in Brave Search results (search for your brand and key terms at search.brave.com)
- Allow ClaudeBot and anthropic-ai user agents in robots.txt
- Maximize factual density — specific numbers, named sources, dated statistics
- Use clear, extractable structure with descriptive headings
- Cite authoritative sources within your content
- Aim to be the most factually accurate source on your topic — Claude rewards precision
---
## Allowing AI Bots in robots.txt
If your robots.txt blocks an AI bot, that platform can't cite your content. Here are the user agents to allow:
```
User-agent: GPTBot # OpenAI — powers ChatGPT search
User-agent: ChatGPT-User # ChatGPT browsing mode
User-agent: PerplexityBot # Perplexity AI search
User-agent: ClaudeBot # Anthropic Claude
User-agent: anthropic-ai # Anthropic Claude (alternate)
User-agent: Google-Extended # Google Gemini and AI Overviews
User-agent: Bingbot # Microsoft Copilot (via Bing)
Allow: /
```
**Training vs. search:** Some AI bots are used for both model training and search citation. If you want to be cited but don't want your content used for training, your options are limited — GPTBot handles both for OpenAI. However, you can safely block **CCBot** (Common Crawl) without affecting any AI search citations, since it's only used for training dataset collection.
---
## Where to Start
If you're optimizing for AI search for the first time, focus your effort where your audience actually is:
**Start with Google AI Overviews** — They reach the most users (45%+ of Google searches) and you likely already have Google SEO foundations in place. Add schema markup, include cited sources in your content, and strengthen E-E-A-T signals.
**Then address ChatGPT** — It's the most-used standalone AI search tool for tech and business audiences. Focus on freshness (update content monthly), domain authority, and matching your content structure to how ChatGPT formats its responses.
**Then expand to Perplexity** — Especially valuable if your audience includes researchers, early adopters, or tech professionals. Add FAQ schema, publish PDF resources, and write in clear, self-contained paragraphs.
**Copilot and Claude are lower priority** unless your audience skews enterprise/Microsoft (Copilot) or developer/analyst (Claude). But the fundamentals — structured content, cited sources, schema markup — help across all platforms.
**Actions that help everywhere:**
1. Allow all AI bots in robots.txt
2. Implement schema markup (FAQPage, Article, Organization at minimum)
3. Include statistics with named sources in your content
4. Update content regularly — monthly for competitive topics
5. Use clear heading structure (H1 > H2 > H3)
6. Keep page load time under 2 seconds
7. Add author bios with credentials
@@ -1,7 +1,8 @@
---
name: analytics-tracking
version: 1.0.0
description: When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
name: analytics
description: When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "attribution," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For A/B test measurement, see ab-testing.
metadata:
version: 2.0.0
---
# Analytics Tracking
@@ -11,7 +12,7 @@ You are an expert in analytics implementation and measurement. Your goal is to h
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before implementing tracking, understand:
@@ -302,6 +303,7 @@ For implementation, see the [tools registry](../../tools/REGISTRY.md). Key analy
## Related Skills
- **ab-test-setup**: For experiment tracking
- **ab-testing**: For experiment tracking
- **seo-audit**: For organic traffic analysis
- **page-cro**: For conversion optimization (uses this data)
- **cro**: For conversion optimization (uses this data)
- **revops**: For pipeline metrics, CRM tracking, and revenue attribution
+90
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@@ -0,0 +1,90 @@
{
"skill_name": "analytics",
"evals": [
{
"id": 1,
"prompt": "Help me set up analytics tracking for our B2B SaaS product. We use GA4 and GTM. We need to track signups, feature usage, and upgrade events.",
"expected_output": "Should check for product-marketing.md first. Should apply the 'track for decisions' principle — ask what decisions the tracking will inform. Should use the event naming convention (object_action, lowercase with underscores). Should define essential events for SaaS: signup_completed, trial_started, feature_used, plan_upgraded, etc. Should provide GA4 implementation details with proper event parameters. Should include GTM data layer push examples. Should organize output as a tracking plan with event name, trigger, parameters, and purpose for each event.",
"assertions": [
"Checks for product-marketing.md",
"Applies 'track for decisions' principle",
"Uses object_action naming convention",
"Defines essential SaaS events (signup, feature usage, upgrade)",
"Provides GA4 implementation details",
"Includes GTM data layer examples",
"Output follows tracking plan format"
],
"files": []
},
{
"id": 2,
"prompt": "What UTM parameters should we use? We run ads on Google, Meta, and LinkedIn, plus send a weekly newsletter and post on LinkedIn organically.",
"expected_output": "Should apply the UTM parameter strategy framework. Should define consistent UTM conventions: source (google, meta, linkedin, newsletter), medium (cpc, paid-social, email, organic-social), campaign (naming convention with date or identifier). Should provide specific UTM examples for each channel mentioned. Should warn about common UTM mistakes (inconsistent casing, redundant parameters, missing medium). Should recommend a UTM tracking spreadsheet or naming convention document.",
"assertions": [
"Applies UTM parameter strategy",
"Defines source, medium, and campaign conventions",
"Provides specific UTM examples for each channel",
"Uses consistent naming conventions (lowercase)",
"Warns about common UTM mistakes",
"Recommends tracking documentation"
],
"files": []
},
{
"id": 3,
"prompt": "our tracking seems broken — we're seeing duplicate events and our conversion numbers in GA4 don't match what our database shows. help?",
"expected_output": "Should trigger on casual phrasing. Should apply the debugging and validation framework. Should systematically check for common issues: duplicate GTM tags firing, missing event deduplication, incorrect trigger conditions, cross-domain tracking issues, consent mode filtering. Should provide specific debugging steps: use GA4 DebugView, GTM Preview mode, browser developer tools. Should address the GA4 vs database discrepancy (common causes: consent mode, ad blockers, client-side vs server-side tracking, session timeout differences).",
"assertions": [
"Triggers on casual phrasing",
"Applies debugging and validation framework",
"Checks for duplicate tag firing",
"Provides specific debugging tools (GA4 DebugView, GTM Preview)",
"Addresses GA4 vs database discrepancy",
"Lists common causes of data mismatches",
"Provides systematic troubleshooting steps"
],
"files": []
},
{
"id": 4,
"prompt": "We're launching an e-commerce store and need to set up tracking from scratch. What events do we absolutely need?",
"expected_output": "Should reference the essential events by site type, specifically e-commerce. Should define the e-commerce event taxonomy: product_viewed, product_added_to_cart, cart_viewed, checkout_started, checkout_step_completed, purchase_completed, product_removed_from_cart. Should include enhanced e-commerce parameters (item_id, item_name, price, quantity, etc.). Should follow object_action naming convention. Should organize as a tracking plan with priorities (must-have vs nice-to-have).",
"assertions": [
"References essential events for e-commerce site type",
"Defines full e-commerce event taxonomy",
"Includes enhanced e-commerce parameters",
"Follows object_action naming convention",
"Organizes by priority (must-have vs nice-to-have)",
"Provides tracking plan format output"
],
"files": []
},
{
"id": 5,
"prompt": "We need to make sure our tracking is GDPR compliant. We have European users and we're using GA4, Hotjar, and Facebook Pixel.",
"expected_output": "Should apply the privacy and compliance framework. Should address GDPR requirements for each tool: consent before tracking, consent management platform (CMP) setup, GA4 consent mode configuration, conditional loading of Hotjar and Facebook Pixel. Should recommend a consent hierarchy (necessary, analytics, marketing). Should provide GTM implementation for consent-based tag firing. Should mention data retention settings in GA4. Should address cookie banner requirements.",
"assertions": [
"Applies privacy and compliance framework",
"Addresses GDPR requirements specifically",
"Recommends consent management platform",
"Covers GA4 consent mode configuration",
"Addresses conditional loading for each tool",
"Provides consent hierarchy",
"Mentions data retention settings"
],
"files": []
},
{
"id": 6,
"prompt": "Help me set up tracking for our A/B test. We want to measure which version of our pricing page converts better.",
"expected_output": "Should recognize this overlaps with A/B test setup, not just analytics tracking. Should defer to or cross-reference the ab-testing skill for the experiment design, hypothesis, and statistical analysis. May help with the tracking implementation (events to fire, parameters to include) but should make clear that ab-testing is the right skill for the experiment framework.",
"assertions": [
"Recognizes overlap with A/B test setup",
"References or defers to ab-testing skill",
"May help with tracking implementation specifics",
"Does not attempt to design the full experiment"
],
"files": []
}
]
}
@@ -2,6 +2,15 @@
Comprehensive list of events to track by business type and context.
## Contents
- Marketing Site Events (navigation & engagement, CTA & form interactions, conversion events)
- Product/App Events (onboarding, core usage, errors & support)
- Monetization Events (pricing & checkout, subscription management)
- E-commerce Events (browsing, cart, checkout, post-purchase)
- B2B / SaaS Specific Events (team & collaboration, integration events, account events)
- Event Properties (Parameters)
- Funnel Event Sequences
## Marketing Site Events
### Navigation & Engagement
@@ -2,6 +2,16 @@
Detailed implementation guide for Google Analytics 4.
## Contents
- Configuration (data streams, enhanced measurement events, recommended events)
- Custom Events (gtag.js implementation, Google Tag Manager)
- Conversions Setup (creating conversions, conversion values)
- Custom Dimensions and Metrics (when to use, setup steps, examples)
- Audiences (creating audiences, audience examples)
- Debugging (DebugView, real-time reports, common issues)
- Data Quality (filters, cross-domain tracking, session settings)
- Integration with Google Ads (linking, audience export)
## Configuration
### Data Streams
@@ -2,6 +2,16 @@
Detailed guide for implementing tracking via Google Tag Manager.
## Contents
- Container Structure (tags, triggers, variables)
- Naming Conventions
- Data Layer Patterns
- Common Tag Configurations (GA4 configuration tag, GA4 event tag, Facebook pixel)
- Preview and Debug
- Workspaces and Versioning
- Consent Management
- Advanced Patterns (tag sequencing, exception handling, custom JavaScript variables)
## Container Structure
### Tags
+312
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@@ -0,0 +1,312 @@
---
name: aso
description: "When the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO audit,' 'app store optimization,' 'optimize my app listing,' 'improve app visibility,' 'app store ranking,' 'audit my listing,' 'why aren't people downloading my app,' 'improve my app conversion,' 'keyword optimization for app,' or 'compare my app to competitors.' Use when the user shares an App Store or Google Play URL and wants to improve it."
metadata:
version: 2.0.0
---
# ASO Audit
Analyze App Store and Google Play listings against ASO best practices. Fetches
live listing data, scores metadata, visuals, and ratings, then produces a
prioritized action plan.
## When to Use
- User shares an App Store or Google Play URL
- User asks to audit or optimize an app listing
- User wants to compare their app against competitors
- User asks about app store ranking, visibility, or download conversion
## Before Auditing
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
## Phase 1 — Identify Store & Fetch
### Detect store type from URL
```
Apple: apps.apple.com/{country}/app/{name}/id{digits}
Google: play.google.com/store/apps/details?id={package}
```
If the user gives an app name instead of a URL, search the web for:
`site:apps.apple.com "{app name}"` or `site:play.google.com "{app name}"`
### Fetch the listing
Use WebFetch to retrieve the listing page. Extract every available field:
**Apple App Store fields:**
- App name (title) — 30 char limit
- Subtitle — 30 char limit
- Description (long) — not indexed for search, but matters for conversion
- Promotional text — 170 chars, updatable without new release
- Category (primary + secondary)
- Screenshots (count, order, caption text)
- Preview video (presence, duration)
- Rating (average + count)
- Recent reviews (visible ones)
- Price / in-app purchases
- Developer name
- Last updated date
- Version history notes
- Age rating
- Size
- Languages / localizations listed
- In-app events (if any visible)
**Google Play fields:**
- App name (title) — 30 char limit
- Short description — 80 char limit
- Full description — 4,000 char limit, IS indexed for search
- Category + tags
- Feature graphic (presence)
- Screenshots (count, order)
- Preview video (presence)
- Rating (average + count)
- Recent reviews (visible ones)
- Price / in-app purchases
- Developer name
- Last updated date
- What's new text
- Downloads range
- Content rating
- Data safety section
- Languages listed
If WebFetch returns incomplete data (stores render client-side), note gaps and
work with what's available. Ask the user to paste missing fields if critical.
### Visual asset assessment
WebFetch cannot extract screenshot images or caption text. **Take a screenshot
of the listing page** to get visual data:
1. Navigate to the listing URL and capture a full-page screenshot
2. Assess the screenshot for: icon quality, screenshot count, caption text,
messaging quality, preview video presence, feature graphic (Google Play)
3. If browser tools are unavailable, ask the user to share a screenshot of the
listing page
**Promotional text (Apple):** This 170-char field appears above the description
but is often indistinguishable from it in scraped HTML. If you cannot confirm
its presence, note this and recommend the user check App Store Connect.
---
## Phase 1.5 — Assess Brand Maturity
Before scoring, classify the app into one of three tiers. This determines how
you interpret "textbook ASO" deviations — a deliberate brand choice by a
household name is not the same as a missed opportunity by an unknown app.
### Tier definitions
| Tier | Signals | Examples |
| --------------- | ------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------- |
| **Dominant** | Household name, 1M+ ratings, top-10 in category, near-universal brand recognition. Users search by brand name, not generic keywords. | Instagram, Uber, Spotify, WhatsApp, Netflix |
| **Established** | Well-known in their category, 100K+ ratings, strong organic installs, recognized brand but not universally known. | Strava, Notion, Duolingo, Cash App, Calm |
| **Challenger** | Building awareness, <100K ratings, needs discovery through keywords and ASO tactics. Most apps fall here. | Your app, most indie/startup apps |
### How tier affects scoring
**Dominant apps** get adjusted scoring in these areas:
- **Title:** Brand-only or brand-first titles are valid (score 8+ if brand is the keyword). These apps don't need generic keyword discovery.
- **Description:** Score purely on conversion quality, not keyword presence. If the app is a household name, a well-crafted brand description beats a keyword-stuffed one.
- **Visual Assets:** Lifestyle/brand photography instead of UI demos is a legitimate conversion strategy. No video is acceptable if the product is hard to demo in 30s or brand awareness is near-universal.
- **What's New:** Generic release notes at weekly+ cadence are acceptable (score 8+). At scale, detailed changelogs have minimal ROI and risk backlash.
- **In-app events:** Missing events for utility apps with massive install bases (Uber, WhatsApp) is not a penalty. These apps don't need discovery help.
- **Localization:** Score relative to actual market, not absolute count. A US-only fintech with 2 languages (English + Spanish) is appropriately localized.
**Established apps** get partial adjustment:
- Brand-first titles are fine but should still include 1-2 keywords
- Strategic description choices get benefit of the doubt
- Other dimensions scored normally
**Challenger apps** are scored strictly against textbook ASO best practices — every character, screenshot, and keyword matters.
**Key principle:** Before docking points, ask: "Is this a mistake or a deliberate
choice by a team that has data I don't?" If the app has 1M+ ratings and a
dedicated ASO team, assume their choices are data-informed unless clearly wrong.
---
## Phase 2 — Score Each Dimension
Score each dimension 0-10 using the criteria in `references/scoring-criteria.md`.
Apply the brand maturity tier adjustments from Phase 1.5.
Reference files for platform specs and benchmarks:
- `references/apple-specs.md` — Official Apple character limits, screenshot/video specs, CPP/PPO rules, rejection triggers
- `references/google-play-specs.md` — Official Google Play limits, screenshot specs, Android Vitals thresholds, policies
- `references/benchmarks.md` — Conversion data, rating impact, video lift, screenshot behavior, CPP/event benchmarks
### Dimensions and Weights
| # | Dimension | Weight | What It Covers |
| --- | -------------------- | ------ | ------------------------------------------------------------------------- |
| 1 | Title & Subtitle | 20% | Character usage, keyword presence, clarity, brand + keyword balance |
| 2 | Description | 15% | First 3 lines, keyword density (Google), CTA, structure, promotional text |
| 3 | Visual Assets | 25% | Screenshot count/quality/messaging, video, icon, feature graphic |
| 4 | Ratings & Reviews | 20% | Average rating, volume, recency, developer responses |
| 5 | Metadata & Freshness | 10% | Category choice, update recency, localization count, data safety |
| 6 | Conversion Signals | 10% | Price positioning, IAP transparency, social proof, download range |
**Final score** = weighted sum, out of 100.
### Score interpretation
| Score | Grade | Meaning |
| ------ | ----- | --------------------------------------------------------- |
| 85-100 | A | Well-optimized; focus on A/B testing and iteration |
| 70-84 | B | Good foundation; clear opportunities to improve |
| 50-69 | C | Significant gaps; prioritized fixes will have high impact |
| 30-49 | D | Major optimization needed across multiple dimensions |
| 0-29 | F | Listing needs a complete overhaul |
---
## Phase 3 — Competitor Comparison (Optional)
If the user provides competitor URLs or asks for comparison:
1. Fetch 2-3 top competitors in the same category
2. Run the same scoring on each
3. Build a comparison table highlighting where the user's app is weaker/stronger
4. Identify keyword gaps — terms competitors rank for that the user's app doesn't target
If no competitors are specified, suggest the user provide 2-3 or offer to search
for top apps in their category.
---
## Phase 4 — Generate Report
Use the template in `references/report-template.md` to structure the output.
The report must include:
1. **Score card** — table with all 6 dimensions, scores, and grade
2. **Top 3 quick wins** — changes that take <1 hour and have highest impact
3. **Detailed findings** — per-dimension breakdown with specific issues and fixes
4. **Keyword suggestions** — based on title/description analysis and competitor gaps
5. **Visual asset recommendations** — specific screenshot/video improvements
6. **Priority action plan** — ordered list of changes by impact vs effort
### Report rules
- Every recommendation must be **specific and actionable** ("Change subtitle from X to Y" not "Improve subtitle")
- Include character counts for all text recommendations
- Flag platform-specific differences (Apple vs Google) when relevant
- Note what CANNOT be assessed without paid tools (search volume, exact rankings)
- When suggesting keyword changes, explain WHY each keyword matters
---
## Platform-Specific Rules
### Apple App Store — Key Facts
- Title (30 chars) + Subtitle (30 chars) + Keyword field (100 **bytes**, hidden) = indexed text
- Keywords field is bytes not chars — Arabic/CJK use 2-3 bytes per char
- Long description is NOT indexed for search — optimize for conversion only
- Promotional text (170 chars) does NOT affect search (Apple confirmed)
- Never repeat words across title/subtitle/keyword field (Apple indexes each word once)
- Keyword field: commas, no spaces ("photo,editor,filter" not "photo, editor, filter")
- Screenshots: up to 10 per device. First 3 visible in search — 90% never scroll past 3rd
- Screenshot captions indexed since June 2025 (AI extraction)
- In-app events: max 10 published at once, max 31 days each. Indexed and appear in search
- Custom Product Pages (up to 70) in organic search since July 2025. +5.9% avg conversion lift
- App preview video: up to 3, 15-30s each. Autoplays muted — +20-40% conversion lift
- SKStoreReviewController: max 3 prompts per 365 days
- Apple has human editorial curation — quality and design matter more
- See `references/apple-specs.md` for full specs, dimensions, and rejection triggers
### Google Play — Key Facts
- Title (30 chars) + Short description (80 chars) + Full description (4,000 chars) = indexed text
- Full description IS indexed — target 2-3% keyword density naturally
- No hidden keyword field — all keywords must be in visible text
- Google NLP/semantic understanding — keyword stuffing detected and penalized
- Prohibited in title: emojis, ALL CAPS, "best"/"#1"/"free", CTAs (enforced since 2021)
- Screenshots: min 2, **max 8** per device (not 10 like Apple)
- Feature graphic (1024x500, exact) required for featured placements
- Video does NOT autoplay — only ~6% of users tap play (low ROI vs iOS)
- Android Vitals directly affect ranking: crash >1.09% or ANR >0.47% = reduced visibility
- Promotional Content: submit 14 days early for featuring. Apps see 2x explore acquisitions
- Custom Store Listings: up to 50 (can target churned users, specific countries, ad campaigns)
- Store Listing Experiments: test up to 3 variants, run 7+ days, 1 experiment at a time
- See `references/google-play-specs.md` for full specs and policy details
### What Apple Indexes vs What Google Indexes
| Field | Apple Indexed? | Google Indexed? |
| --------------------- | ---------------- | ---------------------- |
| Title | Yes | Yes (strongest signal) |
| Subtitle / Short desc | Yes | Yes |
| Keyword field | Yes (hidden) | Does not exist |
| Long description | No | Yes (heavily) |
| Screenshot captions | Yes (since 2025) | No |
| In-app events | Yes | N/A (LiveOps instead) |
| Developer name | No | Partial |
| IAP names | Yes | Yes |
---
## Common Issues Checklist
Flag these if found. Items marked _(tier-dependent)_ should be evaluated against
the app's brand maturity tier — they may be deliberate choices for Dominant apps.
**Always flag (all tiers):**
- [ ] Rating below 4.0
- [ ] Last update > 3 months ago
- [ ] Google Play description has no keyword strategy (under 1% density)
- [ ] Google Play missing feature graphic
- [ ] Apple keyword field likely has repeated words (inferred from title+subtitle)
- [ ] Category mismatch — app would face less competition in a different category
- [ ] Fewer than 5 screenshots
**Flag for Challenger/Established only** _(not mistakes for Dominant apps):_
- [ ] Title wastes characters on brand name only (no keywords) _(Dominant: brand IS the keyword)_
- [ ] Subtitle/short description duplicates title keywords
- [ ] Description first 3 lines are generic _(Dominant: may be brand-voice choice)_
- [ ] No preview video _(Dominant: may be rational if product is hard to demo)_
- [ ] Screenshots are just UI dumps with no messaging/captions _(Dominant: lifestyle/brand shots may convert better)_
- [ ] Only 1-2 localizations _(score relative to actual market, not absolute count)_
- [ ] No in-app events or promotional content _(Dominant utility apps may not need discovery help)_
**Flag for all tiers but note context:**
- [ ] No developer responses to negative reviews _(note volume — responding at 10M+ reviews is a different challenge than at 1K)_
- [ ] Generic "What's New" text _(acceptable at weekly+ release cadence for Established/Dominant)_
---
## Task-Specific Questions
1. What is the App Store or Google Play URL?
2. Is this your app or a competitor's?
3. What category does the app compete in?
4. Do you have competitor URLs to compare against?
5. Are you focused on search visibility, conversion rate, or both?
6. Do you have access to App Store Connect or Google Play Console data?
---
## Related Skills
- **cro**: For optimizing the conversion of web-based landing pages that drive app installs
- **ad-creative**: For creating App Store and Google Play ad creatives
- **analytics**: For setting up install attribution and in-app event tracking
- **customer-research**: For understanding user needs and language to inform listing copy
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{
"skill_name": "aso",
"evals": [
{
"id": 1,
"prompt": "Here's our app on the App Store: https://apps.apple.com/us/app/example/id123456789. Can you audit our listing and tell me what to fix?",
"expected_output": "Should check for product-marketing.md first. Should detect this is an Apple App Store URL and run the full ASO audit workflow. Should fetch the listing and extract Apple-specific fields (title 30 chars, subtitle 30 chars, description, promotional text 170 chars, category, screenshots, video, ratings). Should classify the app's brand maturity tier (Dominant/Established/Challenger) before scoring. Should score all 6 dimensions (Title & Subtitle 20%, Description 15%, Visual Assets 25%, Ratings & Reviews 20%, Metadata & Freshness 10%, Conversion Signals 10%) with weighted total out of 100 and a grade. Should output a scorecard, top 3 quick wins, detailed findings, keyword suggestions, visual recommendations, and prioritized action plan with specific 'change X from Y to Z' recommendations including character counts.",
"assertions": [
"Checks for product-marketing.md",
"Identifies as Apple App Store URL",
"Classifies brand maturity tier",
"Scores all 6 dimensions with weights",
"Provides scorecard with grade",
"Lists top 3 quick wins",
"Recommendations include character counts",
"Recommendations are specific (X to Y format)"
],
"files": []
},
{
"id": 2,
"prompt": "We're a small fintech startup with about 5,000 downloads. Our Play Store listing has a 2.8 rating and we haven't updated the description in 8 months. Help us figure out what to fix first.",
"expected_output": "Should recognize this as a Challenger-tier Google Play app. Should immediately flag the always-flag issues: rating below 4.0 (critical), last update >3 months ago. Should apply strict Challenger scoring against textbook best practices. Should focus on Google Play-specific guidance: full description is indexed for search (target 2-3% keyword density), no hidden keyword field, feature graphic required (1024x500), max 8 screenshots, Android Vitals affect ranking. Should prioritize fixing the rating issue (response strategy, in-app review prompts) and refreshing the description with keyword strategy. Should recommend updating the listing soon to break the >3 month stale signal.",
"assertions": [
"Identifies as Google Play app",
"Classifies as Challenger tier",
"Flags rating below 4.0",
"Flags stale update (>3 months)",
"Notes Google Play indexes full description",
"Mentions feature graphic requirement",
"Recommends keyword strategy in description",
"Prioritizes rating improvement"
],
"files": []
},
{
"id": 3,
"prompt": "Instagram's App Store listing has just 'Instagram' as the title and barely any keywords. Should they fix that?",
"expected_output": "Should classify Instagram as a Dominant-tier app and apply tier-adjusted scoring. Should explain that brand-only titles are valid for Dominant apps (score 8+ if brand IS the keyword) because users search by brand name, not generic keywords. Should NOT flag this as a missed opportunity. Should explain the key principle: 'Is this a mistake or a deliberate choice by a team that has data I don't?' Should note that other dimensions (screenshots, description, what's new) are also evaluated against tier — lifestyle/brand photography and brief release notes are acceptable for Dominant apps. Should contrast with what would be a problem for a Challenger app.",
"assertions": [
"Classifies Instagram as Dominant tier",
"Explains brand-only titles are valid for Dominant",
"Does NOT flag the title as a problem",
"Contrasts Dominant vs Challenger treatment",
"Cites the 'mistake vs deliberate choice' principle"
],
"files": []
},
{
"id": 4,
"prompt": "Compare our app https://apps.apple.com/us/app/ourapp/id111 against these two competitors: https://apps.apple.com/us/app/competitor1/id222 and https://apps.apple.com/us/app/competitor2/id333",
"expected_output": "Should run Phase 3 competitor comparison. Should fetch and score all three apps with the same 6-dimension framework. Should build a side-by-side comparison table highlighting where the user's app is weaker or stronger across each dimension. Should identify keyword gaps — terms competitors target that the user's app doesn't. Should produce a prioritized list of competitor-informed changes. Should call out platform-specific considerations consistently across all three apps.",
"assertions": [
"Scores all 3 apps with same framework",
"Builds comparison table",
"Identifies where user's app is weaker",
"Identifies keyword gaps vs competitors",
"Produces competitor-informed action list"
],
"files": []
},
{
"id": 5,
"prompt": "We only have 3 screenshots and no preview video. Does this really matter that much?",
"expected_output": "Should explain that screenshot count and video presence are heavily weighted in the Visual Assets dimension (25% of total score). Should cite specific data: Apple allows up to 10 screenshots per device with the first 3 visible in search, and 90% of users never scroll past the 3rd. Should note Apple screenshot captions are indexed for search since June 2025. Should cite the conversion benchmark: app preview video delivers +20-40% conversion lift on iOS (note Google Play video has lower ROI — only ~6% tap play). Should recommend adding 5-8 screenshots minimum with caption text, and a 15-30s preview video. Should flag fewer than 5 screenshots as an always-flag issue across all tiers.",
"assertions": [
"Notes Visual Assets is 25% of score",
"Cites first 3 screenshots are most important",
"Mentions screenshot caption indexing (Apple, 2025)",
"Cites video conversion lift benchmark",
"Notes Google Play video has lower ROI",
"Recommends specific screenshot count and video specs",
"Flags <5 screenshots as always-flag issue"
],
"files": []
},
{
"id": 6,
"prompt": "Should I run a Custom Product Page experiment on iOS for our paid search campaigns?",
"expected_output": "Should reference Apple-specific facts: Custom Product Pages (CPP) — up to 70 — appear in organic search since July 2025 with +5.9% average conversion lift. Should explain CPPs let you test variants of screenshots, video, and promotional text against specific traffic sources (e.g., paid search keywords). Should recommend matching CPP variants to the keyword intent for the campaign. Should cross-reference the ab-testing skill for proper experiment design and the ads skill for the campaign side. Should note this is an iOS-only feature (Google Play has Store Listing Experiments and Custom Store Listings as equivalents).",
"assertions": [
"Identifies Custom Product Pages as iOS-specific",
"Cites +5.9% conversion lift benchmark",
"Explains CPP can match traffic source intent",
"Cross-references ab-testing or ads skill",
"Notes Google Play equivalents"
],
"files": []
}
]
}
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# Apple App Store — Official Specs & Guidelines
All data from developer.apple.com as of March 2026.
## Character Limits
| Field | Limit | Indexed for Search? | Notes |
| ----------------------- | ---------------- | ------------------------ | -------------------------------------------------------- |
| App Name | 30 chars (min 2) | Yes | Must be unique; no trademarks, competitor names, pricing |
| Subtitle | 30 chars | Yes | No unverifiable claims |
| Keywords | 100 bytes | Yes (hidden) | Commas, no spaces between terms |
| Description | 4,000 chars | **No** | Plain text only, no HTML |
| Promotional Text | 170 chars | **No** (Apple confirmed) | Updatable without new version |
| What's New | 4,000 chars | No | Required for all versions after first |
| IAP Name | 35 chars | Yes | Appears in search |
| IAP Description | 55 chars | No | |
| In-App Event Name | 30 chars | Yes | Title case required |
| In-App Event Short Desc | 50 chars | Yes | Sentence case |
| In-App Event Long Desc | 120 chars | No | Sentence case |
**Keywords field is 100 bytes, not 100 characters.** Non-Latin scripts (Arabic,
Chinese, Japanese, Korean) use 2-3 bytes per character, reducing effective
keyword count significantly.
## Screenshot Specs
| Device | Required? | Count | Dimensions (portrait) |
| ---------------- | ------------- | ----- | -------------------------- |
| 6.9" iPhone | **Required** | 1-10 | 1260 x 2736 |
| 13" iPad | **Required** | 1-10 | 2064 x 2752 |
| Mac | If applicable | 1-10 | Up to 2880 x 1800 (16:10) |
| Apple Watch | If applicable | 1-10 | Varies by model |
| Apple TV | If applicable | 1-10 | 1920 x 1080 or 3840 x 2160 |
| Apple Vision Pro | If applicable | 1-10 | 3840 x 2160 |
- Formats: JPEG, PNG
- Apple auto-scales from required base sizes to smaller devices
## App Preview Video Specs
- **Count:** Up to 3 per app
- **Duration:** 15-30 seconds
- **Max file size:** 500 MB
- **Codecs:** H.264 (10-12 Mbps, up to 30fps) or ProRes 422 HQ
- **Audio:** Stereo, 256 kbps AAC or PCM, 44.1/48 kHz
- **Formats:** .mov, .m4v, .mp4
- **Behavior:** Autoplays muted on product page (iOS 11+)
## Custom Product Pages (CPPs)
- **Max:** 70 additional pages (plus 1 default)
- **Customizable:** Screenshots, promotional text, app previews, deep links (iOS 18+)
- **Keywords:** Each keyword combo must be unique to a single CPP
- **Review:** Submitted to App Review independently of app updates
- **Organic search:** CPPs appear in organic search results since July 2025
- **Performance:** +2.5 percentage points higher conversion on average vs default
## Product Page Optimization (A/B Testing)
- **Treatments:** Up to 3 vs original
- **Testable:** App icons, screenshots, app preview videos
- **NOT testable:** Title, subtitle, description, keywords
- **Concurrent tests:** 1 per app
- **Max duration:** 90 days
- **Icon constraint:** All icon variants must be in the published app binary
- **Confidence:** Apple recommends 90% threshold (Bayesian method)
- **Cannot modify** a test once started
## In-App Events
- **Max approved:** 15 in App Store Connect at once
- **Max published:** 10 on App Store simultaneously
- **Max duration:** 31 days per event
- **Pre-event promotion:** Up to 14 days before start
- **Badge types:** Challenge, Competition, Live Event, Major Update, New Season, Premiere, Special Event
**Event card image:** 16:9, min 1920x1080, max 3840x2160
**Event details image:** 9:16, min 1080x1920, max 2160x3840
**Not suitable:** Repetitive daily tasks, price promotions without new content, general awareness campaigns.
## Ratings & Reviews
- **SKStoreReviewController:** Max 3 prompts per 365-day period
- System controls display frequency (may show fewer than 3)
- Do not use custom buttons to request reviews
- Developers can respond to all reviews in App Store Connect
- Summary rating is territory-specific
## Metadata Rejection Triggers (App Review Guidelines)
| Guideline | Rejection Trigger |
| --------- | ------------------------------------------------------------------------- |
| 2.3.1 | Hidden features, misleading marketing, false pricing |
| 2.3.2 | Not disclosing IAPs in description/screenshots |
| 2.3.3 | Screenshots that don't show app in use (only splash/login) |
| 2.3.4 | Preview videos using non-app content |
| 2.3.5 | Wrong category selected |
| 2.3.7 | Keyword stuffing: trademarks, competitor names, pricing, irrelevant terms |
| 2.3.8 | Metadata not appropriate for all audiences (must be 4+ rated) |
| 2.3.10 | Other platform names/imagery (Android, etc.) in metadata |
| 2.3.12 | Generic What's New for significant changes |
| 2.3.13 | Inaccurate in-app event metadata |
Sources: developer.apple.com/app-store/product-page/,
developer.apple.com/app-store/search/,
developer.apple.com/app-store/review/guidelines/
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# ASO Benchmarks & Conversion Data
Industry data from AppTweak, SplitMetrics, Sensor Tower, and others. Updated March 2026.
## Conversion Rate Benchmarks by Category
**Average CVR (page view to install):**
- iOS overall: **25.0%**
- Google Play overall: **27.3%**
| Category | iOS CVR | Google Play CVR |
| ----------------- | -------------- | --------------- |
| Navigation | 115%\* | -- |
| Auto & Vehicles | -- | 70.5% |
| Business | 66.7% | -- |
| Music (Games) | -- | 45.0% |
| Utilities & Tools | -- | 36.8% |
| Shopping | -- | 27.7% |
| Health & Fitness | -- | 23.2% |
| Finance | -- | 19.7% |
| Food & Drink | -- | 13.1% |
| Games (Board) | 1.2% | 7.3% |
| Games (overall) | 3-5% realistic | -- |
\*Above 100% = some users install from search without visiting product page.
Source: AppTweak 2025 Benchmarks Report (H1 2024 data, US market)
## Rating Impact on Conversion
| Rating Change | Conversion Impact |
| -------------------------- | --------------------------------------- |
| 3.0 to 4.0 stars | **+89%** |
| 4.0 to 4.5 stars | **+20-30%** |
| 4.3 to 4.6 stars | **+22-28%** (Finance, Health) |
| 0.4-star gap vs competitor | **~25% lost installs** from same search |
| 3-star vs 5-star app | **50% fewer conversions** for 3-star |
**Critical thresholds:**
- **4.0 stars** = minimum for Apple featuring, user trust, conversion viability
- **4.5+ stars** = optimal zone. Sweet spot: 4.1-4.9
- **5.0 stars** can look suspicious to users
- **Below 3.5** = sharp visibility drop on both stores
- **79% of users** check ratings before downloading
- **50% reject** apps below 3 stars
Sources: AppFollow, MobileAction, Sensor Tower, Troof.ai
## Preview Video Impact
**iOS:** +20-40% conversion lift (video autoplays on product page)
**Google Play:** Minimal lift (only ~6% of visitors tap to play)
- Autoplay introduced in iOS 11 caused **+47% conversion jump**
- Users who watch video are **2x more likely to install**
- Average watch time: **4-6.5 seconds** (first 5 seconds are critical)
- 50%+ of viewers watch to the end
**Takeaway:** Video is high-ROI on iOS, low-ROI on Google Play.
Sources: StoreMaven, SplitMetrics, Leanplum
## Screenshot Impact
- **90% of users** do not scroll past the 3rd screenshot
- Average scroll rate: only **17%**
- Users spend **6-10 seconds** scanning before deciding
- **First screenshot decides everything**
- Well-designed screenshots lift conversion **20-35%**
- A/B test winners see **10-25% improvement**
- **Optimal count:** 4-5 for utility apps, 5-6 for complex apps
- More than 6: diminishing returns, can cause decision paralysis
- Top 200 apps update screenshots **2-4 times/year**
- Top Google Play games update visuals **up to 8x/year**
- **57% of top games** A/B tested screenshots at least 2x in 2024
Sources: AppTweak, ASOMobile, Sensor Tower
## Custom Product Pages (Apple CPPs)
- Average conversion lift: **+5.9% for apps**, **+3.5% for games**
- Best cases: up to **+8.6%**
- Organic referral: **+2.5 percentage points** (156% lift vs 1.6% baseline)
- Apple Ads CPP CVR: **55.8% in 2024** (up from 42.1% in 2023)
- **Only 31% of apps** and **26% of games** use CPPs (low adoption = opportunity)
- Screenshot reordering alone produced **+16.6% installs** in one case
Sources: AppTweak, SplitMetrics, MobileAction
## Custom Store Listings (Google Play CSLs)
- Up to **50 custom versions** per app
- Case study (Lockwood/Avakin Life): **+57% CVR** over 2 months
- Can target inactive/churned users (28+ days no activity)
Source: Phiture, MobileAction
## In-App Events (Apple)
- **55% of top 200 apps** use them regularly
- +**15-20% more impressions** from editorial/browse placements
- One case: **+124% surge** in total impressions
- One case: **+50% impressions AND first-time downloads**
- Search CVR uptick: **+10.3%**
- Re-downloads increase: **+15.5%**
- **Boost is short-lived** -- KPIs drop to baseline when event ends
- Optimal: **2-4 active events per month**
Sources: Phiture, AppTweak, Appalize
## Promotional Content (Google Play)
- Apps with featuring see **2x explore acquisitions** (official Google)
- +2% 28-day active users and +4% revenue on average
Source: Google Play Console documentation
## A/B Test Impact Thresholds
| Improvement | Classification |
| ----------- | ---------------------------------- |
| >10% | Strong winner -- apply immediately |
| 5-10% | Meaningful winner |
| 2-5% | Marginal winner |
| <2% | Noise -- not significant |
Source: SplitMetrics, MobileAction
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# Google Play Store — Official Specs & Guidelines
All data from support.google.com and developer.android.com as of March 2026.
## Character Limits
| Field | Limit | Indexed? | Notes |
| ----------------- | ----------- | ---------------------- | ------------------------------------- |
| App Title | 30 chars | Yes (strongest signal) | Reduced from 50 in Sept 2021 |
| Short Description | 80 chars | Yes | Visible without expanding |
| Full Description | 4,000 chars | **Yes (heavily)** | Google NLP indexes entire text |
| Developer Name | 64 chars | Partial | Same emoji/caps restrictions as title |
## Prohibited in Metadata (enforced since Sept 2021)
**Title, Icon, Developer Name:**
- Emojis, emoticons, repeated special characters
- ALL CAPS (unless registered brand)
- Performance claims: "top," "best," "#1," "free," "no ads"
- Misleading store performance or endorsement
- Calls-to-action: "update now," "download now"
**Short Description:**
- Same performance claims as title
- Calls-to-action
- Unattributed testimonials
**Screenshots, Feature Graphic, Video:**
- Time-sensitive taglines
- Calls-to-action ("Download now," "Play now")
- Must authentically showcase app functionality
## Screenshot Specs
| Device | Min | Max | Aspect Ratio | Min Resolution | Max Long Edge |
| ---------- | ----- | ----- | ------------ | -------------- | ------------- |
| Phone | **2** | **8** | 9:16 or 16:9 | 320px any side | 3,840px |
| 7" Tablet | 4 | 8 | 9:16 or 16:9 | 1,080px short | 7,680px |
| 10" Tablet | 4 | 8 | 9:16 or 16:9 | 1,080px short | 7,680px |
| Chromebook | 4 | 8 | 9:16 or 16:9 | 1,080px short | 7,680px |
| Wear OS | 1 | 8 | **1:1** | 384x384 | 3,840px |
| Android TV | 1 | 8 | **16:9** | 1,920x1,080 | 3,840px |
- **Recommended phone size:** 1080x1920 (portrait)
- **Format:** JPEG or 24-bit PNG (no alpha)
- **Max file size:** 8 MB each
**Note:** Google Play max is 8 screenshots per device, not 10 like Apple.
## Feature Graphic
- **Dimensions:** 1024 x 500 px (exact, required)
- **Format:** JPEG or 24-bit PNG (no alpha)
- Displayed at top of listing and in featured placements
## App Icon
- **Dimensions:** 512 x 512 px
- **Format:** 32-bit PNG (with alpha)
- **Max file size:** 1,024 KB
- **Shape:** Full square (Google applies 30% corner radius automatically)
- **Prohibited:** Ranking claims, download counts, deal text, emoji
## Preview Video
- **Format:** YouTube URL (public or unlisted)
- **Duration:** 30 seconds to 2 minutes recommended
- No ads, no monetization, must be embeddable, not age-restricted
- **Does NOT autoplay** (only ~6% of visitors tap to play)
## Store Listing Experiments (A/B Testing)
- **Variants:** Up to 3 per experiment (plus control)
- **Testable:** Icon, feature graphic, screenshots, video, short description, full description
- **Concurrent:** Cannot run more than 1 default graphics experiment simultaneously
- **Audience:** Signed-in Google Play users only
- **Metrics:** First-time installers + retained first-time installers (1-day retention)
- **Duration:** Run at least 7 days (weekday/weekend variance)
- **Localized:** Test across up to 5 languages simultaneously
## Custom Store Listings
- **Max:** 50 per app (100 for Play partners)
- **Customizable:** Title, short/full description, icon, screenshots, feature graphic, video
- **Targeting:** Country/region, pre-registration, install state, Google Ads campaigns, inactive/churned users (28+ days)
- **2025 addition:** Gemini AI auto-generates text for CSLs in Play Console
## Promotional Content (LiveOps)
| Type | Description | Duration |
| ----------------- | ------------------------------ | -------------------- |
| Offers | Discounts, free items, bundles | Up to 28 days |
| Events | Time-limited in-app events | Must have time limit |
| Major Update | Significant new features | Max 1 week |
| Crossover (games) | Cross-game/IP collaboration | Varies |
- Submit **4+ days** before start (standard review)
- Submit **14+ days** before for featuring requests
- **Impact:** "Over twice as many explore acquisitions during featuring" (official Google)
## Android Vitals — Ranking Thresholds
Apps exceeding these thresholds get **reduced visibility** in search and recommendations.
| Metric | Overall Threshold | Per-Device Threshold |
| ---------------------------- | ----------------- | -------------------- |
| User-Perceived Crash Rate | **1.09%** | 8% |
| User-Perceived ANR Rate | **0.47%** | 8% |
| Excessive Partial Wake Locks | 5% | N/A |
**Consequences:** Reduced search visibility, warning labels on listing, quality alerts to users before install.
**Recovery:** Google checks daily using 28-day rolling average.
## Search Ranking — Official Factors
Google confirms these affect ranking:
1. **Metadata relevance** — Title carries most weight. NLP scans title + short desc + full desc.
2. **App quality** — Android Vitals (crash/ANR rates)
3. **Ratings and reviews** — Star rating + review text. 85% of featured apps have 4.0+
4. **Install volume and velocity** — Total installs + daily/weekly frequency
5. **Engagement and retention** — Session frequency, duration, retention rates
6. **Update frequency** — Regular updates signal active maintenance
7. **Localization** — Regional keyword/visual adaptation. 59% of US apps localize titles.
Sources: support.google.com/googleplay/android-developer/answer/4448378,
support.google.com/googleplay/android-developer/answer/9898842,
developer.android.com/topic/performance/vitals
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# ASO Audit Report Template
Use this structure for all ASO audit reports.
---
## Header
```
# ASO Audit: {App Name}
**Store:** {Apple App Store / Google Play}
**URL:** {listing URL}
**Audit date:** {date}
**Brand tier:** {Dominant / Established / Challenger} — {one-line justification}
**Overall Score:** {score}/100 (Grade: {A/B/C/D/F})
```
---
## Score Card
```
| Dimension | Score | Grade | Key Issue |
|-----------|-------|-------|-----------|
| Title & Subtitle | X/10 | {grade} | {one-line summary} |
| Description | X/10 | {grade} | {one-line summary} |
| Visual Assets | X/10 | {grade} | {one-line summary} |
| Ratings & Reviews | X/10 | {grade} | {one-line summary} |
| Metadata & Freshness | X/10 | {grade} | {one-line summary} |
| Conversion Signals | X/10 | {grade} | {one-line summary} |
| **OVERALL** | **{weighted}/100** | **{grade}** | |
```
Grade scale per dimension: 9-10 = A, 7-8 = B, 5-6 = C, 3-4 = D, 1-2 = F
---
## Top 3 Quick Wins
Highest-impact changes that take under 1 hour:
```
### 1. {Action verb} — {specific change}
**Impact:** {High/Medium} | **Effort:** {<15 min / <30 min / <1 hour}
**Current:** {what it is now}
**Recommended:** {exact replacement, with character count}
**Why:** {one sentence explaining the impact}
### 2. ...
### 3. ...
```
---
## Detailed Findings
### Title & Subtitle Analysis
```
**Current title:** "{title}" ({X}/30 chars used)
**Current subtitle/short desc:** "{subtitle}" ({X}/30 or /80 chars used)
**Issues found:**
- {issue 1}
- {issue 2}
**Recommended title:** "{new title}" ({X}/30 chars) — {rationale}
**Recommended subtitle:** "{new subtitle}" ({X}/30 or /80 chars) — {rationale}
```
### Description Analysis
```
**First 3 lines (above fold):**
> {quoted text}
**Issues found:**
- {issue 1}
- {issue 2}
**Keyword density (Google Play only):** {X}% — target: 2-3%
**Top keywords found:** {keyword1} (Xn), {keyword2} (Xn), ...
**Missing high-value keywords:** {keyword1}, {keyword2}, ...
**Recommended first 3 lines:**
> {rewritten text}
```
### Visual Assets Analysis
```
**Screenshots:** {count} ({store} shows first {3/all} in search)
**Preview video:** {Yes/No}
**Icon assessment:** {description}
**Feature graphic (Google Play):** {Yes/No}
**Screenshot audit:**
1. {screenshot 1 description} — {pass/issue}
2. {screenshot 2 description} — {pass/issue}
...
**Recommendations:**
- {specific visual change 1}
- {specific visual change 2}
```
### Ratings & Reviews Analysis
```
**Average rating:** {X.X} stars ({count} ratings)
**Recent review sentiment:** {Positive/Mixed/Negative}
**Common complaints:** {theme1}, {theme2}
**Developer responses:** {Yes, active / Sporadic / None}
**Recommendations:**
- {specific action 1}
- {specific action 2}
```
### Metadata & Freshness
```
**Last updated:** {date} ({X days/months ago})
**Localizations:** {count} languages
**Category:** {current category}
**In-app events/LiveOps:** {Yes/No}
**Recommendations:**
- {specific action 1}
- {specific action 2}
```
### Conversion Signals
```
**Price model:** {Free / Freemium / Paid}
**IAP count:** {count}
**Downloads (Google Play):** {range}
**Social proof visible:** {awards, press, badges — or "none"}
**Recommendations:**
- {specific action 1}
- {specific action 2}
```
---
## Keyword Suggestions
```
| Keyword | Rationale | Where to Place | Priority |
|---------|-----------|----------------|----------|
| {keyword} | {why this keyword} | {title/subtitle/description/keyword field} | {High/Med/Low} |
| ... | ... | ... | ... |
```
Note: Without paid ASO tools, exact search volume is unavailable. These
suggestions are based on category analysis, competitor metadata, and semantic
relevance. Validate with AppTweak, Sensor Tower, or MobileAction for volume data.
---
## Competitor Comparison (if applicable)
```
| Metric | {Your App} | {Competitor 1} | {Competitor 2} |
|--------|-----------|----------------|----------------|
| Title keywords | ... | ... | ... |
| Rating | ... | ... | ... |
| Screenshots | ... | ... | ... |
| Video | ... | ... | ... |
| Description keywords | ... | ... | ... |
| Last updated | ... | ... | ... |
| Overall ASO score | ... | ... | ... |
```
---
## Priority Action Plan
Ordered by impact (high to low), grouped by effort:
```
### Do This Week (Quick Wins)
1. {action} — {expected impact}
2. {action} — {expected impact}
### Do This Month (Medium Effort)
3. {action} — {expected impact}
4. {action} — {expected impact}
### Plan for Next Quarter (High Effort)
5. {action} — {expected impact}
6. {action} — {expected impact}
```
---
## Limitations
Always include this section:
> **What this audit cannot measure without paid ASO tools:**
>
> - Exact keyword search volume and difficulty scores
> - Historical keyword ranking positions
> - Download and revenue estimates
> - Apple keyword field contents (hidden from public view)
> - Install conversion rate data (only available to app owner in console)
> - A/B test results from previous experiments
>
> For these data points, consider using AppTweak ($69/mo), Sensor Tower, or
> MobileAction ($69/mo).
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# ASO Scoring Criteria
Score each dimension 0-10 using the rubrics below.
**Apply brand maturity tier adjustments** from Phase 1.5 of the main skill.
---
## Brand Maturity Adjustments (apply to all dimensions)
Before scoring, determine the app's tier: **Dominant**, **Established**, or **Challenger**.
**Dominant apps (Instagram, Uber, Spotify, WhatsApp, Netflix):**
- Brand-only titles score 8+ (the brand IS the keyword)
- Lifestyle/brand screenshots score same as captioned UI screenshots
- Generic What's New at weekly+ cadence scores 8+
- Missing in-app events for utility apps is not a penalty
- Description scored on conversion quality only, not keyword presence
- Localization scored relative to actual market footprint
- Missing preview video is acceptable if brand awareness is near-universal
**Established apps (Duolingo, Strava, Notion, Calm, Cash App):**
- Brand-first titles with 1-2 keywords score normally
- Strategic description/visual choices get benefit of the doubt
- All other dimensions scored normally
**Challenger apps (most apps):**
- Scored strictly against textbook ASO — every character and feature matters
**Key principle:** Before docking points, ask: "Is this a mistake or a data-informed
choice by a team with more information than I have?"
---
## 1. Title & Subtitle (Weight: 20%)
**Challenger rubric:**
| Score | Criteria |
| ----- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 9-10 | Brand + high-value keyword in title, complementary keywords in subtitle, no word repetition across fields, near max character usage, instantly communicates app purpose |
| 7-8 | Good keyword presence, minor character waste (5+ unused chars), clear purpose |
| 5-6 | Has keywords but poor placement, some repetition between fields, purpose somewhat clear |
| 3-4 | Title is brand-only or generic, subtitle missing or weak, poor character usage |
| 1-2 | No keyword strategy, title doesn't communicate purpose, major character waste |
| 0 | Cannot assess (data unavailable) |
**Dominant/Established adjustment:** Brand-only titles (e.g., "Instagram") are
valid if the brand has high search volume. Score 8+ for Dominant apps where
brand recognition eliminates the need for generic keywords. Evaluate whether
unused characters represent waste or intentional simplicity.
**Check for:**
- Characters used vs limit (title: 30, subtitle/short desc: 30/80). "Near max" = within 3 chars of the limit (27+/30, 77+/80)
- Primary keyword in title
- Keyword duplication between title and subtitle
- Whether app purpose is immediately clear
- Unnecessary words (articles, prepositions) consuming space
- Special characters or claims ("#1", "best") that risk rejection (Apple)
---
## 2. Description (Weight: 15%)
### Apple App Store
| Score | Criteria |
| ----- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
| 9-10 | First 3 lines hook with clear value prop, structured with features/benefits/social proof/CTA, promotional text actively used, compelling and scannable |
| 7-8 | Good opening, decent structure, could improve scannability or CTA |
| 5-6 | Generic opening ("Welcome to..."), some structure, missing CTA or social proof |
| 3-4 | Wall of text, no clear value prop above fold, no promotional text |
| 1-2 | Minimal or boilerplate description, no effort |
| 0 | Cannot assess |
### Google Play
| Score | Criteria |
| ----- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| 9-10 | Keywords in first 3 sentences, 2-3% natural density throughout, HTML formatting used, structured sections, strong CTA, keywords feel natural |
| 7-8 | Good keyword presence, some structure, density slightly off (1-2% or 3-4%) |
| 5-6 | Keywords present but sparse (<1%) or stuffed (>5%), weak structure |
| 3-4 | No keyword strategy visible, poor formatting, wall of text |
| 1-2 | Minimal description, no keywords, no structure |
| 0 | Cannot assess |
**Check for:**
- First 3 lines quality (visible before "Read More")
- Feature-benefit framing (not just feature lists)
- Social proof (downloads, awards, press mentions)
- Call to action
- Keyword density (Google Play only - count target keywords / total words)
- HTML formatting usage (Google Play)
- Promotional text presence and quality (Apple)
---
## 3. Visual Assets (Weight: 25%)
| Score | Criteria |
| ----- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 9-10 | 8-10 screenshots with clear messaging/captions, preview video present, screenshots tell a story in sequence, each communicates one benefit, icon is distinctive and memorable |
| 7-8 | 6-7 screenshots with captions, good icon, no video OR good video but some screenshot messaging unclear |
| 5-6 | 5+ screenshots but weak/no captions, basic icon, no video, screenshots are UI dumps |
| 3-4 | 3-4 screenshots, no captions, generic icon, no storytelling |
| 1-2 | Fewer than 3 screenshots, or screenshots are raw unedited UI, poor icon |
| 0 | Cannot assess |
**Check for:**
- Screenshot count (minimum 5, ideal 8-10)
- Caption/overlay text on screenshots (one message per screen, 5-7 words max)
- First 3 screenshots (highest conversion impact on Apple)
- Preview video presence and quality
- Icon distinctiveness (no text in icon, bold shapes, stands out)
- Feature graphic presence (Google Play - mandatory for featured placements)
- Screenshot storytelling flow (do they tell a coherent story?)
- Localized visual assets (for non-English markets)
- Caption keywords (Apple - indexed since June 2025)
---
## 4. Ratings & Reviews (Weight: 20%)
| Score | Criteria |
| ----- | ------------------------------------------------------------------------------------------------------ |
| 9-10 | 4.5+ stars, 10K+ ratings, recent reviews positive, developer responds to negatives, steady review flow |
| 7-8 | 4.0-4.4 stars, 1K+ ratings, mostly positive recent reviews, some developer responses |
| 5-6 | 3.5-3.9 stars, 500+ ratings, mixed recent reviews, no developer responses |
| 3-4 | 3.0-3.4 stars, <500 ratings, negative themes in recent reviews |
| 1-2 | Below 3.0 stars, few ratings, no developer engagement, visible complaints |
| 0 | No ratings yet or cannot assess |
**Check for:**
- Average rating (target: 4.0+ minimum, 4.5+ ideal)
- Total rating count
- Recent review sentiment (last 5-10 visible reviews)
- Common complaint themes (bugs, crashes, pricing, UX)
- Developer response presence and quality
- Rating trend (improving or declining, if visible)
- Review recency (fresh reviews signal active user base)
---
## 5. Metadata & Freshness (Weight: 10%)
| Score | Criteria |
| ----- | ------------------------------------------------------------------------------------------------------------------------- |
| 9-10 | Updated within last month, 10+ localizations, optimal category choice, in-app events/LiveOps active, data safety complete |
| 7-8 | Updated within 2 months, 5+ localizations, good category, data safety present |
| 5-6 | Updated within 3 months, 2-4 localizations, acceptable category |
| 3-4 | Updated 3-6 months ago, 1-2 localizations, possibly wrong category |
| 1-2 | Not updated in 6+ months, single language, poor category choice |
| 0 | Cannot assess |
**Check for:**
- Last update date and recency
- Number of supported languages/localizations
- Category selection (is it the best fit? less competitive alternative?)
- In-app events (Apple) or promotional content (Google) presence
- Data safety / privacy nutrition label completeness
- Age rating appropriateness
- Version history quality (do release notes communicate value?)
- What's New text quality
---
## 6. Conversion Signals (Weight: 10%)
| Score | Criteria |
| ----- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 9-10 | Clear value before download, transparent pricing/IAP, social proof visible (press, awards), download range suggests strong traction, developer credibility strong |
| 7-8 | Good value communication, pricing clear, some social proof |
| 5-6 | Value prop exists but weak, pricing unclear or IAP heavy, limited social proof |
| 3-4 | Unclear what user gets, confusing pricing, no social proof, low downloads visible |
| 1-2 | No value communication, suspicious pricing, app looks abandoned |
| 0 | Cannot assess |
**Check for:**
- Price transparency (free, freemium, paid - is it clear?)
- In-app purchase list quality (do IAP names communicate value?)
- Download range (Google Play - 10K+, 100K+, 1M+ signals trust)
- Developer name/brand recognition
- "Editors' Choice" or featured badges
- Press mentions or awards in description
- Related apps from same developer (portfolio trust signal)
- Privacy practices transparency
---
## Calculating Final Score
```
Final Score = (Title * 0.20) + (Description * 0.15) + (Visuals * 0.25)
+ (Ratings * 0.20) + (Metadata * 0.10) + (Conversion * 0.10)
Scale to 100: Final Score * 10
```
**Example:** Title: 7, Description: 6, Visuals: 8, Ratings: 9, Metadata: 5, Conversion: 7
```
(7 * 0.20) + (6 * 0.15) + (8 * 0.25) + (9 * 0.20) + (5 * 0.10) + (7 * 0.10)
= 1.4 + 0.9 + 2.0 + 1.8 + 0.5 + 0.7
= 7.3 → 73/100 → Grade: B
```
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---
name: churn-prevention
description: "When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers or wants to build systems to prevent it. For post-cancel win-back email sequences, see emails. For in-app upgrade paywalls, see paywalls."
metadata:
version: 2.0.0
---
# Churn Prevention
You are an expert in SaaS retention and churn prevention. Your goal is to help reduce both voluntary churn (customers choosing to cancel) and involuntary churn (failed payments) through well-designed cancel flows, dynamic save offers, proactive retention, and dunning strategies.
## Before Starting
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Current Churn Situation
- What's your monthly churn rate? (Voluntary vs. involuntary if known)
- How many active subscribers?
- What's the average MRR per customer?
- Do you have a cancel flow today, or does cancel happen instantly?
### 2. Billing & Platform
- What billing provider? (Stripe, Chargebee, Paddle, Recurly, Braintree)
- Monthly, annual, or both billing intervals?
- Do you support plan pausing or downgrades?
- Any existing retention tooling? (Churnkey, ProsperStack, Raaft)
### 3. Product & Usage Data
- Do you track feature usage per user?
- Can you identify engagement drop-offs?
- Do you have cancellation reason data from past churns?
- What's your activation metric? (What do retained users do that churned users don't?)
### 4. Constraints
- B2B or B2C? (Affects flow design)
- Self-serve cancellation required? (Some regulations mandate easy cancel)
- Brand tone for offboarding? (Empathetic, direct, playful)
---
## How This Skill Works
Churn has two types requiring different strategies:
| Type | Cause | Solution |
|------|-------|----------|
| **Voluntary** | Customer chooses to cancel | Cancel flows, save offers, exit surveys |
| **Involuntary** | Payment fails | Dunning emails, smart retries, card updaters |
Voluntary churn is typically 50-70% of total churn. Involuntary churn is 30-50% but is often easier to fix.
This skill supports three modes:
1. **Build a cancel flow** — Design from scratch with survey, save offers, and confirmation
2. **Optimize an existing flow** — Analyze cancel data and improve save rates
3. **Set up dunning** — Failed payment recovery with retries and email sequences
---
## Cancel Flow Design
### The Cancel Flow Structure
Every cancel flow follows this sequence:
```
Trigger → Survey → Dynamic Offer → Confirmation → Post-Cancel
```
**Step 1: Trigger**
Customer clicks "Cancel subscription" in account settings.
**Step 2: Exit Survey**
Ask why they're cancelling. This determines which save offer to show.
**Step 3: Dynamic Save Offer**
Present a targeted offer based on their reason (discount, pause, downgrade, etc.)
**Step 4: Confirmation**
If they still want to cancel, confirm clearly with end-of-billing-period messaging.
**Step 5: Post-Cancel**
Set expectations, offer easy reactivation path, trigger win-back sequence.
### Exit Survey Design
The exit survey is the foundation. Good reason categories:
| Reason | What It Tells You |
|--------|-------------------|
| Too expensive | Price sensitivity, may respond to discount or downgrade |
| Not using it enough | Low engagement, may respond to pause or onboarding help |
| Missing a feature | Product gap, show roadmap or workaround |
| Switching to competitor | Competitive pressure, understand what they offer |
| Technical issues / bugs | Product quality, escalate to support |
| Temporary / seasonal need | Usage pattern, offer pause |
| Business closed / changed | Unavoidable, learn and let go gracefully |
| Other | Catch-all, include free text field |
**Survey best practices:**
- 1 question, single-select with optional free text
- 5-8 reason options max (avoid decision fatigue)
- Put most common reasons first (review data quarterly)
- Don't make it feel like a guilt trip
- "Help us improve" framing works better than "Why are you leaving?"
### Dynamic Save Offers
The key insight: **match the offer to the reason.** A discount won't save someone who isn't using the product. A feature roadmap won't save someone who can't afford it.
**Offer-to-reason mapping:**
| Cancel Reason | Primary Offer | Fallback Offer |
|---------------|---------------|----------------|
| Too expensive | Discount (20-30% for 2-3 months) | Downgrade to lower plan |
| Not using it enough | Pause (1-3 months) | Free onboarding session |
| Missing feature | Roadmap preview + timeline | Workaround guide |
| Switching to competitor | Competitive comparison + discount | Feedback session |
| Technical issues | Escalate to support immediately | Credit + priority fix |
| Temporary / seasonal | Pause subscription | Downgrade temporarily |
| Business closed | Skip offer (respect the situation) | — |
### Save Offer Types
**Discount**
- 20-30% off for 2-3 months is the sweet spot
- Avoid 50%+ discounts (trains customers to cancel for deals)
- Time-limit the offer ("This offer expires when you leave this page")
- Show the dollar amount saved, not just the percentage
**Pause subscription**
- 1-3 month pause maximum (longer pauses rarely reactivate)
- 60-80% of pausers eventually return to active
- Auto-reactivation with advance notice email
- Keep their data and settings intact
**Plan downgrade**
- Offer a lower tier instead of full cancellation
- Show what they keep vs. what they lose
- Position as "right-size your plan" not "downgrade"
- Easy path back up when ready
**Feature unlock / extension**
- Unlock a premium feature they haven't tried
- Extend trial of a higher tier
- Works best for "not getting enough value" reasons
**Personal outreach**
- For high-value accounts (top 10-20% by MRR)
- Route to customer success for a call
- Personal email from founder for smaller companies
### Cancel Flow UI Patterns
```
┌─────────────────────────────────────┐
│ We're sorry to see you go │
│ │
│ What's the main reason you're │
│ cancelling? │
│ │
│ ○ Too expensive │
│ ○ Not using it enough │
│ ○ Missing a feature I need │
│ ○ Switching to another tool │
│ ○ Technical issues │
│ ○ Temporary / don't need right now │
│ ○ Other: [____________] │
│ │
│ [Continue] │
│ [Never mind, keep my subscription] │
└─────────────────────────────────────┘
↓ (selects "Too expensive")
┌─────────────────────────────────────┐
│ What if we could help? │
│ │
│ We'd love to keep you. Here's a │
│ special offer: │
│ │
│ ┌───────────────────────────────┐ │
│ │ 25% off for the next 3 months│ │
│ │ Save $XX/month │ │
│ │ │ │
│ │ [Accept Offer] │ │
│ └───────────────────────────────┘ │
│ │
│ Or switch to [Basic Plan] at │
│ $X/month → │
│ │
│ [No thanks, continue cancelling] │
└─────────────────────────────────────┘
```
**UI principles:**
- Keep the "continue cancelling" option visible (no dark patterns)
- One primary offer + one fallback, not a wall of options
- Show specific dollar savings, not abstract percentages
- Use the customer's name and account data when possible
- Mobile-friendly (many cancellations happen on mobile)
For detailed cancel flow patterns by industry and billing provider, see [references/cancel-flow-patterns.md](references/cancel-flow-patterns.md).
---
## Churn Prediction & Proactive Retention
The best save happens before the customer ever clicks "Cancel."
### Risk Signals
Track these leading indicators of churn:
| Signal | Risk Level | Timeframe |
|--------|-----------|-----------|
| Login frequency drops 50%+ | High | 2-4 weeks before cancel |
| Key feature usage stops | High | 1-3 weeks before cancel |
| Support tickets spike then stop | High | 1-2 weeks before cancel |
| Email open rates decline | Medium | 2-6 weeks before cancel |
| Billing page visits increase | High | Days before cancel |
| Team seats removed | High | 1-2 weeks before cancel |
| Data export initiated | Critical | Days before cancel |
| NPS score drops below 6 | Medium | 1-3 months before cancel |
### Health Score Model
Build a simple health score (0-100) from weighted signals:
```
Health Score = (
Login frequency score × 0.30 +
Feature usage score × 0.25 +
Support sentiment × 0.15 +
Billing health × 0.15 +
Engagement score × 0.15
)
```
| Score | Status | Action |
|-------|--------|--------|
| 80-100 | Healthy | Upsell opportunities |
| 60-79 | Needs attention | Proactive check-in |
| 40-59 | At risk | Intervention campaign |
| 0-39 | Critical | Personal outreach |
### Proactive Interventions
**Before they think about cancelling:**
| Trigger | Intervention |
|---------|-------------|
| Usage drop >50% for 2 weeks | "We noticed you haven't used [feature]. Need help?" email |
| Approaching plan limit | Upgrade nudge (not a wall — paywalls handles this) |
| No login for 14 days | Re-engagement email with recent product updates |
| NPS detractor (0-6) | Personal follow-up within 24 hours |
| Support ticket unresolved >48h | Escalation + proactive status update |
| Annual renewal in 30 days | Value recap email + renewal confirmation |
---
## Involuntary Churn: Payment Recovery
Failed payments cause 30-50% of all churn but are the most recoverable.
### The Dunning Stack
```
Pre-dunning → Smart retry → Dunning emails → Grace period → Hard cancel
```
### Pre-Dunning (Prevent Failures)
- **Card expiry alerts**: Email 30, 15, and 7 days before card expires
- **Backup payment method**: Prompt for a second payment method at signup
- **Card updater services**: Visa/Mastercard auto-update programs (reduces hard declines 30-50%)
- **Pre-billing notification**: Email 3-5 days before charge for annual plans
### Smart Retry Logic
Not all failures are the same. Retry strategy by decline type:
| Decline Type | Examples | Retry Strategy |
|-------------|----------|----------------|
| Soft decline (temporary) | Insufficient funds, processor timeout | Retry 3-5 times over 7-10 days |
| Hard decline (permanent) | Card stolen, account closed | Don't retry — ask for new card |
| Authentication required | 3D Secure, SCA | Send customer to update payment |
**Retry timing best practices:**
- Retry 1: 24 hours after failure
- Retry 2: 3 days after failure
- Retry 3: 5 days after failure
- Retry 4: 7 days after failure (with dunning email escalation)
- After 4 retries: Hard cancel with reactivation path
**Smart retry tip:** Retry on the day of the month the payment originally succeeded (if Day 1 worked before, retry on Day 1). Stripe Smart Retries handles this automatically.
### Dunning Email Sequence
| Email | Timing | Tone | Content |
|-------|--------|------|---------|
| 1 | Day 0 (failure) | Friendly alert | "Your payment didn't go through. Update your card." |
| 2 | Day 3 | Helpful reminder | "Quick reminder — update your payment to keep access." |
| 3 | Day 7 | Urgency | "Your account will be paused in 3 days. Update now." |
| 4 | Day 10 | Final warning | "Last chance to keep your account active." |
**Dunning email best practices:**
- Direct link to payment update page (no login required if possible)
- Show what they'll lose (their data, their team's access)
- Don't blame ("your payment failed" not "you failed to pay")
- Include support contact for help
- Plain text performs better than designed emails for dunning
### Recovery Benchmarks
| Metric | Poor | Average | Good |
|--------|------|---------|------|
| Soft decline recovery | <40% | 50-60% | 70%+ |
| Hard decline recovery | <10% | 20-30% | 40%+ |
| Overall payment recovery | <30% | 40-50% | 60%+ |
| Pre-dunning prevention | None | 10-15% | 20-30% |
For the complete dunning playbook with provider-specific setup, see [references/dunning-playbook.md](references/dunning-playbook.md).
---
## Metrics & Measurement
### Key Churn Metrics
| Metric | Formula | Target |
|--------|---------|--------|
| Monthly churn rate | Churned customers / Start-of-month customers | <5% B2C, <2% B2B |
| Revenue churn (net) | (Lost MRR - Expansion MRR) / Start MRR | Negative (net expansion) |
| Cancel flow save rate | Saved / Total cancel sessions | 25-35% |
| Offer acceptance rate | Accepted offers / Shown offers | 15-25% |
| Pause reactivation rate | Reactivated / Total paused | 60-80% |
| Dunning recovery rate | Recovered / Total failed payments | 50-60% |
| Time to cancel | Days from first churn signal to cancel | Track trend |
### Cohort Analysis
Segment churn by:
- **Acquisition channel** — Which channels bring stickier customers?
- **Plan type** — Which plans churn most?
- **Tenure** — When do most cancellations happen? (30, 60, 90 days?)
- **Cancel reason** — Which reasons are growing?
- **Save offer type** — Which offers work best for which segments?
### Cancel Flow A/B Tests
Test one variable at a time:
| Test | Hypothesis | Metric |
|------|-----------|--------|
| Discount % (20% vs 30%) | Higher discount saves more | Save rate, LTV impact |
| Pause duration (1 vs 3 months) | Longer pause increases return rate | Reactivation rate |
| Survey placement (before vs after offer) | Survey-first personalizes offers | Save rate |
| Offer presentation (modal vs full page) | Full page gets more attention | Save rate |
| Copy tone (empathetic vs direct) | Empathetic reduces friction | Save rate |
**How to run cancel flow experiments:** Use the **ab-testing** skill to design statistically rigorous tests. PostHog is a good fit for cancel flow experiments — its feature flags can split users into different flows server-side, and its funnel analytics track each step of the cancel flow (survey → offer → accept/decline → confirm). See the [PostHog integration guide](../../tools/integrations/posthog.md) for setup.
---
## Common Mistakes
- **No cancel flow at all** — Instant cancel leaves money on the table. Even a simple survey + one offer saves 10-15%
- **Making cancellation hard to find** — Hidden cancel buttons breed resentment and bad reviews. Many jurisdictions require easy cancellation (FTC Click-to-Cancel rule)
- **Same offer for every reason** — A blanket discount doesn't address "missing feature" or "not using it"
- **Discounts too deep** — 50%+ discounts train customers to cancel-and-return for deals
- **Ignoring involuntary churn** — Often 30-50% of total churn and the easiest to fix
- **No dunning emails** — Letting payment failures silently cancel accounts
- **Guilt-trip copy** — "Are you sure you want to abandon us?" damages brand trust
- **Not tracking save offer LTV** — A "saved" customer who churns 30 days later wasn't really saved
- **Pausing too long** — Pauses beyond 3 months rarely reactivate. Set limits.
- **No post-cancel path** — Make reactivation easy and trigger win-back emails, because some churned users will want to come back
---
## Tool Integrations
For implementation, see the [tools registry](../../tools/REGISTRY.md).
### Retention Platforms
| Tool | Best For | Key Feature |
|------|----------|-------------|
| **Churnkey** | Full cancel flow + dunning | AI-powered adaptive offers, 34% avg save rate |
| **ProsperStack** | Cancel flows with analytics | Advanced rules engine, Stripe/Chargebee integration |
| **Raaft** | Simple cancel flow builder | Easy setup, good for early-stage |
| **Chargebee Retention** | Chargebee customers | Native integration, was Brightback |
### Billing Providers (Dunning)
| Provider | Smart Retries | Dunning Emails | Card Updater |
|----------|:------------:|:--------------:|:------------:|
| **Stripe** | Built-in (Smart Retries) | Built-in | Automatic |
| **Chargebee** | Built-in | Built-in | Via gateway |
| **Paddle** | Built-in | Built-in | Managed |
| **Recurly** | Built-in | Built-in | Built-in |
| **Braintree** | Manual config | Manual | Via gateway |
### Related CLI Tools
| Tool | Use For |
|------|---------|
| `stripe` | Subscription management, dunning config, payment retries |
| `customer-io` | Dunning email sequences, retention campaigns |
| `posthog` | Cancel flow A/B tests via feature flags, funnel analytics |
| `mixpanel` / `ga4` | Usage tracking, churn signal analysis |
| `segment` | Event routing for health scoring |
---
## Related Skills
- **emails**: For win-back email sequences after cancellation
- **paywalls**: For in-app upgrade moments and trial expiration
- **pricing**: For plan structure and annual discount strategy
- **onboarding**: For activation to prevent early churn
- **analytics**: For setting up churn signal events
- **ab-testing**: For testing cancel flow variations with statistical rigor
+93
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@@ -0,0 +1,93 @@
{
"skill_name": "churn-prevention",
"evals": [
{
"id": 1,
"prompt": "Our SaaS product has a 7% monthly churn rate and we need to bring it down. We're a $49/month project management tool with about 2,000 paying customers. Can you help us design a churn prevention strategy?",
"expected_output": "Should check for product-marketing.md first. Should address both voluntary and involuntary churn. Should design a cancel flow following the framework: trigger → exit survey → dynamic save offer → confirmation → post-cancel nurture. Should include the 7 exit survey categories and recommend dynamic save offers mapped to each cancellation reason. Should address dunning for involuntary churn (pre-dunning, smart retry, email sequence, grace period). Should recommend a health score model. Should provide prioritized implementation plan.",
"assertions": [
"Checks for product-marketing.md",
"Addresses both voluntary and involuntary churn",
"Designs cancel flow with proper stages",
"Includes exit survey with multiple categories",
"Maps save offers to cancellation reasons",
"Addresses dunning stack for payment recovery",
"Recommends health score model",
"Provides prioritized implementation plan"
],
"files": []
},
{
"id": 2,
"prompt": "We keep losing customers because their credit cards expire. About 15% of our churn is from failed payments. How do we fix this?",
"expected_output": "Should identify this as involuntary churn / payment recovery. Should apply the dunning stack framework: pre-dunning (card expiration reminders before failure), smart retry (retry logic based on failure reason), dunning email sequence (escalating urgency), grace period, and eventual cancellation. Should provide specific timing for each stage. Should recommend payment recovery tools and strategies (card updater services, backup payment methods). Should include recovery rate benchmarks.",
"assertions": [
"Identifies as involuntary churn / payment recovery",
"Applies dunning stack framework",
"Includes pre-dunning card expiration reminders",
"Includes smart retry logic",
"Provides dunning email sequence with escalating urgency",
"Recommends grace period before cancellation",
"Mentions card updater services or backup payment methods",
"Includes recovery benchmarks"
],
"files": []
},
{
"id": 3,
"prompt": "what should we show users when they click the cancel button? right now they just go straight to cancellation with no attempt to save them",
"expected_output": "Should trigger on casual phrasing. Should design the cancel flow: cancel button → exit survey → dynamic save offer → confirmation → post-cancel. Should detail the exit survey categories (too expensive, missing feature, switched to competitor, not using enough, technical issues, bad support, other). Should provide dynamic save offers matched to each reason (e.g., too expensive → discount offer, missing feature → roadmap update, not using enough → onboarding help). Should include copy recommendations for each screen. Should warn against dark patterns (making it impossible to cancel).",
"assertions": [
"Triggers on casual phrasing",
"Designs multi-step cancel flow",
"Includes exit survey with 7 categories",
"Provides dynamic save offers mapped to reasons",
"Includes copy recommendations",
"Warns against dark patterns",
"Includes confirmation and post-cancel steps"
],
"files": []
},
{
"id": 4,
"prompt": "How do we identify which customers are at risk of churning before they actually cancel? We want to be proactive.",
"expected_output": "Should apply the health score model framework. Should define health score components: product usage signals (login frequency, feature adoption, key action completion), engagement signals (support tickets, NPS responses, email engagement), and account signals (contract type, company growth, stakeholder changes). Should recommend scoring methodology (0-100 scale). Should define risk tiers and recommended interventions for each tier. Should suggest data sources and implementation approach.",
"assertions": [
"Applies health score model framework",
"Defines usage-based health signals",
"Defines engagement-based health signals",
"Defines account-based health signals",
"Recommends scoring methodology",
"Defines risk tiers with interventions",
"Suggests data sources and implementation"
],
"files": []
},
{
"id": 5,
"prompt": "Our exit survey shows that 40% of cancellations say 'too expensive' as the reason. What save offers should we try?",
"expected_output": "Should reference the dynamic save offers mapped to the 'too expensive' reason. Should suggest multiple offer types: temporary discount, downgrade to cheaper plan, annual billing discount, pause instead of cancel, extended trial of current plan. Should recommend testing different offers to find what works best. Should also dig deeper — 'too expensive' often masks other issues (not seeing value, not using enough features). Should suggest follow-up questions in the exit survey to get more specific.",
"assertions": [
"References save offers for 'too expensive' reason",
"Suggests multiple offer types (discount, downgrade, pause)",
"Recommends testing different offers",
"Notes that 'too expensive' often masks other issues",
"Suggests deeper follow-up questions",
"Provides specific save offer copy or structure"
],
"files": []
},
{
"id": 6,
"prompt": "We want to set up a win-back email sequence for customers who already cancelled. Can you help write those emails?",
"expected_output": "Should recognize this overlaps with email sequence work. Should defer to or cross-reference the emails skill for writing the actual email sequence. May provide churn-specific context (timing post-cancel, re-engagement hooks, win-back offer strategy) but should make clear that emails is the right skill for designing and writing the full email sequence.",
"assertions": [
"Recognizes overlap with email sequence work",
"References or defers to emails skill",
"May provide churn-specific context for the sequence",
"Does not attempt to write a full email sequence"
],
"files": []
}
]
}
@@ -0,0 +1,316 @@
# Cancel Flow Patterns
Detailed cancel flow patterns by business type, billing provider, and industry.
---
## Cancel Flow by Business Type
### B2C / Self-Serve SaaS
High volume, low touch. The flow must work without human intervention.
**Flow structure:**
```
Cancel button → Exit survey (1 question) → Dynamic offer → Confirm → Post-cancel
```
**Characteristics:**
- Fully automated, no human in the loop
- Quick — 2-3 screens maximum
- One offer + one fallback, not a menu of options
- Mobile-optimized (significant cancellations on mobile)
- Clear "continue cancelling" at every step
**Typical save rate:** 20-30%
**Example flow for a $29/mo productivity app:**
1. "What's the main reason?" → 6 options
2. Selected "Too expensive" → "Get 25% off for 3 months (save $21.75)"
3. Declined → "Or switch to our Starter plan at $12/mo"
4. Declined → "We're sorry to see you go. Your access continues until [date]."
---
### B2B / Team Plans
Lower volume, higher stakes. Personal outreach is worth the cost.
**Flow structure:**
```
Cancel button → Exit survey → Offer (or route to CS) → Confirm → Post-cancel
```
**Characteristics:**
- Route accounts above MRR threshold to customer success
- Show team impact ("Your 8 team members will lose access")
- Offer admin-to-admin call for enterprise accounts
- Longer consideration — allow "schedule a call" as a save option
- Require admin/owner role to cancel (not any team member)
**Typical save rate:** 30-45% (higher because of personal touch)
**MRR-based routing:**
| Account MRR | Cancel Flow |
|-------------|-------------|
| <$100/mo | Automated flow with offers |
| $100-$500/mo | Automated + flag for CS follow-up |
| $500-$2,000/mo | Route to CS before cancel completes |
| $2,000+/mo | Block self-serve cancel, require CS call |
---
### Freemium / Free-to-Paid
Users cancelling paid to return to free tier. Different psychology — they're not leaving, they're downgrading.
**Flow structure:**
```
Cancel button → "Switch to Free?" prompt → Exit survey (if still cancelling) → Offer → Confirm
```
**Characteristics:**
- Lead with the free tier as the first option (not a save offer)
- Show what they keep on free vs. what they lose
- The "save" is keeping them on free, not losing them entirely
- Track free-tier users for future re-upgrade campaigns
---
## Cancel Flow by Billing Interval
### Monthly Subscribers
- More price-sensitive, shorter commitment
- Discount offers work well (20-30% for 2-3 months)
- Pause is effective (1-2 months)
- Suggest annual plan at a discount as an alternative
**Offer priority:**
1. Discount (if reason = price)
2. Pause (if reason = not using / temporary)
3. Annual plan switch (if engaged but price-sensitive)
### Annual Subscribers
- Higher commitment, often cancelling for stronger reasons
- Prorate refund expectations matter
- Longer save window (they've already paid)
- Personal outreach more justified (higher LTV at stake)
**Offer priority:**
1. Pause remainder of term (if temporary)
2. Plan adjustment + credit for next renewal
3. Personal outreach from CS
4. Partial refund + downgrade (better than full refund + cancel)
**Refund handling:**
- Offer prorated refund if significant time remaining
- "Pause until renewal" if less than 3 months left
- Be generous — bad refund experiences create vocal detractors
---
## Save Offer Patterns
### The Discount Ladder
Don't lead with your biggest discount. Escalate:
```
Cancel click → 15% off → Still cancelling → 25% off → Still cancelling → Let them go
```
**Rules:**
- Maximum 2 discount offers per cancel session
- Never exceed 30% (higher trains cancel-for-discount behavior)
- Time-limit discounts (2-3 months, then full price resumes)
- Track discount accepters — if they cancel again at full price, don't re-offer
### The Pause Playbook
Pause is often better than a discount because it doesn't devalue your product.
**Implementation:**
| Setting | Recommendation |
|---------|---------------|
| Pause duration options | 1 month, 2 months, 3 months |
| Default selection | 1 month (shortest) |
| Maximum pause | 3 months (longer pauses rarely return) |
| During pause | Keep data, remove access |
| Reactivation | Auto-reactivate with 7-day advance email |
| Repeat pauses | Allow 1 pause per 12-month period |
**Pause reactivation sequence:**
- Day -7: "Your pause ends in 7 days. We've been busy — here's what's new."
- Day -1: "Welcome back tomorrow! Here's what's waiting for you."
- Day 0: "You're back! Here's a quick tour of what's new."
### The Downgrade Path
For multi-plan products, downgrade is the strongest save:
```
┌─────────────────────────────────────────┐
│ Before you go, what about right-sizing │
│ your plan? │
│ │
│ Current: Pro ($49/mo) │
│ │
│ ┌─────────────────────────────────┐ │
│ │ Switch to Starter ($19/mo) │ │
│ │ │ │
│ │ ✓ Keep: Projects, integrations │ │
│ │ ✗ Lose: Advanced analytics, │ │
│ │ team features │ │
│ │ │ │
│ │ [Switch to Starter] │ │
│ └─────────────────────────────────┘ │
│ │
│ [No thanks, continue cancelling] │
└─────────────────────────────────────────┘
```
**Downgrade best practices:**
- Show exactly what they keep and what they lose
- Use checkmarks and X marks for scanability
- Preserve their data even on the lower plan
- If they downgrade, don't show upgrade prompts for at least 30 days
### The Competitor Switch Handler
When the cancel reason is "switching to competitor":
1. **Ask which competitor** (optional, don't force it)
2. **Show a comparison** if you have one (see competitors skill)
3. **Offer a migration credit** ("We'll match their price for 3 months")
4. **Request a feedback call** ("15 minutes to understand what we're missing")
This data is gold for product and marketing teams.
---
## Post-Cancel Experience
What happens after cancel matters for:
- Win-back potential
- Word of mouth
- Review sentiment
### Confirmation Page
```
Your subscription has been cancelled.
What happens next:
• Your access continues until [billing period end date]
• Your data will be preserved for 90 days
• You can reactivate anytime from your account settings
[Reactivate My Account]
We'd love to have you back. We'll keep improving based on feedback
from customers like you.
```
### Post-Cancel Sequence
| Timing | Action |
|--------|--------|
| Immediately | Confirmation email with access end date |
| Day 1 | (Nothing — don't be desperate) |
| Day 7 | NPS/satisfaction survey about overall experience |
| Day 30 | "What's new" email with recent improvements |
| Day 60 | Address their specific cancel reason if resolved |
| Day 90 | Final win-back with special offer |
**For detailed win-back email sequences**: See the emails skill.
---
## Segmentation Rules
The most effective cancel flows use segmentation to show different offers to different customers.
### Segmentation Dimensions
| Dimension | Why It Matters |
|-----------|---------------|
| Plan / MRR | Higher-value customers get personal outreach |
| Tenure | Long-term customers get more generous offers |
| Usage level | High-usage customers get different messaging than dormant ones |
| Billing interval | Monthly vs. annual need different approaches |
| Previous saves | Don't re-offer the same discount to a repeat canceller |
| Cancel reason | Drives which offer to show (core mapping) |
### Segment-Specific Flows
**New customer (< 30 days):**
- They haven't activated. The save is onboarding, not discounts.
- Offer: Free onboarding call, setup help, extended trial
- Ask: "What were you hoping to accomplish?" (learn what's missing)
**Engaged customer cancelling on price:**
- They love the product but can't justify the cost.
- Offer: Discount, annual plan switch, downgrade
- High save potential
**Dormant customer (no login 30+ days):**
- They forgot about you. A discount won't bring them back.
- Offer: Pause subscription, "what changed?" conversation
- Low save potential — focus on learning why
**Power user switching to competitor:**
- They're actively choosing something else.
- Offer: Competitive match, feedback call, roadmap preview
- Medium save potential — depends on reason
---
## Implementation Checklist
### Phase 1: Foundation (Week 1)
- [ ] Add cancel flow (survey + 1 offer + confirmation)
- [ ] Set up exit survey with 5-7 reason categories
- [ ] Map one offer per reason (simple 1:1 mapping)
- [ ] Track cancel reasons and save rate in analytics
- [ ] Enable pre-dunning card expiry emails
### Phase 2: Optimization (Weeks 2-4)
- [ ] Add fallback offers (primary + secondary per reason)
- [ ] Implement pause subscription option
- [ ] Set up dunning email sequence (4 emails over 10 days)
- [ ] Enable smart retries (Stripe Smart Retries or equivalent)
- [ ] Add MRR-based routing for high-value accounts
### Phase 3: Advanced (Month 2+)
- [ ] Build health score from usage signals
- [ ] Set up proactive intervention triggers
- [ ] A/B test discount amounts and offer types
- [ ] Segment flows by plan, tenure, and usage
- [ ] Post-cancel win-back sequence (coordinate with emails skill)
- [ ] Cohort analysis: churn by channel, plan, tenure
---
## Compliance Notes
### FTC Click-to-Cancel Rule (US)
- Cancellation must be as easy as signup
- Cannot require a phone call to cancel if signup was online
- Cannot add excessive steps to discourage cancellation
- Save offers are allowed but "continue cancelling" must be clear
### GDPR / Data Retention (EU)
- Inform users about data retention period post-cancel
- Offer data export before account deletion
- Honor deletion requests within 30 days
- Don't use post-cancel data for marketing without consent
### General Best Practices
- Always show a clear path to complete cancellation
- Never hide the cancel button (dark pattern)
- Process cancellation even if save flow has errors
- Confirm cancellation with email receipt
@@ -0,0 +1,408 @@
# Dunning Playbook
Complete guide to recovering failed payments and reducing involuntary churn.
---
## Why Dunning Matters
- Failed payments cause 30-50% of all subscription churn
- Most failed payments are recoverable with the right strategy
- Subscription businesses lose an estimated $129 billion annually to involuntary churn
- Effective dunning recovers 50-60% of failed payments
---
## The Dunning Timeline
```
Day -30 to -7: Pre-dunning (prevent failures)
Day 0: Payment fails → Smart retry #1 + Email #1
Day 1-3: Smart retry #2 + Email #2
Day 3-5: Smart retry #3
Day 5-7: Smart retry #4 + Email #3
Day 7-10: Final retry + Email #4 (final warning)
Day 10-14: Grace period ends → Account paused/cancelled
Day 14+: Win-back sequence begins
```
---
## Pre-Dunning: Prevent Failures Before They Happen
### Card Expiry Management
| Timing | Action |
|--------|--------|
| 30 days before expiry | Email: "Your card ending in 4242 expires next month" |
| 15 days before expiry | Email: "Update your payment method to avoid interruption" |
| 7 days before expiry | Email: "Your card expires in 7 days — update now" |
| 3 days before expiry | In-app banner: "Payment method expiring soon" |
**Email template — Card expiring:**
```
Subject: Your card ending in 4242 expires soon
Hi [Name],
The card on file for your [Product] subscription expires on [date].
Update your payment method now to avoid any interruption:
[Update Payment Method →]
This takes less than 30 seconds.
— [Product] Team
```
### Card Updater Services
Major card networks offer automatic card update programs:
| Service | Network | What It Does |
|---------|---------|--------------|
| Visa Account Updater (VAU) | Visa | Auto-updates stored card numbers and expiry dates |
| Mastercard Automatic Billing Updater (ABU) | Mastercard | Same for Mastercard |
| Amex Cardrefresher | American Express | Same for Amex |
**Impact:** Reduces hard declines from expired/replaced cards by 30-50%.
**How to enable:**
- **Stripe**: Automatic — enabled by default
- **Chargebee**: Enabled through gateway settings
- **Recurly**: Built-in, enabled by default
- **Braintree**: Contact processor to enable
### Backup Payment Methods
Prompt for a second payment method:
- During signup: "Add a backup payment method" (low conversion)
- After first successful payment: "Protect your account with a backup card" (better timing)
- After a failed payment is recovered: "Add a backup to prevent future interruptions" (best timing — they felt the pain)
### Pre-Billing Notifications
For annual plans or high-value subscriptions:
- Email 7 days before renewal with amount and date
- Include link to update payment method
- Show what's included in the renewal
- Required by some regulations for auto-renewals
---
## Smart Retry Strategy
### Decline Type Classification
| Code | Type | Meaning | Retry? |
|------|------|---------|--------|
| `insufficient_funds` | Soft | Temporarily low balance | Yes — retry in 2-3 days |
| `card_declined` (generic) | Soft | Various temporary reasons | Yes — retry 3-4 times |
| `processing_error` | Soft | Gateway/network issue | Yes — retry within 24h |
| `expired_card` | Hard | Card is expired | No — request new card |
| `stolen_card` | Hard | Card reported stolen | No — request new card |
| `do_not_honor` | Soft/Hard | Bank refused (ambiguous) | Try once more, then ask for new card |
| `authentication_required` | Auth | SCA/3DS needed | Send customer to authenticate |
### Retry Schedule by Provider
**Stripe (Smart Retries — recommended):**
- Enable "Smart Retries" in Stripe Dashboard → Billing → Settings
- Stripe's ML model picks optimal retry timing based on billions of transactions
- Typically 4-8 retry attempts over 3-4 weeks
- Recovers ~15% more than fixed-schedule retries
**Manual retry schedule (if no smart retries):**
| Retry | Timing | Best Day/Time |
|-------|--------|--------------|
| 1 | Day 1 (24h after failure) | Morning, same day of week as original |
| 2 | Day 3 | Try a different time of day |
| 3 | Day 5 | After typical payday (1st, 15th) |
| 4 | Day 7 | Morning of the next business day |
| 5 (final) | Day 10 | Last attempt before grace period ends |
**Retry timing insights:**
- Retry on the same day of month the original payment succeeded
- Retry after common paydays (1st and 15th of the month)
- Avoid retrying on weekends (lower approval rates)
- Morning retries (8-10am local time) perform slightly better
---
## Dunning Email Sequence
### Email 1: Payment Failed (Day 0)
**Tone:** Friendly, matter-of-fact. No alarm.
```
Subject: Action needed — your payment didn't go through
Hi [Name],
We tried to charge your [card type] ending in [last 4] for your
[Product] subscription ($[amount]), but it didn't go through.
This happens sometimes — usually a quick card update fixes it.
[Update Payment Method →]
Your access isn't affected yet. We'll retry automatically, but
updating your card is the fastest fix.
Need help? Just reply to this email.
— [Product] Team
```
### Email 2: Reminder (Day 3)
**Tone:** Helpful, slightly more urgent.
```
Subject: Quick reminder — update your payment for [Product]
Hi [Name],
Just a heads-up — we still haven't been able to process your
$[amount] payment for [Product].
[Update Payment Method →]
Takes less than 30 seconds. Your [data/projects/team access]
is safe, but we'll need a valid payment method to keep your
account active.
Questions? Reply here and we'll help.
— [Product] Team
```
### Email 3: Urgency (Day 7)
**Tone:** Direct, clear consequences.
```
Subject: Your [Product] account will be paused in 3 days
Hi [Name],
We've tried to process your payment several times, but your
[card type] ending in [last 4] keeps getting declined.
If we don't receive payment by [date], your account will be
paused and you'll lose access to:
• [Key feature/data they use]
• [Their projects/workspace]
• [Team access for X members]
[Update Payment Method Now →]
Your data won't be deleted — you can reactivate anytime by
updating your payment method.
— [Product] Team
```
### Email 4: Final Warning (Day 10)
**Tone:** Final, clear, no guilt.
```
Subject: Last chance to keep your [Product] account active
Hi [Name],
This is our last reminder. Your payment of $[amount] is past
due, and your account will be paused tomorrow ([date]).
[Update Payment Method →]
After pausing:
• Your data is saved for [90 days]
• You can reactivate anytime
• Just update your card to restore access
If you intended to cancel, no action needed — your account
will be paused automatically.
— [Product] Team
```
---
## Grace Period Management
### What Happens During Grace Period
| Setting | Recommendation |
|---------|---------------|
| Duration | 7-14 days after final retry |
| Access | Degraded (read-only) or full access |
| Visibility | In-app banner: "Payment past due — update to continue" |
| Retry | Continue background retries during grace |
| Communication | Dunning emails continue |
### Access Degradation Options
**Option A: Full access during grace (recommended for B2B)**
- Lower friction, customer feels respected
- Higher recovery rate (they still see value)
- Risk: some customers exploit the grace period
**Option B: Read-only access (recommended for B2C)**
- Can view but not create/edit
- Creates urgency without data loss fear
- Clear message: "Update payment to resume full access"
**Option C: Immediate lockout (not recommended)**
- Aggressive, damages relationship
- Lower recovery rate
- Only appropriate for very low-cost plans
### Post-Grace Period
| Timing | Action |
|--------|--------|
| Grace period ends | Pause account (not delete) |
| Day 1 post-pause | "Your account has been paused" email |
| Day 7 post-pause | "Your data is still here" reminder |
| Day 30 post-pause | Win-back attempt with new offer |
| Day 60 post-pause | Final win-back |
| Day 90 post-pause | Data deletion warning (if applicable) |
---
## Provider-Specific Setup
### Stripe
**Enable Smart Retries:**
1. Dashboard → Settings → Billing → Subscriptions and emails
2. Enable "Smart Retries" under retry rules
3. Set failed payment emails in Dashboard → Settings → Emails
**Custom retry rules (if not using Smart Retries):**
```
Retry 1: 3 days after failure
Retry 2: 5 days after failure
Retry 3: 7 days after failure
Final: Mark subscription as unpaid after last retry
```
**Webhook events to handle:**
- `invoice.payment_failed` — trigger dunning
- `invoice.paid` — cancel dunning, restore access
- `customer.subscription.updated` — status changes
- `customer.subscription.deleted` — final cancellation
### Chargebee
**Built-in dunning:**
1. Settings → Configure Chargebee → Retry Settings
2. Configure retry attempts and intervals
3. Settings → Configure Chargebee → Email Notifications → Dunning
**Dunning options:**
- Automatic retries with configurable schedule
- Built-in dunning emails (customizable templates)
- Grace period configuration per plan
### Paddle
**Managed dunning:**
- Paddle handles retries and dunning automatically
- Limited customization (Paddle manages the relationship)
- Webhook: `subscription.payment_failed`, `subscription.cancelled`
- Best for hands-off approach
### Recurly
**Revenue Recovery:**
1. Configuration → Dunning Management
2. Set retry schedule per plan
3. Configure grace period and final action (pause vs cancel)
**Advanced features:**
- Machine-learning retry optimization
- Per-plan dunning schedules
- Built-in Account Updater
---
## In-App Dunning
Don't rely on email alone. Show payment failures in the app:
### Banner Pattern
```
┌──────────────────────────────────────────────────────┐
│ ⚠ Your payment of $29 failed. Update your card to │
│ avoid losing access. [Update Payment →] [Dismiss] │
└──────────────────────────────────────────────────────┘
```
**Rules:**
- Show on every page load during dunning period
- Allow dismiss (but show again next session)
- Direct link to payment update (fewest clicks possible)
- Don't block the product — let them continue using it
### Modal Pattern (for final warning)
```
┌─────────────────────────────────────┐
│ │
│ Your account will be paused │
│ on [date] │
│ │
│ Update your payment method to │
│ keep access to your [X] projects │
│ and [Y] team members. │
│ │
│ [Update Payment Method] │
│ [Remind Me Later] │
│ │
└─────────────────────────────────────┘
```
---
## Measuring Dunning Performance
### Key Metrics
| Metric | How to Calculate | Target |
|--------|-----------------|--------|
| Recovery rate | Recovered payments / Total failed | 50-60% |
| Recovery rate by decline type | Recovered / Failed per type | Soft: 70%+, Hard: 40%+ |
| Time to recovery | Days from failure to successful payment | <5 days |
| Pre-dunning prevention rate | Prevented failures / Expected failures | 20-30% |
| Dunning email open rate | Opens / Sent per email | 60%+ |
| Dunning email click rate | Clicks / Opens per email | 30%+ |
| Revenue recovered (monthly) | Sum of recovered payment amounts | Track trend |
| Revenue lost to involuntary churn | Sum of failed + unrecovered amounts | Track trend |
### Benchmarking
**By company stage:**
| Stage | Typical Involuntary Churn | Target After Optimization |
|-------|--------------------------|--------------------------|
| Early (< $1M ARR) | 3-5% of MRR/month | 1-2% |
| Growth ($1-10M ARR) | 2-4% of MRR/month | 0.5-1.5% |
| Scale ($10M+ ARR) | 1-3% of MRR/month | 0.3-0.8% |
### ROI Calculation
```
Monthly failed payment MRR: $10,000
Current recovery rate: 30% ($3,000 recovered)
Target recovery rate: 60% ($6,000 recovered)
Monthly improvement: $3,000/month
Annual improvement: $36,000/year
Cost of dunning optimization: ~$200-500/month (tooling)
ROI: 6-15x
```
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@@ -0,0 +1,290 @@
---
name: co-marketing
description: "When the user wants to find co-marketing partners, plan joint campaigns, or brainstorm partnership opportunities. Use when the user says 'co-marketing,' 'partner marketing,' 'joint campaign,' 'who should we partner with,' 'integration marketing,' 'cross-promotion,' 'collaborate with another company,' 'partnership ideas,' or 'co-brand.' For customer referral programs, see referrals. For launch-specific partnerships, see launch."
metadata:
version: 2.0.0
---
You are a co-marketing strategist who helps SaaS companies identify ideal partners and brainstorm high-impact joint campaigns.
## Before Starting
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
## When to Use This Skill
- Finding potential co-marketing partners
- Brainstorming campaign ideas with a specific partner
- Planning joint launches or promotions
- Evaluating partnership fit
- Structuring co-marketing agreements
---
## Partner Identification Framework
### 1. Audience Overlap Analysis
The best partners share your audience but don't compete for the same budget.
**Ideal partner characteristics:**
- Same buyer persona, different problem solved
- Adjacent in the workflow (before, after, or alongside your tool)
- Similar company stage and customer size
- Complementary, not competitive
**Questions to identify partners:**
- What tools do your customers already use?
- What do they use before/after your product?
- Who else is selling to your ICP?
- Which integrations do customers request most?
### 2. Partner Scoring Criteria
Rate potential partners (1-5) on:
| Criteria | What to Evaluate |
|----------|------------------|
| **Audience fit** | How closely does their audience match your ICP? |
| **Audience size** | Do they have reach worth partnering for? |
| **Brand alignment** | Would you be proud to be associated? |
| **Engagement quality** | Do they have an active, engaged audience? |
| **Reciprocity potential** | Can you offer them equal value? |
| **Ease of execution** | Do they have a partnerships team? History of co-marketing? |
### 3. Where to Find Partners
**Integration ecosystem:**
- Your existing integration partners
- Tools in the same app marketplace category
- Platforms your product plugs into
**Adjacent categories:**
- Tools that solve the problem before yours
- Tools that solve the problem after yours
- Tools used by the same role but different workflow
**Community signals:**
- Who sponsors the same podcasts/newsletters?
- Who exhibits at the same conferences?
- Who's active in the same communities?
- Whose content does your audience share?
**Data sources:**
- Crossbeam or Reveal for account overlap
- Customer surveys ("what else do you use?")
- G2/Capterra category neighbors
- Job postings mentioning your tool + others
---
## Co-Marketing Campaign Types
### Content Partnerships
| Format | Effort | Lead Sharing | Best For |
|--------|--------|--------------|----------|
| **Co-authored blog post** | Low | Shared byline, link exchange | Thought leadership, SEO |
| **Joint ebook/guide** | Medium | Gated, split leads | Lead gen, deeper topic |
| **Research report** | High | Gated, split leads | Authority, PR |
| **Guest newsletter swap** | Low | Each keeps own leads | Audience exposure |
| **Podcast guest exchange** | Low | Each keeps own leads | Relationship building |
### Webinars & Events
| Format | Effort | Best For |
|--------|--------|----------|
| **Joint webinar** | Medium | Lead gen, product education |
| **Virtual summit panel** | Medium | Multi-partner exposure |
| **Co-hosted workshop** | High | Hands-on education, deeper engagement |
| **Conference booth sharing** | Medium | Cost splitting, audience overlap |
| **Joint happy hour/dinner** | Low | Relationship building at events |
### Product & Integration Marketing
| Format | Effort | Best For |
|--------|--------|----------|
| **Integration launch** | Medium | Existing integration partners |
| **Joint case study** | Medium | Shared customers |
| **"Better together" landing page** | Low | Integration discovery |
| **Bundle or discount** | Medium | Conversion boost, cross-sell |
| **In-app cross-promotion** | Medium | User activation |
### Community & Social
| Format | Effort | Best For |
|--------|--------|----------|
| **Social media takeover** | Low | Audience exposure |
| **Joint giveaway/contest** | Low | List building, engagement |
| **Slack/Discord community collab** | Low | Community building |
| **Joint AMA or Twitter Space** | Low | Thought leadership |
---
## Brainstorming Partner Campaigns
When brainstorming with a specific partner, consider:
### 1. Shared Audience Moments
- What trigger events matter to both audiences?
- What seasonal moments align with both products?
- What industry trends affect both customer bases?
### 2. Combined Value Propositions
- What can customers achieve with both tools that they can't with one?
- What workflow does the combination enable?
- What pain point does the integration solve?
### 3. Unique Assets Each Brings
| Your Assets | Their Assets |
|-------------|--------------|
| Your audience size/engagement | Their audience size/engagement |
| Your content expertise | Their content expertise |
| Your product capabilities | Their product capabilities |
| Your brand credibility | Their brand credibility |
| Your customer stories | Their customer stories |
### 4. Campaign Idea Prompts
Ask these to generate ideas:
- "What would we create if we had to launch something in 2 weeks?"
- "What content do both our audiences desperately need?"
- "What would make customers say 'finally, someone did this'?"
- "What exclusive thing could we offer together?"
- "What data do we both have that would make a compelling story?"
---
## Approaching Potential Partners
### Cold Outreach Template
```
Subject: [Your Company] + [Their Company] co-marketing idea
Hey [Name],
I'm [Role] at [Your Company]. We [one-line description].
I noticed we share a lot of the same audience—[specific observation about overlap].
I have an idea for [specific campaign type] that could work well for both of us: [one-sentence pitch].
Would you be open to a quick call to explore?
[Your name]
```
### What to Prepare for the Call
1. **Account overlap data** (if available via Crossbeam/Reveal)
2. **2-3 specific campaign ideas** (not just "let's do something")
3. **Your audience metrics** (list size, traffic, engagement)
4. **Examples of past partnerships** (shows you can execute)
5. **Clear ask** (what you want from them, what you'll provide)
---
## Structuring the Partnership
### Key Questions to Align On
- **Lead ownership**: How are leads split or shared?
- **Promotion commitments**: What will each party do to promote?
- **Asset creation**: Who creates what? Who approves?
- **Timeline**: When does each phase happen?
- **Success metrics**: How will you measure success?
- **Follow-up**: Will you do more together if it works?
### Simple Co-Marketing Agreement Outline
1. **Campaign description**: What you're doing together
2. **Responsibilities**: Who does what
3. **Timeline**: Key dates and deadlines
4. **Lead handling**: How leads are captured, shared, followed up
5. **Promotion**: Minimum commitments from each side
6. **Branding**: Logo usage, approval process
7. **Costs**: Who pays for what (if any)
8. **Metrics sharing**: What data you'll share post-campaign
---
## Measuring Co-Marketing Success
### Quantitative Metrics
- Leads generated (total and per partner)
- Lead quality (MQL/SQL conversion rate)
- Revenue attributed
- Audience growth (new subscribers, followers)
- Content engagement (views, downloads, shares)
### Qualitative Metrics
- Ease of collaboration
- Partner responsiveness
- Audience reception
- Brand lift
- Relationship strengthened for future campaigns
---
## Co-Marketing Checklist
### Partner Identification
- [ ] List tools your customers already use
- [ ] Check Crossbeam/Reveal for account overlap
- [ ] Score top 5 potential partners
- [ ] Research their past co-marketing activities
### Campaign Planning
- [ ] Agree on campaign type and goals
- [ ] Define lead sharing arrangement
- [ ] Assign responsibilities and deadlines
- [ ] Set success metrics
### Execution
- [ ] Create shared assets (landing page, content, etc.)
- [ ] Coordinate promotion schedules
- [ ] Brief both teams on talking points
### Post-Campaign
- [ ] Share metrics with partner
- [ ] Debrief on what worked/didn't
- [ ] Discuss future collaboration opportunities
---
## Task-Specific Questions
1. Are you looking for partners or planning a campaign with a specific partner?
2. What type of co-marketing are you most interested in? (content, events, integrations, community)
3. What's your audience size? (email list, social following, traffic)
4. Do you have existing integration partners?
5. Have you done co-marketing before? What worked/didn't?
6. What's your timeline and budget for co-marketing?
---
## Tool Integrations
For implementation, see the [tools registry](../../tools/REGISTRY.md). Key tools for co-marketing:
| Tool | Best For | Guide |
|------|----------|-------|
| **Crossbeam** | Account overlap with partners | [crossbeam.md](../../tools/integrations/crossbeam.md) |
| **Introw** | Partner program management, deal registration | [introw.md](../../tools/integrations/introw.md) |
| **PartnerStack** | Partner and affiliate program management | [partnerstack.md](../../tools/integrations/partnerstack.md) |
---
## Related Skills
- **referrals** — For customer referral and affiliate programs (customers referring customers)
- **launch** — For product launches with partners; covers co-marketing as a "borrowed channel"
- **content-strategy** — For content planning including co-created content
- **sales-enablement** — For partner-facing collateral and enablement materials
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{
"skill_name": "co-marketing",
"evals": [
{
"id": 1,
"prompt": "We make a project management tool for design agencies. Who should we look for as co-marketing partners?",
"expected_output": "Should check for product-marketing.md first. Should apply the Partner Identification Framework with audience overlap analysis. Should identify ideal partner characteristics: same buyer persona (design agencies), different problem solved, adjacent in the workflow. Should suggest specific partner categories: design tools (Figma, Adobe), proposal/contract tools (Bonsai, HoneyBook), client communication (Notion, Slack), invoicing/payments (Stripe, FreshBooks), file storage/handoff (Dropbox, Frame.io). Should recommend audience scoring criteria. Should suggest sources to find partners: integration ecosystem, Crossbeam/Reveal for account overlap, customer surveys, G2/Capterra category neighbors, podcasts/newsletters they sponsor.",
"assertions": [
"Checks for product-marketing.md",
"Identifies same persona / different problem characteristic",
"Suggests specific partner categories in workflow",
"Mentions Crossbeam or account overlap data",
"Lists multiple sources to find partners",
"Applies scoring criteria"
],
"files": []
},
{
"id": 2,
"prompt": "We're partnering with a competitor — wait, not a competitor, a complementary CRM company. Help us brainstorm 5 campaign ideas we could run together.",
"expected_output": "Should apply the brainstorming framework: shared audience moments, combined value propositions, unique assets each brings. Should propose campaign ideas across multiple types from the campaign type tables (content partnerships, webinars/events, product/integration marketing, community/social). Should suggest specific ideas like: co-authored blog post or research report, joint webinar, 'better together' integration landing page, joint case study with shared customer, integration launch, bundle/discount, conference booth sharing. Should ask the campaign idea prompts to spark ideas: what would we create if we had to launch in 2 weeks, what content do both audiences desperately need, what data do we both have that would make a compelling story.",
"assertions": [
"Applies brainstorming framework",
"Proposes campaigns across multiple types (content, events, integration, community)",
"Suggests specific actionable ideas",
"Mentions integration or 'better together' angle",
"Uses brainstorming prompts"
],
"files": []
},
{
"id": 3,
"prompt": "Draft a cold outreach email to a potential co-marketing partner. They're a content management platform and we make a marketing analytics tool. Both serve B2B marketing teams.",
"expected_output": "Should use the cold outreach template structure. Should include: subject line with both company names, brief role intro, specific observation about audience overlap (not generic), one concrete campaign idea (not 'let's do something'), clear ask for a quick call. Should keep it short and personal. Should optionally mention call prep: account overlap data (Crossbeam/Reveal), 2-3 specific campaign ideas, audience metrics, past partnership examples, clear ask of what's wanted and what's offered.",
"assertions": [
"Includes subject with both company names",
"Specific observation about audience overlap",
"Includes one concrete campaign idea",
"Includes clear ask for a call",
"Keeps it short and personal",
"Mentions what to prepare for the call"
],
"files": []
},
{
"id": 4,
"prompt": "We've identified 5 potential partners but only have time for one campaign this quarter. How should we pick?",
"expected_output": "Should apply the partner scoring criteria: audience fit, audience size, brand alignment, engagement quality, reciprocity potential, ease of execution. Should recommend scoring each partner 1-5 across these criteria. Should weight by current goal (e.g., if lead gen is priority, weight audience size and audience fit higher; if relationship building, weight brand alignment and engagement quality). Should consider partner's history of co-marketing — those with partnerships teams and past co-marketing activities execute faster. Should recommend running a small content partnership first (low effort) to test the relationship before bigger commitments.",
"assertions": [
"Applies partner scoring criteria",
"Includes all 6 scoring dimensions",
"Weights by goal",
"Considers ease of execution / partnership history",
"Recommends starting with low-effort format"
],
"files": []
},
{
"id": 5,
"prompt": "Our partnership webinar with another SaaS company got 200 signups. How do we split the leads?",
"expected_output": "Should address the lead handling question from the Structuring the Partnership section. Should explain common splits: each partner keeps their own registrations (cleanest but loses cross-pollination), all leads shared between both (max reach, requires clear MQL/SQL handoff), split by audience source (your list vs theirs). Should recommend documenting this in advance in a co-marketing agreement covering campaign description, responsibilities, timeline, lead handling, promotion, branding, costs, metrics sharing. Should note measuring success: leads generated per partner, lead quality (MQL/SQL conversion rate), revenue attributed. Should recommend a post-campaign debrief and discussing future collaboration if it worked.",
"assertions": [
"Explains lead split options",
"Recommends documenting in agreement",
"Lists agreement components",
"Mentions measuring lead quality not just volume",
"Recommends post-campaign debrief"
],
"files": []
},
{
"id": 6,
"prompt": "Our customer success team wants us to launch a referral program. Can you help us design one?",
"expected_output": "Should recognize this is about customer referrals, not co-marketing between companies. Should redirect to the referrals skill, which specifically handles customer referral and affiliate programs (customers referring customers). Should note co-marketing is partner-to-partner marketing while referrals is customer-driven word-of-mouth. May offer brief co-marketing context if it's relevant to the strategy, but should make clear referrals is the right skill for the task.",
"assertions": [
"Recognizes this is customer referral, not co-marketing",
"Defers to referrals skill",
"Distinguishes co-marketing from referral programs",
"Does not attempt full co-marketing strategy"
],
"files": []
}
]
}
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---
name: cold-email
description: Write B2B cold emails and follow-up sequences that get replies. Use when the user wants to write cold outreach emails, prospecting emails, cold email campaigns, sales development emails, or SDR emails. Also use when the user mentions "cold outreach," "prospecting email," "outbound email," "email to leads," "reach out to prospects," "sales email," "follow-up email sequence," "nobody's replying to my emails," or "how do I write a cold email." Covers subject lines, opening lines, body copy, CTAs, personalization, and multi-touch follow-up sequences. For warm/lifecycle email sequences, see emails. For sales collateral beyond emails, see sales-enablement.
metadata:
version: 2.0.0
---
# Cold Email Writing
You are an expert cold email writer. Your goal is to write emails that sound like they came from a sharp, thoughtful human — not a sales machine following a template.
## Before Writing
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Understand the situation (ask if not provided):
1. **Who are you writing to?** — Role, company, why them specifically
2. **What do you want?** — The outcome (meeting, reply, intro, demo)
3. **What's the value?** — The specific problem you solve for people like them
4. **What's your proof?** — A result, case study, or credibility signal
5. **Any research signals?** — Funding, hiring, LinkedIn posts, company news, tech stack changes
Work with whatever the user gives you. If they have a strong signal and a clear value prop, that's enough to write. Don't block on missing inputs — use what you have and note what would make it stronger.
---
## Writing Principles
### Write like a peer, not a vendor
The email should read like it came from someone who understands their world — not someone trying to sell them something. Use contractions. Read it aloud. If it sounds like marketing copy, rewrite it.
### Every sentence must earn its place
Cold email is ruthlessly short. If a sentence doesn't move the reader toward replying, cut it. The best cold emails feel like they could have been shorter, not longer.
### Personalization must connect to the problem
If you remove the personalized opening and the email still makes sense, the personalization isn't working. The observation should naturally lead into why you're reaching out.
See [personalization.md](references/personalization.md) for the 4-level system and research signals.
### Lead with their world, not yours
The reader should see their own situation reflected back. "You/your" should dominate over "I/we." Don't open with who you are or what your company does.
### One ask, low friction
Interest-based CTAs ("Worth exploring?" / "Would this be useful?") beat meeting requests. One CTA per email. Make it easy to say yes with a one-line reply.
---
## Voice & Tone
**The target voice:** A smart colleague who noticed something relevant and is sharing it. Conversational but not sloppy. Confident but not pushy.
**Calibrate to the audience:**
- C-suite: ultra-brief, peer-level, understated
- Mid-level: more specific value, slightly more detail
- Technical: precise, no fluff, respect their intelligence
**What it should NOT sound like:**
- A template with fields swapped in
- A pitch deck compressed into paragraph form
- A LinkedIn DM from someone you've never met
- An AI-generated email (avoid the telltale patterns: "I hope this email finds you well," "I came across your profile," "leverage," "synergy," "best-in-class")
---
## Structure
There's no single right structure. Choose a framework that fits the situation, or write freeform if the email flows naturally without one.
**Common shapes that work:**
- **Observation → Problem → Proof → Ask** — You noticed X, which usually means Y challenge. We helped Z with that. Interested?
- **Question → Value → Ask** — Struggling with X? We do Y. Company Z saw [result]. Worth a look?
- **Trigger → Insight → Ask** — Congrats on X. That usually creates Y challenge. We've helped similar companies with that. Curious?
- **Story → Bridge → Ask** — [Similar company] had [problem]. They [solved it this way]. Relevant to you?
For the full catalog of frameworks with examples, see [frameworks.md](references/frameworks.md).
---
## Subject Lines
Short, boring, internal-looking. The subject line's only job is to get the email opened — not to sell.
- 2-4 words, lowercase, no punctuation tricks
- Should look like it came from a colleague ("reply rates," "hiring ops," "Q2 forecast")
- No product pitches, no urgency, no emojis, no prospect's first name
See [subject-lines.md](references/subject-lines.md) for the full data.
---
## Follow-Up Sequences
Each follow-up should add something new — a different angle, fresh proof, a useful resource. "Just checking in" gives the reader no reason to respond.
- 3-5 total emails, increasing gaps between them
- Each email should stand alone (they may not have read the previous ones)
- The breakup email is your last touch — honor it
See [follow-up-sequences.md](references/follow-up-sequences.md) for cadence, angle rotation, and breakup email templates.
---
## Quality Check
Before presenting, gut-check:
- Does it sound like a human wrote it? (Read it aloud)
- Would YOU reply to this if you received it?
- Does every sentence serve the reader, not the sender?
- Is the personalization connected to the problem?
- Is there one clear, low-friction ask?
---
## What to Avoid
- Opening with "I hope this email finds you well" or "My name is X and I work at Y"
- Jargon: "synergy," "leverage," "circle back," "best-in-class," "leading provider"
- Feature dumps — one proof point beats ten features
- HTML, images, or multiple links
- Fake "Re:" or "Fwd:" subject lines
- Identical templates with only {{FirstName}} swapped
- Asking for 30-minute calls in first touch
- "Just checking in" follow-ups
---
## Data & Benchmarks
The references contain performance data if you need to make informed choices:
- [benchmarks.md](references/benchmarks.md) — Reply rates, conversion funnels, expert methods, common mistakes
- [personalization.md](references/personalization.md) — 4-level personalization system, research signals
- [subject-lines.md](references/subject-lines.md) — Subject line data and optimization
- [follow-up-sequences.md](references/follow-up-sequences.md) — Cadence, angles, breakup emails
- [frameworks.md](references/frameworks.md) — All copywriting frameworks with examples
Use this data to inform your writing — not as a checklist to satisfy.
---
## Related Skills
- **copywriting**: For landing pages and web copy
- **emails**: For lifecycle/nurture email sequences (not cold outreach)
- **social**: For LinkedIn and social posts
- **product-marketing**: For establishing foundational positioning
- **revops**: For lead scoring, routing, and pipeline management
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{
"skill_name": "cold-email",
"evals": [
{
"id": 1,
"prompt": "Write a cold email to VP of Marketing at mid-size B2B SaaS companies. We sell a content analytics platform that shows which blog posts actually drive pipeline. Our main proof point: customers see 3x increase in content-attributed revenue within 90 days.",
"expected_output": "Should check for product-marketing.md first. Should write like a peer, not a vendor. Should use one of the structure frameworks (observation→problem→proof→ask or similar). Subject line should be 2-4 words, lowercase, internal-looking. Every sentence should earn its place. Personalization should connect to the prospect's problem, not just their name. Should use the 3x revenue proof point as social proof, not a feature claim. CTA should be low-friction (not 'book a demo'). Should provide 2-3 variations. Should include a quality check against the guidelines.",
"assertions": [
"Checks for product-marketing.md",
"Writes like a peer, not a vendor",
"Uses a structure framework from the skill",
"Subject line is short, lowercase, internal-looking",
"Every sentence earns its place (concise)",
"Personalization connects to prospect's problem",
"Uses proof point as social proof",
"CTA is low-friction",
"Provides 2-3 variations"
],
"files": []
},
{
"id": 2,
"prompt": "Help me write a cold email to CTOs at enterprise companies. I sell cybersecurity training. My current email has a 2% open rate and 0% reply rate.",
"expected_output": "Should diagnose the current email's likely problems based on 2% open rate (subject line issue) and 0% reply rate (body/relevance issue). Should apply voice calibration for CTO audience (respect their time, technical credibility, executive-level language). Should provide a completely new email following structure frameworks. Subject line should be 2-4 words, look internal. Should adapt tone for enterprise CTOs — more formal than startup audience but still peer-like. Should provide the email plus analysis of why each element works.",
"assertions": [
"Diagnoses problems from the performance data",
"Identifies subject line as likely open rate issue",
"Applies voice calibration for CTO audience",
"Subject line is short, lowercase, internal-looking",
"Adapts tone for enterprise audience",
"Uses structure framework from the skill",
"Explains why each element works"
],
"files": []
},
{
"id": 3,
"prompt": "write me a follow-up sequence. prospect didn't reply to my first email about our HR software. how many should I send and how far apart?",
"expected_output": "Should trigger on casual phrasing. Should apply the follow-up sequence guidance: 3-5 follow-ups recommended. Each follow-up should add something new (new angle, new proof point, new value) — not just 'bumping' or 'checking in.' Should provide timing recommendations between emails. Should provide actual follow-up email copy for each touch, with different angles. Should include a breakup email at the end. Should note that each follow-up should be shorter than the previous.",
"assertions": [
"Triggers on casual phrasing",
"Recommends 3-5 follow-up emails",
"Each follow-up adds something new",
"Does not use 'just bumping' or 'checking in' language",
"Provides timing between emails",
"Provides actual copy for each follow-up",
"Includes a breakup email",
"Follow-ups get progressively shorter"
],
"files": []
},
{
"id": 4,
"prompt": "Review this cold email and tell me what's wrong: 'Dear Sir/Madam, I hope this email finds you well. I wanted to reach out to introduce our innovative cloud-based platform that leverages AI to streamline your business operations. We have helped over 500 companies transform their workflows. I would love to schedule a 30-minute call to discuss how we can help your organization. Best regards, John'",
"expected_output": "Should apply the quality check framework. Should identify multiple problems: 'Dear Sir/Madam' (no personalization), 'I hope this email finds you well' (filler), 'innovative cloud-based platform' (jargon/buzzwords), 'leverages AI to streamline' (vague vendor language), 'transform their workflows' (means nothing), '30-minute call' (too much ask for cold email), entire email is about the sender not the prospect. Should rewrite following the principles: peer tone, observation→problem→proof→ask structure, every sentence earns its place, personalization connected to their problem, low-friction CTA.",
"assertions": [
"Identifies lack of personalization",
"Identifies filler phrases",
"Identifies jargon and buzzwords",
"Identifies vendor language vs peer language",
"Identifies CTA as too high-friction",
"Notes email is sender-focused not prospect-focused",
"Provides a rewritten version",
"Rewrite follows cold email principles"
],
"files": []
},
{
"id": 5,
"prompt": "What are the best subject lines for cold emails? I want to maximize open rates.",
"expected_output": "Should apply the subject line guidelines: short (2-4 words), lowercase or sentence case, internal-looking (should look like it came from a colleague, not a vendor). Should provide examples following these principles. Should explain why these work (bypass promotional filters, trigger curiosity, don't look like marketing). Should warn against common bad subject lines (ALL CAPS, emojis, clickbait, long subjects). Should note that subject line gets them to open but body gets them to reply.",
"assertions": [
"Applies subject line guidelines (2-4 words, lowercase, internal-looking)",
"Provides specific examples",
"Explains why the format works",
"Warns against common bad subject line patterns",
"Notes distinction between open rate and reply rate"
],
"files": []
},
{
"id": 6,
"prompt": "Can you help me set up an automated email drip campaign for leads who download our whitepaper?",
"expected_output": "Should recognize this is a lifecycle/nurture email sequence, not cold outreach. Should defer to or cross-reference the emails skill, which handles drip campaigns, lead nurture sequences, and lifecycle emails. Cold email is specifically for unsolicited outbound outreach to prospects who haven't opted in. Should make this distinction clear.",
"assertions": [
"Recognizes this as lifecycle/nurture email, not cold outreach",
"References or defers to emails skill",
"Explains the distinction between cold email and lifecycle email",
"Does not attempt to design a nurture sequence using cold email patterns"
],
"files": []
}
]
}
@@ -0,0 +1,83 @@
# Benchmarks, Data & Expert Methods
## Core Performance Metrics (20242025)
| Metric | Average | Good | Excellent | Source |
| -------------------------- | ------- | ------ | --------- | ------------------------ |
| Open rate | 27.7% | 4045% | 50%+ | Belkins, Snov.io |
| Reply rate | 45.8% | 510% | 1015% | Belkins, Reachoutly |
| Reply rate (best-in-class) | — | — | 1525%+ | Digital Bloom, Instantly |
| Positive reply % | ~48% | 5560% | 6265% | Digital Bloom |
| Meeting booking rate | 0.51% | 12% | 2.3%+ | Reachoutly |
| Bounce rate | 7.5% | <4% | <2% | Belkins |
## Realistic Funnel Model
500 emails → 100 opens (20%) → 25 replies (5%) → 8 positive replies (30%) → 4 meetings (50%) → 1 client (25% close). ~**0.2% end-to-end conversion** for average performers.
## Performance Levers (ranked by impact)
1. **Hook type** — Timeline hooks outperform problem hooks by 3.4x in meetings
2. **Personalization depth** — Up to 250% more replies
3. **Brevity** — 2575 words optimal, 83% more replies under 75 words
4. **Targeting precision** — ≤50 contacts per campaign = 2.76x higher reply rates
5. **Follow-up strategy** — First follow-up adds 49% more replies
6. **Reading level** — 3rd5th grade = 67% more replies
7. **Send timing** — Thursday peaks at 6.87% reply rate
## Declining Effectiveness Trend
Reply rates dropped from 78% (20202022) to 45.8% (20242025), ~15% YoY decline. Drivers: inbox saturation (10+ cold emails/week, 20% say none relevant), stricter anti-spam (Google's threshold: 0.1% complaints), AI email flood (more volume, less quality signal). Writing craft matters more, not less — gap between average and excellent is widening.
## Response Rates by Seniority
- **Entry-level:** Highest engagement at 8% reply, 50% open
- **C-level:** 23% more likely to respond than non-C-suite when they engage (6.4% vs 5.2%)
- **CTOs/VP Tech:** 7.68% reply
- **CEOs/Founders:** 7.63% reply
- **Heads of Sales:** 6.60% (most targeted role, highest saturation)
## Industry Variation
**Highest responding:** Nonprofits (16.5%+), legal (10%), EdTech (7.8%), chemical (7.3%), manufacturing (6.1%).
**Lowest responding:** SaaS (3.5%), financial services (3.4%), IT services (3.5%).
## Top 15 Mistakes (ranked by impact)
1. **Too long** — 70% of emails above 10th-grade level. Under 75 words = 83% more replies
2. **Too self-focused** — "We are a leading..." signals sales pitch. Count I/We sentences
3. **No clear value prop** — 71% of decision-makers ignore irrelevant emails
4. **Generic templates** — {{FirstName}} isn't personalization. Recipients detect instantly
5. **Feature dumping** — "Great reps lead with problems" (Lavender). One proof point beats ten features
6. **False personalization** — "Loved your post!" without specifics is transparent
7. **Asking too much too soon** — 30-min call in first email = "proposing on first date"
8. **Pushy language** — "Act Now" stacking increases spam flagging by 67%
9. **No CTA** — Without a clear next step, momentum dies
10. **"Just checking in" follow-ups** — "I never heard back" = 12% drop in bookings
11. **Wrong tone for audience** — Founder ≠ RevOps lead ≠ sales leader
12. **Jargon/buzzwords** — "Leverage synergistic platform" → "We help you book more meetings"
13. **Unsubstantiated claims** — "300% more leads" without proof triggers skepticism
14. **Too many contacts per company** — 12 people = 7.8% reply; 10+ = 3.8%
15. **Fake urgency** — Fake "Re:" / "Fwd:" / countdown timers destroy trust
## Cultural Calibration
| Factor | US | UK | Germany/DACH | Scandinavia |
| ------------ | --------------- | ------------------------ | -------------------- | ----------------------- |
| Tone | Direct, casual | Polite, professional | Precise, data-driven | Fact-based, egalitarian |
| Length | Shorter, blunt | Longer, insight-led | Detail-oriented | Concise but substantive |
| Social proof | Outcome numbers | Research-led credibility | Technical precision | Shared values |
North America: 4.1% response. Europe: 3.1%. Asia-Pacific: 2.8%. Shorter, more direct sequences work better in US. UK needs more insight/personality. GDPR affects European tone.
## Expert Quick Reference
| Expert | Core Method | Best For |
| -------------- | --------------------------------------------------------------- | ----------------------------------------------- |
| Alex Berman | 3C's: Compliment → Case Study → CTA | High-ticket B2B services, agencies |
| Josh Braun | "Poke the Bear" — neutral questions exposing invisible problems | Empathy-driven consultative selling |
| Kyle Coleman | Systematic research + AI personalization at scale | Bridging mass outreach and deep personalization |
| Becc Holland | Psychographic personalization, Premise Buckets | Combining personalization with relevance |
| Will Allred | Data-driven coaching, Mouse Trap, Vanilla Ice Cream | Any context; universal frameworks |
| Justin Michael | 13 sentence hyper-brevity, quote their own words | High-velocity SDR teams at scale |
| Sam Nelson | Agoge Sequence — Triple on Day 1 (email + LinkedIn + call) | Multi-channel, tiered personalization |
@@ -0,0 +1,81 @@
# Follow-Up Sequences
55% of replies come from follow-ups, not the initial email. Yet 48% of salespeople never follow up even once.
## How Many: 35 Total Emails
- Highest single-email reply rate: **8.4%** (Belkins).
- 47 email campaigns achieve **27% reply rates** vs 9% for 13 emails (Woodpecker, 20M emails).
- By 4th follow-up, response rates drop **55%** and spam complaints **triple**.
- Resolution: longer sequences catch different timing windows. Cap at 4 follow-ups (5 total emails). Each must add genuinely new value.
## Optimal Cadence
Increase the gap between each touch:
| Touch | Day | Notes |
| ------------- | ----- | ---------------------------------------------- |
| Initial email | 0 | Maximum personalization investment |
| Follow-up 1 | 3 | Waiting 3 days increases response by up to 31% |
| Follow-up 2 | 78 | Different angle |
| Follow-up 3 | 14 | New value piece |
| Follow-up 4 | 2128 | Breakup email |
**Best days:** TuesdayThursday (Thursday peaks at 6.87% reply rate).
**Best times:** 911 AM or 13 PM in prospect's local time.
**Avoid:** Monday mornings (inbox overload), Friday afternoons (checked out).
## Angle Rotation
Each follow-up must stand alone while building toward the goal. Never just "bump this up."
| Email | Angle | Purpose |
| ----------- | ---------------------------------------------------------- | -------------------------- |
| Initial | Personalized hook + core value prop + soft CTA | Introduce problem/solution |
| Follow-up 1 | Different angle, new value piece (stat, insight, resource) | Show additional benefit |
| Follow-up 2 | Social proof / case study from similar company | Build credibility |
| Follow-up 3 | New insight, industry trend, or relevant resource | Demonstrate expertise |
| Follow-up 4 | Breakup — acknowledge silence, leave door open | Trigger loss aversion |
Add only **one new value proposition per email** (SalesBread). This naturally forces different angles.
## The Breakup Email
Leverages loss aversion — removing pressure while creating scarcity through withdrawal. Close.com reports **1015% response rates** from breakup emails with cold prospects.
**Structure:**
1. Acknowledge you've reached out multiple times
2. Validate their potential lack of interest
3. State this is your final email for now
4. Leave the door open
**Example:**
> I haven't heard back, so I'll assume now isn't the right time. Before I close the loop: [1-sentence insight or resource]. If that changes things, feel free to reply. Otherwise, no hard feelings — good luck with [their goal].
**1-2-3 Format** (reduces friction to near zero):
> Since I haven't heard back, I'll keep it simple. Reply with a number:
>
> 1 — Interested, let's talk
> 2 — Not now, check back in 3 months
> 3 — Not interested, please stop
**Critical rule:** If you send a breakup email, honor it. Do not contact the prospect again.
## Phrases That Kill Response Rates
- "I never heard back" → **12% drop** in meeting booking rate (Gong)
- "Just checking in" → Zero value, signals laziness
- "Bumping this to the top of your inbox" → Presumptuous
- "Did you see my last email?" → Guilt-tripping
- "Following up on my previous message" → Generic, adds nothing
## CTA Adjustment by Seniority
**Executives/founders:** Ultra-low-effort, curiosity-driven. "Curious?" or "Worth 2 min?"
**Mid-level managers:** More specific value. "Want me to walk through how [Company] saved 15 hours/week?"
Higher in the org chart = less friction you can ask for.
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# Cold Email Copywriting Frameworks
Frameworks beat templates — they teach thinking patterns, not copy-paste shortcuts.
## PAS — Problem, Agitate, Solution (default)
**Structure:** Identify pain → Amplify consequences → Present solution + soft CTA.
**Best for:** Problem-aware but not solution-aware prospects. The workhorse framework.
> Most VP Sales at companies your size spend 5+ hours/week on manual CRM reporting. That's 250+ hours/year not spent coaching reps — and often means inaccurate forecasts reaching leadership. We built a tool that auto-generates CRM reports in real time. Teams like Datadog reduced reporting time by 80%. Would it make sense to see how?
## BAB — Before, After, Bridge
**Structure:** Current painful situation → Ideal future → Your product as the bridge.
**Best for:** Transformation-driven offers with clear before/after. Emotional decision-makers.
> Right now, your team is likely spending hours manually sourcing leads — feast or famine each quarter. Imagine qualified leads arriving daily on autopilot, reps spending 100% of their time selling. That's what our platform does. Companies like HubSpot saw a 40% pipeline increase within 90 days. Can I show you how?
## QVC — Question, Value, CTA
**Structure:** Targeted pain question → Brief value → Direct next step.
**Best for:** C-suite prospects who prefer brevity. Qualify interest immediately.
> Are your SDRs spending more time researching than selling? We help sales teams automate prospect research so reps focus on conversations. Clients see 3x more meetings per rep per week. Worth a 10-minute demo?
## AIDA — Attention, Interest, Desire, Action
**Structure:** Hook/stat → Address specific challenge → Social proof/outcome → Clear CTA.
**Best for:** Data-driven prospects, high-ticket pitches with strong stats.
> Companies in pharma lose 30% of leads due to manual outreach. Given {{Company}}'s growth this quarter, pipeline velocity is likely top of mind. Customers like Pfizer use our platform to automate lead qualification — cutting time-to-contact by 60%. Worth a 15-minute call?
## PPP — Praise, Picture, Push
**Structure:** Genuine compliment → How things could be better → Gentle push to action.
**Best for:** Senior prospects who respond to relationship-building. Requires genuine trigger.
> Your keynote on scaling SDR teams was spot-on — especially on ramp time as the hidden cost. What if you could cut that in half? Our in-inbox coach helps new reps write effective emails from day one with real-time scoring. Open to a quick chat about how this could support your growth?
## Star-Story-Solution
**Structure:** Introduce character (customer) → Tell challenge narrative → Reveal results.
**Best for:** Strong customer success stories. Humanizes the pitch.
> Last year, Sarah — VP Sales at a Series B startup — had 5 SDRs competing against a rival with 20. Her team was getting crushed on volume. They adopted our AI prospecting tool and sent hyper-personalized emails at 3x pace without losing quality. Within 90 days, they booked more meetings than their competitor's entire team. Happy to share how this could work for {{Company}}.
## SCQ — Situation, Complication, Question
**Structure:** Current reality → Complicating challenge → Question that speaks to need → Optional answer.
**Best for:** Consultative selling. Mirrors how professionals present to leadership.
> Your team doubled this year. That usually means onboarding is eating into selling time. How are you handling ramp for new hires?
## ACCA — Awareness, Comprehension, Conviction, Action
**Structure:** Contrarian hook → Explain benefit simply → Provide proof → Strong CTA.
**Best for:** Analytical buyers who need evidence (engineers, CFOs, ops leaders).
> Most sales teams measure rep activity. The top 5% measure rep efficiency instead. When Acme switched, they booked 40% more meetings with fewer emails. Worth seeing how?
## 3C's (Alex Berman)
**Structure:** Compliment → Case Study → CTA.
**Best for:** Agency/services cold outreach. Case study does the heavy lifting.
> Big fan of [Company]. We just built an app for [Competitor] that does XYZ. I have a few more ideas. Interested?
## Mouse Trap (Lavender/Will Allred)
**Structure:** Observation + Binary value-prop question. 12 sentences total.
**Best for:** Maximum brevity. Impulsive reply based on curiosity.
> Looks like you're hiring reps. Would it be helpful to get a more granular look at how they're ramping on email?
## Justin Michael Method
**Structure:** Trigger/Pain → Solution hint → Binary CTA. 13 sentences, no intro.
**Best for:** High-velocity SDR teams. Mobile-optimized. Deliberately polarizing.
Spend max 1 minute on personalization. Use industry/persona-level signals. For top-tier prospects, quote their own words from interviews — they almost always respond.
## Vanilla Ice Cream (Lavender)
**Structure:** Observation → Problem/Insight → Credibility → Solution → Call-to-Conversation.
**Best for:** Universal "base" framework that works everywhere. Five parts.
## PASTOR (Ray Edwards)
**Structure:** Problem → Amplify → Story → Testimony → Offer → Response.
**Best for:** Longer-form or multi-email sequences. Consulting, education, complex B2B services. Each element can be developed across separate touches.
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# Personalization at Scale
Personalization drives **50250% more replies** (Lavender). The key insight: **if your personalization has nothing to do with the problem you solve, it's just an attention hack** (Clay).
## Four Levels of Personalization
### Level 1 — Basic (merge tags)
First name, company name, job title. Table stakes, no longer differentiating. ~5% lift.
### Level 2 — Industry/segment
Industry-specific pain points, trends, regulatory challenges. Scalable via micro-segmentation.
> Most {{industry}} teams struggle with {{lead gen problem}}, which often leads to wasted effort.
### Level 3 — Role-level
Challenges specific to their role and seniority.
> As Head of Sales, keeping pipeline steady is probably your biggest headache. Your RevOps team is small, so you're likely wearing multiple hats during scaling.
### Level 4 — Individual (gold standard)
Specific, timely observations about that person connected to the problem you solve.
> Noticed you're hiring 3 SDRs — sounds like you're scaling outbound fast. Most teams hit follow-up fatigue during onboarding.
## Research Signal Stack
| Signal | Where to find it | How to use it |
| ----------------- | ---------------------------------- | ---------------------------------------------------------------------------- |
| Recent funding | Crunchbase, LinkedIn, press | "Congrats on Series B — scaling teams fast usually creates X challenge" |
| Job postings | LinkedIn Jobs, careers page | "Noticed you're hiring 3 SDRs — sounds like you're scaling outbound" |
| Tech stack | BuiltWith, Wappalyzer, HG Insights | "I see you're using HubSpot — most teams at your stage hit a ceiling with X" |
| LinkedIn activity | Posts, comments, job changes | "Really enjoyed your post about X" |
| Company news | Google News, press releases | "Congrats on acquiring X — integrating teams usually creates Y challenge" |
| Podcast/talks | Google, YouTube, podcasts | "Caught your talk at SaaStr on X — really insightful" |
| Website changes | Manual review | "Your new pricing page caught my eye — curious how it's converting" |
## The 3-Minute Personalization System
From "30 Minutes to President's Club":
**Step 1:** Build a research stack of top 10 buying signals — 5 company triggers, 5 person triggers. Stack-rank by relevance.
**Step 2:** Build a 3x3 template: (1) personalization attached to a problem, (2) problem you solve, (3) one-sentence solution + low-friction CTA.
**Step 3:** Create 5 "trigger templates" — pre-written personalization paragraphs for each trigger, with a smooth segue into the problem.
The personalization must logically connect to the problem. This creates 5 reusable triggers with the rest of the email constant. A top SDR writes a personalized email in **under 3 minutes**.
## The Four -Graphic Principles (Becc Holland)
- **Demographic** — Age, profession, background
- **Technographic** — Tech stack, tools used
- **Firmographic** — Company size, funding, industry, growth stage
- **Psychographic** — Values, passions, beliefs (highest-impact dimension)
Tapping into what prospects are passionate about drives significantly higher response rates.
## Observation-Based Openers (highest performing)
**Trigger-event:** "Congrats on the recent funding round — scaling the team from here is exciting, and I imagine [challenge] is top of mind."
**Observation:** "Your recent post about [topic] resonated — especially the part about [detail]. Got me thinking about how that applies to [challenge]."
**Industry insight:** "Most [role titles] I talk to spend [X hours/week] on [problem] — curious if that matches your experience at [Company]."
## What Feels Fake (avoid)
- AI-generated emails with similar phrasing ("I hope this email finds you well")
- Generic attention hacks disconnected from problem ("Cool that you went to UCLA!" → pitch)
- Over-personalizing to creepiness
- "I saw your LinkedIn profile and wanted to reach out" — signals mass automation
## The "So What?" Test
After writing any opening line, read from prospect's perspective: "So what? Why would I care?" If the answer is nothing, rewrite.
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# Subject Line Optimization
The subject line determines whether the email gets read. The data is counterintuitive: **short, boring, internal-looking subject lines win decisively.**
## Length: 24 words
- 2-word subject lines get **60% more opens** than 5-word (Lavender).
- Going from 2 to 4 words reduces replies by **17.5%**.
- 24 words yield **46% open rates** vs 34% for 10 words (Belkins, 5.5M emails).
- Mobile truncates at 3035 characters — brevity is practical necessity.
## Internal Camouflage Principle
Subject lines that look like they came from a colleague, not a vendor, double open rates (Gong). Buyers mentally categorize before opening — if it looks like sales, it's filtered.
**High-performing examples:** "reply rates" · "trial delays" · "hiring ops" · "employee turnover" · "Q2 forecast" · "new patients" · "personalization issue" · "second page"
## Capitalization: lowercase wins
All-lowercase has highest open rates (Gong, 85M+ emails). Lowercase looks more personal/internal. For cold outreach specifically, lowercase beats title case.
## Personalization: context over name
Personalized subject lines boost opens **2650%**, but type matters:
- **First name in subject line → 12% fewer replies.** Signals automation.
- **Contextual personalization works:** pain points, competitors, trigger events, industry challenges.
- Use {{painPoint}}, {{competitor}}, {{commonGround}} — not {{firstName}}.
## Questions: only when highly specific
Data conflicts: Belkins says questions perform well (46% open rate). Lavender says questions lower opens by **56%**. Resolution: **specific pain questions work** ("Need help with {{challenge}}?"), **generic questions fail** ("Quick question?" / "Have 15 minutes?"). Default to statements.
## What to Avoid
| Anti-pattern | Impact |
| ---------------------------------------------- | --------------------------- |
| Salesy language ("increase," "boost," "ROI") | -17.9% opens |
| Urgency words ("ASAP," "urgent") | Below 36% opens |
| Excessive punctuation ("!!!" or "??") | -36% opens |
| Numbers and percentages | -46% opens |
| Emojis | Hurt B2B professionalism |
| Pitching product in subject | -57% replies |
| Empty/no subject line | +30% opens but -12% replies |
| Spam triggers ("free," "guarantee," "act now") | Deliverability risk |
## C-Suite Subject Lines
Executives receive 300400 emails daily, decide in seconds. They respond **23% more often** than non-C-suite when emails pass their filter (6.4% reply rate).
What works: ultra-concise, human, understated. "{{companyInitiative}}" · "thank you" · "an update" · "a question" · reference to a specific project or trigger event.
Anything "salesy" is immediately rejected.
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---
name: community-marketing
description: "Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit, build brand advocates, increase word-of-mouth, drive community-led growth, engage users post-signup, or turn customers into evangelists. Trigger phrases: \"build a community,\" \"community strategy,\" \"Discord community,\" \"Slack community,\" \"community-led growth,\" \"brand advocates,\" \"user community,\" \"forum strategy,\" \"community engagement,\" \"grow our community,\" \"ambassador program,\" \"community flywheel.\""
metadata:
version: 2.0.0
---
# Community Marketing
You are an expert community builder and community-led growth strategist. Your goal is to help the user design, launch, and grow a community that creates genuine value for members while driving measurable business outcomes.
## Before You Start
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered.
Understand the situation (ask if not provided):
1. **What is the product or brand?** — What problem does it solve, who uses it
2. **What community platform(s) are in play?** — Discord, Slack, Circle, Reddit, Facebook Groups, forum, etc.
3. **What stage is the community at?** — Pre-launch, 0100 members, 1001k, scaling, or established
4. **What is the primary community goal?** — Retention, activation, word-of-mouth, support deflection, product feedback, revenue
5. **Who is the ideal community member?** — Role, motivation, what they hope to get from joining
Work with whatever context is available. If key details are missing, make reasonable assumptions and flag them.
---
## Community Strategy Principles
### Build around a shared identity, not just a product
The strongest communities are built around who members *are* or aspire to be — not around your product. Members join because of the product but stay because of the people and identity.
Examples:
- Indie hackers (identity: bootstrapped founders)
- r/homelab (identity: tinkerers who self-host)
- Figma community (identity: designers who care about craft)
Always define: **What identity does this community reinforce for its members?**
### Value must flow to members first
Every community touchpoint should answer: *What does the member get from this?*
- Exclusive knowledge or early access
- Peer connections they can't get elsewhere
- Recognition and status within a group they respect
- Direct influence on the product roadmap
- Career opportunities, visibility, or credibility
### The Community Flywheel
Healthy communities compound over time:
```
Members join → get value → engage → create content/help others
↑ ↓
←←←←← new members discover the community ←←
```
Design for the flywheel from day one. Every decision should ask: *Does this accelerate the loop or slow it down?*
---
## Playbooks by Goal
### Launching a Community from Zero
1. **Recruit 2050 founding members manually** — DM your most engaged users, beta testers, or fans. Don't open publicly until there is baseline activity.
2. **Set the culture explicitly** — Write community guidelines that describe the *vibe*, not just the rules. What does great participation look like here?
3. **Seed conversations before launch** — Pre-populate channels with 510 posts that model the behavior you want. Questions, wins, resources.
4. **Do things that don't scale at first** — Reply to every post. Welcome every new member by name. Host a weekly call. You are buying social proof.
5. **Define your core loop** — What action do you want members to take weekly? Make it easy and reward it publicly.
### Growing an Existing Community
1. **Audit where members drop off** — Are people joining but not posting? Posting once and disappearing? Identify the leaky stage.
2. **Create a new member journey** — A pinned welcome post, a #introduce-yourself channel, a DM or email from a community manager, a clear "start here" path.
3. **Surface member wins publicly** — Showcase user projects, testimonials, milestones. This reinforces identity and signals that participation has rewards.
4. **Run recurring community rituals** — Weekly threads (e.g., "What are you working on?"), monthly AMAs, seasonal challenges. Rituals create habit.
5. **Identify and invest in power users** — 1% of members generate 90% of value. Give them recognition, early access, moderator roles, or direct product input.
### Building a Brand Ambassador / Advocate Program
1. **Identify candidates** — Look for people who already recommend you unprompted. Check reviews, social mentions, community posts.
2. **Make the ask personal** — Don't send a generic form. Reach out 1:1 and explain why you chose them specifically.
3. **Offer meaningful benefits** — Exclusive access, swag, revenue share, or public recognition — not just "early access to features."
4. **Give them tools and content** — Referral links, shareable assets, key talking points, a private Slack channel.
5. **Measure and iterate** — Track referral traffic, signups, and engagement driven by advocates. Double down on what works.
### Community-Led Support (Deflection + Retention)
1. **Create a searchable knowledge base** from top community questions
2. **Recognize members who help others** — "Community Expert" badges, leaderboards, shoutouts
3. **Close the loop with product** — When community feedback drives a change, announce it publicly and credit the members who raised it
4. **Monitor sentiment weekly** — Look for patterns in complaints or confusion before they become churn signals
---
## Platform Selection Guide
| Platform | Best For | Watch Out For |
|----------|----------|---------------|
| Discord | Developer, gaming, creator communities; real-time chat | High noise, hard to search, onboarding friction |
| Slack | B2B / professional communities; familiar to SaaS buyers | Free tier limits history; feels like work |
| Circle | Creator or course-based communities; clean UX | Less organic discovery; requires driving traffic |
| Reddit | High-volume public communities; SEO benefit | You don't own it; moderation is hard |
| Facebook Groups | Consumer brands; older demographics | Declining organic reach; algorithm dependent |
| Forum (Discourse) | Long-form technical communities; SEO-rich | Slower velocity; higher effort to post |
---
## Community Health Metrics
Track these signals weekly:
- **DAU/MAU ratio** — Stickiness. Above 20% is healthy for most communities.
- **New member post rate** — % of new members who post within 7 days of joining
- **Thread reply rate** — % of posts that receive at least one reply
- **Churn / lurker ratio** — Members who joined but haven't posted in 30+ days
- **Content created by non-staff** — % of posts not written by the company team
**Warning signs:**
- Most posts are from the company team, not members
- Questions go unanswered for >24 hours
- The same 5 people account for 80%+ of engagement
- New members stop posting after their intro message
---
## Output Formats
Depending on what the user needs, produce one of:
- **Community Strategy Doc** — Platform choice, identity definition, core loop, 90-day launch plan
- **Channel Architecture** — Recommended channels/categories with purpose and posting guidelines for each
- **New Member Journey** — Welcome sequence: pinned post, DM template, first-week prompts
- **Community Ritual Calendar** — Weekly/monthly recurring events and threads
- **Ambassador Program Brief** — Criteria, benefits, outreach template, tracking plan
- **Health Audit Report** — Current metrics, diagnosis, top 3 priorities to fix
Always be specific. Generic advice ("be consistent," "provide value") is not useful. Give the user something they can act on today.
---
## Task-Specific Questions
1. What platform are you building on (or considering)?
2. What stage is the community at? (Pre-launch, early, growing, established)
3. What's the primary business goal? (Retention, activation, word-of-mouth, support deflection)
4. Who is the ideal community member and what motivates them?
5. Do you have existing users or customers to seed from?
6. How much time can you dedicate to community management weekly?
---
## Related Skills
- **referrals**: For structured referral and ambassador incentive programs
- **churn-prevention**: For retention strategies that complement community engagement
- **social**: For content creation across social platforms
- **customer-research**: For understanding your community members' needs and language
@@ -0,0 +1,89 @@
{
"skill_name": "community-marketing",
"evals": [
{
"id": 1,
"prompt": "We're a B2B SaaS that wants to start a community. Should we use Discord or Slack?",
"expected_output": "Should check for product-marketing.md first. Should apply the platform selection guide. Should recommend Slack for B2B SaaS communities — familiar to SaaS buyers, professional context — but flag the trade-offs: free tier history limits, can feel like work. Should explain Discord is stronger for developer, gaming, or creator communities with real-time chat needs. Should consider the audience identity: if buyers are professionals during workday, Slack fits the moment; if they're hobbyists or developers, Discord may work. Should ask the user about their ideal community member and primary goal before fully committing. Should also note Circle as an alternative if they want clean UX without platform baggage.",
"assertions": [
"Checks for product-marketing.md",
"Recommends Slack for B2B context",
"Notes Slack free tier limitations",
"Compares Discord use case",
"Mentions Circle or other alternatives",
"Asks about audience identity or goal"
],
"files": []
},
{
"id": 2,
"prompt": "We just launched our community 3 weeks ago. We have 40 members but only 2-3 people post regularly. Everyone else just lurks. What do we do?",
"expected_output": "Should diagnose this as the 'launching from zero' stage and apply that playbook. Should audit where members drop off and identify the 'leaky stage' — in this case, new member activation. Should recommend specific tactics: do things that don't scale (DM every new member personally, welcome them by name, host a weekly call), create a new member journey (pinned welcome post, #introduce-yourself channel, 'start here' path), seed conversations (post 5-10 messages modeling the behavior you want), define the core loop (what action should members take weekly), surface member wins publicly. Should warn that 1% of members typically generate 90% of value at this stage — identifying and investing in those few power users matters more than chasing the lurkers. Should reference the warning signs: most posts from company team is a red flag.",
"assertions": [
"Diagnoses as launch-stage / new member activation problem",
"Applies 'launching from zero' playbook",
"Recommends DMs to new members",
"Recommends new member journey design",
"Recommends seeding conversations",
"Mentions the 1% / 90% power user dynamic",
"Mentions warning sign of company-dominated posts"
],
"files": []
},
{
"id": 3,
"prompt": "Help me write community guidelines for our Discord. We're building a community for indie game developers.",
"expected_output": "Should apply 'build around a shared identity' principle — the community is for indie game devs, the identity is being a scrappy maker shipping games. Should write guidelines that describe the *vibe*, not just the rules. Should answer: what does great participation look like here? Should include both rules (no spam, no harassment, no piracy) AND aspirational guidance (share works-in-progress freely, give constructive feedback, lift other devs up). Should reinforce the identity throughout. Should keep the tone matching the audience — indie game devs respond to plainspoken, no-corporate-speak. May suggest channels structure that reinforces the identity (e.g., #devlog, #playtest-requests, #publishing-tips).",
"assertions": [
"Reinforces shared identity (indie game devs)",
"Describes vibe, not just rules",
"Includes both rules and aspirational guidance",
"Tone matches audience (indie maker)",
"May suggest channel structure"
],
"files": []
},
{
"id": 4,
"prompt": "Design an ambassador program for our community. We have about 5,000 members and a few that always help others. Want to give them more recognition.",
"expected_output": "Should apply the 'Building a Brand Ambassador / Advocate Program' playbook. Should recommend: identify candidates by looking at who already recommends and helps unprompted (check posts, replies, reviews, social mentions), make the ask personal 1:1 and explain why you chose them specifically, offer meaningful benefits beyond 'early access' (exclusive access, swag, revenue share, public recognition, direct product input), give them tools (referral links, shareable assets, talking points, private Slack channel), measure and iterate (track referral traffic, signups, engagement driven by advocates). Should cross-reference referrals skill for structured incentive programs. Should warn against generic forms and impersonal asks.",
"assertions": [
"Identifies candidates from existing helpful behavior",
"Recommends personal 1:1 ask",
"Suggests meaningful benefits beyond early access",
"Mentions tools/assets to enable advocates",
"Includes measurement plan",
"May cross-reference referrals skill"
],
"files": []
},
{
"id": 5,
"prompt": "Our community feels dead. Members joined 6 months ago but most haven't posted in months. How do I tell if it's salvageable?",
"expected_output": "Should run the Health Audit Report output format. Should reference the community health metrics: DAU/MAU ratio (above 20% is healthy), new member post rate (% who post within 7 days), thread reply rate, churn / lurker ratio, % of content created by non-staff. Should list the warning signs: most posts from company team, questions go unanswered >24 hours, same 5 people account for 80%+ of engagement, new members stop posting after intro. Should recommend audit steps to diagnose: pull the metrics, look at posting patterns, talk to disengaged members. Should give honest assessment criteria — sometimes the answer is to relaunch with a new identity, sometimes a few rituals can revive it. Should propose the top 3 priorities to fix based on common patterns.",
"assertions": [
"Uses Health Audit Report format",
"References specific health metrics with benchmarks",
"Lists warning signs",
"Recommends concrete audit steps",
"Considers that some communities can't be saved",
"Proposes top 3 priorities"
],
"files": []
},
{
"id": 6,
"prompt": "We use our community mainly for support. How do we reduce ticket volume without making customers feel ignored?",
"expected_output": "Should apply the 'Community-Led Support (Deflection + Retention)' playbook. Should recommend: create a searchable knowledge base from top community questions, recognize members who help others (Community Expert badges, leaderboards, shoutouts — this incentivizes peer support), close the loop with product (when community feedback drives a change, announce it publicly and credit members), monitor sentiment weekly to catch churn signals early. Should note that community-led support works best when peer answers are recognized as valuable, not as a way to dodge company responsibility. Should warn against the warning sign of questions going unanswered >24 hours.",
"assertions": [
"Applies community-led support playbook",
"Recommends searchable knowledge base from community Q&A",
"Recommends recognizing peer helpers",
"Mentions closing the loop with product",
"Warns about unanswered questions threshold",
"Notes peer support must feel valued, not used"
],
"files": []
}
]
}
+411
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@@ -0,0 +1,411 @@
---
name: competitor-profiling
description: "When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement."
metadata:
version: 2.0.0
---
# Competitor Profiling
You are an expert competitive intelligence analyst. Your goal is to take a list of competitor URLs and produce comprehensive, structured competitor profile documents by combining live site scraping with SEO and market data.
## Initial Assessment
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered.
Before profiling, confirm:
1. **Competitor URLs** — the list of competitor website URLs to profile
2. **Your product** — what you do (if not in product marketing context)
3. **Depth level** — quick scan (key facts only) or deep profile (full research)
4. **Focus areas** — any specific dimensions to prioritize (e.g., pricing, positioning, SEO strength, content strategy)
If the user provides URLs and context is available, proceed without asking.
---
## Core Principles
### 1. Facts Over Opinions
Every claim in a profile should be traceable to a source — scraped page content, review data, or SEO metrics. Label inferences clearly.
### 2. Structured and Comparable
All profiles follow the same template so they can be compared side by side. Consistency matters more than completeness on any single profile.
### 3. Current Data
Profiles are snapshots. Always include the date generated. Flag anything that looks stale (e.g., "pricing page last updated 2023").
### 4. Honest Assessment
Don't exaggerate competitor weaknesses or downplay their strengths. Accurate profiles are useful profiles.
---
## Saving Raw Data
Before synthesizing the profile, persist all raw scrape, SEO, and review data to disk so it can be re-read, audited, or re-used later without re-running expensive API calls.
**Directory layout** (relative to project root):
```
competitor-profiles/
├── raw/
│ └── <competitor-slug>/
│ └── <YYYY-MM-DD>/
│ ├── scrapes/ # one .md file per scraped page (homepage.md, pricing.md, ...)
│ ├── seo/ # one .json file per DataForSEO call (backlinks-summary.json, ranked-keywords.json, ...)
│ └── reviews/ # one .md or .json file per review source (g2.md, capterra.md, ...)
├── <competitor-slug>.md # final synthesized profile
└── _summary.md # cross-competitor summary
```
Rules:
- `<competitor-slug>` is lowercase, hyphenated (e.g. `responsehub`, `safe-base`)
- `<YYYY-MM-DD>` is the date the data was pulled — supports re-running and diffing snapshots over time
- Save each Firecrawl scrape as raw markdown to `scrapes/<page-name>.md`
- Save each DataForSEO response as raw JSON to `seo/<endpoint-name>.json`
- Save each review source to `reviews/<source>.md` (cleaned text) or `.json` (raw)
- Always create the date folder fresh on a new run; never overwrite a prior date's data
The synthesized profile (`<competitor-slug>.md`) should reference the raw data folder it was built from in its `## Raw Data Sources` section.
---
## Research Process
### Phase 1: Site Scraping (Firecrawl)
For each competitor URL, scrape key pages to extract positioning, features, pricing, and messaging.
#### Step 1: Map the site
Use **Firecrawl Map** to discover the competitor's site structure and identify key pages:
```
firecrawl_map → competitor URL
```
From the map, identify and prioritize these page types:
- Homepage
- Pricing page
- Features / product pages
- About / company page
- Blog (top-level, for content strategy signals)
- Customers / case studies page
- Integrations page
- Changelog / what's new (if exists)
#### Step 2: Scrape key pages
Use **Firecrawl Scrape** on each identified page:
```
firecrawl_scrape → each key page URL
```
Save each result to `competitor-profiles/raw/<competitor-slug>/<YYYY-MM-DD>/scrapes/<page-name>.md` before extracting fields.
Extract from each page:
| Page | What to Extract |
|------|----------------|
| **Homepage** | Headline, subheadline, value proposition, primary CTA, social proof claims, target audience signals |
| **Pricing** | Tiers, prices, feature breakdown per tier, billing options, free tier/trial details, enterprise pricing signals |
| **Features** | Feature categories, key capabilities, how they describe each feature, screenshots/demo signals |
| **About** | Founding story, team size, funding, mission statement, headquarters |
| **Customers** | Named customers, logos, industries served, case study themes |
| **Integrations** | Integration count, key integrations, categories |
| **Changelog** | Release velocity, recent focus areas, product direction signals |
#### Step 3: Scrape competitor reviews (optional but high-value)
Use **Firecrawl Scrape** or **Firecrawl Search** to find:
- G2 reviews page for the competitor
- Capterra reviews page
- Product Hunt launch page
- TrustRadius profile
Save each scraped review page to `competitor-profiles/raw/<competitor-slug>/<YYYY-MM-DD>/reviews/<source>.md`. Then extract: overall rating, review count, common praise themes, common complaint themes, and 3-5 representative quotes.
---
### Phase 2: SEO & Market Data (DataForSEO)
Use DataForSEO MCP tools to gather quantitative competitive intelligence. Save each raw response as JSON to `competitor-profiles/raw/<competitor-slug>/<YYYY-MM-DD>/seo/<endpoint-name>.json` before parsing it into the profile. For the full list of MCP tools used in this skill (Firecrawl + DataForSEO) and example calls, see [references/tool-reference.md](references/tool-reference.md).
#### Domain Authority & Backlinks
Use **backlinks_summary** to get:
- Domain rank / authority score
- Total backlinks
- Referring domains count
- Spam score
Use **backlinks_referring_domains** for:
- Top referring domains (quality signals)
- Link acquisition patterns
#### Keyword & Traffic Intelligence
Use **dataforseo_labs_google_ranked_keywords** to get:
- Total organic keywords ranking
- Keywords in top 3, top 10, top 100
- Estimated organic traffic
Use **dataforseo_labs_google_domain_rank_overview** for:
- Domain-level organic metrics
- Estimated traffic value
- Top keywords by traffic
Use **dataforseo_labs_google_keywords_for_site** to discover:
- What keywords they target
- Content gaps vs. your site
#### Competitive Positioning Data
Use **dataforseo_labs_google_competitors_domain** to find:
- Their closest organic competitors (may reveal competitors you haven't considered)
- Market overlap data
Use **dataforseo_labs_google_relevant_pages** to find:
- Their highest-traffic pages
- Content that drives the most organic value
---
### Phase 3: Synthesis
Combine scraped content with SEO data to build the profile. Cross-reference claims (e.g., if they claim "10,000 customers" on site, check if their traffic/backlink profile supports that scale).
---
## Output Format
### Profile Document Structure
Generate one markdown file per competitor, saved to a `competitor-profiles/` directory in the project root.
**Filename**: `competitor-profiles/[competitor-name].md`
**For the full profile and summary templates**: See [references/templates.md](references/templates.md)
Each profile follows this structure:
```markdown
# [Competitor Name] — Competitor Profile
**URL**: [website]
**Generated**: [date]
**Depth**: [quick scan / deep profile]
---
## At a Glance
| Metric | Value |
|--------|-------|
| Tagline | [from homepage] |
| Founded | [year] |
| Headquarters | [location] |
| Team size | [estimate] |
| Funding | [if known] |
| Domain rank | [from DataForSEO] |
| Est. organic traffic | [monthly] |
| Referring domains | [count] |
| Organic keywords | [count] |
---
## Positioning & Messaging
**Primary value proposition**: [headline + subheadline from homepage]
**Target audience**: [who they're speaking to, based on copy analysis]
**Positioning angle**: [how they position — e.g., "simplicity-first," "enterprise-grade," "all-in-one"]
**Key messaging themes**:
- [theme 1 — with source page]
- [theme 2]
- [theme 3]
---
## Product & Features
### Core capabilities
- [capability 1] — [brief description from their site]
- [capability 2]
- ...
### Notable differentiators
- [what they emphasize as unique]
### Integrations
- [count] integrations
- Key: [list top 5-10]
### Product direction signals
- [based on changelog / recent feature releases]
---
## Pricing
| Tier | Price | Key Inclusions |
|------|-------|---------------|
| [Free/Starter] | [price] | [what's included] |
| [Pro/Growth] | [price] | [what's included] |
| [Enterprise] | [price] | [what's included] |
**Billing**: [monthly/annual, discount for annual]
**Free trial**: [yes/no, duration]
**Notable**: [any pricing quirks — per-seat, usage-based, hidden costs]
---
## Customers & Social Proof
**Named customers**: [list notable logos]
**Industries**: [primary industries served]
**Case study themes**: [what outcomes they highlight]
**Review ratings**:
- G2: [rating] ([count] reviews)
- Capterra: [rating] ([count] reviews)
---
## SEO & Content Strategy
**Organic strength**:
- Estimated monthly organic traffic: [number]
- Organic keywords (top 10): [count]
- Organic traffic value: $[estimated]
**Top organic pages** (by estimated traffic):
1. [page URL] — [keyword] — [est. traffic]
2. [page URL] — [keyword] — [est. traffic]
3. [page URL] — [keyword] — [est. traffic]
**Content strategy signals**:
- Blog post frequency: [estimate]
- Primary content types: [guides, comparisons, templates, etc.]
- Content focus areas: [topics they invest in]
**Backlink profile**:
- Referring domains: [count]
- Top referring sites: [list 5]
- Link acquisition pattern: [growing/stable/declining]
---
## Strengths & Weaknesses
### Strengths
- [strength 1 — with evidence source]
- [strength 2]
- [strength 3]
### Weaknesses
- [weakness 1 — with evidence source]
- [weakness 2]
- [weakness 3]
---
## Competitive Implications for [Your Product]
**Where they're strong vs. us**: [areas where this competitor has an advantage]
**Where we're strong vs. them**: [areas where you have an advantage]
**Opportunities**: [gaps in their offering or positioning we can exploit]
**Threats**: [areas where they're improving or gaining ground]
---
## Raw Data Sources
- Homepage scraped: [date]
- Pricing page scraped: [date]
- SEO data pulled: [date]
- Review data pulled: [date, sources]
```
---
### Summary Document
After profiling all competitors, generate a `competitor-profiles/_summary.md` that includes:
1. **Competitor landscape overview** — one paragraph summarizing the competitive field
2. **Comparison table** — key metrics side by side for all profiled competitors
3. **Positioning map** — where each competitor sits (e.g., simple↔complex, cheap↔premium)
4. **Key takeaways** — 3-5 strategic observations from the research
5. **Gaps and opportunities** — where the market is underserved
---
## Quick Scan vs. Deep Profile
### Quick Scan (faster, lower cost)
- Scrape: homepage + pricing page only
- SEO: domain rank overview + ranked keywords summary
- Skip: reviews, technology stack, backlink details
- Output: abbreviated profile (At a Glance + Positioning + Pricing + SEO summary)
### Deep Profile (comprehensive)
- Scrape: all key pages + review sites
- SEO: full backlink analysis + keyword intelligence + competitor discovery
- Include: technology stack, content strategy analysis, review mining
- Output: full profile template
Default to **quick scan** unless the user requests deep profiling or specifies a small number of competitors (3 or fewer).
---
## Handling Multiple Competitors
When profiling more than one competitor:
1. **Parallelize scraping** — scrape all competitors' homepages simultaneously, then pricing pages, etc.
2. **Use consistent metrics** — pull the same DataForSEO metrics for every competitor so profiles are comparable
3. **Build the summary last** — after all individual profiles are complete
4. **Prioritize by relevance** — if the user has 10+ competitors, suggest profiling the top 5 first based on domain overlap or market similarity
---
## Updating Profiles
Profiles are snapshots. When updating:
- Check pricing pages first (most volatile)
- Re-pull SEO metrics (traffic and rankings shift monthly)
- Scan changelog for product changes
- Update the "Generated" date
- Note what changed since last profile in a `## Change Log` section at the bottom
---
## Task-Specific Questions
Only ask if not answered by context or input:
1. What competitor URLs should I profile?
2. Quick scan or deep profile?
3. Any specific dimensions to focus on (pricing, SEO, positioning)?
4. Should I compare findings against your product?
---
## Related Skills
- **competitors**: For creating comparison/alternative pages from these profiles
- **customer-research**: For mining reviews and community sentiment in depth
- **content-strategy**: For using competitor content gaps to plan your own content
- **seo-audit**: For auditing your own site relative to competitors
- **sales-enablement**: For turning profiles into battle cards and sales collateral
- **ads**: For analyzing competitor ad strategies
- **pricing**: For deeper pricing analysis informed by competitor profiles
@@ -0,0 +1,85 @@
{
"skill_name": "competitor-profiling",
"evals": [
{
"id": 1,
"prompt": "Profile these three competitors for us: https://competitor1.com, https://competitor2.com, https://competitor3.com. We need this for sales enablement and to find positioning gaps.",
"expected_output": "Should check for product-marketing.md first. Should run the full research process: Phase 1 site scraping (Firecrawl map + scrape of homepage, pricing, features, about, customers, integrations, changelog), Phase 2 SEO and market data (DataForSEO for backlinks, ranked keywords, traffic, competitors), Phase 3 synthesis. Should save raw data to competitor-profiles/raw/<slug>/<YYYY-MM-DD>/ with scrapes/, seo/, reviews/ subfolders before synthesizing. Should produce one markdown file per competitor following the profile template (At a Glance, Positioning & Messaging, Product & Features, Pricing, Customers & Social Proof, SEO & Content Strategy, Strengths & Weaknesses, Competitive Implications). Should produce a _summary.md after individual profiles with comparison table, positioning map, key takeaways, gaps and opportunities. Should parallelize scraping when handling multiple competitors and use consistent metrics across all three for comparability.",
"assertions": [
"Checks for product-marketing.md",
"Runs all three phases (scraping, SEO data, synthesis)",
"Saves raw data to competitor-profiles/raw/ with date subfolder",
"Produces individual profile per competitor",
"Produces _summary.md after individual profiles",
"Uses consistent metrics across competitors",
"Parallelizes scraping when possible"
],
"files": []
},
{
"id": 2,
"prompt": "We have 12 competitors. Profile all of them.",
"expected_output": "Should recommend prioritizing rather than profiling all 12. Should suggest profiling the top 5 first based on domain overlap or market similarity (handling-multiple-competitors guidance). Should default to quick scan mode for a list this size, not deep profile. Should explain the difference: quick scan covers homepage + pricing + domain rank overview + ranked keywords summary, deep profile adds reviews, technology stack, backlink details. Should offer deep profile only if user requests or for 3 or fewer competitors. Should ask which competitors are highest priority if user wants to narrow further.",
"assertions": [
"Recommends prioritization over profiling all 12",
"Suggests top 5 based on relevance",
"Defaults to quick scan for large list",
"Explains quick scan vs deep profile difference",
"Asks user to prioritize"
],
"files": []
},
{
"id": 3,
"prompt": "I have an existing profile of Notion from 4 months ago. Should I update it or start fresh?",
"expected_output": "Should explain profile updating process from the Updating Profiles section. Should recommend updating rather than starting fresh — preserves history and enables diffing. Should explain what to re-pull: pricing page first (most volatile), SEO metrics (traffic and rankings shift monthly), changelog scan for product changes. Should update the Generated date. Should add a Change Log section at the bottom noting what changed since last profile. Should also save the new raw data to a new <YYYY-MM-DD> folder rather than overwriting prior data — supports diffing over time.",
"assertions": [
"Recommends updating over starting fresh",
"Lists what to re-pull (pricing, SEO, changelog)",
"Mentions adding Change Log section",
"Says to save raw data to new date folder",
"Says never overwrite prior date's data"
],
"files": []
},
{
"id": 4,
"prompt": "What pages should I scrape for a competitor profile?",
"expected_output": "Should list the prioritized page types from Phase 1: homepage, pricing page, features/product pages, about/company page, blog (top-level for content strategy signals), customers/case studies page, integrations page, changelog/what's new (if exists). Should explain what to extract from each: homepage (headline, value prop, primary CTA, social proof, target audience signals), pricing (tiers, prices, feature breakdown, billing options, free tier/trial details), features (categories, key capabilities, how they describe each feature), about (founding story, team size, funding, mission, HQ), customers (named customers, logos, industries, case study themes), integrations (count, key integrations, categories), changelog (release velocity, recent focus areas, product direction signals). Should mention optional review scraping (G2, Capterra, Product Hunt, TrustRadius).",
"assertions": [
"Lists all key page types in priority order",
"Specifies what to extract from each page type",
"Includes changelog as product direction signal",
"Mentions optional review scraping",
"References Firecrawl Map then Scrape workflow"
],
"files": []
},
{
"id": 5,
"prompt": "I want a profile but I don't care about SEO data — just pricing, positioning, and customer logos. Can you skip the DataForSEO calls?",
"expected_output": "Should accept the scoped request and skip Phase 2. Should run Phase 1 (Firecrawl scraping of homepage, pricing, customers pages) and Phase 3 synthesis only. Should explain that without SEO data, the profile won't include Domain Rank, organic traffic estimates, ranked keywords, referring domains, or top organic pages — but the positioning, pricing, and customer sections will be complete. Should produce an abbreviated profile flagging the SEO section as 'not collected per user request' rather than leaving placeholders. Should still save raw scrapes to disk for reuse.",
"assertions": [
"Skips Phase 2 (DataForSEO) as requested",
"Runs Phase 1 and Phase 3",
"Explains what's missing without SEO data",
"Flags SEO section as skipped, not blank",
"Still saves raw data"
],
"files": []
},
{
"id": 6,
"prompt": "Should I trust the customer logo wall on the competitor's homepage as evidence of who their customers are?",
"expected_output": "Should apply the 'Facts Over Opinions' and 'Honest Assessment' principles. Should explain that customer logos are a positioning claim, not necessarily an accurate customer breakdown — companies often show their best-known logos regardless of share of revenue. Should recommend cross-referencing: check case studies for actual usage details, search for press releases naming customers, look at customer reviews on G2/Capterra/TrustRadius for company name signals, check their LinkedIn for posts about customers. Should note: if they claim '10,000 customers' but have weak traffic/backlink profile, the claim should be flagged in the profile. Should distinguish between named customers (verifiable claims) and 'industries served' (positioning statement). Always include the date the data was pulled.",
"assertions": [
"Treats logos as positioning claim, not customer breakdown",
"Recommends cross-referencing case studies and reviews",
"Mentions checking traffic/backlink profile against claim scale",
"Distinguishes verifiable named customers from claims",
"Notes including date pulled"
],
"files": []
}
]
}
@@ -0,0 +1,167 @@
# Profile Templates
Ready-to-use templates for competitor profile sections and the summary document.
## Contents
- Quick Scan Template
- Summary Comparison Table
- Positioning Map
- Competitive SWOT
- Profile Update Changelog
---
## Quick Scan Template
Abbreviated profile for when speed matters more than depth.
```markdown
# [Competitor Name] — Quick Profile
**URL**: [website]
**Generated**: [date]
## At a Glance
| Metric | Value |
|--------|-------|
| Tagline | [from homepage] |
| Target audience | [inferred from copy] |
| Pricing starts at | [lowest paid tier] |
| Free tier/trial | [yes/no + details] |
| Domain rank | [from DataForSEO] |
| Est. organic traffic | [monthly] |
| Organic keywords (top 10) | [count] |
| Referring domains | [count] |
## Positioning
**Headline**: "[exact homepage headline]"
**Subheadline**: "[exact subheadline]"
**Positioning angle**: [1-2 sentence summary of how they position]
## Pricing Summary
| Tier | Price | Notable Inclusions |
|------|-------|-------------------|
| [tier] | [price] | [key items] |
| [tier] | [price] | [key items] |
## Key Takeaway
[2-3 sentences: what makes this competitor notable, where they're strong, where they're weak]
```
---
## Summary Comparison Table
Use after profiling all competitors to create a side-by-side view.
```markdown
# Competitive Landscape Summary
**Generated**: [date]
**Your product**: [name]
**Competitors profiled**: [count]
## Side-by-Side Comparison
| Dimension | [Your Product] | [Competitor 1] | [Competitor 2] | [Competitor 3] |
|-----------|---------------|----------------|----------------|----------------|
| **Tagline** | [yours] | [theirs] | [theirs] | [theirs] |
| **Target audience** | [yours] | [theirs] | [theirs] | [theirs] |
| **Positioning** | [angle] | [angle] | [angle] | [angle] |
| **Starting price** | $[X]/mo | $[X]/mo | $[X]/mo | $[X]/mo |
| **Free tier** | [yes/no] | [yes/no] | [yes/no] | [yes/no] |
| **Domain rank** | [score] | [score] | [score] | [score] |
| **Est. organic traffic** | [number] | [number] | [number] | [number] |
| **Referring domains** | [count] | [count] | [count] | [count] |
| **G2 rating** | [score] | [score] | [score] | [score] |
| **Key strength** | [one-liner] | [one-liner] | [one-liner] | [one-liner] |
| **Key weakness** | [one-liner] | [one-liner] | [one-liner] | [one-liner] |
```
---
## Positioning Map
Visual representation of where competitors sit along two key dimensions. Choose the two axes most relevant to your market.
### Common Axis Pairs
| Market Type | X-Axis | Y-Axis |
|-------------|--------|--------|
| SaaS tools | Simple → Complex | Cheap → Expensive |
| Developer tools | Low-code → Code-first | Individual → Team |
| B2B platforms | SMB-focused → Enterprise-focused | Point solution → Platform |
| Content tools | Template-driven → Custom | Self-serve → Managed |
### Format
```markdown
## Positioning Map
**Axes**: [X-axis label] vs. [Y-axis label]
[Y-axis high label]
[Competitor A] │ [Competitor B]
───────────────────────┼───────────────────────
[X-axis low] │ [X-axis high]
[Your Product] │ [Competitor C]
[Y-axis low label]
### Interpretation
- [1-2 sentences about what the map reveals]
- [where the whitespace / opportunity is]
```
---
## Competitive SWOT
Per-competitor SWOT relative to your product.
```markdown
## SWOT: [Competitor] vs. [Your Product]
### Strengths (theirs vs. ours)
- [Where they genuinely outperform us — be honest]
### Weaknesses (theirs vs. ours)
- [Where they fall short compared to us — with evidence]
### Opportunities (for us)
- [Gaps in their offering we can exploit]
- [Segments they're ignoring]
- [Messaging angles they're missing]
### Threats (from them)
- [Areas where they're improving fast]
- [Features they're building that overlap with us]
- [Market moves that could shift perception]
```
---
## Profile Update Changelog
Append to the bottom of any profile when updating it.
```markdown
---
## Change Log
| Date | What Changed | Source |
|------|-------------|--------|
| [date] | Pricing increased from $X to $Y | Pricing page re-scrape |
| [date] | Launched [feature] | Changelog scrape |
| [date] | Domain rank changed from X to Y | DataForSEO re-pull |
| [date] | Added [integration] | Integrations page re-scrape |
```
@@ -0,0 +1,179 @@
# MCP Tool Reference for Competitor Profiling
Quick reference for the Firecrawl and DataForSEO MCP tools used in competitor profiling.
## Contents
- Firecrawl Tools (site scraping)
- DataForSEO Tools (SEO & market data)
- Recommended Execution Order
- Error Handling
---
## Firecrawl Tools
### firecrawl_map
**Purpose**: Discover all URLs on a competitor's site to identify key pages.
**When to use**: First step for every competitor — before scraping individual pages.
**Key output**: List of URLs with their page types/paths.
**Tip**: Look for paths containing `/pricing`, `/features`, `/about`, `/customers`, `/integrations`, `/blog`, `/changelog`.
### firecrawl_scrape
**Purpose**: Extract content from a single page as clean markdown.
**When to use**: After mapping, scrape each key page individually.
**Key output**: Page content in markdown format — headlines, body text, structured data.
**Tip**: Scrape homepage first — it reveals positioning, audience, and social proof in one shot.
### firecrawl_search
**Purpose**: Search the web for specific content about a competitor.
**When to use**: Finding review pages, press coverage, or competitor mentions not on their own site.
**Example queries**:
- `"[Competitor Name]" site:g2.com`
- `"[Competitor Name]" review`
- `"[Competitor Name]" funding OR raised`
### firecrawl_crawl
**Purpose**: Crawl multiple pages from a site in one operation.
**When to use**: Deep profiles where you want to analyze many pages (e.g., all feature pages, all blog posts). More expensive — use selectively.
**Tip**: Set page limits to avoid crawling entire sites. Target specific URL patterns.
### firecrawl_extract
**Purpose**: Extract structured data from a page using a schema.
**When to use**: When you need specific data points in a consistent format (e.g., pricing tier details, feature lists).
**Tip**: Define a clear schema for what you want extracted — more reliable than parsing raw markdown.
---
## DataForSEO MCP Tools
### Domain-Level Intelligence
#### backlinks_summary
**Purpose**: Get domain authority, total backlinks, referring domains, spam score.
**Input**: Target domain (e.g., `competitor.com`)
**Key metrics**: `domain_rank`, `total_backlinks`, `referring_domains`, `backlinks_spam_score`
#### backlinks_referring_domains
**Purpose**: List top referring domains — shows where their link equity comes from.
**Input**: Target domain + limit
**Key metrics**: Per-domain: `rank`, `backlinks`, `domain` name
#### dataforseo_labs_google_domain_rank_overview
**Purpose**: Organic search overview — traffic, keywords, traffic value.
**Input**: Target domain
**Key metrics**: `organic_count` (keywords), `organic_traffic` (estimated monthly), `organic_cost` (traffic value in $)
#### dataforseo_labs_google_ranked_keywords
**Purpose**: What keywords a domain ranks for, with positions.
**Input**: Target domain
**Key metrics**: Per-keyword: `keyword`, `position`, `search_volume`, `url` (ranking page)
**Tip**: Sort by traffic to find their highest-value keywords.
#### dataforseo_labs_google_keywords_for_site
**Purpose**: Keywords relevant to a domain — broader than ranked keywords, includes opportunities.
**Input**: Target domain
**Key metrics**: `keyword`, `search_volume`, `competition`, `cpc`
### Competitive Analysis
#### dataforseo_labs_google_competitors_domain
**Purpose**: Find a domain's closest organic competitors by keyword overlap.
**Input**: Target domain
**Key metrics**: `domain`, `avg_position`, `intersections` (shared keywords), `full_domain_rank`
**Tip**: May reveal competitors the user hasn't considered.
#### dataforseo_labs_google_domain_intersection
**Purpose**: Find keywords where two domains both rank — shows direct competition.
**Input**: Two target domains
**Key metrics**: `keyword`, position for each domain, `search_volume`
**Tip**: Use this to compare the user's domain vs. each competitor.
#### dataforseo_labs_google_relevant_pages
**Purpose**: Find a domain's most important pages by organic traffic.
**Input**: Target domain
**Key metrics**: `page`, `metrics` (traffic, keywords per page)
**Tip**: Reveals their content strategy — which pages drive the most value.
### Technology Detection
#### domain_analytics_technologies_domain_technologies
**Purpose**: Detect the technology stack a domain uses.
**Input**: Target domain
**Key metrics**: Technologies grouped by category (CMS, analytics, marketing, payments, etc.)
### Backlink Deep Dive
#### backlinks_backlinks
**Purpose**: List individual backlinks to a domain.
**Input**: Target domain + limit
**Key metrics**: `url_from`, `url_to`, `anchor`, `domain_from_rank`, `is_new`
#### backlinks_bulk_ranks
**Purpose**: Compare domain ranks across multiple domains at once.
**Input**: Array of target domains
**Key metrics**: `domain_rank` per domain
**Tip**: Use this for the summary comparison table.
---
## Recommended Execution Order
### Quick Scan (per competitor)
```
1. firecrawl_map → get site URLs
2. In parallel:
a. firecrawl_scrape → homepage
b. firecrawl_scrape → pricing page
c. dataforseo_labs_google_domain_rank_overview → organic metrics
d. backlinks_summary → domain authority
3. Synthesize into abbreviated profile
```
### Deep Profile (per competitor)
```
1. firecrawl_map → get site URLs
2. In parallel (batch 1 — scraping):
a. firecrawl_scrape → homepage
b. firecrawl_scrape → pricing page
c. firecrawl_scrape → features page(s)
d. firecrawl_scrape → about page
e. firecrawl_scrape → customers/case studies page
f. firecrawl_scrape → integrations page
3. In parallel (batch 2 — SEO data):
a. dataforseo_labs_google_domain_rank_overview
b. dataforseo_labs_google_ranked_keywords
c. backlinks_summary
d. backlinks_referring_domains
e. dataforseo_labs_google_relevant_pages
f. dataforseo_labs_google_competitors_domain
4. In parallel (batch 3 — optional extras):
a. domain_analytics_technologies_domain_technologies
b. firecrawl_search → G2/Capterra reviews
c. dataforseo_labs_google_domain_intersection (vs. user's domain)
5. Synthesize into full profile
```
### Multi-Competitor (3+ competitors)
```
1. Map all competitor sites in parallel
2. Scrape all homepages in parallel, then pricing pages in parallel
3. Pull domain_rank_overview for all in parallel
4. Pull backlinks_bulk_ranks for all at once
5. Build profiles in sequence (synthesis requires focus)
6. Build summary comparison last
```
---
## Error Handling
| Issue | Action |
|-------|--------|
| Firecrawl scrape returns empty/blocked | Try with `firecrawl_browser_create` for JS-heavy sites |
| Pricing page not found in map | Search for `/pricing`, `/plans`, `/packages` — some sites use different paths |
| DataForSEO returns no data for domain | Domain may be too new or too small — note "insufficient data" in profile |
| Rate limits hit | Space out requests; prioritize highest-value data first |
| Review page scraping blocked | Use `firecrawl_search` to find cached or alternative review sources |
@@ -1,7 +1,8 @@
---
name: competitor-alternatives
version: 1.0.0
description: "When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables."
name: competitors
description: "When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'how do we compare to X,' 'battle card,' or 'competitor teardown.' Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For sales-specific competitor docs, see sales-enablement."
metadata:
version: 2.0.0
---
# Competitor & Alternative Pages
@@ -11,7 +12,7 @@ You are an expert in creating competitor comparison and alternative pages. Your
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before creating competitor pages, understand:
@@ -251,4 +252,5 @@ Recommended pages to create with priority order based on search volume.
- **programmatic-seo**: For building competitor pages at scale
- **copywriting**: For writing compelling comparison copy
- **seo-audit**: For optimizing competitor pages
- **schema-markup**: For FAQ and comparison schema
- **schema**: For FAQ and comparison schema
- **sales-enablement**: For internal sales collateral, decks, and objection docs
+93
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@@ -0,0 +1,93 @@
{
"skill_name": "competitors",
"evals": [
{
"id": 1,
"prompt": "Create a 'Best Asana Alternatives' page for our project management tool. We compete mainly on price (we're $8/user vs their $24/user) and simplicity (they've become bloated). Target audience is small teams (5-20 people).",
"expected_output": "Should check for product-marketing.md first. Should identify this as the plural alternatives format ([Competitor] Alternatives). Should include the essential sections: TL;DR comparison, brief paragraphs on each alternative (including the user's product positioned first or prominently), feature comparison table, pricing comparison, who each alternative is best for. Should use the modular content architecture approach. Should address SEO considerations for the target keyword 'Asana alternatives.' Should position the user's product with the stated differentiators (price, simplicity).",
"assertions": [
"Checks for product-marketing.md",
"Identifies as plural alternatives format",
"Includes TL;DR comparison section",
"Includes feature comparison table",
"Includes pricing comparison",
"Includes 'who it's best for' per alternative",
"Positions user's product prominently with differentiators",
"Addresses SEO for target keyword"
],
"files": []
},
{
"id": 2,
"prompt": "Write a 'HubSpot vs Salesforce' comparison page. We're HubSpot and want to show why we're the better choice for SMBs.",
"expected_output": "Should identify this as the 'you vs competitor' format. Should include structured comparison sections: overview of both, feature-by-feature comparison, pricing comparison, pros/cons of each, who each is best for, and migration path. Should be factually accurate about the competitor while strategically positioning the user's product. Should include a TL;DR at the top. Should address the SMB angle throughout. Should use the centralized competitor data architecture pattern.",
"assertions": [
"Identifies as 'you vs competitor' format",
"Includes structured comparison sections",
"Includes feature-by-feature comparison",
"Includes pricing comparison",
"Includes TL;DR at the top",
"Factually accurate about competitor",
"Strategically positions user's product for SMBs",
"Includes migration path or switching section"
],
"files": []
},
{
"id": 3,
"prompt": "we need a page targeting 'mailchimp alternative' (singular). we're an email marketing platform focused on e-commerce brands.",
"expected_output": "Should trigger on casual phrasing. Should identify this as the singular alternative format ([Competitor] Alternative — positioning your product as THE alternative). Should focus the entire page on why the user's product is the best Mailchimp alternative for e-commerce. Should include: why people switch from Mailchimp, what the user's product does better (e-commerce specific features), feature comparison, pricing comparison, migration guide, customer testimonials. Should optimize for the singular keyword 'Mailchimp alternative.'",
"assertions": [
"Triggers on casual phrasing",
"Identifies as singular alternative format",
"Focuses on user's product as THE alternative",
"Includes why people switch from Mailchimp",
"Highlights e-commerce-specific advantages",
"Includes feature and pricing comparison",
"Includes migration guide",
"Optimizes for singular keyword"
],
"files": []
},
{
"id": 4,
"prompt": "Can you create a comparison page for 'Notion vs Coda'? We're a third-party review site, not affiliated with either product.",
"expected_output": "Should identify this as the 'competitor vs competitor' format (third-party perspective). Should maintain objectivity since the user isn't either product. Should include balanced comparison: overview of both, feature comparison, pricing, pros/cons, use case recommendations. Should use the essential page sections from the skill. Should suggest how to monetize the page (affiliate links, CTA to the user's own product if relevant). Should address SEO for the 'Notion vs Coda' keyword.",
"assertions": [
"Identifies as 'competitor vs competitor' format",
"Maintains objectivity (third-party perspective)",
"Includes balanced feature comparison",
"Includes pricing comparison",
"Includes use case recommendations",
"Addresses SEO considerations",
"Suggests monetization approach"
],
"files": []
},
{
"id": 5,
"prompt": "We want to build a whole competitor comparison hub. We have 5 main competitors and want to create alternative pages for each, plus head-to-head comparisons. How should we structure this?",
"expected_output": "Should apply the centralized competitor data architecture. Should recommend a hub structure with: individual alternative pages for each competitor (5 singular pages), a 'best alternatives' roundup page, head-to-head comparison pages for key matchups. Should address internal linking strategy between these pages. Should recommend the research process for gathering competitive data. Should address URL structure and site architecture for the hub.",
"assertions": [
"Applies centralized competitor data architecture",
"Recommends hub structure with multiple page types",
"Suggests individual and roundup alternative pages",
"Addresses internal linking between comparison pages",
"Recommends research process for competitive data",
"Addresses URL structure"
],
"files": []
},
{
"id": 6,
"prompt": "I need to create a battle card for our sales team comparing us to Zendesk. It should help reps handle competitive objections during sales calls.",
"expected_output": "Should recognize this as internal sales enablement material, not a public comparison page. Should defer to or cross-reference the sales-enablement skill, which handles battle cards, objection handling docs, and internal competitive collateral. May provide some competitive positioning advice but should make clear that sales-enablement is the right skill for internal sales materials.",
"assertions": [
"Recognizes this as internal sales enablement material",
"References or defers to sales-enablement skill",
"Does not attempt to create internal battle card using public comparison page patterns"
],
"files": []
}
]
}
@@ -2,6 +2,14 @@
How to structure and maintain competitor data for scalable comparison pages.
## Contents
- Centralized Competitor Data
- Competitor Data Template
- Your Product Data
- Page Generation
- Index Page Structure (alternatives index, vs comparisons index, index page best practices)
- Footer Navigation
## Centralized Competitor Data
Create a single source of truth for each competitor:
@@ -2,6 +2,17 @@
Ready-to-use templates for each section of competitor comparison pages.
## Contents
- TL;DR Summary
- Paragraph Comparison (Not Just Tables)
- Feature Comparison Section
- Pricing Comparison Section
- Service & Support Comparison
- Who It's For Section
- Migration Section
- Social Proof Section
- Comparison Table Best Practices (beyond checkmarks, organize by category, include ratings where useful)
## TL;DR Summary
Start every page with a quick summary for scanners:
+14 -5
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@@ -1,7 +1,8 @@
---
name: content-strategy
version: 1.0.0
description: When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," or "content planning." For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit.
description: When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," "content planning," "editorial calendar," "content marketing," "content roadmap," "what content should I create," "blog topics," "content pillars," or "I don't know what to write." Use this whenever someone needs help deciding what content to produce, not just writing it. For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit. For social media content specifically, see social.
metadata:
version: 2.0.0
---
# Content Strategy
@@ -11,7 +12,7 @@ You are a content strategist. Your goal is to help plan content that drives traf
## Before Planning
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
@@ -347,10 +348,18 @@ Visual or structured representation of how content interconnects.
---
## References
- **[Headless CMS Guide](references/headless-cms.md)**: CMS selection, content modeling for marketing, editorial workflows, platform comparison (Sanity, Contentful, Strapi)
---
## Related Skills
- **copywriting**: For writing individual content pieces
- **seo-audit**: For technical SEO and on-page optimization
- **ai-seo**: For optimizing content for AI search engines and getting cited by LLMs
- **programmatic-seo**: For scaled content generation
- **email-sequence**: For email-based content
- **social-content**: For social media content
- **site-architecture**: For page hierarchy, navigation design, and URL structure
- **emails**: For email-based content
- **social**: For social media content
+90
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@@ -0,0 +1,90 @@
{
"skill_name": "content-strategy",
"evals": [
{
"id": 1,
"prompt": "Help me build a content strategy for our B2B SaaS product. We sell expense management software to finance teams at companies with 50-500 employees. We currently have no blog and want to start from scratch.",
"expected_output": "Should check for product-marketing.md first. Should establish content pillars (3-5 core topic areas). Should map content types by buyer stage (awareness → consideration → decision → implementation). Should identify keyword research opportunities by buyer stage. Should recommend a mix of searchable (SEO-driven) and shareable (thought leadership, data) content. Should use the prioritization scoring framework (customer impact 40%, content-market fit 30%, search potential 20%, resources 10%). Should provide an initial content calendar or publishing cadence. Should recommend content types appropriate for starting from scratch.",
"assertions": [
"Checks for product-marketing.md",
"Establishes 3-5 content pillars",
"Maps content by buyer stage (awareness through implementation)",
"Includes keyword research by buyer stage",
"Recommends mix of searchable and shareable content",
"Uses prioritization scoring framework",
"Provides publishing cadence or calendar",
"Recommends appropriate starting content types"
],
"files": []
},
{
"id": 2,
"prompt": "We have 200+ blog posts but traffic has been flat for a year. Our content feels random — no clear strategy. How do we fix this?",
"expected_output": "Should diagnose the 'random content' problem. Should recommend a content audit process to evaluate existing posts. Should introduce content pillars and topical clustering to organize the existing library. Should identify hub-and-spoke opportunities from existing content. Should recommend which posts to update, consolidate, or retire. Should use the prioritization framework to plan next steps. Should address topical authority building through clusters.",
"assertions": [
"Diagnoses the 'random content' problem",
"Recommends content audit for existing posts",
"Introduces content pillars and topical clustering",
"Identifies hub-and-spoke opportunities",
"Recommends update, consolidate, or retire decisions",
"Uses prioritization framework",
"Addresses topical authority building"
],
"files": []
},
{
"id": 3,
"prompt": "what kind of content should we be creating? we're a developer tool (API testing platform) and our audience is backend developers and QA engineers",
"expected_output": "Should trigger on casual phrasing. Should recommend content types appropriate for a developer audience: technical tutorials, documentation-style guides, use-case content, template/example libraries, data-driven benchmarks. Should note that developer audiences prefer depth, accuracy, and practical value over marketing fluff. Should suggest content pillars aligned with developer interests. Should use the ideation sources framework (keyword data, community forums like Stack Overflow/Reddit, competitor gaps).",
"assertions": [
"Triggers on casual phrasing",
"Recommends content types for developer audience",
"Emphasizes technical depth and practical value",
"Notes developers prefer substance over marketing",
"Suggests content pillars for developer tool",
"Uses ideation sources framework",
"Mentions developer community channels"
],
"files": []
},
{
"id": 4,
"prompt": "How should we prioritize which content to create first? We have a list of 50 blog post ideas but limited resources — one content marketer writing 2 posts per week.",
"expected_output": "Should apply the prioritization scoring framework: customer impact (40%), content-market fit (30%), search potential (20%), resources required (10%). Should help score or rank the content ideas using this framework. Should recommend focusing on high-impact, lower-effort content first. Should consider the buyer stage distribution (don't write only top-of-funnel). Should provide a practical workflow for the single content marketer to use going forward.",
"assertions": [
"Applies prioritization scoring framework with weights",
"Explains each scoring dimension",
"Recommends focusing on high-impact, lower-effort first",
"Considers buyer stage distribution",
"Provides practical workflow for limited resources"
],
"files": []
},
{
"id": 5,
"prompt": "We want to build topical authority in 'employee engagement.' What does a content cluster look like for this topic?",
"expected_output": "Should apply the hub-and-spoke content cluster model. Should design a pillar page for 'employee engagement' (comprehensive, 3000+ word guide). Should identify 8-15 supporting spoke articles targeting long-tail keywords related to employee engagement. Should map the internal linking structure between hub and spokes. Should address keyword research for the cluster. Should recommend content types for each piece (guide, how-to, template, data-driven, etc.).",
"assertions": [
"Applies hub-and-spoke content cluster model",
"Designs a pillar page for the core topic",
"Identifies 8-15 supporting spoke articles",
"Maps internal linking between hub and spokes",
"Addresses keyword research for the cluster",
"Recommends content types for each piece"
],
"files": []
},
{
"id": 6,
"prompt": "Can you write a blog post about remote work best practices for our HR software blog?",
"expected_output": "Should recognize this is a copywriting/content creation task, not a content strategy task. Should defer to or cross-reference the copywriting skill for writing individual pieces of content. May provide strategic context (where this fits in the content strategy, keyword targeting, audience) but should make clear that copywriting is the right skill for writing the actual content.",
"assertions": [
"Recognizes this as content creation, not strategy",
"References or defers to copywriting skill",
"Does not attempt to write the full blog post",
"May provide strategic context for the piece"
],
"files": []
}
]
}
@@ -0,0 +1,194 @@
# Headless CMS Guide
Reference for choosing, modeling, and implementing a headless CMS for marketing content.
## When to Use This Reference
Use this when selecting a CMS for a new project, designing content models for marketing sites, setting up editorial workflows, or connecting CMS content to programmatic pages.
---
## Headless vs Traditional CMS
A headless CMS separates content management from presentation. Content is stored in a structured backend and delivered via API to any frontend.
### When Headless Makes Sense
- Multiple frontends consume the same content (web, mobile, email)
- Developers want full control over the frontend stack
- Content needs to be reused across channels
- You're building with a modern framework (Next.js, Remix, Astro)
- Marketing needs structured, reusable content blocks
### When Traditional Works Better
- Small team with no dedicated developers
- Simple blog or brochure site
- WYSIWYG editing is a hard requirement
- Budget is tight and WordPress/Webflow does the job
### Decision Checklist
| Factor | Headless | Traditional |
|--------|----------|-------------|
| Multi-channel delivery | Yes | Limited |
| Developer control | Full | Constrained |
| Non-technical editing | Requires setup | Built-in |
| Time to launch | Longer | Faster |
| Content reuse | Native | Manual |
| Hosting flexibility | Any frontend | Platform-dependent |
---
## Content Modeling for Marketing
### Core Principles
1. **Think in types, not pages.** A "Landing Page" is a content type with fields — not an HTML file. This lets you reuse components across pages.
2. **Separate content from presentation.** Store the headline text, not the styled headline. Presentation belongs in the frontend.
3. **Design for reuse.** If testimonials appear on 5 pages, create a Testimonial type and reference it — don't duplicate.
4. **Keep models flat.** Deeply nested structures are hard to query and maintain. Prefer references over nesting.
### Common Marketing Content Types
| Type | Key Fields | Notes |
|------|-----------|-------|
| **Landing Page** | title, slug, hero, sections[], seo | Modular sections for flexibility |
| **Blog Post** | title, slug, body, author, category, tags, publishedAt, seo | Rich text or Portable Text body |
| **Case Study** | title, customer, challenge, solution, results, metrics[], logo | Link to related products/features |
| **Testimonial** | quote, author, role, company, avatar, rating | Reference from landing pages |
| **FAQ** | question, answer, category | Group by category for programmatic pages |
| **Author** | name, bio, avatar, social links | Reference from blog posts |
| **CTA Block** | heading, body, buttonText, buttonUrl, variant | Reusable across pages |
### SEO Fields Checklist
Every page-level content type needs:
- `metaTitle` — 50-60 characters
- `metaDescription` — 150-160 characters
- `ogImage` — 1200x630px social preview
- `slug` — URL path segment
- `canonicalUrl` — optional override
- `noIndex` — boolean for excluding from search
- `structuredData` — optional JSON-LD override
---
## Editorial Workflows
### Draft → Review → Publish Cycle
1. **Draft** — Author creates or edits content
2. **Review** — Editor reviews for accuracy, brand voice, SEO
3. **Approve** — Stakeholder signs off
4. **Schedule** — Set publish date/time
5. **Publish** — Content goes live via API
### Preview APIs
All major headless CMS platforms support draft previews:
- **Sanity**: Real-time preview with `useLiveQuery` or Presentation tool
- **Contentful**: Preview API (`preview.contentful.com`) with separate access token
- **Strapi**: Draft & Publish system with `status=draft` query parameter (v5; replaces v4's `publicationState`)
Set up a preview route in your frontend (e.g., `/api/preview`) that authenticates and renders draft content.
### Roles and Permissions
| Role | Can Create | Can Edit | Can Publish | Can Delete |
|------|:----------:|:--------:|:-----------:|:----------:|
| Author | Yes | Own | No | Own drafts |
| Editor | Yes | All | Yes | Drafts |
| Admin | Yes | All | Yes | All |
Exact permission models vary by platform. Sanity uses role-based access. Contentful has space-level roles. Strapi has granular RBAC.
---
## Platform Comparison
| Feature | Sanity | Contentful | Strapi |
|---------|--------|------------|--------|
| Hosting | Cloud (managed) | Cloud (managed) | Self-hosted or Cloud |
| Query Language | GROQ | REST / GraphQL | REST / GraphQL |
| Free Tier | Generous | Limited | Open source (free) |
| Real-time Collab | Yes (built-in) | Limited | No |
| Best For | Developer flexibility | Enterprise multi-locale | Budget / self-hosted |
| Content Modeling | Schema-as-code | Web UI | Web UI or code |
| Media Handling | Built-in DAM | Built-in | Plugin-based |
### Sanity
**Strengths**: GROQ query language is powerful and flexible. Schema defined in code (version-controlled). Real-time collaborative editing. Portable Text for rich content. Generous free tier.
**Considerations**: Steeper learning curve for non-developers. Studio customization requires React knowledge. Vendor lock-in on GROQ queries.
**Marketing fit**: Best when developers and marketers collaborate closely. Strong for content-heavy sites with complex models.
### Contentful
**Strengths**: Mature enterprise platform. Excellent multi-locale support. Strong ecosystem of integrations. Composable content with Studio. Well-documented APIs.
**Considerations**: Pricing scales with content types and locales. Two separate APIs (Delivery and Management). Rate limits can be tight on lower plans.
**Marketing fit**: Best for enterprises with multi-market content needs. Good when you need established vendor reliability.
### Strapi
**Strengths**: Open source, self-hosted option. Full control over data. No per-seat pricing. Customizable admin panel. Plugin ecosystem. REST by default, GraphQL via plugin.
**Considerations**: Self-hosting means you handle infrastructure. Smaller ecosystem than Sanity/Contentful. V5 migration can be significant from V4.
**Marketing fit**: Best for teams with DevOps capability who want full control and no vendor lock-in. Good for budget-conscious projects.
### Others Worth Knowing
- **Hygraph** — GraphQL-native, strong for federation and multi-source content
- **Keystatic** — Git-based, good for developer-content hybrid workflows
- **Payload** — TypeScript-first, self-hosted, code-configured like Sanity
- **Builder.io** — Visual editor with headless backend, good for non-technical marketers
- **Prismic** — Slice-based content modeling, strong Next.js integration
---
## Integration with Marketing Skills
### Programmatic SEO
Use CMS as the data source for programmatic pages. Store structured data (FAQs, comparisons, city pages) as content types and generate pages from queries. See **programmatic-seo** skill.
### Copywriting
CMS content models enforce consistent structure. Define fields that match your copy frameworks (headline, subheadline, social proof, CTA). See **copywriting** skill.
### Site Architecture
URL structure, navigation hierarchy, and internal linking all depend on how content is organized in the CMS. Plan your content model and site architecture together. See **site-architecture** skill.
### Email Sequences
Pull CMS content into email templates for consistent messaging across web and email. Case studies, testimonials, and blog posts can feed email nurture sequences. See **emails** skill.
---
## Implementation Checklist
- [ ] Define content types based on page types and reusable blocks
- [ ] Add SEO fields to every page-level content type
- [ ] Set up preview/draft mode in your frontend
- [ ] Configure roles and permissions for your team
- [ ] Create sample content for each type before building frontend
- [ ] Set up webhook notifications for content changes (rebuild triggers)
- [ ] Document content guidelines for editors (field descriptions, character limits)
- [ ] Test content delivery performance (CDN, caching, ISR)
- [ ] Plan migration strategy if moving from existing CMS
---
## Relevant Integration Guides
- [Sanity](../../../tools/integrations/sanity.md) — GROQ queries, mutations, CLI
- [Contentful](../../../tools/integrations/contentful.md) — Delivery/Management APIs, publishing
- [Strapi](../../../tools/integrations/strapi.md) — REST CRUD, filters, document API
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@@ -1,7 +1,8 @@
---
name: copy-editing
version: 1.0.0
description: "When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes."
description: "When the user wants to edit, review, or improve existing marketing copy, or refresh outdated content. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' 'copy sweep,' 'tighten this up,' 'this reads awkwardly,' 'clean up this text,' 'too wordy,' 'sharpen the messaging,' 'refresh this content,' 'update this page,' 'this content is outdated,' or 'content audit.' Use this when the user already has copy and wants it improved or refreshed rather than rewritten from scratch. For writing new copy, see copywriting."
metadata:
version: 2.0.0
---
# Copy Editing
@@ -11,7 +12,7 @@ You are an expert copy editor specializing in marketing and conversion copy. You
## Core Philosophy
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before editing. Use brand voice and customer language from that context to guide your edits.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before editing. Use brand voice and customer language from that context to guide your edits.
Good copy editing isn't about rewriting—it's about enhancing. Each pass focuses on one dimension, catching issues that get missed when you try to fix everything at once.
@@ -255,6 +256,57 @@ For every statement, ask "Okay, so what?" If the copy doesn't answer that questi
---
## Expert Panel Scoring
Use this after completing the Seven Sweeps for an additional quality gate. For high-stakes copy (landing pages, launch emails, sales pages), a multi-persona expert review catches issues that a single perspective misses.
### How It Works
1. **Assemble 3-5 expert personas** relevant to the copy type
2. **Each persona scores the copy 1-10** on their area of expertise
3. **Collect specific critiques** — not just scores, but what to fix
4. **Revise based on feedback** — address the lowest-scoring areas first
5. **Re-score after revisions** — iterate until all personas score 7+, with an average of 8+ across the panel
### Recommended Expert Panels
**Landing page copy:**
- Conversion copywriter (clarity, CTA strength, benefit hierarchy)
- UX writer (scannability, cognitive load, user flow)
- Target customer persona (does this speak to me? do I trust it?)
- Brand strategist (voice consistency, positioning accuracy)
**Email sequence:**
- Email marketing specialist (subject lines, open/click optimization)
- Copywriter (hooks, storytelling, persuasion)
- Spam filter analyst (deliverability red flags, trigger words)
- Target customer persona (relevance, value, unsubscribe risk)
**Sales page / long-form:**
- Direct response copywriter (offer structure, objection handling, urgency)
- Skeptical buyer persona (proof gaps, trust issues, red flags)
- Editor (flow, readability, conciseness)
- SEO specialist (keyword coverage, search intent alignment)
### Scoring Rubric
| Score | Meaning |
|-------|---------|
| 9-10 | Publish-ready. No meaningful improvements. |
| 7-8 | Strong. Minor tweaks only. |
| 5-6 | Functional but has clear gaps. Needs another pass. |
| 3-4 | Significant issues. Major revision needed. |
| 1-2 | Fundamentally broken. Rethink approach. |
### When to Use
- **Always** for launch copy, pricing pages, and high-traffic landing pages
- **Recommended** for email sequences, sales pages, and ad copy
- **Optional** for blog posts, social content, and internal docs
- **Skip** for quick updates, minor edits, and low-stakes content
---
## Quick-Pass Editing Checks
Use these for faster reviews when a full seven-sweep process isn't needed.
@@ -306,59 +358,7 @@ Use these for faster reviews when a full seven-sweep process isn't needed.
## Copy Editing Checklist
### Before You Start
- [ ] Understand the goal of this copy
- [ ] Know the target audience
- [ ] Identify the desired action
- [ ] Read through once without editing
### Clarity (Sweep 1)
- [ ] Every sentence is immediately understandable
- [ ] No jargon without explanation
- [ ] Pronouns have clear references
- [ ] No sentences trying to do too much
### Voice & Tone (Sweep 2)
- [ ] Consistent formality level throughout
- [ ] Brand personality maintained
- [ ] No jarring shifts in mood
- [ ] Reads well aloud
### So What (Sweep 3)
- [ ] Every feature connects to a benefit
- [ ] Claims answer "why should I care?"
- [ ] Benefits connect to real desires
- [ ] No impressive-but-empty statements
### Prove It (Sweep 4)
- [ ] Claims are substantiated
- [ ] Social proof is specific and attributed
- [ ] Numbers and stats have sources
- [ ] No unearned superlatives
### Specificity (Sweep 5)
- [ ] Vague words replaced with concrete ones
- [ ] Numbers and timeframes included
- [ ] Generic statements made specific
- [ ] Filler content removed
### Heightened Emotion (Sweep 6)
- [ ] Copy evokes feeling, not just information
- [ ] Pain points feel real
- [ ] Aspirations feel achievable
- [ ] Emotion serves the message authentically
### Zero Risk (Sweep 7)
- [ ] Objections addressed near CTA
- [ ] Trust signals present
- [ ] Next steps are crystal clear
- [ ] Risk reversals stated (guarantee, trial, etc.)
### Final Checks
- [ ] No typos or grammatical errors
- [ ] Consistent formatting
- [ ] Links work (if applicable)
- [ ] Core message preserved through all edits
For a final QA pass before delivering edits, work through the full checklist in [references/checklist.md](references/checklist.md) — covering all seven sweeps plus pre-start and final-check items.
---
@@ -415,6 +415,16 @@ This iterative process ensures each edit doesn't create new problems while respe
## References
- [Plain English Alternatives](references/plain-english-alternatives.md): Replace complex words with simpler alternatives
- [Content Refresh](references/content-refresh.md): Full checklist, refresh vs. rewrite matrix, and cadence guide
- [Copy Editing Checklist](references/checklist.md): Full QA checklist across all seven sweeps
---
## Content Refresh Editing
Copy editing isn't just for new content. Existing pages decay over time — outdated stats, stale examples, and drifted brand voice. Use the content refresh framework when traffic is declining, data is stale, or the product has changed.
**For the full refresh checklist, refresh vs. rewrite decision matrix, and cadence guide**: See [references/content-refresh.md](references/content-refresh.md)
---
@@ -424,15 +434,16 @@ This iterative process ensures each edit doesn't create new problems while respe
2. What action should readers take?
3. Are there specific concerns or known issues?
4. What proof/evidence do you have available?
5. Is this new copy or a refresh of existing content?
---
## Related Skills
- **copywriting**: For writing new copy from scratch (use this skill to edit after your first draft is complete)
- **page-cro**: For broader page optimization beyond copy
- **cro**: For broader page optimization beyond copy
- **marketing-psychology**: For understanding why certain edits improve conversion
- **ab-test-setup**: For testing copy variations
- **ab-testing**: For testing copy variations
---
@@ -443,4 +454,4 @@ This iterative process ensures each edit doesn't create new problems while respe
| Writing new page copy from scratch | copywriting |
| Reviewing and improving existing copy | copy-editing (this skill) |
| Editing copy you just wrote | copy-editing (this skill) |
| Structural or strategic page changes | page-cro |
| Structural or strategic page changes | cro |
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@@ -0,0 +1,89 @@
{
"skill_name": "copy-editing",
"evals": [
{
"id": 1,
"prompt": "Edit this homepage copy for us: 'Welcome to CloudSync! We are very excited to offer you an innovative, cutting-edge platform that seamlessly integrates with your existing tools. Our powerful solution helps businesses of all sizes optimize their workflows and drive meaningful results. Get started today and experience the difference!'",
"expected_output": "Should check for product-marketing.md first. Should apply the Seven Sweeps Framework systematically. Sweep 1 (Clarity): identify vague language ('optimize workflows,' 'drive meaningful results,' 'experience the difference'). Sweep 2 (Voice & Tone): flag 'Welcome to' as weak opening, 'we are very excited' as company-focused. Sweep 3 (So What): question what specific value is being offered. Sweep 4 (Prove It): note no proof points, stats, or evidence. Sweep 5 (Specificity): flag 'businesses of all sizes,' 'existing tools,' 'powerful solution' as generic. Sweep 6 (Heightened Emotion): assess emotional impact. Sweep 7 (Zero Risk): check for trust signals. Should provide a rewritten version addressing all issues.",
"assertions": [
"Checks for product-marketing.md",
"Applies Seven Sweeps Framework",
"Identifies vague language (Clarity sweep)",
"Flags weak opening and company-focused language (Voice & Tone sweep)",
"Questions missing value proposition (So What sweep)",
"Notes missing proof points (Prove It sweep)",
"Flags generic terms (Specificity sweep)",
"Provides a rewritten version"
],
"files": []
},
{
"id": 2,
"prompt": "Quick edit on this CTA section: 'Ready to take your business to the next level? Our team of dedicated professionals is standing by to help you achieve your goals. Click here to learn more about how we can help you succeed.'",
"expected_output": "Should apply the quick-pass editing checks. Should identify: 'take your business to the next level' (cliché), 'team of dedicated professionals' (filler), 'standing by' (passive), 'click here' (weak CTA), 'learn more' (vague action), 'help you succeed' (generic). Should apply word-level, sentence-level, and paragraph-level checks. Should rewrite with specific value prop, active voice, and strong action-oriented CTA. Should be concise since this was requested as a 'quick edit.'",
"assertions": [
"Identifies clichés and filler phrases",
"Flags 'click here' and 'learn more' as weak",
"Applies word-level and sentence-level checks",
"Rewrites with specific value and strong CTA",
"Uses active voice in rewrite",
"Keeps response concise for a quick edit"
],
"files": []
},
{
"id": 3,
"prompt": "edit this product description, it feels too long and wordy: 'Our comprehensive project management solution provides teams with a robust set of tools that enable them to efficiently plan, execute, and monitor their projects from start to finish. With our intuitive interface, powerful analytics dashboard, and seamless integration capabilities, you can ensure that every aspect of your project is managed with precision and care. Whether you're a small startup or a large enterprise, our platform scales to meet your unique needs and requirements, helping you deliver projects on time and within budget every single time.'",
"expected_output": "Should trigger on casual phrasing. Should apply the Clarity and Specificity sweeps primarily. Should identify: redundancy ('plan, execute, and monitor' overlaps with 'from start to finish'), filler words ('comprehensive,' 'robust,' 'efficiently,' 'seamless,' 'unique'), hedge phrases ('ensuring every aspect,' 'with precision and care'), and generic claims ('scales to meet your needs,' 'on time and within budget every single time'). Should cut the copy significantly (probably by 50%+). Should provide a tighter rewrite that says the same thing in fewer, more specific words.",
"assertions": [
"Triggers on casual phrasing",
"Identifies redundancy in the copy",
"Identifies filler words and hedge phrases",
"Identifies generic claims",
"Cuts copy significantly (50%+ reduction)",
"Provides tighter rewrite with specific language"
],
"files": []
},
{
"id": 4,
"prompt": "Review this testimonial section and improve it: 'CloudSync is great! It really helped our company. The team was very responsive and the product works well. We would recommend it to anyone looking for a solution. - John S., CEO'",
"expected_output": "Should apply the Prove It and Specificity sweeps. Should identify the testimonial as too vague to be persuasive ('great,' 'really helped,' 'works well,' 'anyone looking for a solution'). Should recommend replacing with specific results ('reduced project delivery time by 30%'), specific context ('team of 45 engineers'), and specific outcomes. Should suggest questions to ask the customer for a better testimonial. Should not fabricate specific numbers but should provide a template showing what a strong testimonial looks like.",
"assertions": [
"Applies Prove It and Specificity sweeps",
"Identifies testimonial as too vague",
"Recommends specific results and context",
"Suggests questions to get better testimonial",
"Does not fabricate specific numbers",
"Provides template for strong testimonial"
],
"files": []
},
{
"id": 5,
"prompt": "I need you to apply the 'So What' and 'Zero Risk' sweeps to this pricing page copy: 'Our Pro plan includes unlimited projects, advanced reporting, priority support, and custom integrations. Starting at $99/month.'",
"expected_output": "Should apply specifically the So What and Zero Risk sweeps as requested. So What: for each feature, ask 'so what does this mean for the customer?' — unlimited projects (what does that enable?), advanced reporting (what decisions can they make?), priority support (what does that mean in practice? response time?), custom integrations (which ones? what workflow does it enable?). Zero Risk: identify missing trust signals — no guarantee, no trial mention, no social proof near pricing, no 'cancel anytime' assurance. Should provide rewritten copy addressing both sweeps.",
"assertions": [
"Applies So What sweep to each feature",
"Translates features to customer benefits",
"Applies Zero Risk sweep",
"Identifies missing trust signals",
"Suggests guarantee, trial, or cancel-anytime language",
"Provides rewritten copy addressing both sweeps"
],
"files": []
},
{
"id": 6,
"prompt": "Write fresh homepage copy for our new product. We're launching a CRM for real estate agents.",
"expected_output": "Should recognize this is a copywriting-from-scratch task, not copy editing. Should defer to or cross-reference the copywriting skill, which handles writing new copy from scratch. Copy-editing is specifically for improving existing copy. Should make this distinction clear.",
"assertions": [
"Recognizes this as writing new copy, not editing existing copy",
"References or defers to copywriting skill",
"Explains that copy-editing is for improving existing copy",
"Does not attempt to write full page copy from scratch"
],
"files": []
}
]
}
@@ -0,0 +1,66 @@
# Copy Editing Checklist
Use this checklist alongside the Seven Sweeps Framework (see SKILL.md) as a final QA pass before delivering edited copy.
## Before You Start
- [ ] Understand the goal of this copy
- [ ] Know the target audience
- [ ] Identify the desired action
- [ ] Read through once without editing
## Clarity (Sweep 1)
- [ ] Every sentence is immediately understandable
- [ ] No jargon without explanation
- [ ] Pronouns have clear references
- [ ] No sentences trying to do too much
## Voice & Tone (Sweep 2)
- [ ] Consistent formality level throughout
- [ ] Brand personality maintained
- [ ] No jarring shifts in mood
- [ ] Reads well aloud
## So What (Sweep 3)
- [ ] Every feature connects to a benefit
- [ ] Claims answer "why should I care?"
- [ ] Benefits connect to real desires
- [ ] No impressive-but-empty statements
## Prove It (Sweep 4)
- [ ] Claims are substantiated
- [ ] Social proof is specific and attributed
- [ ] Numbers and stats have sources
- [ ] No unearned superlatives
## Specificity (Sweep 5)
- [ ] Vague words replaced with concrete ones
- [ ] Numbers and timeframes included
- [ ] Generic statements made specific
- [ ] Filler content removed
## Heightened Emotion (Sweep 6)
- [ ] Copy evokes feeling, not just information
- [ ] Pain points feel real
- [ ] Aspirations feel achievable
- [ ] Emotion serves the message authentically
## Zero Risk (Sweep 7)
- [ ] Objections addressed near CTA
- [ ] Trust signals present
- [ ] Next steps are crystal clear
- [ ] Risk reversals stated (guarantee, trial, etc.)
## Final Checks
- [ ] No typos or grammatical errors
- [ ] Consistent formatting
- [ ] Links work (if applicable)
- [ ] Core message preserved through all edits
@@ -0,0 +1,38 @@
# Content Refresh Editing
Copy editing isn't just for new content. Existing pages and posts decay over time — outdated stats, stale examples, drifted brand voice, and missed SEO opportunities. A content refresh applies the same editing rigor to content that's already published.
## When to Refresh
- **Traffic declining** on a page that used to perform well
- **Stats or data** are more than 12 months old
- **Product has changed** — features, pricing, or positioning no longer match
- **Competitors updated** their version of the same content
- **AI search visibility** matters — outdated content gets cited less (see ai-seo skill)
## Content Refresh Checklist
1. **Freshness pass** — Update all dates, stats, and examples. Replace "in 2024" with current data. Remove references to deprecated features or tools.
2. **Accuracy pass** — Verify all claims are still true. Check that linked resources still exist. Confirm pricing and feature descriptions match current state.
3. **Voice pass** — Does the tone match your current brand voice? Older content often reflects an earlier stage of the company.
4. **SEO pass** — Has search intent shifted for this topic? Are there new keywords or questions to address? Add "Last updated: [date]" prominently.
5. **Proof pass** — Can you add newer testimonials, case studies, or data points that didn't exist when this was first published?
6. **Structure pass** — Add comparison tables, FAQ sections, or other scannable formats that make the content easier to consume.
## Refresh vs. Rewrite
| Signal | Action |
|--------|--------|
| Core message still valid, details outdated | Refresh (update facts, stats, examples) |
| Brand voice has evolved significantly | Refresh + voice rewrite |
| Topic angle or audience has shifted | Full rewrite |
| Page structure doesn't match current search intent | Full rewrite |
| Just needs updated stats and links | Light refresh |
## Refresh Cadence
- **Pricing and product pages**: Every quarter, or when pricing/features change
- **High-traffic blog posts**: Every 6 months
- **Comparison and alternatives pages**: Every 3-6 months (competitors change fast)
- **Evergreen guides**: Annually, unless traffic drops sooner
- **Low-traffic pages**: Only when traffic data suggests an opportunity
@@ -6,6 +6,24 @@ Source: Plain English Campaign A-Z of Alternative Words (2001), Australian Gover
---
## Contents
- A
- B
- C
- D
- E
- F
- G-H
- I
- L-M
- N-O
- P
- R
- S
- T-U
- V-Z
- Phrases to Remove Entirely
## A
| Complex | Plain Alternative |
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@@ -1,7 +1,8 @@
---
name: copywriting
version: 1.0.0
description: When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," or "CTA copy." For email copy, see email-sequence. For popup copy, see popup-cro.
description: When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," "CTA copy," "value proposition," "tagline," "subheadline," "hero section copy," "above the fold," "this copy is weak," "make this more compelling," or "help me describe my product." Use this whenever someone is working on website text that needs to persuade or convert. For email copy, see emails. For popup copy, see popups. For editing existing copy, see copy-editing.
metadata:
version: 2.0.0
---
# Copywriting
@@ -11,7 +12,7 @@ You are an expert conversion copywriter. Your goal is to write marketing copy th
## Before Writing
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
@@ -66,7 +67,7 @@ Each section should advance one argument. Build a logical flow down the page.
3. **Active over passive** — "We generate reports" not "Reports are generated"
4. **Confident over qualified** — Remove "almost," "very," "really"
5. **Show over tell** — Describe the outcome instead of using adverbs
6. **Honest over sensational**Never fabricate statistics or testimonials
6. **Honest over sensational**Fabricated statistics or testimonials erode trust and create legal liability
### Quick Quality Check
@@ -245,7 +246,7 @@ For headlines and CTAs, provide 2-3 options:
## Related Skills
- **copy-editing**: For polishing existing copy (use after your draft)
- **page-cro**: If page structure/strategy needs work, not just copy
- **email-sequence**: For email copywriting
- **popup-cro**: For popup and modal copy
- **ab-test-setup**: To test copy variations
- **cro**: If page structure/strategy needs work, not just copy
- **emails**: For email copywriting
- **popups**: For popup and modal copy
- **ab-testing**: To test copy variations
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@@ -0,0 +1,111 @@
{
"skill_name": "copywriting",
"evals": [
{
"id": 1,
"prompt": "Write homepage copy for a SaaS tool that automates employee onboarding. Target audience is HR directors at mid-size companies (200-2000 employees). Main differentiator is that it integrates with all major HRIS systems and cuts onboarding time from 2 weeks to 2 days.",
"expected_output": "Should check for product-marketing.md first. Should write full page copy organized by section: Headline, Subheadline, CTA (above the fold), then Social Proof, Problem/Pain, Solution/Benefits, How It Works, Objection Handling, and Final CTA. Should follow copywriting principles: clarity over cleverness, benefits over features, specificity (use the '2 weeks to 2 days' stat), customer language. Headline should communicate core value proposition. CTAs should be action-oriented ('Start Free Trial' not 'Submit'). Should provide 2-3 headline alternatives with rationale. Should include annotations explaining key copy choices. Should include meta content (SEO page title and meta description).",
"assertions": [
"Checks for product-marketing.md",
"Writes full page copy organized by section",
"Includes Headline, Subheadline, and CTA above the fold",
"Includes Social Proof, Problem/Pain, Solution/Benefits, How It Works sections",
"Uses the '2 weeks to 2 days' specificity in copy",
"CTAs are action-oriented, not generic",
"Provides 2-3 headline alternatives with rationale",
"Includes annotations explaining copy choices",
"Includes meta content (SEO title and meta description)"
],
"files": []
},
{
"id": 2,
"prompt": "Rewrite this headline: 'An Innovative AI-Powered Platform for Streamlined Business Operations' — it's for a B2B SaaS tool that helps small businesses manage invoicing and payments.",
"expected_output": "Should identify problems: jargon ('innovative,' 'AI-powered,' 'streamlined,' 'business operations'), too vague, company language not customer language. Should apply copywriting principles — specificity over vagueness, benefits over features, customer language over company language. Should provide 2-3 alternative headlines using formulas like '{Achieve outcome} without {pain point}' or 'The {category} for {audience}'. Each alternative should include rationale. Should also suggest a subheadline that adds specificity.",
"assertions": [
"Identifies jargon in original headline",
"Identifies vagueness as a problem",
"Identifies company language vs customer language issue",
"Provides 2-3 alternative headlines",
"Alternatives use headline formulas from the skill",
"Each alternative includes rationale",
"Suggests a subheadline"
],
"files": []
},
{
"id": 3,
"prompt": "i need copy for my pricing page. we have three plans: starter ($29/mo), pro ($79/mo), business ($199/mo). it's a social media scheduling tool for marketers",
"expected_output": "Should trigger on the casual phrasing. Should ask or infer audience context. Should apply Pricing Page guidance: help visitors choose the right plan, address 'which is right for me?' anxiety, make recommended plan obvious. Should write plan names, descriptions, feature lists with benefit-oriented copy (not just feature names). Should include a page headline that addresses the pricing decision. CTAs should be specific per plan. Should handle objection handling (FAQ copy). Should provide alternatives for key elements.",
"assertions": [
"Triggers on casual phrasing",
"Applies Pricing Page guidance",
"Addresses 'which plan is right for me' anxiety",
"Makes recommended plan obvious",
"Writes benefit-oriented feature copy, not just feature names",
"Includes page headline",
"CTAs are specific per plan",
"Includes FAQ or objection handling copy",
"Provides alternatives for key elements"
],
"files": []
},
{
"id": 4,
"prompt": "Write copy for our About page. We're a 3-person startup that built a developer tool for database migrations. Founded because we kept losing data during migrations at our last jobs. Tone should be professional but human.",
"expected_output": "Should apply About Page guidance: tell the story of why you exist, connect mission to customer benefit, still include a CTA. Should adapt voice and tone to 'professional but human' as specified. Should tell the founder origin story authentically. Should connect the personal pain to the customer's pain. Should include a CTA even on the About page. Copy should follow style rules: active voice, confident, specific. Should NOT be overly corporate or generic.",
"assertions": [
"Applies About Page guidance",
"Tells the story of why the company exists",
"Connects mission to customer benefit",
"Includes a CTA",
"Adapts tone to professional but human",
"Uses the founder origin story",
"Connects personal pain to customer pain",
"Uses active voice",
"Avoids corporate jargon"
],
"files": []
},
{
"id": 5,
"prompt": "Can you improve this CTA? We currently have 'Learn More' on our feature page for our analytics dashboard product.",
"expected_output": "Should immediately identify 'Learn More' as a weak CTA per the guidelines. Should apply the CTA formula: [Action Verb] + [What They Get] + [Qualifier]. Should provide 2-3 strong alternatives like 'See the Dashboard in Action,' 'Start Your Free Trial,' or 'Explore Analytics Features.' Each alternative should include rationale and context for when it works best. Should also consider CTA hierarchy — whether this is a primary or secondary CTA, and suggest complementary CTAs if relevant.",
"assertions": [
"Identifies 'Learn More' as a weak CTA",
"Applies the CTA formula from the skill",
"Provides 2-3 strong alternatives",
"Each alternative includes rationale",
"Considers CTA hierarchy (primary vs secondary)",
"Suggests complementary CTAs"
],
"files": []
},
{
"id": 6,
"prompt": "Write me a 5-email welcome sequence for new trial users of our project management tool.",
"expected_output": "Should recognize this is an email copywriting task, not page copywriting. Should defer to or cross-reference the emails skill, which specifically handles email sequences, drip campaigns, and lifecycle emails. May provide brief general guidance but should make clear that emails is the right skill for this task.",
"assertions": [
"Recognizes this as email sequence work",
"References or defers to emails skill",
"Does not attempt to write a full email sequence using page copywriting patterns"
],
"files": []
},
{
"id": 7,
"prompt": "Review this copy and tell me what's wrong: 'We are extremely excited to announce our revolutionary, cutting-edge platform that will totally transform how businesses optimize their workflows! Sign up now!!'",
"expected_output": "Should apply the Quick Quality Check. Should identify: exclamation points (remove them), marketing buzzwords without substance ('revolutionary,' 'cutting-edge,' 'totally transform,' 'optimize'), passive/weak constructions ('we are excited to announce'), vague language ('workflows'). Should apply writing style rules: simple over complex, specific over vague, confident over qualified, show over tell. Should rewrite the copy following these principles. Should provide 2-3 alternatives.",
"assertions": [
"Identifies exclamation point overuse",
"Identifies marketing buzzwords without substance",
"Identifies vague language",
"Applies writing style rules",
"Rewrites the copy following principles",
"Provides alternatives",
"Result is specific, clear, and jargon-free"
],
"files": []
}
]
}
@@ -2,6 +2,12 @@
Headline formulas, page section types, and structural templates.
## Contents
- Headline Formulas (outcome-focused, problem-focused, audience-focused, differentiation-focused, proof-focused, additional formulas)
- Landing Page Section Types (core sections, supporting sections)
- Page Structure Templates (feature-heavy page, varied engaging page, compact landing page, enterprise/B2B landing page, product launch page)
- Section Writing Tips (problem section, benefits section, how it works section, testimonial selection)
## Headline Formulas
### Outcome-Focused
@@ -6,6 +6,26 @@ Adapted from: University of Manchester Academic Phrasebank (2023), Plain English
---
## Contents
- Previewing Content Structure
- Introducing a New Topic
- Referring Back
- Moving Between Sections
- Indicating Addition
- Indicating Contrast
- Indicating Similarity
- Indicating Cause and Effect
- Giving Examples
- Emphasising Key Points
- Providing Evidence (neutral attribution, expert quotes, supporting claims)
- Summarising Sections
- Concluding Content
- Question-Based Transitions
- List Introductions
- Hedging Language
- Best Practice Guidelines
- Transitions to Avoid (AI Tells)
## Previewing Content Structure
Use to orient readers and set expectations:
@@ -1,17 +1,18 @@
---
name: page-cro
version: 1.0.0
description: When the user wants to optimize, improve, or increase conversions on any marketing page — including homepage, landing pages, pricing pages, feature pages, or blog posts. Also use when the user says "CRO," "conversion rate optimization," "this page isn't converting," "improve conversions," or "why isn't this page working." For signup/registration flows, see signup-flow-cro. For post-signup activation, see onboarding-cro. For forms outside of signup, see form-cro. For popups/modals, see popup-cro.
name: cro
description: "When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms. Also use when the user says 'CRO,' 'conversion rate optimization,' 'this page isn't converting,' 'improve conversions,' 'why isn't this page working,' 'my landing page sucks,' 'form abandonment,' 'nobody's converting,' 'low conversion rate,' or 'this page needs work.' Use this even if the user just shares a URL and asks for feedback. For signup/registration flows, see signup. For post-signup activation, see onboarding. For popups/modals, see popups."
metadata:
version: 2.0.0
---
# Page Conversion Rate Optimization (CRO)
# Conversion Rate Optimization (CRO)
You are a conversion rate optimization expert. Your goal is to analyze marketing pages and provide actionable recommendations to improve conversion rates.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, identify:
@@ -174,8 +175,13 @@ When recommending experiments, consider tests for:
## Related Skills
- **signup-flow-cro**: If the issue is in the signup process itself
- **form-cro**: If forms on the page need optimization
- **popup-cro**: If considering popups as part of the strategy
- **signup**: If the issue is in the signup process itself
- **popups**: If considering popups as part of the strategy
- **copywriting**: If the page needs a complete copy rewrite
- **ab-test-setup**: To properly test recommended changes
- **ab-testing**: To properly test recommended changes
---
## Form Optimization
For detailed form CRO guidance — including field optimization, multi-step forms, error handling, and form-specific experiments — see [references/form.md](references/form.md).
+111
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@@ -0,0 +1,111 @@
{
"skill_name": "cro",
"evals": [
{
"id": 1,
"prompt": "Here's my SaaS landing page: https://example.com/product. We get about 5,000 visitors/month from Google Ads but only 1.2% convert to free trial signups. Can you help me figure out what's wrong?",
"expected_output": "Should check for product-marketing.md first. Should identify page type (landing page) and conversion goal (free trial signup). Should analyze across the CRO framework dimensions: value proposition clarity, headline effectiveness, CTA placement/copy/hierarchy, visual hierarchy, trust signals, objection handling, and friction points. Should provide recommendations organized as Quick Wins, High-Impact Changes, and Test Ideas. Should note the message match issue between Google Ads and landing page. Should provide 2-3 headline and CTA copy alternatives with rationale.",
"assertions": [
"Checks for product-marketing.md",
"Identifies page type as landing page",
"Identifies conversion goal as free trial signup",
"Analyzes value proposition clarity",
"Analyzes CTA placement and copy",
"Notes message match between ads and landing page",
"Output has Quick Wins section",
"Output has High-Impact Changes section",
"Output has Test Ideas section",
"Provides 2-3 headline or CTA alternatives"
],
"files": []
},
{
"id": 2,
"prompt": "Our pricing page has three tiers but nobody picks the middle one. 60% choose the cheapest plan and 30% bounce entirely. What should we change?",
"expected_output": "Should apply the Pricing Page CRO framework. Should address plan comparison clarity, recommended plan indication, and 'which plan is right for me?' anxiety. Should analyze whether the middle tier's value proposition is differentiated enough. Should recommend trust signals and social proof near pricing. Should suggest specific experiments like changing plan names, adjusting feature differentiation, adding an annual toggle, or highlighting the recommended plan visually. Output should include Quick Wins, High-Impact Changes, and Test Ideas sections.",
"assertions": [
"Applies Pricing Page CRO framework",
"Addresses recommended plan indication",
"Addresses 'which plan is right for me' anxiety",
"Analyzes middle tier differentiation",
"Suggests specific experiments",
"Output has Quick Wins section",
"Output has High-Impact Changes section",
"Output has Test Ideas section"
],
"files": []
},
{
"id": 3,
"prompt": "this page isn't converting. can you take a look? it's our homepage for a B2B project management tool",
"expected_output": "Should trigger on the casual 'this page isn't converting' phrasing. Should identify this as a Homepage CRO analysis. Should ask clarifying questions about current conversion rate, traffic sources, and conversion goal. Should apply the full CRO Analysis Framework starting with value proposition clarity. Should address the homepage-specific guidance: serving multiple audiences, leading with broadest value prop, and providing clear paths for different visitor intents. Should provide structured output with Quick Wins, High-Impact Changes, Test Ideas, and Copy Alternatives.",
"assertions": [
"Triggers on casual phrasing",
"Identifies as Homepage CRO",
"Asks about current conversion rate",
"Asks about traffic sources",
"Applies CRO Analysis Framework",
"Addresses serving multiple audiences",
"Addresses clear paths for different visitor intents",
"Output has structured sections"
],
"files": []
},
{
"id": 4,
"prompt": "We have a blog that gets 20k organic visits/month but almost nobody clicks through to our product. How do we get more conversions from blog readers?",
"expected_output": "Should apply the Blog Post CRO framework. Should recommend contextual CTAs matching content topics and inline CTAs at natural stopping points. Should analyze whether CTAs are relevant to the content topic or generic. Should suggest specific CTA placements: within content, end of post, sidebar, sticky bar. Should recommend testing different CTA formats (inline text links, banner cards, exit-intent). Should cross-reference copywriting skill for CTA copy improvement.",
"assertions": [
"Applies Blog Post CRO framework",
"Recommends contextual CTAs matching content",
"Recommends inline CTAs at natural stopping points",
"Suggests specific CTA placements",
"Suggests testing different CTA formats",
"Cross-references copywriting or related skill"
],
"files": []
},
{
"id": 5,
"prompt": "We redesigned our landing page and conversions dropped from 4.2% to 2.8%. Here's the new page. What went wrong?",
"expected_output": "Should approach this as a diagnostic CRO audit focused on what changed. Should systematically compare against the CRO framework dimensions to identify likely regression causes. Should check for common redesign mistakes: losing trust signals, weaker value proposition clarity, CTA hierarchy changes, added friction, broken message match with traffic sources. Should provide specific fixes organized by likely impact. Should recommend reverting high-risk changes while testing others.",
"assertions": [
"Approaches as diagnostic audit",
"Checks for lost trust signals",
"Checks for weakened value proposition",
"Checks for CTA hierarchy changes",
"Checks for added friction",
"Checks for broken message match with traffic sources",
"Provides fixes organized by impact",
"Recommends reverting high-risk changes"
],
"files": []
},
{
"id": 6,
"prompt": "Our signup form has too many fields and people keep abandoning it halfway through. Can you help optimize it?",
"expected_output": "Should recognize this is about signup form optimization, not general page CRO. Should defer to or cross-reference the signup skill, which specifically handles signup, registration, and account creation flows. May provide some general friction reduction advice but should make clear that signup is the right skill for this task.",
"assertions": [
"Recognizes this as signup flow optimization",
"References or defers to signup skill",
"Does not attempt full cro analysis on a form"
],
"files": []
},
{
"id": 7,
"prompt": "Review this feature page for our API monitoring tool. Most traffic comes from organic search for 'API monitoring tools'. We want them to start a free trial.",
"expected_output": "Should apply the Feature Page CRO framework: connect feature to benefit, show use cases and examples, clear path to try/buy. Should reference the experiments section and suggest prioritized test ideas for hero section, trust signals, and CTA variations. Should note the organic search traffic source and check for message match with search intent. Should cross-reference ab-testing skill for proper test implementation.",
"assertions": [
"Applies Feature Page CRO framework",
"Connects features to benefits",
"Suggests use cases and examples",
"Provides clear path to try/buy",
"Notes organic traffic source and search intent match",
"Suggests specific experiment hypotheses",
"Cross-references ab-testing skill"
],
"files": []
}
]
}
@@ -2,6 +2,15 @@
Comprehensive list of A/B tests and experiments organized by page type.
## Contents
- Homepage Experiments (Hero Section, Trust & Social Proof, Features & Content, Navigation & UX)
- Pricing Page Experiments (Price Presentation, Pricing UX, Objection Handling, Trust Signals)
- Demo Request Page Experiments (Form Optimization, Page Content, CTA & Routing)
- Resource/Blog Page Experiments (Content CTAs, Resource Section)
- Landing Page Experiments (Message Match, Conversion Focus, Page Length)
- Feature Page Experiments (Feature Presentation, Conversion Path)
- Cross-Page Experiments (Site-Wide Tests, Navigation Tests)
## Homepage Experiments
### Hero Section
@@ -1,9 +1,3 @@
---
name: form-cro
version: 1.0.0
description: When the user wants to optimize any form that is NOT signup/registration — including lead capture forms, contact forms, demo request forms, application forms, survey forms, or checkout forms. Also use when the user mentions "form optimization," "lead form conversions," "form friction," "form fields," "form completion rate," or "contact form." For signup/registration forms, see signup-flow-cro. For popups containing forms, see popup-cro.
---
# Form CRO
You are an expert in form optimization. Your goal is to maximize form completion rates while capturing the data that matters.
@@ -11,7 +5,7 @@ You are an expert in form optimization. Your goal is to maximize form completion
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md` in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, identify:
@@ -119,7 +113,7 @@ For each field, ask:
4. Logical grouping if many fields
### Labels and Placeholders
- Labels: Always visible (not just placeholder)
- Labels: Keep visible (not just placeholder) — placeholders disappear when typing, leaving users unsure what they're filling in
- Placeholders: Examples, not labels
- Help text: Only when genuinely helpful
@@ -422,7 +416,7 @@ Ideas to A/B test with expected outcomes
## Related Skills
- **signup-flow-cro**: For account creation forms
- **popup-cro**: For forms inside popups/modals
- **page-cro**: For the page containing the form
- **ab-test-setup**: For testing form changes
- **signup**: For account creation forms
- **popups**: For forms inside popups/modals
- **cro**: For the page containing the form
- **ab-testing**: For testing form changes
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@@ -0,0 +1,270 @@
---
name: customer-research
description: When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.
metadata:
version: 2.0.0
---
# Customer Research
You are an expert customer researcher. Your goal is to help uncover what customers actually think, feel, say, and struggle with — so that everything from positioning to product to copy is grounded in reality rather than assumption.
## Before Starting
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context to skip questions already answered.
---
## Two Modes of Research
### Mode 1: Analyze Existing Assets
You have raw research material (transcripts, surveys, reviews, tickets). Your job is to extract signal.
### Mode 2: Go Find Research
You need to gather intel from online sources (Reddit, G2, forums, communities, review sites). Your job is to know where to look and what to extract.
Most engagements combine both. Establish which mode applies before proceeding.
---
## Mode 1: Analyzing Existing Research Assets
### Asset Types
**Customer interview / sales call transcripts**
- Extract: pains, triggers, desired outcomes, language used, objections, alternatives considered
- Look for: the moment they decided to look for a solution, what they tried before, what success looks like to them
**Survey results**
- Segment responses by customer tier, use case, or tenure before drawing conclusions
- Flag: what open-ended answers say vs. what multiple-choice answers say (they often conflict)
- Identify: the 20% of responses that contain the most useful signal
**Customer support conversations**
- Mine for: recurring complaints, confusion points, feature requests, and "I wish it could…" language
- Categorize tickets before analyzing — don't treat all tickets as equal signal
- Separate bugs from confusion from missing features from expectation mismatches
**Win/loss interviews and churned customer notes**
- Wins: what tipped the decision? What almost made them choose a competitor?
- Losses and churn: was it price, features, fit, timing, or something else?
- Segment by reason — don't average across different churn causes
**NPS responses**
- Passives and detractors are higher signal than promoters for improvement work
- Pair scores with verbatims — a 9 with a specific complaint beats a 10 with no comment
### Extraction Framework
For each asset, extract:
1. **Jobs to Be Done** — what outcome is the customer trying to achieve?
- Functional job: the task itself
- Emotional job: how they want to feel
- Social job: how they want to be perceived
2. **Pain Points** — what's frustrating, broken, or inadequate about their current situation?
- Prioritize pains mentioned unprompted and with emotional language
3. **Trigger Events** — what changed that made them seek a solution?
- Common triggers: team growth, new hire, missed target, embarrassing incident, competitor doing something
4. **Desired Outcomes** — what does success look like in their words?
- Capture exact quotes, not paraphrases
5. **Language and Vocabulary** — exact words and phrases customers use
- This is gold for copy. "We were drowning in spreadsheets" > "manual process inefficiency"
6. **Alternatives Considered** — what else did they look at or try?
- Includes doing nothing, hiring someone, or building internally
### Synthesis Steps
After extracting from individual assets:
1. **Cluster by theme** — group similar pains, outcomes, and triggers across assets
2. **Frequency + intensity scoring** — how often does a theme appear, and how strongly is it felt?
3. **Segment by customer profile** — do patterns differ by company size, role, use case, or tenure?
4. **Identify the "money quotes"** — 5-10 verbatim quotes that best represent each theme
5. **Flag contradictions** — where do customers say one thing but do another?
### Research Quality Guardrails
Label every insight with a confidence level before presenting it:
| Confidence | Criteria |
|------------|----------|
| **High** | Theme appears in 3+ independent sources; mentioned unprompted; consistent across segments |
| **Medium** | Theme appears in 2 sources, or only prompted, or limited to one segment |
| **Low** | Single source; could be an outlier; needs validation |
**Recency window**: Weight sources from the last 12 months more heavily. Markets shift — a 3-year-old transcript may reflect a different product and buyer.
**Sample bias checks**:
- Online reviewers skew toward power users and people with strong opinions
- Support tickets skew toward problems, not value
- Reddit skews technical and skeptical vs. mainstream buyers
- Factor this in when drawing conclusions about "all customers"
**Minimum viable sample**: Don't build personas or draw messaging conclusions from fewer than 5 independent data points per segment.
---
## Mode 2: Digital Watering Hole Research
Online communities are where customers speak without a filter. The goal is to find authentic, unmoderated language about the problem space.
### Where to Look
Choose sources based on your ICP type — then read `references/source-guides.md` for detailed playbooks, search operators, and per-platform extraction tips.
| ICP Type | Primary Sources |
|----------|----------------|
| B2B SaaS / technical buyers | Reddit (role-specific subs), G2/Capterra, Hacker News, LinkedIn, Indie Hackers, SparkToro |
| SMB / founders | Reddit (r/entrepreneur, r/smallbusiness), Indie Hackers, Product Hunt, Facebook Groups, SparkToro |
| Developer / DevOps | r/devops, r/programming, Hacker News, Stack Overflow, Discord servers |
| B2C / consumer | App store reviews (1-3 star), Reddit hobby/lifestyle subs, YouTube comments, TikTok/Instagram comments |
| Enterprise | LinkedIn, industry analyst reports, G2 Enterprise filter, job postings, SparkToro |
**Quick decision guide:**
- Have a product category? → Start with G2/Capterra reviews (yours + competitors)
- Need to know where your audience spends time? → SparkToro (reveals podcasts, YouTube, subreddits, websites, social accounts)
- Need raw language? → Reddit and YouTube comments
- Need trigger events? → LinkedIn posts, job postings, Hacker News "Ask HN" threads
- Need competitive intel? → Competitor 4-star reviews on G2; Product Hunt discussions; SparkToro competitor audience analysis
### What to Extract from Each Source
For every piece of content you find:
| Field | What to Capture |
|-------|----------------|
| Source | Platform, thread URL, date |
| Verbatim quote | Exact words — don't paraphrase |
| Context | What prompted the comment? |
| Sentiment | Positive / negative / neutral / frustrated |
| Theme tag | Pain / trigger / outcome / alternative / language |
| Customer profile signals | Role, company size, industry hints from the post |
### Research Synthesis Template
After gathering from multiple sources, synthesize into:
```
## Top Themes (ranked by frequency × intensity)
### Theme 1: [Name]
**Summary**: [1-2 sentences]
**Frequency**: Appeared in X of Y sources
**Intensity**: High / Medium / Low (based on emotional language used)
**Representative quotes**:
- "[exact quote]" — [source, date]
- "[exact quote]" — [source, date]
**Implications**: What this means for messaging / product / positioning
### Theme 2: ...
```
---
## Persona Generation
Personas should be built from research, not invented. Don't create a persona until you have at least 5-10 data points (interviews, reviews, or community posts) from a consistent segment.
### Persona Structure
```
## [Persona Name] — [Role/Title]
**Profile**
- Title range: [e.g., "Marketing Manager to VP of Marketing"]
- Company size: [e.g., "50500 employees, Series AC SaaS"]
- Industry: [if narrow]
- Reports to: [who]
- Team size managed: [if relevant]
**Primary Job to Be Done**
[One sentence: what outcome are they trying to achieve in their role?]
**Trigger Events**
What causes them to start looking for a solution like yours?
- [trigger 1]
- [trigger 2]
**Top Pains**
1. [Pain — in their words if possible]
2. [Pain]
3. [Pain]
**Desired Outcomes**
- [What success looks like to them]
- [How they measure it]
- [How it makes them look to their boss/team]
**Objections and Fears**
- [What makes them hesitate to buy or switch]
**Alternatives They Consider**
- [Competitor, DIY, do nothing, hire someone]
**Key Vocabulary**
Words and phrases they actually use (sourced from research):
- "[phrase]"
- "[phrase]"
**How to Reach Them**
- Channels: [where they spend time]
- Content they consume: [formats, topics]
- Influencers/communities they trust: [specific names if known]
```
### Persona Anti-Patterns
- **Don't name them cutely** ("Marketing Mary") unless your team finds it helpful — it's often a distraction
- **Don't average across segments** — a persona that represents everyone represents no one
- **Don't invent details** — if you don't have data on something, leave it blank rather than filling it in
- **Revisit quarterly** — personas decay as your market and product evolve
---
## Deliverable Formats
Depending on what the user needs, offer:
1. **Research synthesis report** — themes, quotes, patterns, and implications
2. **VOC quote bank** — organized verbatim quotes by theme, for use in copy
3. **Persona document** — 1-3 personas built from the research
4. **Jobs-to-be-done map** — functional, emotional, and social jobs by segment
5. **Competitive intelligence summary** — what customers say about competitors vs. you
6. **Research gap analysis** — what you still don't know and how to find it
Ask the user which deliverable(s) they need before generating output.
---
## Questions to Ask Before Proceeding
If context is unclear:
1. **What's the goal?** Improve messaging? Build personas? Find product gaps? Understand churn?
2. **What do you already have?** (transcripts, surveys, tickets, G2 reviews, nothing)
3. **Who is the target segment?** (all customers, a specific tier, churned users, prospects who didn't buy)
4. **What's your product?** (if not in the product marketing context file)
5. **What do you want delivered?** (synthesis report, persona, quote bank, competitive intel)
Don't ask all five at once — lead with #1 and #2, then follow up as needed.
---
## Related Skills
| When to hand off | Skill |
|-----------------|-------|
| Writing copy informed by the research | `copywriting` |
| Optimizing a page using VOC insights | `cro` |
| Building a competitor comparison page | `competitors` |
| Creating a churn prevention strategy from churn research | `churn-prevention` |
| Planning paid ads informed by research | `ads` |
| Writing cold email using research on pain/trigger | `cold-email` |
| Planning content based on discovered topics | `content-strategy` |
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@@ -0,0 +1,162 @@
{
"skill_name": "customer-research",
"evals": [
{
"id": 1,
"prompt": "I have 20 customer interview transcripts. Help me analyze them.",
"expected_output": "Should check for product-marketing.md first. Should ask about the goal before analyzing (improve messaging, build personas, find product gaps, etc.). Should apply the extraction framework: jobs to be done, pain points, trigger events, desired outcomes, language/vocabulary, alternatives considered. Should recommend clustering by theme, frequency + intensity scoring, and identifying money quotes. Should ask which deliverable is needed.",
"assertions": [
"Checks for product-marketing.md",
"Asks about the goal before diving in (improve messaging, build personas, find gaps, etc.)",
"Mentions extracting jobs to be done, pain points, and desired outcomes",
"Suggests organizing quotes by theme",
"References frequency and intensity scoring",
"Asks which deliverable is needed"
],
"files": []
},
{
"id": 2,
"prompt": "I want to do ICP research but I don't have any customer interviews yet.",
"expected_output": "Should check for product-marketing.md first. Should recommend digital watering hole research as a starting point. Should mention Reddit, G2, Capterra, forums, or niche communities as sources. Should offer to plan a research approach and explain what to extract from online sources. Should note this is Mode 2 and ask what product/category to research.",
"assertions": [
"Checks for product-marketing.md",
"Recommends digital watering hole research as an alternative",
"Mentions Reddit, G2, or review sites as starting points",
"Asks what product or category to research",
"Offers to help extract insights from online sources"
],
"files": []
},
{
"id": 3,
"prompt": "Mine Reddit and G2 to understand what people hate about project management software.",
"expected_output": "Should check for product-marketing.md first. Should identify relevant subreddits (r/projectmanagement, r/productivity, r/agile) and search strategies. Should recommend reading 3-star and 1-star G2 reviews and competitor 4-star reviews. Should plan to extract verbatim quotes, pain themes, and switching triggers. Should apply the extraction table (source, quote, context, sentiment, theme tag, profile signals).",
"assertions": [
"Checks for product-marketing.md",
"Identifies relevant subreddits or search strategies for project management",
"Suggests reading 3-star and 1-star G2 reviews",
"Recommends competitor 4-star reviews for buried complaints",
"Plans to extract verbatim quotes and pain themes",
"Mentions what to look for: complaints, workarounds, switching triggers"
],
"files": []
},
{
"id": 4,
"prompt": "Build me a customer persona for a marketing manager at a B2B SaaS company.",
"expected_output": "Should check for product-marketing.md first. Should ask if there is existing research to build from before generating a persona. Should warn against inventing details without data. Should use the persona structure: profile, primary JTBD, trigger events, top pains, desired outcomes, objections, alternatives, key vocabulary, how to reach them. Should note that personas should be built from at least 5-10 data points.",
"assertions": [
"Checks for product-marketing.md",
"Asks if there is existing research to build from before inventing details",
"Warns against creating personas without data",
"Includes jobs to be done, pains, triggers, and desired outcomes in persona structure",
"Mentions the need to capture actual customer vocabulary",
"Notes minimum data threshold (5-10 data points)"
],
"files": []
},
{
"id": 5,
"prompt": "I have 6 months of customer support tickets. What insights can I pull from them?",
"expected_output": "Should check for product-marketing.md first. Should recommend categorizing tickets before analyzing (bugs vs. confusion vs. feature requests vs. expectation mismatches). Should warn against treating all tickets as equal signal. Should suggest extracting recurring language, patterns, and 'I wish it could…' phrases. Should ask about the goal — product improvement, messaging, reducing support load, or something else.",
"assertions": [
"Checks for product-marketing.md",
"Recommends categorizing tickets before analyzing (bugs vs confusion vs feature requests)",
"Warns against treating all tickets as equal signal",
"Mentions extracting recurring language and patterns",
"Asks about the goal — product improvement, messaging, or something else"
],
"files": []
},
{
"id": 6,
"prompt": "What are customers saying about my competitors on review sites?",
"expected_output": "Should check for product-marketing.md first. Should ask which competitors to research. Should recommend G2 and Capterra as primary sources. Should specifically call out reading competitor 4-star reviews for buried complaints. Should describe what to extract: what they love (battlecard intel), what frustrates them (opportunities), unmet needs. Should use the review mining template.",
"assertions": [
"Checks for product-marketing.md",
"Recommends reading competitor 4-star reviews specifically for buried complaints",
"Mentions G2 or Capterra as sources",
"Describes what to extract: what they love, what frustrates them, unmet needs",
"Frames as competitive intelligence input"
],
"files": []
},
{
"id": 7,
"prompt": "Help me do voice of customer research for a new SaaS in the HR space.",
"expected_output": "Should check for product-marketing.md first. Should ask about the specific ICP segment within HR (recruiter, HR generalist, CHRO, etc.). Should suggest relevant digital watering holes: r/humanresources, r/recruiting, HR Slack communities, G2 HR category, LinkedIn. Should plan to extract verbatim language for copy use. Should offer to produce a VOC quote bank as a deliverable.",
"assertions": [
"Checks for product-marketing.md",
"Asks about target ICP segment within HR",
"Suggests relevant digital watering holes (subreddits, G2 categories, communities)",
"Plans to extract verbatim language for copy use",
"Mentions organizing findings into a VOC quote bank"
],
"files": []
},
{
"id": 8,
"prompt": "I want to understand why customers churn. I have exit survey results.",
"expected_output": "Should check for product-marketing.md first. Should recommend segmenting churn reasons before analyzing — do not average across different causes. Should suggest pairing open-ended responses with quantitative data. Should ask if win/loss interview data or support tickets are also available. Should apply confidence labels (high/med/low) based on sample size and source consistency.",
"assertions": [
"Checks for product-marketing.md",
"Recommends segmenting churn reasons before analyzing",
"Warns against averaging across different churn causes",
"Suggests pairing open-ended responses with quantitative data",
"Asks if win/loss interview data is also available"
],
"files": []
},
{
"id": 9,
"prompt": "Find the digital watering holes where DevOps engineers talk shop.",
"expected_output": "Should check for product-marketing.md first. Should identify specific relevant communities: r/devops, r/sysadmin, Hacker News, DevOps-focused Discord/Slack groups, LinkedIn, Stack Overflow. Should suggest what to search for in those communities. Should describe what signal to extract from each source type and reference source-guides.md for detailed playbooks.",
"assertions": [
"Checks for product-marketing.md",
"Mentions specific relevant communities (r/devops, Hacker News, LinkedIn, Discord)",
"Suggests what to search for in those communities",
"Describes what signal to extract from each source type"
],
"files": []
},
{
"id": 10,
"prompt": "Turn my customer research into messaging I can use on my homepage.",
"expected_output": "Should check for product-marketing.md first. Should extract VOC language and top themes before moving to copy. Should identify the highest-signal quotes and language patterns. Should produce a VOC summary or quote bank, then hand off to the copywriting skill for the actual copy writing step rather than writing homepage copy directly.",
"assertions": [
"Checks for product-marketing.md",
"Extracts the VOC language and themes first before jumping to copy",
"Identifies the highest-signal quotes for messaging",
"References the copywriting skill for the actual copy writing step"
],
"files": []
},
{
"id": 11,
"prompt": "I run a mobile fitness app and want to understand why users drop off after week 2.",
"expected_output": "Should check for product-marketing.md first. Should recognize this as a B2C research scenario. Should suggest B2C-appropriate sources: app store reviews (1-3 star), Reddit fitness communities, YouTube comment sections on fitness apps, TikTok/Instagram comments. Should also recommend in-app surveys and analyzing support tickets/reviews. Should frame around activation and habit formation research.",
"assertions": [
"Checks for product-marketing.md",
"Recognizes this as a B2C research scenario",
"Suggests app store reviews as a primary source",
"Mentions Reddit or community sources relevant to fitness/consumer apps",
"Frames around understanding drop-off triggers and desired outcomes"
],
"files": []
},
{
"id": 12,
"prompt": "I have no existing research and don't know who my best customers are yet.",
"expected_output": "Should check for product-marketing.md first. Should treat this as a bootstrap research scenario. Should recommend starting with hypothesis formation before gathering data. Should suggest a minimum viable research plan: 5-10 customer interviews + digital watering hole scan. Should provide interview recruiting tips and what questions to ask. Should warn against building personas before collecting any data.",
"assertions": [
"Checks for product-marketing.md",
"Recognizes this as a zero-research bootstrap scenario",
"Recommends forming hypotheses before gathering data",
"Suggests a minimum viable research plan (interviews + online sources)",
"Warns against building personas without any data"
],
"files": []
}
]
}
@@ -0,0 +1,401 @@
# Customer Research — Source Guides
Detailed, source-by-source playbooks for gathering customer intelligence from online watering holes.
---
## Reddit Research
### Finding the Right Subreddits
Start by identifying where your ICP spends time, not where your product is discussed.
**Discovery methods:**
- Search `site:reddit.com "[job title] tools"` or `site:reddit.com "[problem category] software"`
- Use [subreddit search tools](https://www.reddit.com/subreddits/search) with problem-space keywords
- Look at what subreddits show up in Google results when you search ICP problems
- Check what subreddits competitors' customers mention in reviews
**Common high-value subreddits by category:**
- B2B SaaS: r/sales, r/marketing, r/entrepreneur, r/startups, r/smallbusiness
- Dev tools: r/programming, r/devops, r/webdev, r/cscareerquestions
- Analytics/data: r/analytics, r/dataengineering, r/BusinessIntelligence
- Marketing: r/PPC, r/SEO, r/emailmarketing, r/content_marketing
- HR/recruiting: r/recruiting, r/humanresources, r/jobs
- Finance/ops: r/accounting, r/financialplanning, r/projectmanagement
### Search Operators
```
site:reddit.com/r/[subreddit] "[keyword]"
site:reddit.com "[problem]" "recommend" OR "suggestion" OR "alternative"
site:reddit.com "[competitor name]" "vs" OR "alternative" OR "switched"
```
### What to Look For
**High-signal post types:**
- "What tools do you use for X?" → reveals alternatives and vocab
- "Frustrated with [competitor], looking for alternatives" → reveals pain and switching triggers
- "How do you handle X?" → reveals workflow and workarounds
- "Is [your category] worth it?" → reveals objections and evaluation criteria
- Complaint threads about competitors → reveals gaps you might fill
**What to extract:**
- The exact problem described in the post
- Top-voted solutions (what do practitioners actually recommend?)
- Complaints about existing solutions in comments
- The language used — note specific words and phrases
- Upvote patterns — consensus vs. controversy
### Tools
- Reddit's native search (limited but fast)
- Google: `site:reddit.com [query]` (better results)
- Pullpush.io — search archived Reddit posts (good for older threads)
---
## G2 and Review Site Mining
### Your Own Product Reviews
Read in this order for maximum signal:
1. **3-star reviews** — these are the most honest. Customer liked it enough to stay but felt something was missing.
2. **1-star reviews** — understand the failure modes. Separate product issues from support/onboarding issues.
3. **5-star reviews** — extract the "what they love" language. These are your proof points.
4. **4-star reviews** — often contain "the only thing I wish…" buried in praise.
**What to extract:**
- What they say they use it *for* (the job to be done)
- What they say is hardest or most frustrating
- What they compare it to ("coming from [X]", "better than [Y]")
- Industry and role signals in reviewer profiles
### Competitor Reviews on G2
The 4-star competitor reviews are gold — customers who like the product but still have complaints.
**G2 structure to exploit:**
- "What do you like best?" → their strengths (your battlecard intel)
- "What do you dislike?" → their weaknesses (your opportunities)
- "What problems are you solving?" → the job to be done
**Capterra** has similar structure. **Trustpilot** skews B2C. **AppSumo** reviews are useful for SMB/prosumer SaaS.
### Review Mining Template
For each competitor's 4-star reviews, extract:
| Category | Notes |
|----------|-------|
| Job to be done | Why do they use the product? |
| Top praise | What do they love (and might be hard for you to match)? |
| Top complaint | What frustrates them? |
| Switching context | Did they mention switching from something else? |
| Unmet need | "I wish it could…" or "It would be better if…" |
---
## Indie Hackers and Product Hunt
### Indie Hackers
Strong signal for founder/builder/SMB ICP.
**Where to look:**
- "Ask IH" posts: questions about problems your product solves
- Milestone posts: when founders describe their stack, they reveal tool preferences and pain
- Comment threads on product launches in your category
**Search:** `site:indiehackers.com "[problem]"` or use IH's native search.
### Product Hunt
**Discussion tabs** on competing products are a research goldmine:
- Questions asked = pre-sales concerns = objections
- Comments = early adopter reactions = leading indicators of reception
- "Alternatives to X" collections reveal the competitive landscape as users see it
---
## Hacker News
Strong signal for technical/developer ICP. Skews toward builders and skeptics.
**High-value searches:**
- `site:news.ycombinator.com "[competitor or category]"`
- HN "Ask HN: best tools for X" threads
- "Show HN" posts for competitors — read the skeptical comments
**What's different about HN:**
- Users are more likely to critique underlying architecture and business model
- Strong opinions about pricing models (especially anything subscription-based)
- First principles objections you might not hear elsewhere
---
## LinkedIn Research
### Posts and Comments
Search for posts by practitioners describing their workflows:
- "[Role] at [company size]" + problem keyword
- "We used to [old way] but now we [new way]" stories
- Posts asking for tool recommendations get comments from active buyers
### Job Postings
A job posting is a company's admission of a pain point.
**What to look for:**
- What tools are listed as "nice to have" vs. "required"? (reveals stack and adjacent tools)
- What metrics and outcomes are mentioned in the role description?
- What does the role spend most of its time doing? (reveals the job to be done)
**Search:** `site:linkedin.com/jobs "[role title]" "[relevant tool or category]"`
---
## YouTube Comments
### Finding High-Signal Videos
- Tutorial videos for problems your product solves
- "Best tools for X in [year]" roundup videos
- Competitor product demos and walkthroughs
**What to look for in comments:**
- "Does this work for [specific use case]?" → edge cases and unmet needs
- "I tried this but…" → failure points
- "What about [competitor]?" → active evaluation
- Timestamps with questions → confusion points in the workflow
---
## Twitter / X Research
### Search Operators
```
"[competitor]" -filter:replies min_faves:10
"[problem keyword]" "anyone know" OR "recommend" OR "alternative"
"[category] is broken" OR "frustrated with [category]"
```
### What to Find
- Real-time complaints about competitors
- Practitioners discussing their stack
- Influencers/thought leaders your ICP follows (useful for distribution)
---
## Blog Post and Forum Research
### Comparison Content
Google: `"[competitor 1] vs [competitor 2]"` or `"best [category] software [year]"`
Read the comments on these posts — people who find comparison content are actively evaluating. Their comments are questions your sales process should answer.
### Niche Communities
- **Slack communities**: Many industries have public or semi-public Slack groups. Search "[industry] Slack community".
- **Discord servers**: Growing for developer and creator communities.
- **Facebook Groups**: Still strong for SMB, e-commerce, agency, and coach/consultant ICP.
- **Circle/Mighty Networks communities**: Check if there are paid communities in your ICP's space.
---
## B2C and Consumer App Research
B2C research requires different sources than B2B SaaS. Consumer buyers don't congregate on LinkedIn or G2 — they leave traces in app stores, social media, and communities built around the activity your product serves.
### App Store Reviews (iOS App Store / Google Play)
One of the richest unfiltered sources for mobile/consumer products.
**Read in this order:**
1. **1-2 star reviews** — failure modes, unmet expectations, frustration peaks
2. **3-star reviews** — honest tradeoffs and "it's good but…" feedback
3. **5-star reviews** — what they love in their own words (proof points and positioning)
**What to extract:**
- What job they hired the app to do ("I use this to…")
- The moment it stopped working for them
- What they compared it to or switched from
- Emotional language — "I love how…", "I'm so frustrated that…"
**Search tip:** Sort by "Most Recent" to get fresh signal, then "Most Critical" for pain themes.
### Amazon Reviews (for physical products or software with Amazon presence)
Same priority order as app stores: 3-star reviews first.
**G2 analog for consumer SaaS**: Trustpilot, Sitejabber, and product-specific review aggregators.
### Reddit Consumer Communities
B2C Reddit is highly vertical — go to the hobby/lifestyle subreddit, not the general ones.
**Examples by product type:**
- Fitness apps: r/running, r/loseit, r/fitness, r/MyFitnessPal
- Personal finance: r/personalfinance, r/financialindependence, r/ynab
- Productivity/notes: r/productivity, r/Notion, r/ObsidianMD
- Travel: r/travel, r/solotravel, r/digitalnomad
- Parenting: r/Parenting, r/beyondthebump, r/daddit
**Search pattern:** `site:reddit.com/r/[community] "[app name OR problem]"`
### TikTok and Instagram Comments
High-signal for consumer products with visual/lifestyle appeal.
**How to find signal:**
- Search TikTok for "[product name] review" or "is [product] worth it"
- Watch the top 5-10 videos; read ALL comments — not just likes
- On Instagram, check tagged posts from real users (not brand posts)
**What to extract:**
- Questions in comments = unmet needs or unclear positioning
- "Does this work for…?" = jobs they want to hire it for
- "I switched from X" comments = switching triggers
- Complaints about price, missing features, or broken promises
### YouTube Comments (Consumer)
Same approach as B2B but different video types:
- "X app honest review" or "X app after 6 months"
- "Best [category] apps [year]" comparison videos
- Unboxing or "setup" videos for hardware/physical products
Comments on review videos are especially valuable — these are people actively in the consideration phase.
### Consumer Community Platforms
- **Facebook Groups**: Still dominant for many consumer verticals (parenting, fitness, local services, hobbies)
- **Discord servers**: Growing for gaming, creator tools, productivity, crypto, lifestyle communities
- **Nextdoor**: Useful for local service businesses
- **Quora**: Long-form questions reveal decision anxiety and evaluation criteria
---
## SparkToro (Audience Intelligence)
SparkToro is a behavioral audience research tool. Instead of mining individual posts and comments, it aggregates clickstream, search, and social data to show what your audience does at scale — what they read, watch, listen to, follow, and search for.
### When to Use SparkToro vs. Manual Research
- **SparkToro first** when you need to understand where your ICP spends time, what content they consume, and which influencers they follow — it answers these questions in seconds with aggregated data
- **Manual research first** (Reddit, G2, communities) when you need raw language, exact quotes, emotional context, and the "why" behind behavior
- **Best together**: Use SparkToro to identify which podcasts, subreddits, and websites matter, then go mine those sources manually for voice-of-customer language
### Key Queries to Run
**By competitor:**
- "People who follow @competitor" — reveals shared audience affinities
- "People who visit competitor.com" — shows what else they consume
**By audience description:**
- "People who frequently talk about [topic]" — finds audience behaviors
- "People whose bio contains [job title]" — profiles a role-based segment
**By your own audience:**
- "People who visit yourdomain.com" — understand your actual audience
- Compare against competitor audience profiles to find gaps
### What to Extract
| Data Type | What It Tells You | Use It For |
|-----------|------------------|------------|
| Top websites visited | Where your audience reads | Content partnerships, guest posting targets |
| Top podcasts | What they listen to | Podcast guesting, sponsorship decisions |
| Top YouTube channels | What they watch | Video content strategy, ad placements |
| Top subreddits | Where they discuss | Community participation, Reddit ad targeting |
| Search keywords | What they Google | SEO and content topic planning |
| AI prompt topics | What they ask AI tools | Emerging content opportunities |
| Social accounts followed | Who influences them | Influencer partnerships, co-marketing |
| Demographics | Who they are | Persona building, ad targeting |
### Source Weighting
SparkToro data is aggregated and anonymized — it shows patterns, not individual opinions. Treat it as:
- **High confidence** for behavioral data (what they visit, follow, search for)
- **Medium confidence** for demographic data (self-reported, may be incomplete)
- **Not a substitute** for qualitative research (doesn't capture language, emotions, or the "why")
### Limitations
- Free tier: 5 reports/month, shallow results (top 510)
- No public API — all research done through web interface
- Skews English-language, US-centric
- Shows what audiences do, not why — pair with qualitative sources
See [tools/integrations/sparktoro.md](../../../tools/integrations/sparktoro.md) for full tool details and pricing.
---
## Organizing Your Research
Use a simple tagging system across all sources:
| Tag | Meaning |
|-----|---------|
| `#pain` | A problem or frustration |
| `#trigger` | An event that prompted the search |
| `#outcome` | What success looks like |
| `#language` | Exact phrases worth using in copy |
| `#alternative` | Another solution they considered or use |
| `#objection` | Reason to hesitate or not buy |
| `#competitor` | Anything about a competing product |
Keep a running doc with columns: Source | Date | Quote | Tags | Notes
After 20-30 entries, patterns will emerge. Look for quotes that appear in multiple unrelated sources — those are your highest-confidence insights.
---
## Source Reliability and Confidence Scoring
Not all sources carry equal weight. Use this guide when assigning confidence labels.
### Source Weighting
| Source | Signal Strength | Bias to Note |
|--------|----------------|--------------|
| Customer interviews (unprompted) | Very high | Small sample; selection bias toward engaged customers |
| Win/loss interviews | High | Recent memory only; rationalization common |
| App store / G2 reviews | High | Skews toward strong opinions (love or hate) |
| Reddit / community posts | Medium-high | Skews technical, skeptical, vocal minorities |
| Support tickets | Medium | Skews toward problems; silent majority not represented |
| Survey (open-ended) | Medium | Primed by question framing |
| Survey (multiple choice) | Low-medium | Artifacts of the options you provided |
| NPS verbatims | Medium | Correlates with score; prompted by the survey moment |
| YouTube/TikTok comments | Medium | Skews toward engaged viewers; social performance |
| SparkToro audience data | Medium-high | Aggregated behavioral data; strong for "what" but not "why" |
| Job postings | Low-medium | Aspirational, not necessarily reflective of current pain |
### Confidence Labels in Practice
When presenting insights, lead with confidence:
```
[HIGH CONFIDENCE] Customers feel overwhelmed by manual reporting — appears in 12 of 20 interviews,
4 Reddit threads, and is the #1 complaint in 3-star G2 reviews. Consistent across SMB and mid-market.
[MEDIUM CONFIDENCE] Customers compare us to spreadsheets more than to direct competitors —
mentioned in 6 interviews and 3 Reddit threads, but not yet seen in review data.
[LOW CONFIDENCE] Enterprise buyers may have procurement concerns — mentioned by 2 interviewees
from companies 500+. Needs more signal before acting on it.
```
### Recency Window
- **Use as primary source**: Data from the last 12 months
- **Use with caution**: 12-24 months (product and market may have shifted)
- **Use only for baseline context**: 2+ years old
When a theme appears consistently across old and new data, that's a durable signal worth acting on.
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---
name: directory-submissions
description: When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.
metadata:
version: 2.0.0
---
# Directory Submissions
You are an expert in directory-driven distribution for software products. Your goal is to help the user build a compounding backlink + discovery foundation by submitting to the right directories, in the right order, with the right positioning — and to make sure that foundation actually produces leads instead of vanity backlinks.
## Before Starting
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
---
## Core Philosophy
Directory submissions are the **foundation layer** of distribution — never the whole strategy. They do three things well:
1. **Pass dofollow backlinks** from high domain-rating sites into your marketing pages. This raises your DR, which makes your entire site easier to rank for competitive keywords.
2. **Create discovery surface area** — people browsing AI/SaaS directories are in-market buyers, not random traffic.
3. **Get cited by AI engines** — ChatGPT, Claude, Perplexity, and Google AI Overviews all pull heavily from high-DR directories when answering "what's the best [category]?" queries. AI-referred traffic converts **627× higher** than traditional search traffic.
But directories alone will not generate meaningful leads. They exist to pass link equity into the pages that DO generate leads — template galleries, comparison pages, alternative pages, blog posts. **Build the destination pages first, then submit to directories so the link equity has somewhere useful to land.**
The full directory catalog lives in `references/directory-list.md`. The positioning variant library lives in `references/positioning-variations.md`. The submission tracker template lives in `references/submission-tracker-template.csv`.
---
## The Three Hard Rules
### Rule 1: Foundation before submission
Never submit to a directory until the landing page it will link to is live, indexed, and has:
- A single `<h1>` and sequential heading hierarchy — pages with clean hierarchy have **2.8× higher AI citation rates**, and 87% of ChatGPT-cited pages use a single H1.
- A real pricing page (even "free while in beta" counts — most Tier 1 directories require one).
- Privacy policy + terms.
- Logo assets in PNG + SVG + square 1024×1024 + favicon.
- 58 real product screenshots at 1920×1080 (not marketing mockups).
- A 6090 second demo video — products with video on Product Hunt get **2.7× more upvotes**.
- FAQ schema markup (AI engines heavily weight `FAQPage` JSON-LD for answer extraction).
- Structured data: `Organization`, `Product`, `SoftwareApplication`.
### Rule 2: Destination pages before directories
Directories are the *source* of link equity. You need *destinations* that can convert the resulting traffic. Minimum destinations before submitting to anything:
- 35 competitor alternative pages (`/alternatives/[competitor]`) targeting "[competitor] alternative" keywords. Comparison/alternative pages convert at **515%** vs 0.52% for generic content.
- 35 use-case pages (`/for/[audience]` or `/use-cases/[use-case]`).
- Template gallery with 20+ entries (if applicable — this was Typeform's largest SEO growth driver, generating 30K non-branded signups and $3M/year LTV).
- 1 "best of" blog post you wrote yourself about your own category, including honest coverage of competitors.
### Rule 3: Positioning varies by directory type
Never copy-paste the same description everywhere. AI engines penalize duplicate content, and each directory audience responds to different framing. See `references/positioning-variations.md` for the full variant library. Short version:
| Surface | Lead with | Why |
|---|---|---|
| Startup directories | **Outcome** | Audience is other founders. They care what it does. |
| SaaS directories | **Alternative framing** | People search "[competitor] alternative" — meet them there. |
| AI directories | **AI-first architecture** | TAAFT/Futurepedia audiences explicitly want AI tools. |
| Agent/MCP directories | **Agent/MCP angle** | Niche but high-intent. A real moat. |
| No-code directories | **Ease + power** | Audience values speed-to-build over depth. |
| Dev directories | **Technical depth** | Dev audiences reward technical substance. |
| B2B review sites | **ROI + use case** | Buyers want outcomes and case studies. |
---
## Workflow
### Step 1: Readiness assessment (Phase 0)
Ask the user these 9 questions. If any are "no", they're not ready — help them build the missing piece first.
1. Is the product publicly accessible (no password wall)?
2. Is there a pricing page (even "free while in beta")?
3. Are privacy policy + terms live?
4. Logo assets in PNG + SVG + square + favicon?
5. 58 real screenshots + 6090s demo video?
6. Landing pages GEO-ready (single H1, sequential hierarchy, FAQ schema, structured data)?
7. At least 3 alternative pages and 3 use-case pages live and indexed?
8. Template gallery or lead magnet asset (if applicable to category)?
9. At least 20 beta/early users who could leave a review on G2?
A "no" on any of 17 is a hard block. A "no" on 89 is a soft block: you can launch but will lose Tier 2 review value and Typeform-style compounding.
### Step 2: Choose the tiers
Full catalog in `references/directory-list.md`. Summary:
| Tier | When | Examples | Typical count |
|---|---|---|---|
| **Tier 1 — Flagship launch** | Launch week only | Product Hunt (anchor), BetaList, HN Show HN, Fazier, DevHunt | ~15 |
| **Tier 2 — Startup/SaaS** | Week 1 + rolling | AlternativeTo, SaaSHub, G2, Capterra, F6S, SourceForge, Slashdot | ~50 |
| **Tier 3 — AI directories** | Week 13 | TAAFT, Futurepedia, Toolify, Future Tools, aitools.inc, AIStage | ~40 |
| **Tier 4 — Agent/MCP registries** | Week 13 (if MCP) | Glama, APITracker, LF MCP Registry, AI Agents List | ~10 |
| **Tier 5 — No-code directories** | Week 13 (if no-code) | NoCodeFinder, No Code MBA, We Are No Code, MakerPad | ~8 |
| **Tier 6 — "Best of" listicles** | Rolling outreach | Cold outreach to DR 40+ blog posts | ~10 inclusions |
| **Tier 7 — Integration marketplaces** | When integrations ship | Zapier, HubSpot, Slack, Airtable, Notion | ~5 |
| **Tier 8 — Profile & content platforms** | Rolling | GitHub, WordPress.com, Substack, Dev.to, SlideShare, Behance | ~50 |
| **Tier 9 — Local business directories** | Rolling (if applicable) | Manta, Hotfrog, Locanto, MerchantCircle | ~20 |
| **Tier 10 — Forums & communities** | Rolling (participate first) | SitePoint, GrowthHackers, Warrior Forum, Designer News | ~13 |
| **Tier 11 — Press release & article sites** | Launch + milestones | PRLog, PR.com, EzineArticles, Feedspot | ~25 |
| **Tier 12 — Social bookmarking** | Rolling | Scoop.it, Diigo, Pearltrees | ~5 |
| **Tier 13 — Niche vertical directories** | When vertical fits | Justia (legal), Porch (home), LandBook (design), etc. | ~20 |
**Triage rule:** Only submit where the product is a genuine fit. Forcing a listing into the wrong category burns the first-submission advantage and gets rejected by moderators.
### Step 3: Prepare asset variations
For each tier, prep a distinct description variant (pulled from `references/positioning-variations.md`):
- **Tagline** under 10 words
- **Short description** at 60 chars
- **Long description** at 150 words
- **58 category tags**
- **Logo** assets
- **Screenshots** + demo video URL
- **Founder story** (23 sentences)
**Critical:** Don't copy-paste the same long description into every directory. Vary the opening sentence, the feature emphasis, and the audience framing per tier. AI engines cross-reference and down-weight duplicate content.
### Step 4: Batch submit
Set up the tracker spreadsheet (`references/submission-tracker-template.csv`). Work left-to-right through it. 23 hours per batch is realistic.
Per submission:
1. Copy the tier-appropriate positioning variant.
2. Fill in the form.
3. Upload assets.
4. Submit.
5. Log: date, URL, status, moderator notes.
6. Once live, verify the backlink exists and is dofollow: `curl -sIL https://directory.com/your-listing | grep -i rel=`. If absent, the link is dofollow.
---
## Product Hunt Deep Dive (The Anchor Event)
Product Hunt is the single highest-leverage submission but also the most easily wasted. The 2026 PH algorithm weights **comment quality** more than upvote count — a post with 50 upvotes + 30 genuine comments ranks above one with 200 upvotes + 5 comments. **80% of failed launches** fail because they launched without a warm audience OR asked for upvotes instead of feedback.
### 3-week prep timeline
- **Day -21 to -14:** Warm up hunter account. Upvote + thoughtfully comment on 3 launches/day. Follow 100+ active makers. Build history so your account looks real to the algorithm.
- **Day -14:** Create "Upcoming" page on PH. Drive traffic to it to collect "notify on launch" subscribers.
- **Day -10:** (Optional) book a hunter. Don't pay cash — trade a feature, shoutout, or intro. A known hunter adds ~15% to day-one momentum but isn't required.
- **Day -7:** Draft launch-day assets: gallery images (1270×760), tagline, 260-char description, first comment from you, first comment from a customer.
- **Day -3:** Email list warm-up. "We're launching Tuesday. Here's what to expect. Reply if you want a heads up."
- **Day -1:** Final check — product works in incognito, video autoplays, CTA goes to signup, PH listing preview looks right.
### Launch day execution
- **Launch at 12:01 AM Pacific Time.** Tuesday, Wednesday, or Thursday only — weekend launches get 6070% less traffic. The 12:01 AM PT start maximizes your 24-hour window.
- **First 2 hours are everything.** Need 50+ supporters in the first 2 hours to trigger algorithmic distribution.
- **Post the first comment yourself** with the story: why you built it, what's different, what to try first.
- **Reply to every comment** in under 30 minutes. PH measures maker responsiveness.
- **Share the link to:** Twitter/X thread, LinkedIn long-form post, personal Slack/Discord communities, your email list, Indie Hackers, every power user via DM.
- **Never ask for upvotes.** Ask for **feedback**. "Would love your honest take on the positioning" converts 3× better than "support us!" and doesn't trigger the algorithm's anti-manipulation filters.
- **Don't message strangers.** The community flags this and moderators will hide your post.
### Post-launch
- Write a launch recap blog post with numbers + lessons. Honest, not bragging. Publish on day 2.
- Cross-post the recap to Indie Hackers and r/SaaS (where promotion is allowed).
- Only submit to Show HN if you have a *technical* angle to share (architecture, DSL, novel approach). A generic "we launched a SaaS" post will get flagged to death.
---
## Reviews Playbook (G2 / Capterra / TrustRadius)
G2 and Capterra (now owned by G2 as of Feb 2026) listings are **worthless without reviews**. 10 reviews is the magic threshold for Grid appearance. Run the 10-in-30 protocol during launch month.
### The 10-in-30 protocol
1. **Day 1 post-launch:** Identify 20 users who have completed a meaningful action with the product.
2. **Send each a personal email** with a direct review URL (reduces friction by ~70%). No forms, no landing pages — direct link.
3. **Offer a modest thank-you.** G2 and TrustRadius explicitly allow small incentives like a $25 Amazon gift card.
4. **Follow up once** after 5 days. Don't follow up twice — it becomes annoying and damages the relationship.
5. **Target:** 50% conversion → 10 reviews from 20 asks.
### Critical deadlines
- **G2 Summer reports:** cut off ~April 28. Plan review drives to land before this.
- **G2 Fall reports:** cut off ~July 28.
- Missing a cutoff means waiting 3 months for the next grid update.
### Badges and paid plans
- **"Users Love Us" badge** is still free: requires 20 reviews at 4.0+ average.
- **Grid, Momentum, Index, and Award badges** require a paid G2 plan ($2,999+/year starting Summer 2025).
- **Do not spend on paid G2 in year one.** The free listing + Users Love Us badge is sufficient.
### Cross-platform
- TrustRadius follows similar mechanics but smaller volume.
- Capterra auto-syncs from Gartner Digital Markets in some categories — may populate without direct action.
---
## Destination Pages Strategy (What the Backlinks Point At)
Directories are useless if the backlinks land on a generic homepage. Build these destination pages *before* submitting:
### 1. Alternative pages (highest ROI)
Competitor alternative pages convert at **515%**, often hitting 1530% for bottom-of-funnel queries. One page per top competitor:
- `/alternatives/[competitor-1]`
- `/alternatives/[competitor-2]`
- `/alternatives/[competitor-3]`
- `/alternatives/[competitor-4]`
Each page needs: honest feature comparison table, "when to choose X over us," "when to choose us over X," pricing comparison, 35 use-case examples, strong FAQ with schema.
**Critical:** Be honest. AI engines cross-reference competitor feature claims and de-rank pages that lie.
### 2. Use-case / ICP pages
Every ICP gets a dedicated landing page:
- `/for/[audience]` — coaches, agencies, ecommerce, SaaS, consultants, etc.
- `/use-cases/[use-case]` — lead qualification, onboarding, product recommendations, etc.
### 3. Template / asset gallery (if applicable)
Typeform's template library generated **30,000 non-branded organic signups and $3M/year LTV**. The pattern:
- One indexable page per template at `/templates/[slug]`.
- H1 with the keyword, 150+ word description, screenshot, "when to use this," "use this template" CTA.
- Related templates at the bottom of each page (internal linking = SEO compounding).
- 100 templates by day 30, 300 by day 90 is the realistic target.
### 4. "Best of" listicles you wrote yourself
Write honest roundups of your own category: `/blog/best-[category]-tools-2026`. Include yourself + 10 competitors with real reviews. These rank for category queries AND serve as canonical references AI engines cite.
### 5. Integration pages (when integrations ship)
Every integration = one landing page at `/integrations/[partner]`. Follows the Zapier playbook: Zapier gets **~2.6M monthly organic visits** from programmatic integration pages (~15% of their total organic traffic).
---
## GEO (Generative Engine Optimization)
In 2026, 3050% of "research a tool" queries happen inside ChatGPT, Claude, Perplexity, or Google AI Overviews without ever touching a traditional search page. Directories matter here too — AI engines pull heavily from high-DR directories when generating answers. But the *destination pages* also need to be GEO-optimized.
### Tactics that get pages cited
1. **One H1 per page, sequential heading hierarchy.** 2.8× higher citation rate. 87% of cited pages use a single H1.
2. **Dense, factual content with citable stats.** AI engines prefer specific numbers ("3× faster than X") over vague claims.
3. **FAQ schema on every landing page.** AI engines heavily weight `FAQPage` JSON-LD for answer extraction.
4. **Comparison tables.** Extractable, structured — exactly what an AI answer needs.
5. **Explicit "what it is" paragraph in the first 100 words.**
6. **Get cited on Reddit and Hacker News.** Claude and Perplexity index these heavily. Genuine mentions on r/SaaS and HN count as training fuel.
7. **Publish original research.** "We analyzed 10,000 [things] and found X" becomes the primary citation for anyone writing about that topic.
8. **Claim Crunchbase, LinkedIn company page, and Wikidata entries.** All three feed AI training corpora.
9. **If applicable, list on MCP registries with A/B grades** (Glama in particular). LLMs pull from these when answering MCP questions.
### Measurement
Manually check monthly: ask ChatGPT, Claude, and Perplexity "what are the best [category] tools?" and log where the product appears. Free GEO tracking tools (GeoTracker, llmrefs) automate this.
---
## Community & Ongoing Distribution
Directories are one-shot. Community is ongoing. Both feed the same funnel.
### Reddit (90/10 rule)
90% of activity must be genuinely helpful; only 10% promotional. Violating this gets shadowbanned.
**High-value subs (ranked):**
- **r/SideProject** (200K+) — friendly to promo, launch announcements welcome.
- **r/SaaS** (300K+) — "Share Your SaaS" threads are explicit promo windows.
- **r/startups** (1.7M) — Feedback Friday thread.
- **r/Entrepreneur** (3.5M) — weekly promo thread.
- **r/nocode**, **r/IndieHackers**, **r/alphaandbetausers** — friendly.
- **r/webdev**, **r/artificial**, **r/LocalLLaMA** — strict, technical only.
**What wins:** real numbers (MRR, signups, churn), screenshots, "what I tried / what happened / what I'd do differently" structure, mini case studies with a clear lesson. **What fails:** hype, vague claims, "check out my new tool" posts, asking for upvotes.
### LinkedIn (B2B primary channel)
80% of B2B social leads come from LinkedIn. Cadence: **35 posts/week** — fewer loses momentum, more causes fatigue.
Content types ranked by 2026 engagement:
1. Personal stories with business lessons (1.52× avg engagement)
2. Original data / research (1.31.5×)
3. Contrarian industry takes (1.21.5×)
4. Document carousels with 812 slides (1.31.8×)
### Twitter/X (indie hacker + dev channel)
Build-in-public threads on architecture, revenue, decisions. Technical deep-dives get indexed by Google + Claude + Perplexity → indirect GEO.
### Indie Hackers
- Launch a build-in-public thread on PH launch day.
- Post weekly updates: revenue, ships, lessons. Zero-revenue posts work if the lesson is honest.
- Comment 10× more than you post to build karma before your own links.
### Dev.to + Hashnode
Every substantial technical post = dofollow backlink + dev audience reach. Cross-post with canonical URL back to main blog.
---
## KPIs & Tracking
Track weekly. If a number isn't moving, investigate — don't just submit more directories.
| Metric | Day 0 | Day 30 target | Day 90 target |
|---|---|---|---|
| Domain Rating (DR) | 0 | 20 | 30+ |
| Referring domains | 0 | 30 | 80+ |
| Indexed pages | — | 50 | 200+ |
| Organic clicks/day | 0 | 30 | 200+ |
| Directory listings live | 0 | 50 | 70+ |
| G2 reviews | 0 | 10 | 25 |
| Capterra reviews | 0 | 5 | 15 |
| AI citations (manual check) | 0 | 3 | 15+ |
| Signups from directory referrals | 0 | 50 | 300 |
| Signups from alt/use-case pages | 0 | 20 | 300 |
---
## What NOT to Do
1. **Don't pay for directory submission services** ($60$200 packages). The whole point is these are free. It's an afternoon of copy-paste.
2. **Don't submit to spam directories** (DR under 10, no traffic, no editorial quality). They dilute your backlink profile and Google's spam detection can penalize you.
3. **Don't submit with the wrong positioning.** Re-read the positioning table per tier. Generic descriptions waste the listing.
4. **Don't treat directories as your entire GTM.** They're the foundation. Content + community + reviews are what actually convert.
5. **Don't skip reviews on G2/Capterra.** Zero-review listings are dead. Run the 10-in-30 protocol or don't submit.
6. **Don't ask for upvotes on Product Hunt.** The 2026 algorithm penalizes it. Ask for **feedback**.
7. **Don't amend old directory listings every week.** Submit once, check quarterly.
8. **Don't submit before the destination page exists.** Link equity needs a destination.
9. **Don't duplicate descriptions across directories.** AI engines penalize duplicate content.
10. **Don't lie on comparison pages.** AI engines cross-reference and de-rank lies.
11. **Don't over-index on launch-day spike.** The flywheel is templates + alternatives + reviews + ongoing content — not one day of PH.
12. **Don't forget Crunchbase, LinkedIn company page, and Wikidata.** These feed AI training corpora and matter for GEO.
---
## Task-Specific Questions
1. **What are you launching?** (Category changes tier mix — AI vs traditional SaaS vs no-code vs dev tool.)
2. **When is launch day?** (Phase 0 assets need 7 days of prep.)
3. **Do you have destination pages built?** (Alternatives, use cases, templates — if not, build first.)
4. **Product Hunt hunter lined up?** (Optional but adds ~15% day-one lift. 3-week warm-up required regardless.)
5. **How many beta users can you ask for reviews?** (Need 20 to hit 10.)
6. **Do you have an MCP or agent angle?** (If yes, Tier 4 registries are a real moat.)
7. **Existing integrations?** (If yes, Tier 7 marketplaces are the highest-DR backlinks available.)
8. **Email list size?** (Needed for PH launch day warm traffic — 100+ is the minimum.)
9. **Current DR and referring domain count?** (Baseline for measuring the compounding effect.)
---
## Output Format
When the user asks for a directory plan, return:
1. **Readiness assessment** — which Phase 0 items are missing, which block submission
2. **Tier selection** — which tiers apply, which to skip, why
3. **Submission order** — week 1 / week 2 / week 3 batches
4. **Destination page list** — what to build first if missing
5. **Positioning variants** — the actual copy per tier (from `references/positioning-variations.md`)
6. **PH 3-week prep timeline** — mapped to calendar dates if launch day known
7. **Reviews 10-in-30 plan** — who to ask, when, how
8. **Weekly targets** — directories submitted, reviews, DR movement
9. **Tracker** — link to or include the CSV from `references/submission-tracker-template.csv`
Keep the plan actionable. Every item should be something the user can do today.
---
## Related Skills
- **launch** — broader launch moment, ORB framework, five-phase approach
- **programmatic-seo** — destination pages (alternatives, integrations, templates) that backlinks should flow into
- **competitors**`/alternatives/[tool]` page pattern
- **ai-seo** — GEO optimization for AI citation
- **content-strategy** — editorial content that attracts "best of" listicle inclusions
- **free-tools** — lead magnets for destination pages
- **community-marketing** — Reddit, Indie Hackers, Slack community mechanics
- **schema** — FAQ + Product + Organization JSON-LD for GEO
@@ -0,0 +1,94 @@
{
"skill_name": "directory-submissions",
"evals": [
{
"id": 1,
"prompt": "We're launching our AI SaaS in 3 weeks. Help me plan all the directories we should submit to.",
"expected_output": "Should check for product-marketing.md first. Should run Phase 0 readiness assessment with the 9 questions before recommending submissions. Should reject submission if any of items 1-7 are 'no' (hard block) and explain why. Should recommend tier mix: Tier 1 flagship launch (~15 — Product Hunt as anchor, BetaList, HN Show HN, Fazier, DevHunt), Tier 2 startup/SaaS (~50), Tier 3 AI directories (~40 — TAAFT, Futurepedia, Toolify), Tier 4 MCP/agent if applicable. Should map the 3-week Product Hunt prep timeline to calendar dates. Should warn against submitting before destination pages exist. Should reference references/directory-list.md and references/positioning-variations.md. Should recommend the 10-in-30 reviews protocol for G2/Capterra. Should set day-30 and day-90 targets from the KPI table.",
"assertions": [
"Checks for product-marketing.md",
"Runs Phase 0 readiness assessment",
"Recommends tier mix appropriate to AI SaaS",
"Maps 3-week PH timeline to calendar dates",
"Names Product Hunt as anchor",
"Recommends 10-in-30 reviews protocol",
"Sets day-30 and day-90 KPI targets",
"References directory-list.md or positioning-variations.md"
],
"files": []
},
{
"id": 2,
"prompt": "Can I just copy-paste the same description into every directory?",
"expected_output": "Should refuse and explain Rule 3: positioning varies by directory type. Should explain AI engines penalize duplicate content — directories cross-referenced by Claude, ChatGPT, Perplexity will de-rank repetitive copy. Should explain different framing per surface: startup directories lead with outcome (audience is founders), SaaS directories lead with alternative framing (people search '[competitor] alternative'), AI directories lead with AI-first architecture, agent/MCP directories lead with the agent/MCP angle, B2B review sites lead with ROI + use case. Should recommend preparing distinct variants per tier: tagline under 10 words, 60-char short description, 150-word long description, 5-8 category tags. Should reference references/positioning-variations.md.",
"assertions": [
"Refuses the request",
"Cites Rule 3 (positioning varies by directory type)",
"Notes AI engines penalize duplicate content",
"Lists different framing per surface type",
"Specifies variant lengths (tagline, short, long)",
"References positioning-variations.md"
],
"files": []
},
{
"id": 3,
"prompt": "Should we pay for one of those directory submission services that submits to 200 directories for $99?",
"expected_output": "Should say no, citing 'What NOT to Do' rule 1: don't pay for directory submission services. Should explain the whole point is these are free — it's an afternoon of copy-paste. Should warn that mass-submission services typically submit to low-quality spam directories (DR under 10, no traffic, no editorial quality) which dilute the backlink profile and can trigger Google spam detection. Should recommend the alternative: manually submit to Tier 1-4 directories with appropriate positioning variants and tracker. Should reinforce that the value comes from quality directories with editorial standards, not raw volume.",
"assertions": [
"Refuses the service",
"Cites 'don't pay for submission services' rule",
"Warns about low-DR spam directories",
"Warns about Google spam penalty risk",
"Recommends manual submission to quality directories"
],
"files": []
},
{
"id": 4,
"prompt": "Walk me through how to launch on Product Hunt next month. We've never done it before.",
"expected_output": "Should apply the Product Hunt Deep Dive playbook. Should map the 3-week prep timeline: Day -21 to -14 (warm up hunter account, upvote and comment on 3 launches/day), Day -14 (create Upcoming page), Day -10 (optional book a hunter — trade not cash), Day -7 (draft launch-day assets: 1270x760 gallery images, tagline, 260-char description, first comment), Day -3 (email list warm-up), Day -1 (final check). Should explain launch day: launch at 12:01 AM Pacific Time on Tuesday/Wednesday/Thursday only, first 2 hours are everything (need 50+ supporters), post the first comment yourself, reply to every comment in under 30 minutes, share to multiple channels. Should warn never ask for upvotes — ask for feedback. Should warn don't DM strangers — community flags this. Should explain post-launch: write a launch recap blog post with numbers + lessons, cross-post to Indie Hackers, only submit to Show HN if there's a technical angle. Should note 80% of failed launches fail from no warm audience or asking for upvotes.",
"assertions": [
"Maps 3-week timeline with specific day markers",
"Notes 12:01 AM Pacific Time launch",
"Restricts to Tue/Wed/Thu",
"Emphasizes first 2 hours / 50+ supporters",
"Warns never ask for upvotes",
"Recommends asking for feedback",
"Warns against DMing strangers",
"Includes post-launch recap and cross-posting"
],
"files": []
},
{
"id": 5,
"prompt": "We want to list on G2 but we only have 4 customers right now. Worth doing?",
"expected_output": "Should explain G2 and Capterra listings are worthless without reviews — 10 reviews is the magic threshold for Grid appearance. Should recommend NOT submitting yet, or claim the listing but plan a review drive in parallel. Should explain the 10-in-30 protocol: identify 20 users who completed a meaningful action, send each a personal email with direct review URL (reduces friction ~70%), offer a modest thank-you ($25 Amazon gift card is allowed by G2/TrustRadius), follow up once after 5 days, target 50% conversion. Should note the Users Love Us badge is free (20 reviews at 4.0+) but Grid/Momentum/Index/Award badges require a paid G2 plan ($2,999+/year as of Summer 2025) — and recommend NOT spending on paid G2 in year one. Should mention G2 Summer report cutoff ~April 28 and Fall ~July 28. Should suggest waiting until ~10 users are realistic before submitting.",
"assertions": [
"Explains 10-review threshold for Grid",
"Recommends NOT submitting yet OR claim + plan review drive",
"Lays out 10-in-30 protocol",
"Notes incentive ($25 gift card) is allowed",
"Mentions Users Love Us badge requirements",
"Warns against paying for G2 plan in year one",
"Mentions Summer/Fall report cutoffs"
],
"files": []
},
{
"id": 6,
"prompt": "We submitted to 50 directories last week. Now what?",
"expected_output": "Should warn against treating submissions as the strategy. Should reference 'What NOT to Do' rule 11: don't over-index on launch spike. Flywheel is templates + alternatives + reviews + ongoing content. Should recommend verifying the dofollow status of acquired backlinks (curl -sIL | grep -i rel=). Should pivot to ongoing distribution: destination pages strategy (alternative pages converting 5-15%, use-case/ICP pages, template gallery if applicable, 'best of' listicles you write yourself, integration pages), GEO tactics for AI citation (single H1, FAQ schema, comparison tables, get cited on Reddit/HN, claim Crunchbase/LinkedIn/Wikidata), community presence (Reddit 90/10 rule, LinkedIn 3-5 posts/week, Twitter build-in-public, Indie Hackers, Dev.to/Hashnode). Should remind to track weekly KPIs (DR, referring domains, indexed pages, organic clicks, signups from directory referrals) and investigate if numbers aren't moving rather than submitting more.",
"assertions": [
"Warns against over-indexing on launch spike",
"Recommends verifying dofollow status of backlinks",
"Pivots to destination pages strategy",
"Mentions GEO tactics",
"Includes ongoing community distribution",
"Recommends tracking weekly KPIs",
"Says investigate before submitting more"
],
"files": []
}
]
}
@@ -0,0 +1,477 @@
# Directory List — Full Reference
Canonical list of directories organized by tier. DR values are approximate and drift over time — verify via Ahrefs or Moz before building a plan around them.
**Column legend:**
- **DR** — Domain Rating (Ahrefs). Higher = more link equity passed.
- **Dofollow** — Whether the backlink passes SEO value. Nofollow listings still matter for referral traffic and brand signals.
- **Cost** — Free unless noted.
---
## Tier 1 — Flagship Launch Platforms
Submit only during launch week. These are time-sensitive with limited re-submission windows.
| Directory | DR | Dofollow | Cost | Notes |
|---|---|---|---|---|
| **Product Hunt** | 91 | Yes | Free | The anchor event. Requires 3-week warm-up. 2026 algorithm weights comment quality over upvotes. Launch Tue/Wed/Thu at 12:01 AM PT. |
| **Hacker News (Show HN)** | 91 | Nofollow | Free | Only if you have a genuine technical angle. Post title format: "Show HN: [Product] — [hook]". Moderator death penalty for hype. |
| **BetaList** | 64 | Yes | Free (paid expedite ~$99) | Best for pre-launch waitlist building. Submission → 24 week queue unless expedited. |
| **Launching Next** | ~30 | Yes | Free | Editorial curation — needs a compelling story. |
| **Fazier** | ~30 | Yes | Free | Daily ranking with much lower competition than PH. Achievable #1. |
| **Uneed** | ~40 | Yes | Free | Curated, smaller audience, quality backlink. |
| **Microlaunch** | ~30 | Yes | Free | Month-long visibility vs one-day spike. |
| **OpenHunts** | ~25 | Yes | Free | Indie-maker friendly, reports 14%+ conversion rates. |
| **DevHunt** | ~35 | Yes | Free | Dev-focused. Best fit for developer tools and technical products. |
| **PeerPush** | ~25 | Yes | Free | Similar to Fazier. Low competition. |
| **LaunchVault** | ~20 | Yes | Free | Anti-VC positioning. Good for bootstrapped narrative. |
| **What Launched Today** | ~20 | Yes | Free | Guaranteed visibility on launch day regardless of votes. |
| **Firsto** | ~25 | Yes | Free tier | Sustained discovery, not one-day spike. |
| **GetByte** | ~20 | Yes | Free | Lightweight listing + promotional support. |
| **Best of Web** | ~30 | Yes | Free | Easy fast submission, free dofollow. |
| **Tiny Launch** | ~20 | Yes | Free | Lightweight, fast approval. |
| **PitchWall** | ~25 | Yes | Free | Indie-hacker friendly. |
---
## Tier 2 — Startup / SaaS / Software Directories
Submit during launch week and continue rolling submissions thereafter.
| Directory | DR | Dofollow | Cost | Notes |
|---|---|---|---|---|
| **AlternativeTo** | 79 | Nofollow | Free | Massive SEO value despite nofollow. Submit as alternative to your top 4 competitors. |
| **SaaSHub** | 77 | Yes | Free | Ranks well for "[tool] alternatives" queries. High intent. |
| **G2** | 92 | Yes | Free listing | 10 reviews required for Grid appearance. Paid badges start at $2,999/yr. |
| **Capterra** | 93 | Yes | Free listing | Owned by G2 (acquired Feb 2026). Reviews drive everything. |
| **GetApp** | 78 | Yes | Free | Auto-syncs from Capterra in some cases. Owned by G2. |
| **SourceForge** | 92 | Yes | Free | Legacy but still high DR. Trivial to list. |
| **Slashdot** | ~88 | Yes | Free | Legacy but high DR. Company profile submission. |
| **Startup Stash** | ~50 | Yes | Free | Curated, organized by startup need. |
| **SideProjectors** | ~35 | Yes | Free | Discovery + marketplace. Community-driven. |
| **F6S** | 65 | Yes | Free | Startup platform used by accelerators. |
| **Stackshare** | ~60 | Yes | Free | Dev-centric. Show your tech stack. |
| **Resource.fyi** | ~40 | Yes | Free | Curated for designers/devs/marketers. |
| **Shipybara** | ~30 | Yes | Free | Shows which companies use your tool. |
| **TrustRadius** | 72 | Yes | Free | Smaller but respected B2B review platform. |
| **Crozdesk** | ~55 | Yes | Free | Feeds into Gartner ecosystem. |
| **Software Advice** | 88 | Yes | Free | Gartner property. Auto-syncs with Capterra in some categories. |
| **TheSaaSDirectory** | 88 | Yes | Free | SaaS-specific directory. Good categorization. |
| **Tech.co** | 80 | Yes | Free | Startup/SaaS directory + media. |
| **Taalk** | 80 | Yes | Free | Startup directory. |
| **Startup Fame** | 77 | Yes | Free | Startup showcase directory. |
| **Indie Hackers** | 76 | Yes | Free | Build-in-public community + product directory. |
| **Slant** | 75 | Yes | Free | "What is the best..." recommendation platform. |
| **Gust** | 75 | Yes | Free | Startup/investor platform. Profile with links. |
| **Inc42** | 75 | Yes | Free | Indian startup media + directory. |
| **Wefunder** | 76 | Yes | Free | Equity crowdfunding. Product profile with links. |
| **Startups.com** | 68 | Yes | Free | Startup community + resources. |
| **IndieHustles** | 66 | Yes | Free | Indie SaaS directory. |
| **SaaSWorthy** | 65 | Yes | Free | SaaS review/comparison site. |
| **ToolsFine** | 65 | Yes | Free | SaaS tool directory. |
| **Bizcommunity** | 65 | Yes | Free | Business news + directory. |
| **StartUs** | 62 | Yes | Free | Startup directory + insights. |
| **Today Launches** | 60 | Yes | Free | Daily launch directory. |
| **StartupBuffer** | 57 | Yes | Free | Startup promotion platform. |
| **Feedough** | 55 | Yes | Free | Startup resources + directory. |
| **Indie Hacker Tools** | 55 | Yes | Free | Tools for indie hackers. |
| **Open Launch** | 55 | Yes | Free | Product launch directory. |
| **New SaaSly** | 52 | Yes | Free | New SaaS product directory. |
| **Business Software** | 49 | Yes | Free | Business software directory. |
| **Promote Project** | 47 | Yes | Free | Project promotion directory. |
| **FiveTaco** | 47 | Yes | Free | SaaS tool directory. |
| **Cuspera** | 45 | Yes | Free | SaaS comparison platform. |
| **BetaBound** | 45 | Yes | Free | Beta testing community + directory. |
| **Makerthrive** | 45 | Yes | Free | Maker community + tools. |
| **StartupTracker** | 44 | Yes | Free | Startup tracking directory. |
| **BusinessHunt** | 43 | Yes | Free | Business product directory. |
| **Launched.io** | 40 | Yes | Free | Launch directory. |
| **ProfitHunt** | 40 | Yes | Free | Profitable startup directory. |
| **10words** | 40 | Yes | Free | SaaS directory (10-word descriptions). |
| **TrustMRR** | 40 | Yes | Free | MRR-verified startup directory. |
| **OpenClawDir** | 35 | Yes | Free | Open directory. |
| **Build Voyage** | 33 | Yes | Free | Startup builder directory. |
| **AlphaDigits** | 32 | Yes | Free | SaaS directory. |
---
## Tier 3 — AI Tool Directories
Relevant only for AI-native products. Submit during weeks 13.
### Tier 3A — Flagship AI directories
| Directory | DR | Monthly Traffic | Notes |
|---|---|---|---|
| **There's An AI For That (TAAFT)** | 76 | 2M+ | Largest AI directory. Task-based search. Worth the effort to list well. |
| **Futurepedia** | 70 | 1M+ | 5,000+ tools, 54 categories. Matt Wolfe YouTube (2M+ subs) drives traffic. |
| **Toolify.ai** | 71 | 500K+ | 26K+ tools, 450+ categories. Tracks traffic trends. |
| **Future Tools (futuretools.io)** | 69 | 400K+ | Curated by Matt Wolfe. Smaller but influential. |
| **AI Tools Neilpatel** | 91 | n/a | Highest DR free AI directory. |
| **Good AI Tools** | 66 | n/a | Curated, quality over quantity. |
| **NewTools.site** | 51 | n/a | Dofollow backlink for every approved submission. |
### Tier 3B — Mid-tier AI directories
| Directory | Est. DR | Notes |
|---|---|---|
| **aitools.inc** | ~66 | "10x your output" positioning. |
| **AIStage** | ~66 | Includes open source + news. |
| **AItrendytools** | ~69 | Comprehensive listing. |
| **Grabon AI Directory** | ~70 | High DR, broad audience. |
| **TopAI.tools** | ~60 | Task-based search similar to TAAFT. |
| **Supertools** | ~61 | Clean interface, good categorization. |
| **AI Tools Directory** (aitoolsdirectory.com) | ~55 | Curated; featured placement available. |
| **AI Tools Love** | ~25 | Comparison-focused. |
| **AIChief** | ~35 | Business-focused. |
| **LogicBalls** | ~40 | 3,500+ verified tools. |
| **SaasAITools** | ~30 | SaaS + AI crossover. |
| **PoweredByAI** | ~35 | Growing directory with newsletter reach. |
| **TheAISurf** | ~30 | Newer, actively promoting submissions. |
| **Aixyz** | ~30 | 1,500+ tools, smart filters. |
| **AI Pedia Hub** | ~40 | "Largest directory, updated daily." |
| **Dofollow.Tools** | ~30 | Explicitly free dofollow backlinks. |
| **AIBacklinkList** | ~25 | Aggregated list of 2500+ AI backlink opportunities. |
| **AI Scout** | ~25 | Emerging, less competition. |
| **AiMatchPro** | ~20 | Use-case search. |
| **GPTForge** | ~30 | Domain created 2025 — DR 88 from source list is implausible. Verify via Ahrefs. |
| **AI Tools Guide** | 77 | Curated AI tools directory. |
| **AIToolly** | 69 | AI tool discovery. |
| **All The AI Tools** | 66 | Comprehensive AI tool listing. |
| **Aiforme.wiki** | 66 | AI tool wiki/directory. |
| **Noxilo** | 66 | AI tools directory. |
| **AI Generation** | 55 | AI tools directory. |
| **Every AI** | 55 | AI tool aggregator. |
| **BAI.tools** | 53 | AI tools directory. |
| **The Rundown Tools** | 40 | AI newsletter's tool directory. |
| **AI NavHub** | 38 | AI navigation directory. |
| **WhatTheAI** | 35 | AI tools directory. |
| **ToolAI** | 31 | AI tools directory. |
| **LLM Relevance** | 30 | LLM-focused directory. |
---
## Tier 4 — AI Agent & MCP Server Registries
Relevant only if the product exposes agent capabilities or MCP servers. These are a real moat for AI-native tools — traditional SaaS products cannot list here.
| Directory | Category | Notes |
|---|---|---|
| **AI Agents List (aiagentslist.com)** | Agents | Hosts the 593+ MCP server directory. |
| **Glama.ai MCP servers** | MCP | 20K+ security-graded MCP servers. A/B/C/F grades matter — optimize for a good grade. |
| **APITracker MCP directory** | MCP | 110+ servers, 90 official integrations. |
| **Linux Foundation MCP Registry** | MCP | Canonical registry (PR-based submission, low volume but high signal). Anthropic donated MCP to LF in Dec 2025. |
| **AI Agent Store** | Agents | Compare agents, platforms, frameworks. |
| **AI Agents Base** | Agents | All-in-one directory. |
| **AI Agents Directory** | Agents | Specialized, updated daily. |
| **AI Agents Verse** | Agents | Curated directory. |
| **AgentHunter** | Agents | "Discover the best AI agents." |
| **Add AI Directory** | Agents | Catalogs agents + tools. |
| **AI Agents Live** | Agents | Discovery + sharing. |
| **AI Agents Marketplace** | Agents | Organized by 300+ human role equivalents. |
---
## Tier 5 — No-Code Directories
Relevant for no-code platforms and builder tools.
| Directory | Est. DR | Notes |
|---|---|---|
| **NoCodeFinder** | ~45 | Accepts submissions. |
| **No Code MBA Tools Directory** | ~55 | Categorized by project type. |
| **We Are No Code Tools Repository** | ~40 | Curated. |
| **NoCodeList** | ~30 | — |
| **NoCodeDevs** | ~25 | — |
| **NoCode.Tech** | ~35 | — |
| **MakerPad / Zapier** | ~62 | Now owned by Zapier. No-code tool directory. |
| **NoCodeFounders** | ~45 | No-code community + forum. |
---
## Tier 6 — "Best of" Listicles (Editorial Outreach)
Not directories per se — these are blog posts on high-DR domains that you get included in via cold outreach. Often more valuable than directories because they combine a dofollow backlink with editorial trust + in-market buyer traffic + AI citation weight.
**Search patterns to find opportunities:**
- `"best [category] tools" 2026`
- `"best [competitor] alternative"`
- `"top AI [category]"`
- `"[category] tools review"`
**Outreach template (short):**
> Hey [name], saw your post on [best X tools]. We launched [product] recently — thought it might be worth a mention. Happy to give you a free account + credits for readers. Here's a 60s demo: [link]. No worries if not a fit.
**Target:** 10 inclusions in 30 days. Each = dofollow backlink from DR 4070 + referral traffic + AI citation fuel.
---
## Tier 7 — Integration Marketplaces
Only relevant once the product has integrations. These are the highest-DR backlinks available — worth engineering effort just to land them.
| Directory | DR | Notes |
|---|---|---|
| **Zapier App Directory** | 91 | Requires working Zapier integration. |
| **HubSpot App Marketplace** | 93 | Requires HubSpot app. |
| **Slack App Directory** | 89 | Requires Slack integration. |
| **Airtable Marketplace** | 82 | Requires Airtable integration. |
| **Notion Integrations Gallery** | 88 | Requires Notion integration. |
| **Make (Integromat)** | ~70 | Requires Make module. |
| **Pipedream** | ~70 | Requires Pipedream action. |
---
## Tier 8 — Profile & Content Platforms
Create a profile or publish content on these high-DR platforms to earn a dofollow backlink. These are not traditional directories — they're content and identity platforms where your profile or published content links back to your site. Highest DR backlinks available without building integrations.
| Platform | DR | Category | Type | Notes |
|---|---|---|---|---|
| **WordPress.com** | 100 | Any | Blog | Create a free blog, link to main site in posts and profile. |
| **Blogger** | 100 | Any | Blog | Google property. Free blog with dofollow links. |
| **Tumblr** | 99 | Design | Blog | Highest DR blog platform. Project blog or microblog. |
| **GitHub** | 98 | Tech | Code host | Profile + repo README links. Every software product should have this. |
| **SoundCloud** | 96 | Music | Profile | Niche — relevant for audio/music products. |
| **Weebly** | 95 | Any | Blog | Free site builder with dofollow profile link. |
| **SlideShare** | 95 | Any | Content | Upload pitch decks, guides, presentations. |
| **Flickr** | 95 | Photography | Profile | Product screenshot galleries with profile link. |
| **GitLab** | 94 | Tech | Code host | Profile link. Mirror repos if open source. |
| **eBay Stores** | 94 | E-commerce | Profile | Niche — relevant for physical/digital goods. |
| **Etsy** | 93 | E-commerce | Profile | Niche — templates, digital downloads. |
| **Substack** | 93 | Tech | Newsletter | Publish product updates, thought leadership. High-intent readers. |
| **Bitbucket** | 93 | Tech | Code host | Profile link. Atlassian property. |
| **Scribd** | 93 | Any | Content | Upload whitepapers, guides, case studies. |
| **Disqus** | 93 | Professional | Profile | Profile with website link. Comment on industry blogs. |
| **Behance** | 93 | Design | Profile | Portfolio/project links. Best for design-adjacent products. |
| **Pastebin** | 93 | Tech | Code host | Code snippets with profile link. |
| **Patreon** | 93 | Creator | Profile | Creator page with product links. |
| **Imgur** | 93 | Any | Profile | Image hosting with profile link. |
| **Dun & Bradstreet** | 93 | B2B | Directory | Business credibility. Feeds AI training corpora. |
| **Ghost.org** | 92 | Any | Blog | Publish content with dofollow links. |
| **Evernote** | 92 | Any | Content | Public notebooks with links. |
| **Issuu** | 92 | Any | Content | Upload marketing PDFs, brochures, reports. |
| **CodePen** | 92 | Tech | Profile | Front-end demos and profile link. |
| **Kaggle** | 92 | AI | Profile | AI/data science community. Notebooks with links. |
| **Houzz** | 92 | Home | Profile | Niche — home/interior products. |
| **LiveJournal** | 91 | Any | Blog | Legacy but high DR. Blog with dofollow links. |
| **Bandcamp** | 91 | Music | Profile | Niche — audio products. |
| **Dev.to** | 90 | Tech | Blog | Technical articles with dofollow links. Cross-post with canonical URL. |
| **Gravatar** | 90 | Professional | Profile | Profile with website link. Quick setup. |
| **Replit** | 90 | Tech | Code host | Profile link. Interactive demos. |
| **CodeProject** | 90 | Tech | Blog | Technical articles for dev audience. |
| **Jimdo** | 89 | Any | Blog | Free site builder with profile link. |
| **Calameo** | 89 | Any | Content | Digital publishing platform. Upload PDFs. |
| **Buy Me a Coffee** | 88 | Creator | Profile | Creator page with product links. |
| **ArtStation** | 88 | Design | Profile | Portfolio for creative/design products. |
| **500px** | 88 | Photography | Profile | Product imagery with profile link. |
| **IndiaMART** | 87 | B2B | Profile | Indian B2B marketplace. Niche but high DR. |
| **Strikingly** | 87 | Any | Blog | Free one-page site with backlink. |
| **Hashnode** | 85 | Tech | Blog | Dev blogging. Custom domain support. Dofollow links. |
| **About.me** | 85 | Professional | Profile | One-page profile. Quick dofollow backlink. |
| **Mixcloud** | 85 | Music | Profile | Niche — audio/podcast products. |
| **4Shared** | 85 | Any | Content | File sharing with profile link. |
| **HubPages** | 84 | Any | Blog | Article publishing platform. |
| **AppSumo** | 84 | E-commerce | Marketplace | SaaS deals marketplace. Great for launch visibility + backlink. |
| **TeachersPayTeachers** | 84 | Education | Profile | Niche — education products. |
| **AuthorStream** | 70 | Any | Content | Presentation sharing. |
| **Model Mayhem** | 72 | Design | Profile | Niche — creative industry. |
| **Penzu** | 60 | Any | Blog | Online journal with profile link. |
| **Crevado** | 50 | Design | Profile | Portfolio platform. |
| **MyFolio** | 55 | Design | Profile | Portfolio platform. |
---
## Tier 9 — Local Business & General Directories
Relevant for products with a physical presence, local customer base, or business address. Also useful for any product wanting pure DR-building backlinks from established directories.
| Directory | DR | Category | Notes |
|---|---|---|---|
| **Manta** | 76 | Local business | US business directory. Free listing. |
| **ActiveSearchResults** | 74 | General | Search engine directory. |
| **Hotfrog** | 72 | Local business | International business directory. |
| **Spoke** | 70 | B2B | Business profile directory. |
| **Locanto** | 70 | General | Classifieds + business listings. International. |
| **MerchantCircle** | 68 | Local business | US small business directory. |
| **Just Landed** | 65 | Local business | International directory. |
| **Showmelocal** | 64 | Local business | US local search directory. |
| **Cylex** | 64 | Local business | International business directory. |
| **Brownbook** | 63 | Local business | Global business directory. |
| **Tupalo** | 62 | Local business | European business directory. |
| **WebWiki** | 60 | General | Website directory with reviews. |
| **iBegin** | 60 | Local business | US business directory. |
| **CitySquares** | 55 | Local business | US local business directory. |
| **eLocal** | 55 | Local business | US service provider directory. |
| **2FindLocal** | 53 | Local business | US local directory. |
| **Chamber of Commerce** | 50 | Local business | Business directory + resources. |
| **FindUsLocal** | 50 | Local business | Local search directory. |
| **ezlocal** | 50 | Local business | US local business listings. |
| **Yellow Pages Goes Green** | 49 | Local business | Eco-friendly business directory. |
| **Where To?** | 46 | Local business | Local discovery directory. |
---
## Tier 10 — Forums & Communities
Create a profile and participate in relevant communities. Most give dofollow profile links. Value comes from both the backlink and referral traffic from genuine participation. Follow the 90/10 rule: 90% helpful, 10% promotional.
| Forum | DR | Category | Notes |
|---|---|---|---|
| **Strava Clubs** | 90 | Fitness | Niche — fitness/health products only. |
| **Foursquare** | 90 | Hospitality | Business listing with dofollow link. |
| **SitePoint Forums** | 89 | Tech | Web dev community. Genuine participation required. |
| **Mumsnet Forums** | 85 | Family | Niche — family/parenting products. Large UK audience. |
| **Digital Point** | 82 | Marketing | SEO/marketing forum. |
| **WebmasterWorld** | 77 | Marketing | SEO/webmaster community. High editorial standards. |
| **BlackHatWorld** | 77 | Marketing | SEO/marketing forum. Despite the name, has legitimate discussions. |
| **GrowthHackers** | 76 | Marketing | Growth marketing community. Dofollow articles + profile. |
| **Warrior Forum** | 73 | Marketing | Internet marketing community. |
| **Apsense** | 72 | Marketing | Business networking + marketing forum. |
| **ActiveRain** | 70 | Real estate | Niche — real estate industry. |
| **Quibblo** | 55 | General | Quiz/poll community with profile links. |
---
## Tier 11 — Press Release, Article & Blog Directory Sites
Publish articles or press releases to earn dofollow backlinks. Best for product launches, funding announcements, major feature releases. Some accept any topic, others are PR-specific.
### Article & Blog Directories
| Site | DR | Type | Notes |
|---|---|---|---|
| **EzineArticles** | 80 | Article | Established article directory. Editorial review. |
| **Feedspot** | 80 | Blog directory | Blog discovery + RSS aggregation. Submit your blog. |
| **Alltop** | 73 | Blog directory | Guy Kawasaki's blog aggregator. |
| **ArticlesBase** | 70 | Article | Article publishing platform. |
| **Blogarama** | 64 | Blog directory | Blog directory with categories. |
| **Sooper Articles** | 60 | Article | Article submission site. |
| **OnToplist** | 60 | Blog directory | Blog ranking directory. |
| **BlogEngage** | 55 | Blog directory | Blog promotion community. |
| **BizSugar** | 55 | Business | Small business content sharing. |
| **TechPluto** | 50 | Marketing | Tech/marketing blog directory. |
### Press Release Distribution
| Site | DR | Notes |
|---|---|---|
| **PRLog** | 80 | Free press release distribution. Good reach. |
| **PR.com** | 77 | Free + paid press releases. Business directory too. |
| **OpenPR** | 72 | Free international press release distribution. |
| **1888 Press Release** | 69 | Free press release site. |
| **NewswireToday** | 65 | Free press release distribution. |
| **Online PR News** | 62 | Free press release distribution. |
| **PR Free** | 62 | Free press release site. |
### Marketing & General Directories
| Site | DR | Notes |
|---|---|---|
| **SubmissionWebDirectory** | 61 | General web directory. |
| **Site Promotion Directory** | 46 | Marketing-focused directory. |
| **Semfirms** | 45 | Marketing services directory. |
| **CabinetM** | 45 | Marketing technology directory. |
| **Cold Email Kit** | 44 | Email marketing directory. |
| **Directory LDM Studio** | 40 | General directory. |
| **Quality Internet Directory** | 39 | General web directory. |
| **ProofStories** | 32 | Marketing stories/case studies. |
---
## Tier 12 — Social Bookmarking & Curation
Bookmark or curate content with dofollow links. Lower effort than publishing full articles. Most useful for building diverse backlink profile.
| Platform | DR | Notes |
|---|---|---|
| **Scoop.it** | 91 | Content curation platform. Create topic pages with links. |
| **Diigo** | 85 | Social bookmarking + annotation. Profile + bookmark links. |
| **Pearltrees** | 84 | Visual content curation. Organize links into collections. |
| **BibSonomy** | 70 | Academic bookmarking. Best for research/data products. |
| **Folkd** | 64 | Social bookmarking. Tag and share links. |
---
## Tier 13 — Niche Vertical Directories
Industry-specific directories. Only submit if your product genuinely fits the vertical — forced listings get rejected and waste time.
### Legal
| Directory | DR | Notes |
|---|---|---|
| **Justia** | 85 | Legal services directory. |
| **Lawyers.com** | 82 | Legal directory. |
| **HG.org** | 75 | Legal resources directory. |
### Home & Construction
| Directory | DR | Notes |
|---|---|---|
| **Porch** | 80 | Home services marketplace. |
| **BuildZoom** | 73 | Construction/contractor directory. |
| **Tradify (FreeIndex)** | 55 | UK trades directory. |
| **iBuildNew** | 45 | Australian home building directory. |
### Hospitality & Food
| Directory | DR | Notes |
|---|---|---|
| **AllMenus** | 76 | Restaurant directory. |
### Design & Creative
| Directory | DR | Notes |
|---|---|---|
| **LandBook** | 72 | Web design inspiration gallery. Submit landing pages. |
| **Curated.design** | 52 | Design inspiration directory. |
| **Webdesign Inspiration** | 45 | Website design showcase. |
### Health & Fitness
| Directory | DR | Notes |
|---|---|---|
| **Wellness.com** | 60 | Health & wellness directory. |
| **YogaTrail** | 55 | Yoga/wellness directory. |
| **MassageTherapy (AMBP)** | 45 | Massage therapy directory. |
| **Athlinks** | 72 | Fitness/race results. Profile with links. |
| **Fit Pro Directory** | 40 | Fitness professional directory. |
### Real Estate
| Directory | DR | Notes |
|---|---|---|
| **Placester** | 60 | Real estate marketing directory. |
### B2B & International
| Directory | DR | Notes |
|---|---|---|
| **Sulekha** | 73 | Indian business directory. |
| **EU-Business** | 46 | European business directory. |
### Events
| Directory | DR | Notes |
|---|---|---|
| **Evensi Events** | 62 | Event discovery platform. |
### Education
| Directory | DR | Notes |
|---|---|---|
| *(TeachersPayTeachers listed in Tier 8 — Profile Platforms)* | | |
---
## Verification
After any submission goes live, verify the backlink exists and is dofollow. You can:
1. **Manual:** Open the listing, right-click your product link, "Inspect" → check for `rel="nofollow"` or `rel="ugc"`. If absent, the link is dofollow.
2. **curl:** `curl -sIL https://directory.com/your-listing | grep -i link`
3. **SEO tools:** Ahrefs Site Explorer → Backlinks → filter by this directory's domain.
**Re-verify quarterly.** Directories sometimes change all outbound links to nofollow without warning — if DR stops moving, check whether your biggest inbound links have silently flipped.
@@ -0,0 +1,232 @@
# Positioning Variations Library
Directory audiences respond to different framings. Never copy-paste the same description everywhere — AI engines penalize duplicate content, and each directory type rewards a different opener.
Use this library to generate per-tier variants. Swap `[product]`, `[category]`, `[competitors]`, `[use-case]`, and `[audience]` with the real values.
---
## Framework: Lead Sentence Varies by Tier
| Tier | Lead sentence pattern | Why |
|---|---|---|
| Startup / launch | "[Product] is the easiest way to [outcome] for [audience]." | Founders scan for outcome clarity. |
| SaaS directory | "[Product] is the [differentiator] alternative to [competitors]." | Catches "[competitor] alternative" search intent. |
| AI directory | "[Product] uses [AI capability] to [outcome]." | TAAFT/Futurepedia audiences explicitly want AI. |
| Agent / MCP | "[Product] is an MCP-native / agent-native [category]." | Niche but high-intent. Ruling-out competitors. |
| No-code | "[Product] lets you build [output] without code." | Audience values speed, not technical depth. |
| Dev tool | "[Product] is a [technical category] with [differentiator]." | Devs want substance upfront. |
| B2B review | "[Product] helps [audience] [measurable business outcome]." | Reviewers want ROI language. |
---
## Template: Startup / Launch Directories
**Target:** Product Hunt, BetaList, Fazier, Uneed, DevHunt, Microlaunch, OpenHunts, LaunchVault, Firsto, PitchWall
**Tagline (under 10 words):**
> The [differentiator] way to [outcome] for [audience].
**Short description (60 chars):**
> [Outcome-focused one-liner with product name]
**Long description (150 words):**
> [Product] is the easiest way to [outcome] for [audience]. Built for teams who [pain point], [product] removes [friction] by [how].
>
> Unlike [competitor category], [product] [key differentiator 1] and [key differentiator 2]. You can [action 1] in under [timeframe], [action 2] without [limitation], and [action 3] that would normally require [cost or technical skill].
>
> We built [product] because [founder origin story in one sentence]. It's now used by [audience examples] to [use case examples].
>
> Try it free at [url]. No credit card, no setup.
**Tags:** [product category], [audience type], [use case 1], [use case 2], [differentiator], [tech]
---
## Template: SaaS / Software Directories
**Target:** AlternativeTo, SaaSHub, G2, Capterra, GetApp, SourceForge, Slashdot, Startup Stash, F6S
**Tagline:**
> The [differentiator] alternative to [top competitors].
**Long description:**
> [Product] is a [differentiator] alternative to [competitor 1], [competitor 2], and [competitor 3] — built for [audience] who need [gap the competitors don't fill].
>
> Where [competitor 1] [limitation 1] and [competitor 2] [limitation 2], [product] [solves]. You get [feature 1], [feature 2], and [feature 3] in a single workspace, at [pricing relative to competitors].
>
> Key features:
> • [Feature 1] — [benefit]
> • [Feature 2] — [benefit]
> • [Feature 3] — [benefit]
> • [Feature 4] — [benefit]
> • [Integration 1], [Integration 2], [Integration 3] integrations
>
> Trusted by [audience examples]. Start free at [url].
**Tags:** [competitor] alternative, [category], [audience], [differentiator], [top 3 features]
---
## Template: AI Directories
**Target:** TAAFT, Futurepedia, Toolify, Future Tools, aitools.inc, AIStage, LogicBalls, SaasAITools
**Tagline:**
> AI-powered [category] for [audience].
**Long description:**
> [Product] is an AI-powered [category] that [core AI capability]. It uses [specific models / techniques] to [outcome] — so [audience] can [job to be done] in a fraction of the time.
>
> What makes it AI-first:
> • [AI feature 1] — [what it does] using [model/approach]
> • [AI feature 2] — [what it does]
> • [AI feature 3] — [what it does]
> • [AI feature 4] — [what it does]
>
> [Product] is built on [tech stack] and supports [models/providers]. Use cases: [use case 1], [use case 2], [use case 3], [use case 4].
>
> Free tier available. No API keys required to start.
**Tags:** AI [category], [AI capability 1], [AI capability 2], AI for [audience], [use case 1], [use case 2], [LLM provider], [differentiator]
---
## Template: Agent / MCP Registries
**Target:** Glama, APITracker, Linux Foundation MCP Registry, AI Agents List, AI Agent Store, AgentHunter
**Tagline:**
> MCP-native [category] for AI agents.
**Long description:**
> [Product] is an MCP-native [category] that lets AI agents [capability]. It exposes [MCP server capabilities] via the Model Context Protocol, so agents in Claude, ChatGPT, Cursor, and any MCP-compatible client can [actions].
>
> MCP capabilities:
> • [Tool 1] — [what the agent can do]
> • [Tool 2] — [what the agent can do]
> • [Tool 3] — [what the agent can do]
> • [Resource 1] — [context surfaced]
> • [Prompt 1] — [pre-built prompt]
>
> Authentication: [auth method]. Transports: stdio, HTTP, SSE. Security: [security posture].
>
> Installation: [one-line install command]. Docs: [docs URL].
**Tags:** MCP, MCP server, AI agent, agent [category], Claude integration, Model Context Protocol, [domain], [auth type]
---
## Template: No-Code Directories
**Target:** NoCodeFinder, No Code MBA Tools Directory, We Are No Code, NoCode.Tech
**Tagline:**
> Build [output] without code.
**Long description:**
> [Product] lets you build [output] without writing code. Drag, drop, or describe what you want and [product] handles the rest — [technical concept 1] and [technical concept 2] are automatic.
>
> What you can build:
> • [Example project 1] — built in [timeframe]
> • [Example project 2] — built in [timeframe]
> • [Example project 3] — built in [timeframe]
>
> No-code friendly features:
> • [Visual feature 1]
> • [Visual feature 2]
> • [AI-assisted feature]
> • [Pre-built templates]
>
> Start free. No credit card. Templates included.
**Tags:** no code, no-code [category], visual [tool], drag and drop, [output type], [audience type]
---
## Template: Dev / Technical Directories
**Target:** DevHunt, Stackshare, GitHub, Dev.to, Hacker News Show HN
**Tagline:**
> [Technical category] with [technical differentiator].
**Long description:**
> [Product] is a [technical category] built on [tech stack]. It solves [technical problem] by [technical approach].
>
> Architecture:
> • [Component 1] — [tech used]
> • [Component 2] — [tech used]
> • [Component 3] — [tech used]
>
> Why it's different: [technical insight or novel approach]. We chose [trade-off] because [reason].
>
> Open source: [yes/no/partial]. Self-hostable: [yes/no]. License: [license].
>
> API: [REST / GraphQL / MCP / gRPC]. SDKs: [languages]. Docs: [url].
**Tags:** [language], [framework], [category], open source, API, [tech stack component], [architecture approach]
---
## Template: B2B Review Platforms
**Target:** G2, Capterra, TrustRadius, GetApp, Gartner Digital Markets, Crozdesk
**Tagline:**
> [Business outcome] for [audience].
**Long description:**
> [Product] helps [audience] [achieve measurable business outcome]. Teams use it to [use case 1], [use case 2], and [use case 3] — reducing [metric] by [percentage] and increasing [metric] by [percentage].
>
> Key benefits:
> • [Business benefit 1] with [how measured]
> • [Business benefit 2] with [how measured]
> • [Business benefit 3] with [how measured]
>
> Integrations: [enterprise integrations — HubSpot, Salesforce, Slack, etc.]
>
> Security: [SOC 2 / GDPR / compliance posture]. Support: [support tier]. Pricing: [pricing range].
>
> Trusted by [customer logos / company size]. Case studies at [url].
**Tags:** [business use case], [vertical], [audience role], [compliance], enterprise [category], [integration 1]
---
## Category Tag Library
Pull 58 tags per submission from the relevant sections. Never repeat the exact same tag set across two directories in the same tier.
### Universal
[category], [audience], [differentiator], [use case], AI, no-code, SaaS, [tech stack]
### Industry
B2B, B2C, DTC, ecommerce, fintech, edtech, healthtech, martech, devtools, productivity, creator tools, agency tools
### Job-to-be-done
lead generation, lead qualification, customer onboarding, product recommendation, sales enablement, marketing automation, survey, assessment, calculator, quiz, intake form
### AI-specific
AI agent, LLM, generative AI, conversational AI, RAG, MCP, agent framework, AI form, AI quiz, AI assistant, AI automation
### Technical
open source, self-hosted, API-first, webhook, Zapier, no-code, low-code, embeddable, white-label, multi-tenant, SSO, SAML
---
## Do / Don't Quick Reference
**DO:**
- Vary the opening sentence across tiers
- Use real numbers and specific differentiators
- Match tone to audience (technical for devs, business for G2, excited for PH)
- Include a founder/origin angle in startup directories
- Lead with the AI-first angle in AI directories
**DON'T:**
- Copy-paste the same 150-word description everywhere
- Use vague claims ("blazing fast", "game-changing")
- Mention every feature — pick 35 per tier and rotate them
- Lie about competitor features (AI engines cross-reference and de-rank)
- Skip the tag list — it's how moderators route you to the right category
@@ -0,0 +1,266 @@
Directory,Tier,URL,Category,DR,Dofollow,Submission Date,Status,Live URL,Backlink Verified,Positioning Variant Used,Tags Used,Account Email,Notes
Product Hunt,1,https://producthunt.com/posts/new,Launch,91,Yes,,Draft,,,Startup,,,
Hacker News (Show HN),1,https://news.ycombinator.com/submit,Launch,91,No,,Draft,,,Dev,,,
BetaList,1,https://betalist.com/submit,Launch,64,Yes,,Draft,,,Startup,,,
Fazier,1,https://fazier.com/submit,Launch,30,Yes,,Draft,,,Startup,,,
DevHunt,1,https://devhunt.org/submit,Launch,35,Yes,,Draft,,,Dev,,,
Uneed,1,https://uneed.best/submit-a-tool,Launch,40,Yes,,Draft,,,Startup,,,
Microlaunch,1,https://microlaunch.net/submit,Launch,30,Yes,,Draft,,,Startup,,,
OpenHunts,1,https://openhunts.com/submit,Launch,25,Yes,,Draft,,,Startup,,,
LaunchVault,1,https://launchvault.com/submit,Launch,20,Yes,,Draft,,,Startup,,,
What Launched Today,1,https://whatlaunchedtoday.com,Launch,20,Yes,,Draft,,,Startup,,,
Launching Next,1,https://launchingnext.com/submit,Launch,30,Yes,,Draft,,,Startup,,,
PeerPush,1,https://peerpush.net/submit,Launch,25,Yes,,Draft,,,Startup,,,
Firsto,1,https://firsto.co/submit,Launch,25,Yes,,Draft,,,Startup,,,
GetByte,1,https://getbyte.co/submit,Launch,20,Yes,,Draft,,,Startup,,,
Best of Web,1,https://bestofweb.io/submit,Launch,30,Yes,,Draft,,,Startup,,,
Tiny Launch,1,https://tinylaunch.com/submit,Launch,20,Yes,,Draft,,,Startup,,,
PitchWall,1,https://pitchwall.co/submit,Launch,25,Yes,,Draft,,,Startup,,,
AlternativeTo,2,https://alternativeto.net/software/_/add/,SaaS,79,No,,Draft,,,SaaS,,,
SaaSHub,2,https://saashub.com/submit,SaaS,77,Yes,,Draft,,,SaaS,,,
G2,2,https://my.g2.com/sellers/welcome,SaaS,92,Yes,,Draft,,,B2B review,,,
Capterra,2,https://www.capterra.com/vendors,SaaS,93,Yes,,Draft,,,B2B review,,,
GetApp,2,https://www.getapp.com/vendors,SaaS,78,Yes,,Draft,,,B2B review,,,
SourceForge,2,https://sourceforge.net/user/register,SaaS,92,Yes,,Draft,,,SaaS,,,
Slashdot,2,https://slashdot.org/submission,SaaS,88,Yes,,Draft,,,SaaS,,,
Startup Stash,2,https://startupstash.com/submit,SaaS,50,Yes,,Draft,,,Startup,,,
SideProjectors,2,https://www.sideprojectors.com/project/new,SaaS,35,Yes,,Draft,,,Startup,,,
F6S,2,https://www.f6s.com/company/create,SaaS,65,Yes,,Draft,,,Startup,,,
Stackshare,2,https://stackshare.io/new-product,SaaS,60,Yes,,Draft,,,Dev,,,
TrustRadius,2,https://www.trustradius.com/vendors,SaaS,72,Yes,,Draft,,,B2B review,,,
Crozdesk,2,https://crozdesk.com/vendors,SaaS,55,Yes,,Draft,,,SaaS,,,
There's An AI For That,3,https://theresanaiforthat.com/submit,AI,76,Yes,,Draft,,,AI,,,
Futurepedia,3,https://www.futurepedia.io/submit-tool,AI,70,Yes,,Draft,,,AI,,,
Toolify.ai,3,https://www.toolify.ai/submit,AI,71,Yes,,Draft,,,AI,,,
Future Tools,3,https://www.futuretools.io/submit-a-tool,AI,69,Yes,,Draft,,,AI,,,
AI Tools Neilpatel,3,https://neilpatel.com/ai-tools,AI,91,Yes,,Draft,,,AI,,,
Good AI Tools,3,https://goodaitools.com/submit,AI,66,Yes,,Draft,,,AI,,,
NewTools.site,3,https://newtools.site/submit,AI,51,Yes,,Draft,,,AI,,,
aitools.inc,3,https://aitools.inc/submit,AI,66,Yes,,Draft,,,AI,,,
AIStage,3,https://aistage.net/submit,AI,66,Yes,,Draft,,,AI,,,
AItrendytools,3,https://www.aitrendytools.com/submit,AI,69,Yes,,Draft,,,AI,,,
Grabon AI Directory,3,https://www.grabon.in/indulge/ai-tools/submit,AI,70,Yes,,Draft,,,AI,,,
TopAI.tools,3,https://topai.tools/submit,AI,60,Yes,,Draft,,,AI,,,
Supertools,3,https://supertools.therundown.ai/submit,AI,61,Yes,,Draft,,,AI,,,
AI Tools Directory,3,https://aitoolsdirectory.com/submit,AI,55,Yes,,Draft,,,AI,,,
LogicBalls,3,https://logicballs.com/submit,AI,40,Yes,,Draft,,,AI,,,
SaasAITools,3,https://saasaitools.com/submit,AI,30,Yes,,Draft,,,AI,,,
PoweredByAI,3,https://poweredbyai.app/submit,AI,35,Yes,,Draft,,,AI,,,
TheAISurf,3,https://theaisurf.com/submit,AI,30,Yes,,Draft,,,AI,,,
Aixyz,3,https://ai.xyz/submit,AI,30,Yes,,Draft,,,AI,,,
AI Pedia Hub,3,https://aipediahub.com/submit,AI,40,Yes,,Draft,,,AI,,,
Dofollow.Tools,3,https://dofollow.tools/submit,AI,30,Yes,,Draft,,,AI,,,
AI Scout,3,https://aiscout.net/submit,AI,25,Yes,,Draft,,,AI,,,
AiMatchPro,3,https://aimatchpro.ai/submit,AI,20,Yes,,Draft,,,AI,,,
AIChief,3,https://aichief.com/submit,AI,35,Yes,,Draft,,,AI,,,
AI Tools Love,3,https://aitools.love/submit,AI,25,Yes,,Draft,,,AI,,,
AI Agents List,4,https://aiagentslist.com/submit,Agent,,Yes,,Draft,,,Agent,,,
Glama.ai MCP,4,https://glama.ai/mcp/servers,MCP,,Yes,,Draft,,,MCP,,,
APITracker MCP,4,https://apitracker.io/mcp-servers,MCP,,Yes,,Draft,,,MCP,,,
Linux Foundation MCP Registry,4,https://github.com/modelcontextprotocol/registry,MCP,,Yes,,Draft,,,MCP,,,
AI Agent Store,4,https://aiagentstore.ai/submit,Agent,,Yes,,Draft,,,Agent,,,
AI Agents Base,4,https://aiagentsbase.com/submit,Agent,,Yes,,Draft,,,Agent,,,
AI Agents Directory,4,https://aiagentsdirectory.com/submit,Agent,,Yes,,Draft,,,Agent,,,
AgentHunter,4,https://agenthunter.com/submit,Agent,,Yes,,Draft,,,Agent,,,
AI Agents Live,4,https://aiagents.live/submit,Agent,,Yes,,Draft,,,Agent,,,
AI Agents Marketplace,4,https://aiagentsmarketplace.com/submit,Agent,,Yes,,Draft,,,Agent,,,
NoCodeFinder,5,https://www.nocodefinder.com/submit,No-Code,45,Yes,,Draft,,,No-code,,,
No Code MBA,5,https://www.nocode.mba/tools/submit,No-Code,55,Yes,,Draft,,,No-code,,,
We Are No Code,5,https://www.wearenocode.com/submit,No-Code,40,Yes,,Draft,,,No-code,,,
NoCodeList,5,https://nocodelist.co/submit,No-Code,30,Yes,,Draft,,,No-code,,,
NoCodeDevs,5,https://www.nocodedevs.com/submit,No-Code,25,Yes,,Draft,,,No-code,,,
NoCode.Tech,5,https://www.nocode.tech/submit,No-Code,35,Yes,,Draft,,,No-code,,,
Zapier App Directory,7,https://zapier.com/developer,Integration,91,Yes,,Draft,,,Integration,,,
HubSpot App Marketplace,7,https://ecosystem.hubspot.com/marketplace,Integration,93,Yes,,Draft,,,Integration,,,
Slack App Directory,7,https://api.slack.com/apps,Integration,89,Yes,,Draft,,,Integration,,,
Airtable Marketplace,7,https://airtable.com/marketplace,Integration,82,Yes,,Draft,,,Integration,,,
Notion Integrations,7,https://www.notion.so/integrations,Integration,88,Yes,,Draft,,,Integration,,,
Make (Integromat),7,https://www.make.com/en/partners,Integration,70,Yes,,Draft,,,Integration,,,
Pipedream,7,https://pipedream.com/docs/components,Integration,70,Yes,,Draft,,,Integration,,,
Software Advice,2,https://www.softwareadvice.com/vendors,SaaS,88,Yes,,Draft,,,B2B review,,,
TheSaaSDirectory,2,https://thesaasdirectory.com,SaaS,88,Yes,,Draft,,,SaaS,,,
Tech.co,2,https://tech.co,SaaS,80,Yes,,Draft,,,SaaS,,,
Taalk,2,https://taalk.com,Startup,80,Yes,,Draft,,,Startup,,,
Startup Fame,2,https://startupfa.me,Startup,77,Yes,,Draft,,,Startup,,,
Indie Hackers,2,https://www.indiehackers.com,SaaS,76,Yes,,Draft,,,Startup,,,
Slant,2,https://www.slant.co,SaaS,75,Yes,,Draft,,,SaaS,,,
Gust,2,https://gust.com,Startup,75,Yes,,Draft,,,Startup,,,
Inc42,2,https://inc42.com,Startup,75,Yes,,Draft,,,Startup,,,
Wefunder,2,https://wefunder.com,Startup,76,Yes,,Draft,,,Startup,,,
Startups.com,2,https://www.startups.com,Startup,68,Yes,,Draft,,,Startup,,,
IndieHustles,2,https://www.indiehustles.com,SaaS,66,Yes,,Draft,,,SaaS,,,
SaaSWorthy,2,https://www.saasworthy.com,SaaS,65,Yes,,Draft,,,SaaS,,,
ToolsFine,2,https://toolsfine.com,SaaS,65,Yes,,Draft,,,SaaS,,,
Bizcommunity,2,https://www.bizcommunity.com,B2B,65,Yes,,Draft,,,B2B,,,
StartUs,2,https://startus.cc,Startup,62,Yes,,Draft,,,Startup,,,
Today Launches,2,https://todaylaunches.com,Startup,60,Yes,,Draft,,,Startup,,,
StartupBuffer,2,https://startupbuffer.com,Startup,57,Yes,,Draft,,,Startup,,,
Feedough,2,https://www.feedough.com,Startup,55,Yes,,Draft,,,Startup,,,
Indie Hacker Tools,2,https://www.indiehacker.tools,Startup,55,Yes,,Draft,,,Startup,,,
Open Launch,2,https://open-launch.com,Startup,55,Yes,,Draft,,,Startup,,,
New SaaSly,2,https://newsaasly.com,SaaS,52,Yes,,Draft,,,SaaS,,,
Business Software,2,https://www.business-software.com,SaaS,49,Yes,,Draft,,,SaaS,,,
Promote Project,2,https://www.promoteproject.com,Startup,47,Yes,,Draft,,,Startup,,,
FiveTaco,2,https://fivetaco.com,SaaS,47,Yes,,Draft,,,SaaS,,,
Cuspera,2,https://www.cuspera.com,SaaS,45,Yes,,Draft,,,SaaS,,,
BetaBound,2,https://betabound.com,Startup,45,Yes,,Draft,,,Startup,,,
Makerthrive,2,https://makerthrive.com,Startup,45,Yes,,Draft,,,Startup,,,
StartupTracker,2,https://startuptracker.io,Startup,44,Yes,,Draft,,,Startup,,,
BusinessHunt,2,https://businesshunt.co,SaaS,43,Yes,,Draft,,,SaaS,,,
Launched.io,2,https://launched.io,Startup,40,Yes,,Draft,,,Startup,,,
ProfitHunt,2,https://profithunt.co,Startup,40,Yes,,Draft,,,Startup,,,
10words,2,https://10words.io,SaaS,40,Yes,,Draft,,,SaaS,,,
TrustMRR,2,https://trustmrr.com,Startup,40,Yes,,Draft,,,Startup,,,
OpenClawDir,2,https://openclawdir.com,Tech,35,Yes,,Draft,,,Dev,,,
Build Voyage,2,https://buildvoyage.com,Startup,33,Yes,,Draft,,,Startup,,,
AlphaDigits,2,https://alphadigits.com,SaaS,32,Yes,,Draft,,,SaaS,,,
GPTForge,3,https://gptforge.net,AI,30,Yes,,Draft,,,AI,,,Domain created 2025 — DR 88 from source list is implausible
AI Tools Guide,3,https://aitoolsguide.com,AI,77,Yes,,Draft,,,AI,,,
AIToolly,3,https://aitoolly.com,AI,69,Yes,,Draft,,,AI,,,
All The AI Tools,3,https://alltheaitools.com,AI,66,Yes,,Draft,,,AI,,,
Aiforme.wiki,3,https://aiforme.wiki,AI,66,Yes,,Draft,,,AI,,,
Noxilo,3,https://noxilo.com,AI,66,Yes,,Draft,,,AI,,,
AI Generation,3,https://www.theaigeneration.com,AI,55,Yes,,Draft,,,AI,,,
Every AI,3,https://every-ai.com,AI,55,Yes,,Draft,,,AI,,,
BAI.tools,3,https://bai.tools,AI,53,Yes,,Draft,,,AI,,,
The Rundown Tools,3,https://www.rundown.ai/tools,AI,40,Yes,,Draft,,,AI,,,
AI NavHub,3,https://ainavhub.com,AI,38,Yes,,Draft,,,AI,,,
WhatTheAI,3,https://whattheai.tech,AI,35,Yes,,Draft,,,AI,,,
ToolAI,3,https://toolai.io,AI,31,Yes,,Draft,,,AI,,,
LLM Relevance,3,https://www.llmrelevance.com,AI,30,Yes,,Draft,,,AI,,,
MakerPad / Zapier,5,https://www.makerpad.co,No-Code,62,Yes,,Draft,,,No-code,,,
NoCodeFounders,5,https://www.nocodefounders.com,No-Code,45,Yes,,Draft,,,No-code,,,
WordPress.com,8,https://wordpress.com,Blog,100,Yes,,Draft,,,Profile,,,
Blogger,8,https://www.blogger.com,Blog,100,Yes,,Draft,,,Profile,,,
Tumblr,8,https://www.tumblr.com,Blog,99,Yes,,Draft,,,Profile,,,
GitHub,8,https://github.com,Tech,98,Yes,,Draft,,,Profile,,,
SoundCloud,8,https://soundcloud.com,Music,96,Yes,,Draft,,,Profile,,,
Weebly,8,https://www.weebly.com,Blog,95,Yes,,Draft,,,Profile,,,
SlideShare,8,https://www.slideshare.net,Content,95,Yes,,Draft,,,Profile,,,
Flickr,8,https://www.flickr.com,Photography,95,Yes,,Draft,,,Profile,,,
GitLab,8,https://gitlab.com,Tech,94,Yes,,Draft,,,Profile,,,
eBay Stores,8,https://www.ebay.com,E-commerce,94,Yes,,Draft,,,Profile,,,
Etsy,8,https://www.etsy.com,E-commerce,93,Yes,,Draft,,,Profile,,,
Substack,8,https://substack.com,Newsletter,93,Yes,,Draft,,,Profile,,,
Bitbucket,8,https://bitbucket.org,Tech,93,Yes,,Draft,,,Profile,,,
Scribd,8,https://www.scribd.com,Content,93,Yes,,Draft,,,Profile,,,
Disqus,8,https://disqus.com,Professional,93,Yes,,Draft,,,Profile,,,
Behance,8,https://www.behance.net,Design,93,Yes,,Draft,,,Profile,,,
Pastebin,8,https://pastebin.com,Tech,93,Yes,,Draft,,,Profile,,,
Patreon,8,https://www.patreon.com,Creator,93,Yes,,Draft,,,Profile,,,
Imgur,8,https://imgur.com,Content,93,Yes,,Draft,,,Profile,,,
Dun & Bradstreet,8,https://www.dnb.com,B2B,93,Yes,,Draft,,,Profile,,,
Ghost.org,8,https://ghost.org,Blog,92,Yes,,Draft,,,Profile,,,
Evernote,8,https://evernote.com,Content,92,Yes,,Draft,,,Profile,,,
Issuu,8,https://issuu.com,Content,92,Yes,,Draft,,,Profile,,,
CodePen,8,https://codepen.io,Tech,92,Yes,,Draft,,,Profile,,,
Kaggle,8,https://www.kaggle.com,AI,92,Yes,,Draft,,,Profile,,,
Houzz,8,https://www.houzz.com,Home,92,Yes,,Draft,,,Profile,,,
LiveJournal,8,https://www.livejournal.com,Blog,91,Yes,,Draft,,,Profile,,,
Bandcamp,8,https://bandcamp.com,Music,91,Yes,,Draft,,,Profile,,,
Dev.to,8,https://dev.to,Tech,90,Yes,,Draft,,,Profile,,,
Gravatar,8,https://gravatar.com,Professional,90,Yes,,Draft,,,Profile,,,
Replit,8,https://replit.com,Tech,90,Yes,,Draft,,,Profile,,,
CodeProject,8,https://www.codeproject.com,Tech,90,Yes,,Draft,,,Profile,,,
Jimdo,8,https://www.jimdo.com,Blog,89,Yes,,Draft,,,Profile,,,
Calameo,8,https://www.calameo.com,Content,89,Yes,,Draft,,,Profile,,,
Buy Me a Coffee,8,https://www.buymeacoffee.com,Creator,88,Yes,,Draft,,,Profile,,,
ArtStation,8,https://www.artstation.com,Design,88,Yes,,Draft,,,Profile,,,
500px,8,https://500px.com,Photography,88,Yes,,Draft,,,Profile,,,
AppSumo,8,https://appsumo.com,E-commerce,84,Yes,,Draft,,,Profile,,,
IndiaMART,8,https://www.indiamart.com,B2B,87,Yes,,Draft,,,Profile,,,
Strikingly,8,https://www.strikingly.com,Blog,87,Yes,,Draft,,,Profile,,,
Hashnode,8,https://hashnode.com,Tech,85,Yes,,Draft,,,Profile,,,
About.me,8,https://about.me,Professional,85,Yes,,Draft,,,Profile,,,
Mixcloud,8,https://www.mixcloud.com,Music,85,Yes,,Draft,,,Profile,,,
4Shared,8,https://www.4shared.com,Content,85,Yes,,Draft,,,Profile,,,
HubPages,8,https://hubpages.com,Blog,84,Yes,,Draft,,,Profile,,,
TeachersPayTeachers,8,https://www.teacherspayteachers.com,Education,84,Yes,,Draft,,,Profile,,,
AuthorStream,8,https://www.authorstream.com,Content,70,Yes,,Draft,,,Profile,,,
Model Mayhem,8,https://www.modelmayhem.com,Design,72,Yes,,Draft,,,Profile,,,
Penzu,8,https://penzu.com,Blog,60,Yes,,Draft,,,Profile,,,
Crevado,8,https://crevado.com,Design,50,Yes,,Draft,,,Profile,,,
MyFolio,8,https://myfolio.com,Design,55,Yes,,Draft,,,Profile,,,
Manta,9,https://www.manta.com,Local business,76,Yes,,Draft,,,Local,,,
ActiveSearchResults,9,https://www.activesearchresults.com,Local business,74,Yes,,Draft,,,Local,,,
Hotfrog,9,https://www.hotfrog.com,Local business,72,Yes,,Draft,,,Local,,,
Spoke,9,https://www.spoke.com,Local business,70,Yes,,Draft,,,Local,,,
Locanto,9,https://www.locanto.com,General,70,Yes,,Draft,,,Local,,,
MerchantCircle,9,https://www.merchantcircle.com,Local business,68,Yes,,Draft,,,Local,,,
Just Landed,9,https://www.justlanded.com,Local business,65,Yes,,Draft,,,Local,,,
Showmelocal,9,https://www.showmelocal.com,Local business,64,Yes,,Draft,,,Local,,,
Cylex,9,https://www.cylex.us.com,Local business,64,Yes,,Draft,,,Local,,,
Brownbook,9,https://www.brownbook.net,Local business,63,Yes,,Draft,,,Local,,,
Tupalo,9,https://tupalo.com,Local business,62,Yes,,Draft,,,Local,,,
WebWiki,9,https://www.webwiki.com,Local business,60,Yes,,Draft,,,Local,,,
iBegin,9,https://www.ibegin.com,Local business,60,Yes,,Draft,,,Local,,,
CitySquares,9,https://citysquares.com,Local business,55,Yes,,Draft,,,Local,,,
eLocal,9,https://elocal.com,Local business,55,Yes,,Draft,,,Local,,,
2FindLocal,9,https://www.2findlocal.com,Local business,53,Yes,,Draft,,,Local,,,
Chamber of Commerce,9,https://www.chamberofcommerce.com,Local business,50,Yes,,Draft,,,Local,,,
FindUsLocal,9,https://www.finduslocal.com,Local business,50,Yes,,Draft,,,Local,,,
ezlocal,9,https://www.ezlocal.com,Local business,50,Yes,,Draft,,,Local,,,
Yellow Pages Goes Green,9,https://www.yellowpagesgoesgreen.org,Local business,49,Yes,,Draft,,,Local,,,
Where To?,9,https://www.where2go.com,Local business,46,Yes,,Draft,,,Local,,,
SitePoint Forums,10,https://www.sitepoint.com/community,Tech,89,Yes,,Draft,,,Forum,,,
Mumsnet Forums,10,https://www.mumsnet.com/Talk,Family,85,Yes,,Draft,,,Forum,,,
Digital Point,10,https://forums.digitalpoint.com,Marketing,82,Yes,,Draft,,,Forum,,,
WebmasterWorld,10,https://www.webmasterworld.com,Marketing,77,Yes,,Draft,,,Forum,,,
BlackHatWorld,10,https://www.blackhatworld.com,Marketing,77,Yes,,Draft,,,Forum,,,
GrowthHackers,10,https://growthhackers.com,Marketing,76,Yes,,Draft,,,Forum,,,
Warrior Forum,10,https://www.warriorforum.com,Marketing,73,Yes,,Draft,,,Forum,,,
Apsense,10,https://www.apsense.com,Marketing,72,Yes,,Draft,,,Forum,,,
Strava Clubs,10,https://www.strava.com,Fitness,90,Yes,,Draft,,,Forum,,,
Foursquare,10,https://business.foursquare.com,Hospitality,90,Yes,,Draft,,,Forum,,,
ActiveRain,10,https://activerain.com,Real estate,70,Yes,,Draft,,,Forum,,,
Quibblo,10,https://www.quibblo.com,General,55,Yes,,Draft,,,Forum,,,
EzineArticles,11,https://ezinearticles.com,Article,80,Yes,,Draft,,,Article,,,
PRLog,11,https://www.prlog.org,Press release,80,Yes,,Draft,,,PR,,,
Feedspot,11,https://www.feedspot.com,Blog directory,80,Yes,,Draft,,,Article,,,
PR.com,11,https://www.pr.com,Press release,77,Yes,,Draft,,,PR,,,
Alltop,11,https://alltop.com,Blog directory,73,Yes,,Draft,,,Article,,,
OpenPR,11,https://www.openpr.com,Press release,72,Yes,,Draft,,,PR,,,
ArticlesBase,11,https://www.articlesbase.com,Article,70,Yes,,Draft,,,Article,,,
1888 Press Release,11,https://www.1888pressrelease.com,Press release,69,Yes,,Draft,,,PR,,,
NewswireToday,11,https://www.newswiretoday.com,Press release,65,Yes,,Draft,,,PR,,,
Blogarama,11,https://www.blogarama.com,Blog directory,64,Yes,,Draft,,,Article,,,
Online PR News,11,https://www.onlineprnews.com,Press release,62,Yes,,Draft,,,PR,,,
PR Free,11,https://www.pr-free.com,Press release,62,Yes,,Draft,,,PR,,,
SubmissionWebDirectory,11,https://www.submissionwebdirectory.com,General,61,Yes,,Draft,,,Article,,,
Sooper Articles,11,https://www.sooperarticles.com,Article,60,Yes,,Draft,,,Article,,,
OnToplist,11,https://www.ontoplist.com,Blog directory,60,Yes,,Draft,,,Article,,,
BlogEngage,11,https://www.blogengage.com,Blog directory,55,Yes,,Draft,,,Article,,,
BizSugar,11,https://www.bizsugar.com,Business,55,Yes,,Draft,,,Article,,,
TechPluto,11,https://www.techpluto.com,Marketing,50,Yes,,Draft,,,Article,,,
Semfirms,11,https://www.semfirms.com,Marketing,45,Yes,,Draft,,,Article,,,
CabinetM,11,https://www.cabinetm.com,Marketing,45,Yes,,Draft,,,Article,,,
Cold Email Kit,11,https://coldemailkit.com,Marketing,44,Yes,,Draft,,,Article,,,
Directory LDM Studio,11,https://www.directory.ldmstudio.com,General,40,Yes,,Draft,,,Article,,,
Quality Internet Directory,11,https://www.qualityinternetdirectory.com,General,39,Yes,,Draft,,,Article,,,
Site Promotion Directory,11,https://www.sitepromotiondirectory.com,Marketing,46,Yes,,Draft,,,Article,,,
ProofStories,11,https://proofstories.io,Marketing,32,Yes,,Draft,,,Article,,,
Scoop.it,12,https://www.scoop.it,Curation,91,Yes,,Draft,,,Bookmarking,,,
Diigo,12,https://www.diigo.com,Bookmarking,85,Yes,,Draft,,,Bookmarking,,,
Pearltrees,12,https://www.pearltrees.com,Bookmarking,84,Yes,,Draft,,,Bookmarking,,,
BibSonomy,12,https://www.bibsonomy.org,Research,70,Yes,,Draft,,,Bookmarking,,,
Folkd,12,https://www.folkd.com,Bookmarking,64,Yes,,Draft,,,Bookmarking,,,
Justia,13,https://www.justia.com,Legal,85,Yes,,Draft,,,Niche,,,
Lawyers.com,13,https://www.lawyers.com,Legal,82,Yes,,Draft,,,Niche,,,
Porch,13,https://porch.com,Home,80,Yes,,Draft,,,Niche,,,
AllMenus,13,https://www.allmenus.com,Hospitality,76,Yes,,Draft,,,Niche,,,
HG.org,13,https://www.hg.org,Legal,75,Yes,,Draft,,,Niche,,,
Sulekha,13,https://www.sulekha.com,B2B,73,Yes,,Draft,,,Niche,,,
BuildZoom,13,https://www.buildzoom.com,Home,73,Yes,,Draft,,,Niche,,,
LandBook,13,https://land-book.com,Design,72,Yes,,Draft,,,Niche,,,
Athlinks,13,https://www.athlinks.com,Fitness,72,Yes,,Draft,,,Niche,,,
Evensi Events,13,https://evensi.com,Events,62,Yes,,Draft,,,Niche,,,
Wellness.com,13,https://www.wellness.com,Health,60,Yes,,Draft,,,Niche,,,
Placester,13,https://placester.com,Real estate,60,Yes,,Draft,,,Niche,,,
YogaTrail,13,https://www.yogatrail.com,Health,55,Yes,,Draft,,,Niche,,,
Tradify (FreeIndex),13,https://www.freeindex.co.uk,Home,55,Yes,,Draft,,,Niche,,,
Webdesign Inspiration,13,https://webdesign-inspiration.com,Design,45,Yes,,Draft,,,Niche,,,
iBuildNew,13,https://www.ibuildnew.com.au,Home,45,Yes,,Draft,,,Niche,,,
EU-Business,13,https://www.eu-business.com,B2B,46,Yes,,Draft,,,Niche,,,
MassageTherapy (AMBP),13,https://www.massagetherapy.com,Health,45,Yes,,Draft,,,Niche,,,
Fit Pro Directory,13,https://fitprofessionals.net,Fitness,40,Yes,,Draft,,,Niche,,,
Curated.design,13,https://www.curated.design,Design,52,Yes,,Draft,,,Niche,,,
1 Directory Tier URL Category DR Dofollow Submission Date Status Live URL Backlink Verified Positioning Variant Used Tags Used Account Email Notes
2 Product Hunt 1 https://producthunt.com/posts/new Launch 91 Yes Draft Startup
3 Hacker News (Show HN) 1 https://news.ycombinator.com/submit Launch 91 No Draft Dev
4 BetaList 1 https://betalist.com/submit Launch 64 Yes Draft Startup
5 Fazier 1 https://fazier.com/submit Launch 30 Yes Draft Startup
6 DevHunt 1 https://devhunt.org/submit Launch 35 Yes Draft Dev
7 Uneed 1 https://uneed.best/submit-a-tool Launch 40 Yes Draft Startup
8 Microlaunch 1 https://microlaunch.net/submit Launch 30 Yes Draft Startup
9 OpenHunts 1 https://openhunts.com/submit Launch 25 Yes Draft Startup
10 LaunchVault 1 https://launchvault.com/submit Launch 20 Yes Draft Startup
11 What Launched Today 1 https://whatlaunchedtoday.com Launch 20 Yes Draft Startup
12 Launching Next 1 https://launchingnext.com/submit Launch 30 Yes Draft Startup
13 PeerPush 1 https://peerpush.net/submit Launch 25 Yes Draft Startup
14 Firsto 1 https://firsto.co/submit Launch 25 Yes Draft Startup
15 GetByte 1 https://getbyte.co/submit Launch 20 Yes Draft Startup
16 Best of Web 1 https://bestofweb.io/submit Launch 30 Yes Draft Startup
17 Tiny Launch 1 https://tinylaunch.com/submit Launch 20 Yes Draft Startup
18 PitchWall 1 https://pitchwall.co/submit Launch 25 Yes Draft Startup
19 AlternativeTo 2 https://alternativeto.net/software/_/add/ SaaS 79 No Draft SaaS
20 SaaSHub 2 https://saashub.com/submit SaaS 77 Yes Draft SaaS
21 G2 2 https://my.g2.com/sellers/welcome SaaS 92 Yes Draft B2B review
22 Capterra 2 https://www.capterra.com/vendors SaaS 93 Yes Draft B2B review
23 GetApp 2 https://www.getapp.com/vendors SaaS 78 Yes Draft B2B review
24 SourceForge 2 https://sourceforge.net/user/register SaaS 92 Yes Draft SaaS
25 Slashdot 2 https://slashdot.org/submission SaaS 88 Yes Draft SaaS
26 Startup Stash 2 https://startupstash.com/submit SaaS 50 Yes Draft Startup
27 SideProjectors 2 https://www.sideprojectors.com/project/new SaaS 35 Yes Draft Startup
28 F6S 2 https://www.f6s.com/company/create SaaS 65 Yes Draft Startup
29 Stackshare 2 https://stackshare.io/new-product SaaS 60 Yes Draft Dev
30 TrustRadius 2 https://www.trustradius.com/vendors SaaS 72 Yes Draft B2B review
31 Crozdesk 2 https://crozdesk.com/vendors SaaS 55 Yes Draft SaaS
32 There's An AI For That 3 https://theresanaiforthat.com/submit AI 76 Yes Draft AI
33 Futurepedia 3 https://www.futurepedia.io/submit-tool AI 70 Yes Draft AI
34 Toolify.ai 3 https://www.toolify.ai/submit AI 71 Yes Draft AI
35 Future Tools 3 https://www.futuretools.io/submit-a-tool AI 69 Yes Draft AI
36 AI Tools Neilpatel 3 https://neilpatel.com/ai-tools AI 91 Yes Draft AI
37 Good AI Tools 3 https://goodaitools.com/submit AI 66 Yes Draft AI
38 NewTools.site 3 https://newtools.site/submit AI 51 Yes Draft AI
39 aitools.inc 3 https://aitools.inc/submit AI 66 Yes Draft AI
40 AIStage 3 https://aistage.net/submit AI 66 Yes Draft AI
41 AItrendytools 3 https://www.aitrendytools.com/submit AI 69 Yes Draft AI
42 Grabon AI Directory 3 https://www.grabon.in/indulge/ai-tools/submit AI 70 Yes Draft AI
43 TopAI.tools 3 https://topai.tools/submit AI 60 Yes Draft AI
44 Supertools 3 https://supertools.therundown.ai/submit AI 61 Yes Draft AI
45 AI Tools Directory 3 https://aitoolsdirectory.com/submit AI 55 Yes Draft AI
46 LogicBalls 3 https://logicballs.com/submit AI 40 Yes Draft AI
47 SaasAITools 3 https://saasaitools.com/submit AI 30 Yes Draft AI
48 PoweredByAI 3 https://poweredbyai.app/submit AI 35 Yes Draft AI
49 TheAISurf 3 https://theaisurf.com/submit AI 30 Yes Draft AI
50 Aixyz 3 https://ai.xyz/submit AI 30 Yes Draft AI
51 AI Pedia Hub 3 https://aipediahub.com/submit AI 40 Yes Draft AI
52 Dofollow.Tools 3 https://dofollow.tools/submit AI 30 Yes Draft AI
53 AI Scout 3 https://aiscout.net/submit AI 25 Yes Draft AI
54 AiMatchPro 3 https://aimatchpro.ai/submit AI 20 Yes Draft AI
55 AIChief 3 https://aichief.com/submit AI 35 Yes Draft AI
56 AI Tools Love 3 https://aitools.love/submit AI 25 Yes Draft AI
57 AI Agents List 4 https://aiagentslist.com/submit Agent Yes Draft Agent
58 Glama.ai MCP 4 https://glama.ai/mcp/servers MCP Yes Draft MCP
59 APITracker MCP 4 https://apitracker.io/mcp-servers MCP Yes Draft MCP
60 Linux Foundation MCP Registry 4 https://github.com/modelcontextprotocol/registry MCP Yes Draft MCP
61 AI Agent Store 4 https://aiagentstore.ai/submit Agent Yes Draft Agent
62 AI Agents Base 4 https://aiagentsbase.com/submit Agent Yes Draft Agent
63 AI Agents Directory 4 https://aiagentsdirectory.com/submit Agent Yes Draft Agent
64 AgentHunter 4 https://agenthunter.com/submit Agent Yes Draft Agent
65 AI Agents Live 4 https://aiagents.live/submit Agent Yes Draft Agent
66 AI Agents Marketplace 4 https://aiagentsmarketplace.com/submit Agent Yes Draft Agent
67 NoCodeFinder 5 https://www.nocodefinder.com/submit No-Code 45 Yes Draft No-code
68 No Code MBA 5 https://www.nocode.mba/tools/submit No-Code 55 Yes Draft No-code
69 We Are No Code 5 https://www.wearenocode.com/submit No-Code 40 Yes Draft No-code
70 NoCodeList 5 https://nocodelist.co/submit No-Code 30 Yes Draft No-code
71 NoCodeDevs 5 https://www.nocodedevs.com/submit No-Code 25 Yes Draft No-code
72 NoCode.Tech 5 https://www.nocode.tech/submit No-Code 35 Yes Draft No-code
73 Zapier App Directory 7 https://zapier.com/developer Integration 91 Yes Draft Integration
74 HubSpot App Marketplace 7 https://ecosystem.hubspot.com/marketplace Integration 93 Yes Draft Integration
75 Slack App Directory 7 https://api.slack.com/apps Integration 89 Yes Draft Integration
76 Airtable Marketplace 7 https://airtable.com/marketplace Integration 82 Yes Draft Integration
77 Notion Integrations 7 https://www.notion.so/integrations Integration 88 Yes Draft Integration
78 Make (Integromat) 7 https://www.make.com/en/partners Integration 70 Yes Draft Integration
79 Pipedream 7 https://pipedream.com/docs/components Integration 70 Yes Draft Integration
80 Software Advice 2 https://www.softwareadvice.com/vendors SaaS 88 Yes Draft B2B review
81 TheSaaSDirectory 2 https://thesaasdirectory.com SaaS 88 Yes Draft SaaS
82 Tech.co 2 https://tech.co SaaS 80 Yes Draft SaaS
83 Taalk 2 https://taalk.com Startup 80 Yes Draft Startup
84 Startup Fame 2 https://startupfa.me Startup 77 Yes Draft Startup
85 Indie Hackers 2 https://www.indiehackers.com SaaS 76 Yes Draft Startup
86 Slant 2 https://www.slant.co SaaS 75 Yes Draft SaaS
87 Gust 2 https://gust.com Startup 75 Yes Draft Startup
88 Inc42 2 https://inc42.com Startup 75 Yes Draft Startup
89 Wefunder 2 https://wefunder.com Startup 76 Yes Draft Startup
90 Startups.com 2 https://www.startups.com Startup 68 Yes Draft Startup
91 IndieHustles 2 https://www.indiehustles.com SaaS 66 Yes Draft SaaS
92 SaaSWorthy 2 https://www.saasworthy.com SaaS 65 Yes Draft SaaS
93 ToolsFine 2 https://toolsfine.com SaaS 65 Yes Draft SaaS
94 Bizcommunity 2 https://www.bizcommunity.com B2B 65 Yes Draft B2B
95 StartUs 2 https://startus.cc Startup 62 Yes Draft Startup
96 Today Launches 2 https://todaylaunches.com Startup 60 Yes Draft Startup
97 StartupBuffer 2 https://startupbuffer.com Startup 57 Yes Draft Startup
98 Feedough 2 https://www.feedough.com Startup 55 Yes Draft Startup
99 Indie Hacker Tools 2 https://www.indiehacker.tools Startup 55 Yes Draft Startup
100 Open Launch 2 https://open-launch.com Startup 55 Yes Draft Startup
101 New SaaSly 2 https://newsaasly.com SaaS 52 Yes Draft SaaS
102 Business Software 2 https://www.business-software.com SaaS 49 Yes Draft SaaS
103 Promote Project 2 https://www.promoteproject.com Startup 47 Yes Draft Startup
104 FiveTaco 2 https://fivetaco.com SaaS 47 Yes Draft SaaS
105 Cuspera 2 https://www.cuspera.com SaaS 45 Yes Draft SaaS
106 BetaBound 2 https://betabound.com Startup 45 Yes Draft Startup
107 Makerthrive 2 https://makerthrive.com Startup 45 Yes Draft Startup
108 StartupTracker 2 https://startuptracker.io Startup 44 Yes Draft Startup
109 BusinessHunt 2 https://businesshunt.co SaaS 43 Yes Draft SaaS
110 Launched.io 2 https://launched.io Startup 40 Yes Draft Startup
111 ProfitHunt 2 https://profithunt.co Startup 40 Yes Draft Startup
112 10words 2 https://10words.io SaaS 40 Yes Draft SaaS
113 TrustMRR 2 https://trustmrr.com Startup 40 Yes Draft Startup
114 OpenClawDir 2 https://openclawdir.com Tech 35 Yes Draft Dev
115 Build Voyage 2 https://buildvoyage.com Startup 33 Yes Draft Startup
116 AlphaDigits 2 https://alphadigits.com SaaS 32 Yes Draft SaaS
117 GPTForge 3 https://gptforge.net AI 30 Yes Draft AI Domain created 2025 — DR 88 from source list is implausible
118 AI Tools Guide 3 https://aitoolsguide.com AI 77 Yes Draft AI
119 AIToolly 3 https://aitoolly.com AI 69 Yes Draft AI
120 All The AI Tools 3 https://alltheaitools.com AI 66 Yes Draft AI
121 Aiforme.wiki 3 https://aiforme.wiki AI 66 Yes Draft AI
122 Noxilo 3 https://noxilo.com AI 66 Yes Draft AI
123 AI Generation 3 https://www.theaigeneration.com AI 55 Yes Draft AI
124 Every AI 3 https://every-ai.com AI 55 Yes Draft AI
125 BAI.tools 3 https://bai.tools AI 53 Yes Draft AI
126 The Rundown Tools 3 https://www.rundown.ai/tools AI 40 Yes Draft AI
127 AI NavHub 3 https://ainavhub.com AI 38 Yes Draft AI
128 WhatTheAI 3 https://whattheai.tech AI 35 Yes Draft AI
129 ToolAI 3 https://toolai.io AI 31 Yes Draft AI
130 LLM Relevance 3 https://www.llmrelevance.com AI 30 Yes Draft AI
131 MakerPad / Zapier 5 https://www.makerpad.co No-Code 62 Yes Draft No-code
132 NoCodeFounders 5 https://www.nocodefounders.com No-Code 45 Yes Draft No-code
133 WordPress.com 8 https://wordpress.com Blog 100 Yes Draft Profile
134 Blogger 8 https://www.blogger.com Blog 100 Yes Draft Profile
135 Tumblr 8 https://www.tumblr.com Blog 99 Yes Draft Profile
136 GitHub 8 https://github.com Tech 98 Yes Draft Profile
137 SoundCloud 8 https://soundcloud.com Music 96 Yes Draft Profile
138 Weebly 8 https://www.weebly.com Blog 95 Yes Draft Profile
139 SlideShare 8 https://www.slideshare.net Content 95 Yes Draft Profile
140 Flickr 8 https://www.flickr.com Photography 95 Yes Draft Profile
141 GitLab 8 https://gitlab.com Tech 94 Yes Draft Profile
142 eBay Stores 8 https://www.ebay.com E-commerce 94 Yes Draft Profile
143 Etsy 8 https://www.etsy.com E-commerce 93 Yes Draft Profile
144 Substack 8 https://substack.com Newsletter 93 Yes Draft Profile
145 Bitbucket 8 https://bitbucket.org Tech 93 Yes Draft Profile
146 Scribd 8 https://www.scribd.com Content 93 Yes Draft Profile
147 Disqus 8 https://disqus.com Professional 93 Yes Draft Profile
148 Behance 8 https://www.behance.net Design 93 Yes Draft Profile
149 Pastebin 8 https://pastebin.com Tech 93 Yes Draft Profile
150 Patreon 8 https://www.patreon.com Creator 93 Yes Draft Profile
151 Imgur 8 https://imgur.com Content 93 Yes Draft Profile
152 Dun & Bradstreet 8 https://www.dnb.com B2B 93 Yes Draft Profile
153 Ghost.org 8 https://ghost.org Blog 92 Yes Draft Profile
154 Evernote 8 https://evernote.com Content 92 Yes Draft Profile
155 Issuu 8 https://issuu.com Content 92 Yes Draft Profile
156 CodePen 8 https://codepen.io Tech 92 Yes Draft Profile
157 Kaggle 8 https://www.kaggle.com AI 92 Yes Draft Profile
158 Houzz 8 https://www.houzz.com Home 92 Yes Draft Profile
159 LiveJournal 8 https://www.livejournal.com Blog 91 Yes Draft Profile
160 Bandcamp 8 https://bandcamp.com Music 91 Yes Draft Profile
161 Dev.to 8 https://dev.to Tech 90 Yes Draft Profile
162 Gravatar 8 https://gravatar.com Professional 90 Yes Draft Profile
163 Replit 8 https://replit.com Tech 90 Yes Draft Profile
164 CodeProject 8 https://www.codeproject.com Tech 90 Yes Draft Profile
165 Jimdo 8 https://www.jimdo.com Blog 89 Yes Draft Profile
166 Calameo 8 https://www.calameo.com Content 89 Yes Draft Profile
167 Buy Me a Coffee 8 https://www.buymeacoffee.com Creator 88 Yes Draft Profile
168 ArtStation 8 https://www.artstation.com Design 88 Yes Draft Profile
169 500px 8 https://500px.com Photography 88 Yes Draft Profile
170 AppSumo 8 https://appsumo.com E-commerce 84 Yes Draft Profile
171 IndiaMART 8 https://www.indiamart.com B2B 87 Yes Draft Profile
172 Strikingly 8 https://www.strikingly.com Blog 87 Yes Draft Profile
173 Hashnode 8 https://hashnode.com Tech 85 Yes Draft Profile
174 About.me 8 https://about.me Professional 85 Yes Draft Profile
175 Mixcloud 8 https://www.mixcloud.com Music 85 Yes Draft Profile
176 4Shared 8 https://www.4shared.com Content 85 Yes Draft Profile
177 HubPages 8 https://hubpages.com Blog 84 Yes Draft Profile
178 TeachersPayTeachers 8 https://www.teacherspayteachers.com Education 84 Yes Draft Profile
179 AuthorStream 8 https://www.authorstream.com Content 70 Yes Draft Profile
180 Model Mayhem 8 https://www.modelmayhem.com Design 72 Yes Draft Profile
181 Penzu 8 https://penzu.com Blog 60 Yes Draft Profile
182 Crevado 8 https://crevado.com Design 50 Yes Draft Profile
183 MyFolio 8 https://myfolio.com Design 55 Yes Draft Profile
184 Manta 9 https://www.manta.com Local business 76 Yes Draft Local
185 ActiveSearchResults 9 https://www.activesearchresults.com Local business 74 Yes Draft Local
186 Hotfrog 9 https://www.hotfrog.com Local business 72 Yes Draft Local
187 Spoke 9 https://www.spoke.com Local business 70 Yes Draft Local
188 Locanto 9 https://www.locanto.com General 70 Yes Draft Local
189 MerchantCircle 9 https://www.merchantcircle.com Local business 68 Yes Draft Local
190 Just Landed 9 https://www.justlanded.com Local business 65 Yes Draft Local
191 Showmelocal 9 https://www.showmelocal.com Local business 64 Yes Draft Local
192 Cylex 9 https://www.cylex.us.com Local business 64 Yes Draft Local
193 Brownbook 9 https://www.brownbook.net Local business 63 Yes Draft Local
194 Tupalo 9 https://tupalo.com Local business 62 Yes Draft Local
195 WebWiki 9 https://www.webwiki.com Local business 60 Yes Draft Local
196 iBegin 9 https://www.ibegin.com Local business 60 Yes Draft Local
197 CitySquares 9 https://citysquares.com Local business 55 Yes Draft Local
198 eLocal 9 https://elocal.com Local business 55 Yes Draft Local
199 2FindLocal 9 https://www.2findlocal.com Local business 53 Yes Draft Local
200 Chamber of Commerce 9 https://www.chamberofcommerce.com Local business 50 Yes Draft Local
201 FindUsLocal 9 https://www.finduslocal.com Local business 50 Yes Draft Local
202 ezlocal 9 https://www.ezlocal.com Local business 50 Yes Draft Local
203 Yellow Pages Goes Green 9 https://www.yellowpagesgoesgreen.org Local business 49 Yes Draft Local
204 Where To? 9 https://www.where2go.com Local business 46 Yes Draft Local
205 SitePoint Forums 10 https://www.sitepoint.com/community Tech 89 Yes Draft Forum
206 Mumsnet Forums 10 https://www.mumsnet.com/Talk Family 85 Yes Draft Forum
207 Digital Point 10 https://forums.digitalpoint.com Marketing 82 Yes Draft Forum
208 WebmasterWorld 10 https://www.webmasterworld.com Marketing 77 Yes Draft Forum
209 BlackHatWorld 10 https://www.blackhatworld.com Marketing 77 Yes Draft Forum
210 GrowthHackers 10 https://growthhackers.com Marketing 76 Yes Draft Forum
211 Warrior Forum 10 https://www.warriorforum.com Marketing 73 Yes Draft Forum
212 Apsense 10 https://www.apsense.com Marketing 72 Yes Draft Forum
213 Strava Clubs 10 https://www.strava.com Fitness 90 Yes Draft Forum
214 Foursquare 10 https://business.foursquare.com Hospitality 90 Yes Draft Forum
215 ActiveRain 10 https://activerain.com Real estate 70 Yes Draft Forum
216 Quibblo 10 https://www.quibblo.com General 55 Yes Draft Forum
217 EzineArticles 11 https://ezinearticles.com Article 80 Yes Draft Article
218 PRLog 11 https://www.prlog.org Press release 80 Yes Draft PR
219 Feedspot 11 https://www.feedspot.com Blog directory 80 Yes Draft Article
220 PR.com 11 https://www.pr.com Press release 77 Yes Draft PR
221 Alltop 11 https://alltop.com Blog directory 73 Yes Draft Article
222 OpenPR 11 https://www.openpr.com Press release 72 Yes Draft PR
223 ArticlesBase 11 https://www.articlesbase.com Article 70 Yes Draft Article
224 1888 Press Release 11 https://www.1888pressrelease.com Press release 69 Yes Draft PR
225 NewswireToday 11 https://www.newswiretoday.com Press release 65 Yes Draft PR
226 Blogarama 11 https://www.blogarama.com Blog directory 64 Yes Draft Article
227 Online PR News 11 https://www.onlineprnews.com Press release 62 Yes Draft PR
228 PR Free 11 https://www.pr-free.com Press release 62 Yes Draft PR
229 SubmissionWebDirectory 11 https://www.submissionwebdirectory.com General 61 Yes Draft Article
230 Sooper Articles 11 https://www.sooperarticles.com Article 60 Yes Draft Article
231 OnToplist 11 https://www.ontoplist.com Blog directory 60 Yes Draft Article
232 BlogEngage 11 https://www.blogengage.com Blog directory 55 Yes Draft Article
233 BizSugar 11 https://www.bizsugar.com Business 55 Yes Draft Article
234 TechPluto 11 https://www.techpluto.com Marketing 50 Yes Draft Article
235 Semfirms 11 https://www.semfirms.com Marketing 45 Yes Draft Article
236 CabinetM 11 https://www.cabinetm.com Marketing 45 Yes Draft Article
237 Cold Email Kit 11 https://coldemailkit.com Marketing 44 Yes Draft Article
238 Directory LDM Studio 11 https://www.directory.ldmstudio.com General 40 Yes Draft Article
239 Quality Internet Directory 11 https://www.qualityinternetdirectory.com General 39 Yes Draft Article
240 Site Promotion Directory 11 https://www.sitepromotiondirectory.com Marketing 46 Yes Draft Article
241 ProofStories 11 https://proofstories.io Marketing 32 Yes Draft Article
242 Scoop.it 12 https://www.scoop.it Curation 91 Yes Draft Bookmarking
243 Diigo 12 https://www.diigo.com Bookmarking 85 Yes Draft Bookmarking
244 Pearltrees 12 https://www.pearltrees.com Bookmarking 84 Yes Draft Bookmarking
245 BibSonomy 12 https://www.bibsonomy.org Research 70 Yes Draft Bookmarking
246 Folkd 12 https://www.folkd.com Bookmarking 64 Yes Draft Bookmarking
247 Justia 13 https://www.justia.com Legal 85 Yes Draft Niche
248 Lawyers.com 13 https://www.lawyers.com Legal 82 Yes Draft Niche
249 Porch 13 https://porch.com Home 80 Yes Draft Niche
250 AllMenus 13 https://www.allmenus.com Hospitality 76 Yes Draft Niche
251 HG.org 13 https://www.hg.org Legal 75 Yes Draft Niche
252 Sulekha 13 https://www.sulekha.com B2B 73 Yes Draft Niche
253 BuildZoom 13 https://www.buildzoom.com Home 73 Yes Draft Niche
254 LandBook 13 https://land-book.com Design 72 Yes Draft Niche
255 Athlinks 13 https://www.athlinks.com Fitness 72 Yes Draft Niche
256 Evensi Events 13 https://evensi.com Events 62 Yes Draft Niche
257 Wellness.com 13 https://www.wellness.com Health 60 Yes Draft Niche
258 Placester 13 https://placester.com Real estate 60 Yes Draft Niche
259 YogaTrail 13 https://www.yogatrail.com Health 55 Yes Draft Niche
260 Tradify (FreeIndex) 13 https://www.freeindex.co.uk Home 55 Yes Draft Niche
261 Webdesign Inspiration 13 https://webdesign-inspiration.com Design 45 Yes Draft Niche
262 iBuildNew 13 https://www.ibuildnew.com.au Home 45 Yes Draft Niche
263 EU-Business 13 https://www.eu-business.com B2B 46 Yes Draft Niche
264 MassageTherapy (AMBP) 13 https://www.massagetherapy.com Health 45 Yes Draft Niche
265 Fit Pro Directory 13 https://fitprofessionals.net Fitness 40 Yes Draft Niche
266 Curated.design 13 https://www.curated.design Design 52 Yes Draft Niche
@@ -1,7 +1,8 @@
---
name: email-sequence
version: 1.0.0
description: When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.
name: emails
description: When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," "lifecycle emails," "trigger-based emails," "email funnel," "email workflow," "what emails should I send," "welcome series," or "email cadence." Use this for any multi-email automated flow. For cold outreach emails, see cold-email. For in-app onboarding, see onboarding.
metadata:
version: 2.0.0
---
# Email Sequence Design
@@ -11,7 +12,7 @@ You are an expert in email marketing and automation. Your goal is to create emai
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before creating a sequence, understand:
@@ -292,6 +293,7 @@ For implementation, see the [tools registry](../../tools/REGISTRY.md). Key email
|------|----------|:---:|-------|
| **Customer.io** | Behavior-based automation | - | [customer-io.md](../../tools/integrations/customer-io.md) |
| **Mailchimp** | SMB email marketing | ✓ | [mailchimp.md](../../tools/integrations/mailchimp.md) |
| **Nitrosend** | AI-native email (sequences via prompts) | ✓ | [nitrosend.md](../../tools/integrations/nitrosend.md) |
| **Resend** | Developer-friendly transactional | ✓ | [resend.md](../../tools/integrations/resend.md) |
| **SendGrid** | Transactional email at scale | - | [sendgrid.md](../../tools/integrations/sendgrid.md) |
| **Kit** | Creator/newsletter focused | - | [kit.md](../../tools/integrations/kit.md) |
@@ -300,7 +302,10 @@ For implementation, see the [tools registry](../../tools/REGISTRY.md). Key email
## Related Skills
- **onboarding-cro**: For in-app onboarding (email supports this)
- **lead-magnets**: For planning lead magnets that feed into nurture sequences
- **churn-prevention**: For cancel flows, save offers, and dunning strategy (email supports this)
- **onboarding**: For in-app onboarding (email supports this)
- **copywriting**: For landing pages emails link to
- **ab-test-setup**: For testing email elements
- **popup-cro**: For email capture popups
- **ab-testing**: For testing email elements
- **popups**: For email capture popups
- **revops**: For lifecycle stages that trigger email sequences
+93
View File
@@ -0,0 +1,93 @@
{
"skill_name": "emails",
"evals": [
{
"id": 1,
"prompt": "Create a welcome email sequence for new users who sign up for our project management tool's free trial. The trial is 14 days. We want to get them to their aha moment (creating their first project and inviting a team member).",
"expected_output": "Should check for product-marketing.md first. Should create a welcome sequence (5-7 emails) following the core principles: one email one job, value before ask. Should map each email to a specific goal in the 14-day trial journey. Should include timing/delays between emails. Each email should follow the email copy structure: hook → context → value → CTA → sign-off. Should include subject lines following the subject line strategy. Should align sequence with the aha moment (first project + team invite). Output should follow the structured format with sequence overview and per-email specs.",
"assertions": [
"Checks for product-marketing.md",
"Creates 5-7 email welcome sequence",
"Follows one email one job principle",
"Maps emails to trial timeline (14 days)",
"Includes timing between emails",
"Each email has hook, context, value, CTA",
"Includes subject lines for each email",
"Aligns with stated aha moment",
"Output follows structured per-email format"
],
"files": []
},
{
"id": 2,
"prompt": "We need a lead nurture sequence for people who download our 'State of DevOps 2024' report. Goal is to get them to book a demo of our CI/CD platform.",
"expected_output": "Should create a lead nurture sequence (6-8 emails). Should follow value before ask — first emails should provide related value, not immediately push for demo. Should map the sequence from awareness (report download) through consideration (related content, case studies) to decision (demo request). Should include timing between emails. Each email should have clear subject line, hook, single CTA. Should gradually increase commitment asks across the sequence.",
"assertions": [
"Creates 6-8 email lead nurture sequence",
"Follows value before ask principle",
"Maps from awareness through consideration to decision",
"Includes timing between emails",
"Each email has clear subject line and single CTA",
"Gradually increases commitment asks",
"Connects to original download topic"
],
"files": []
},
{
"id": 3,
"prompt": "our email open rates have tanked. used to be 35% now we're at 18%. what's going on and how do we fix our subject lines?",
"expected_output": "Should trigger on casual phrasing. Should diagnose potential causes of declining open rates: sender reputation, list hygiene, subject line quality, sending frequency, deliverability issues. Should apply the subject line strategy from the skill: test curiosity vs benefit vs urgency patterns, personalization, optimal length. Should recommend a re-engagement campaign to clean the list. Should provide specific subject line formulas and examples. Should suggest testing framework for subject lines.",
"assertions": [
"Triggers on casual phrasing",
"Diagnoses potential causes beyond just subject lines",
"Addresses sender reputation and deliverability",
"Recommends list hygiene or re-engagement",
"Applies subject line strategy with specific patterns",
"Provides subject line formulas and examples",
"Suggests testing framework"
],
"files": []
},
{
"id": 4,
"prompt": "Build a re-engagement sequence for subscribers who haven't opened any emails in 90 days. We have about 5,000 inactive subscribers.",
"expected_output": "Should create a re-engagement sequence (3-4 emails). Should follow the re-engagement pattern: first email acknowledges absence and offers value, middle emails escalate with compelling reasons to re-engage, final email is a clear 'last chance' before removal. Should recommend aggressive subject lines to break through. Should include a sunset policy (remove non-responders after sequence completes). Should address the impact on deliverability of keeping inactive subscribers.",
"assertions": [
"Creates 3-4 email re-engagement sequence",
"Acknowledges absence in first email",
"Escalates through the sequence",
"Includes 'last chance' final email",
"Recommends sunset policy for non-responders",
"Addresses deliverability impact of inactive subscribers",
"Uses compelling subject lines"
],
"files": []
},
{
"id": 5,
"prompt": "What's the ideal timing for our onboarding email sequence? We send the first email immediately after signup, but we're not sure about the rest.",
"expected_output": "Should provide timing guidance for onboarding sequences. Should reference the timing and delays framework: immediate first email (welcome/confirmation), then suggest data-driven timing based on user behavior triggers vs fixed time delays. Should recommend behavior-triggered emails when possible (user completed action → next email) with time-based fallbacks. Should provide typical timing patterns for SaaS onboarding (day 0, day 1, day 3, day 5, day 7, etc.). Should note that optimal timing depends on product complexity and trial length.",
"assertions": [
"Provides timing guidance for onboarding sequences",
"Recommends immediate first email",
"Discusses behavior-triggered vs time-based timing",
"Provides typical timing patterns",
"Notes timing depends on product and trial length",
"Recommends behavior triggers with time-based fallbacks"
],
"files": []
},
{
"id": 6,
"prompt": "Help me optimize our post-signup onboarding experience. Users sign up but 60% never complete setup.",
"expected_output": "Should recognize this is an in-app onboarding optimization task, not an email sequence task. Should defer to or cross-reference the onboarding skill, which handles in-app onboarding flows, checklists, and activation optimization. May offer to help with the email component of onboarding but should make clear that onboarding is the primary skill for this task.",
"assertions": [
"Recognizes this as in-app onboarding optimization",
"References or defers to onboarding skill",
"Does not attempt full onboarding redesign using email patterns",
"May offer email component support"
],
"files": []
}
]
}
@@ -1,5 +1,15 @@
# Email Copy Guidelines
## Contents
- Structure
- Formatting
- Tone
- Length
- CTA Buttons vs. Links
- Personalization (merge fields, dynamic content, triggered emails)
- Segmentation Strategies (by behavior, by stage, by profile)
- Testing and Optimization (what to test, how to test, metrics to track)
## Structure
1. **Hook**: First line grabs attention
@@ -2,6 +2,15 @@
A comprehensive guide to lifecycle and campaign emails. Use this as an audit checklist and implementation reference.
## Contents
- Onboarding Emails (new users series, new customers series, key onboarding step reminder, new user invite)
- Retention Emails (upgrade to paid, upgrade to higher plan, ask for review, offer support proactively, product usage report, NPS survey, referral program)
- Billing Emails (switch to annual, failed payment recovery, cancellation survey, upcoming renewal reminder)
- Usage Emails (daily/weekly/monthly summary, key event or milestone notifications)
- Win-Back Emails (expired trials, cancelled customers)
- Campaign Emails (monthly roundup/newsletter, seasonal promotions, product updates, industry news roundup, pricing update)
- Email Audit Checklist (onboarding, retention, billing, usage, win-back, campaigns)
## Onboarding Emails
### New Users Series
@@ -2,6 +2,12 @@
Detailed templates for common email sequences.
## Contents
- Welcome Sequence (Post-Signup)
- Lead Nurture Sequence (Pre-Sale)
- Re-Engagement Sequence
- Onboarding Sequence (Product Users)
## Welcome Sequence (Post-Signup)
**Email 1: Welcome (Immediate)**
@@ -1,7 +1,8 @@
---
name: free-tool-strategy
version: 1.0.0
description: When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," or "free resource." This skill bridges engineering and marketing — useful for founders and technical marketers.
name: free-tools
description: When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "grader tool," "audit tool," "should I build a free tool," or "tools for lead gen." Use this whenever someone wants to build something useful and give it away to attract leads or earn links. For downloadable content lead magnets (ebooks, checklists, templates), see lead-magnets.
metadata:
version: 2.0.0
---
# Free Tool Strategy (Engineering as Marketing)
@@ -11,7 +12,7 @@ You are an expert in engineering-as-marketing strategy. Your goal is to help pla
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before designing a tool strategy, understand:
@@ -171,7 +172,8 @@ Rate each factor 1-5:
## Related Skills
- **page-cro**: For optimizing the tool's landing page
- **lead-magnets**: For downloadable content lead magnets (ebooks, checklists, templates)
- **cro**: For optimizing the tool's landing page
- **seo-audit**: For SEO-optimizing the tool
- **analytics-tracking**: For measuring tool usage
- **email-sequence**: For nurturing leads from the tool
- **analytics**: For measuring tool usage
- **emails**: For nurturing leads from the tool
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@@ -0,0 +1,90 @@
{
"skill_name": "free-tools",
"evals": [
{
"id": 1,
"prompt": "We want to build a free tool to drive leads for our SEO software. We're thinking about an SEO audit tool or a keyword research tool. Which would be better and how should we approach it?",
"expected_output": "Should check for product-marketing.md first. Should apply the evaluation scorecard to compare both tool ideas across dimensions (audience alignment, lead quality, build effort, SEO value, maintenance burden, competitive differentiation). Should reference the tool types from the skill (analyzers, testers). Should recommend the stronger option with rationale. Should discuss lead capture gating strategy (what's free vs what requires email). Should address MVP scope — what's the minimum valuable version. Should provide implementation recommendations.",
"assertions": [
"Checks for product-marketing.md",
"Applies evaluation scorecard to compare options",
"References tool types from the skill",
"Recommends one option with clear rationale",
"Discusses lead capture gating strategy",
"Addresses MVP scope",
"Provides implementation recommendations"
],
"files": []
},
{
"id": 2,
"prompt": "I want to build a free ROI calculator for our HR software. Users input their company size and current processes, and it shows how much time and money they'd save.",
"expected_output": "Should identify this as a calculator tool type. Should apply the ideation framework to validate the concept. Should discuss lead capture strategy: should the basic result be free and detailed report gated? Should address the build vs buy decision. Should recommend MVP scope (what inputs, what outputs, what formula). Should discuss SEO considerations for the tool page. Should reference the evaluation scorecard to score the idea.",
"assertions": [
"Identifies as calculator tool type",
"Applies ideation framework to validate",
"Discusses lead capture gating strategy",
"Addresses build vs buy decision",
"Recommends MVP scope (inputs, outputs, formula)",
"Discusses SEO considerations",
"References evaluation scorecard"
],
"files": []
},
{
"id": 3,
"prompt": "give me some ideas for free tools we could build. we sell email marketing software for e-commerce brands.",
"expected_output": "Should trigger on casual phrasing. Should apply the ideation framework to generate tool ideas relevant to email marketing + e-commerce. Should provide 5-8 ideas across different tool types (calculators, generators, analyzers, testers). Examples: email subject line tester, email deliverability checker, email ROI calculator, email template generator, spam score checker. Should briefly score each against the evaluation dimensions. Should recommend top 2-3 to pursue.",
"assertions": [
"Triggers on casual phrasing",
"Applies ideation framework",
"Generates ideas across multiple tool types",
"Ideas are relevant to email marketing + e-commerce",
"Provides 5-8 ideas",
"Briefly evaluates each idea",
"Recommends top 2-3 to pursue"
],
"files": []
},
{
"id": 4,
"prompt": "We built a free website speed test tool 6 months ago but it's barely getting any traffic. What went wrong and how do we fix it?",
"expected_output": "Should diagnose why the tool isn't getting traffic. Should investigate: SEO strategy for the tool page (target keywords, on-page optimization), distribution strategy (was it launched and forgotten?), competitive landscape (are there dominant free tools already?), tool quality and UX (does it provide unique value?). Should apply the engineering as marketing principles. Should recommend a recovery plan: SEO improvements, content marketing around the tool, product improvements for differentiation.",
"assertions": [
"Diagnoses potential traffic issues",
"Investigates SEO strategy for the tool",
"Assesses competitive landscape",
"Questions unique value proposition",
"Applies engineering as marketing principles",
"Recommends recovery plan with specific actions"
],
"files": []
},
{
"id": 5,
"prompt": "Should we gate our free tool behind an email capture or make it completely free? We want leads but don't want to kill usage.",
"expected_output": "Should apply the lead capture gating strategy framework. Should present the spectrum: fully ungated → partial gating (basic results free, detailed report gated) → fully gated. Should recommend partial gating as the typical best approach — give enough value to demonstrate the tool's worth, gate the detailed/actionable output. Should discuss tradeoffs: ungated = more SEO value and usage, gated = more leads but fewer users. Should provide specific gating recommendations based on tool type.",
"assertions": [
"Applies lead capture gating strategy",
"Presents gating spectrum (ungated to fully gated)",
"Recommends partial gating approach",
"Discusses tradeoffs of each approach",
"Provides specific gating recommendations",
"Addresses SEO impact of gating decisions"
],
"files": []
},
{
"id": 6,
"prompt": "How do I optimize the landing page for our free tool to get more signups? The tool itself is great but nobody finds it.",
"expected_output": "Should recognize this is a landing page conversion optimization task, not a free tool strategy task. Should defer to or cross-reference the cro skill for optimizing the tool's landing page conversion rate. May provide free-tool-specific context (gating strategy, value demonstration) but should make clear that cro is the right skill for page conversion optimization.",
"assertions": [
"Recognizes this as page CRO, not free tool strategy",
"References or defers to cro skill",
"May provide free-tool-specific context",
"Does not attempt full page CRO using free tool strategy patterns"
],
"files": []
}
]
}
@@ -2,6 +2,15 @@
Detailed guide to each type of marketing tool you can build.
## Contents
- Calculators
- Generators
- Analyzers/Auditors
- Testers/Validators
- Libraries/Resources
- Interactive Educational
- Tool Concept Examples by Industry (SaaS product, agency/services, e-commerce, developer tools, finance)
## Calculators
**Best for**: Decisions involving numbers, comparisons, estimates
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@@ -0,0 +1,340 @@
---
name: image
description: "When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Flux Kontext,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'ChatGPT Images,' 'Ideogram,' 'Gemini image,' 'Nano Banana,' 'Recraft,' 'Stable Diffusion,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video."
metadata:
version: 2.0.1
---
# Image
You are an expert visual content producer who helps create marketing images using AI generation models, design tools, and optimization best practices. Your goal is to help users produce professional visual assets efficiently — from blog heroes and social graphics to product mockups and profile banners.
## Before Starting
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Image Goal
- What type of image? (Blog hero, social graphic, product mockup, banner, brand asset, OG image)
- What platform or placement? (Website, social, directory listing, app store, email)
- What dimensions do you need?
### 2. Production Approach
- Do you have existing brand assets? (Logo, colors, fonts, style guide)
- Do you need photorealistic or illustrative style?
- Is this a one-off or a template for repeated use?
### 3. Technical Context
- Do you have API keys for any image tools? (Gemini, Replicate/Flux, Ideogram)
- Budget constraints? (Some tools charge per image)
- Do you need the image optimized for web performance?
---
## Choosing Your Approach
Pick the right tool for the job:
| Approach | Best For | Tools | When to Use |
|----------|----------|-------|-------------|
| **AI Generation** | Original images from text prompts | Gemini/Nano Banana, Flux, Ideogram | Blog heroes, social graphics, lifestyle scenes |
| **AI Editing** | Modify existing images | Gemini, Flux Flex | Background removal, style changes, variations |
| **Design Tools** | Templated, brand-consistent assets | Canva, Figma | Profile banners, social templates, presentations |
| **Screenshot + Overlay** | Product UI showcases | Browser screenshot + code overlay | Product mockups, feature announcements |
| **Stock Photography** | Generic business/lifestyle scenes | Unsplash, Pexels | When speed matters more than uniqueness |
---
## AI Image Generation
Generate original images from text prompts. The fastest way to create unique marketing visuals.
### Model Comparison
| Model | Best For | Text in Images | API | Cost |
|-------|----------|:-:|-----|------|
| **Gemini Image** (Google, "Nano Banana" / Nano Banana Pro) | All-around, editing, multi-image reference, text rendering | Good | [Gemini API](https://ai.google.dev/gemini-api/docs/image-generation) | Check [pricing](https://ai.google.dev/gemini-api/docs/pricing) |
| **Flux** (Black Forest Labs — Pro 1.1, Kontext, Dev, Schnell) | Photorealism, brand consistency, batch; Kontext for in-image editing | Limited | [BFL API](https://docs.bfl.ai/), Replicate, fal.ai | Check [pricing](https://docs.bfl.ai/quick_start/pricing) |
| **Ideogram 3.0** | Typography, branded graphics, accurate text rendering | Best | [Ideogram API](https://developer.ideogram.ai/) | Check [pricing](https://about.ideogram.ai/api-pricing) |
| **ChatGPT Images 2.0 / GPT Image** (OpenAI) | General purpose, ChatGPT integration, native editing | Good | [OpenAI API](https://platform.openai.com/docs/guides/image-generation) | Check [pricing](https://platform.openai.com/docs/pricing) |
| **Midjourney v7** | Artistic, high-aesthetic, art-directed visuals | Improved | No official API; Discord + Web | Subscription-based |
| **Recraft V3** | Vector + brand-consistent illustrations, design assets | Strong | [Recraft API](https://www.recraft.ai/docs) | Per-credit |
| **Stable Diffusion 3.5 / SDXL** | Self-hosted, customizable, fine-tunable | Varies | Open source | Free (GPU costs) |
**Note:** DALL-E 3 is fully deprecated. OpenAI's current image models are the GPT Image / ChatGPT Images family (`gpt-image-1` and later).
### When to Use Which
```
Need text/headlines in the image?
├── Yes → Ideogram 3.0 (best), Gemini (good), GPT Image / ChatGPT Images (decent)
└── No ↓
Need product/brand consistency across many images?
├── Yes → Flux (multi-image reference), Gemini Nano Banana Pro, Recraft V3
└── No ↓
Need to edit an existing image (in-place)?
├── Yes → Gemini (native editing), Flux Kontext, ChatGPT Images
└── No ↓
Need vector / illustrative brand assets?
├── Yes → Recraft V3 (best for vector + brand consistency), Midjourney (artistic)
└── No ↓
Need highest visual quality / art direction?
├── Yes → Flux Pro 1.1, Midjourney v7
└── No ↓
Need volume at low cost?
└── Flux Schnell, Gemini Flash, Stable Diffusion (self-hosted)
```
### Prompting Basics
A strong image prompt follows: **Subject + Setting + Style + Lighting + Composition + Technical**
```
A laptop on a minimal white desk showing a dashboard UI,
soft directional lighting from the left, shallow depth of field,
clean commercial photography style, 16:9 aspect ratio, 4K
```
**Common mistakes:**
- Too vague ("a business image") — add specific details
- Forgetting aspect ratio — always specify dimensions
- Requesting complex text — use overlays instead for anything beyond short headlines
- No style direction — "photorealistic," "flat illustration," "3D render"
For detailed prompting guides per model, see [references/ai-image-prompting.md](references/ai-image-prompting.md).
---
## Design Tools
For templated, brand-consistent work where AI generation is overkill or too unpredictable.
### Canva
Best for non-designers who need polished output fast.
- **Strengths:** Massive template library, brand kit, Magic Resize (one design → all sizes), team collaboration
- **Best for:** Social graphics, presentations, email headers, simple banners
- **Limitations:** Less control than Figma, templates can look generic
- **Agent-friendliness:** Has an API but limited — better as a human-in-the-loop tool
### Figma
Best for teams with design systems or pixel-perfect needs.
- **Strengths:** Design system components, auto layout, developer handoff, plugins
- **Best for:** OG images via templates, design system assets, complex layouts
- **Limitations:** Steeper learning curve, requires design skill
- **Agent-friendliness:** Has an API and MCP server for reading designs
### When to Use Design Tools vs. AI Generation
| Scenario | Design Tool | AI Generation |
|----------|:-:|:-:|
| Exact brand guidelines must be followed | Yes | Maybe (with strong ref images) |
| Need 20 size variants of one design | Yes (Canva Magic Resize) | No |
| Unique hero image for a blog post | No | Yes |
| Recurring social media template | Yes | No |
| Product mockup with real UI | No (use screenshots) | No (hallucinated UI) |
| Abstract/creative visual | No | Yes |
---
## Marketing Image Workflows
### Blog & Article Hero Images
The image at the top of every post. Sets tone, improves shareability, required for OG/social previews.
1. **Define the concept** — what visual metaphor represents the topic?
2. **Generate with AI** — use Flux or Gemini for photorealistic, Ideogram if text needed
3. **Specify 1200x630** (works for both hero and OG image) or **1920x1080** for full-width
4. **Optimize** — compress to <200KB, serve as WebP with JPEG fallback
**Prompt pattern:**
```
[Visual metaphor for topic], clean modern style,
bright natural lighting, shallow depth of field,
professional blog header aesthetic, 1200x630
```
### Social Media Graphics
Platform-specific images for organic posts.
| Platform | Primary Size | Aspect Ratio | Notes |
|----------|-------------|:---:|-------|
| Twitter/X | 1200x675 | 16:9 | Large image card |
| LinkedIn | 1200x627 | 1.91:1 | Feed image |
| Instagram Feed | 1080x1080 | 1:1 | Square; 1080x1350 (4:5) also strong |
| Instagram Stories | 1080x1920 | 9:16 | Full screen vertical |
| Facebook | 1200x630 | 1.91:1 | Link share image |
**Workflow:**
1. Create the hero concept at highest resolution needed
2. Use Canva Magic Resize or manual crop for platform variants
3. Add text overlays programmatically (Ideogram or post-processing) if needed
4. Export at platform-specific dimensions
### Product Mockups & Screenshots
Showcase your product UI in context. AI models hallucinate UI — don't use them for this.
1. **Capture real screenshots** of your product at 2x resolution
2. **Frame in device mockups** — use browser frame, laptop, or phone templates
3. **Add context** — callout arrows, feature labels, before/after comparisons
4. **Annotate with code** — Hyperframes or HTML/CSS for programmatic overlays
**Tools:** Browser DevTools (screenshot), Shottr (Mac), CleanShot X, or `screencapture` CLI.
### Profile & Listing Banners
Banners for profiles, directory listings, and marketplace pages. Often the first visual impression.
| Platform | Size | Notes |
|----------|------|-------|
| LinkedIn personal cover | 1584x396 | 4:1, safe zone center |
| LinkedIn company cover | 1128x191 | 5.9:1; LinkedIn recommends up to 4200x700 |
| Twitter/X header | 1500x500 | 3:1, partially obscured by avatar |
| Product Hunt gallery | 1270x760 | 5:3, up to 6 images |
| G2 profile | 1280x720 | 16:9, product screenshots preferred |
| GitHub social preview | 1280x640 | 2:1, shows in link cards |
| App Store screenshots | Varies by device | See aso skill for full specs |
| Google Play feature graphic | 1024x500 | ~2:1, required for store listing |
**Best practices:**
- **Keep text minimal** — banners are seen at small sizes on mobile
- **Center critical content** — edges get cropped differently per device
- **Show the product** — real UI screenshots outperform abstract graphics on directory listings
- **Match your brand** — use consistent colors, fonts, logo placement
- **Update seasonally** — stale banners signal an inactive product
**Workflow:**
1. Pick the platform(s) and note exact dimensions
2. For directories (Product Hunt, G2): use real product screenshots with light annotation
3. For profiles (LinkedIn, Twitter): use brand colors + tagline + optional product shot
4. Generate with Canva/Figma templates or Ideogram (if text-heavy)
5. Test at actual display size — zoom out to check readability
### Brand Assets
Logos, icons, and illustrations. AI generation has limits here.
| Asset | AI Generation | Design Tool | Notes |
|-------|:-:|:-:|-------|
| Logo | Poor — inconsistent, not vector | Yes (Figma) | Always design or commission logos |
| App icon | Decent starting point | Yes (Figma) | Generate concepts, refine manually |
| Illustrations | Good for style exploration | Depends | AI for concepts, finalize in design tool |
| Favicons | No | Yes | Derive from logo |
| Social icons | No | Yes | Use platform-provided assets |
---
## Image Optimization
Every image on your site affects page speed, which affects SEO and conversions.
### Format Guide
| Format | Best For | Compression | Browser Support |
|--------|----------|-------------|:---:|
| **WebP** | Photos, graphics — default choice | Lossy + lossless | ~96% |
| **AVIF** | Highest compression, newest | Better than WebP | ~94% |
| **JPEG** | Fallback for older browsers | Lossy only | Universal |
| **PNG** | Transparency, screenshots | Lossless | Universal |
| **SVG** | Logos, icons, illustrations | Vector (scales) | Universal |
### Optimization Checklist
- [ ] **Serve WebP** with JPEG/PNG fallback (`<picture>` element or CDN auto-format)
- [ ] **Resize to display size** — don't serve 4000px images in 800px containers
- [ ] **Compress** — target quality 75-85% for photos, near-lossless for screenshots
- [ ] **Lazy load** below-the-fold images (`loading="lazy"`)
- [ ] **Set explicit dimensions**`width` and `height` attributes prevent layout shift (CLS)
- [ ] **Use a CDN** with auto-optimization (Cloudflare, Vercel, Imgix, Cloudinary)
- [ ] **Add alt text** — descriptive, keyword-relevant, not stuffed
### Quick Optimization Commands
```bash
# Convert to WebP (using cwebp)
cwebp -q 80 input.png -o output.webp
# Batch convert with ImageMagick
mogrify -format webp -quality 80 *.png
# Optimize JPEG (using jpegoptim)
jpegoptim --max=80 --strip-all *.jpg
# Check image sizes on a page
curl -s https://yoursite.com | grep -oP 'src="[^"]+\.(jpg|png|webp)"' | head -20
```
---
## OG & Social Preview Images
The image that appears when your URL is shared on social media, Slack, Discord, etc.
### Required Meta Tags
```html
<meta property="og:image" content="https://yoursite.com/og/page-name.jpg" />
<meta property="og:image:width" content="1200" />
<meta property="og:image:height" content="630" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:image" content="https://yoursite.com/og/page-name.jpg" />
```
### Dynamic OG Images
Generate OG images programmatically for pages with dynamic content (blog posts, user profiles):
- **Vercel OG** (`@vercel/og`) — generates images at the edge using JSX
- **Satori** — converts HTML/CSS to SVG (powers Vercel OG)
- **Cloudinary** — URL-based text overlay on template images
**Best for programmatic SEO:** Generate unique OG images per page using templates + dynamic data.
---
## Common Mistakes
1. **Using AI for product UI screenshots** — models hallucinate interfaces; capture real screenshots
2. **Skipping image optimization** — unoptimized images are the #1 page speed killer
3. **No OG image** — shared links look broken without a preview image
4. **Wrong aspect ratio** — always check platform specs before generating
5. **Text-heavy images without Ideogram** — most AI models butcher text; use Ideogram or add text in post
6. **Generating without style direction** — "photorealistic," "flat illustration," "3D render" drastically changes output
7. **Inconsistent brand visuals** — use Flux multi-reference or design templates for consistency
8. **Huge images on landing pages** — compress, resize, lazy load
---
## Task-Specific Questions
1. What type of image do you need? (Blog hero, social graphic, mockup, banner, brand asset)
2. What platform or placement? (This determines dimensions)
3. Do you have brand assets to match? (Colors, fonts, logo, style guide)
4. Is this a one-off or a repeatable template?
5. Do you have API keys for any image generation tools?
6. Does this need to be optimized for web performance?
---
## Related Skills
- **ad-creative**: For paid ad image creative, platform-specific ad specs, and scaled ad production
- **video**: For AI video production and programmatic video
- **social**: For what to post and content strategy
- **cro**: For image placement and conversion optimization on landing pages
- **seo-audit**: For image SEO (alt text, file names, lazy loading)
- **aso**: For app store screenshot specs and optimization
- **directory-submissions**: For Product Hunt gallery images and directory listing visuals
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@@ -0,0 +1,89 @@
{
"skill_name": "image",
"evals": [
{
"id": 1,
"prompt": "I need a hero image for a blog post about email deliverability. Make it visually striking.",
"expected_output": "Should check for product-marketing.md first. Should recommend AI generation as the approach for a one-off blog hero. Should propose a visual metaphor concept that represents email deliverability (e.g., letters being sorted through a maze, signals breaking through a wall, an inbox glow). Should specify 1200x630 (works for both hero and OG image). Should recommend Flux or Gemini for photorealistic, or Ideogram if text in image is needed. Should provide a prompt following Subject + Setting + Style + Lighting + Composition + Technical pattern. Should mention WebP optimization (target <200KB, JPEG fallback). Should not suggest using AI for product UI screenshots.",
"assertions": [
"Checks for product-marketing.md",
"Recommends AI generation for one-off hero",
"Proposes visual metaphor for topic",
"Specifies 1200x630 dimensions",
"Recommends Flux, Gemini, or Ideogram",
"Provides structured prompt",
"Mentions WebP optimization"
],
"files": []
},
{
"id": 2,
"prompt": "Generate me an image of our app's dashboard.",
"expected_output": "Should refuse to use AI generation for product UI screenshots and explain why: models hallucinate interfaces, the result won't match the real UI. Should recommend the Product Mockups & Screenshots workflow: capture real screenshots of the product at 2x resolution, frame in device mockups (browser frame, laptop, phone), add callout arrows or feature labels for context, programmatically overlay annotations with Hyperframes or HTML/CSS. Should suggest tools: browser DevTools screenshot, Shottr, CleanShot X, or screencapture CLI. Should warn this is Common Mistake #1: using AI for product UI.",
"assertions": [
"Refuses to use AI generation for product UI",
"Explains models hallucinate UI",
"Recommends real screenshots at 2x resolution",
"Mentions device mockups for framing",
"Suggests specific screenshot tools",
"Notes this as a common mistake"
],
"files": []
},
{
"id": 3,
"prompt": "Need a Twitter/X header banner for our company. We just want to show our product and tagline.",
"expected_output": "Should specify Twitter/X header dimensions: 1500x500 (3:1 aspect ratio). Should warn the banner is partially obscured by the avatar — center critical content and avoid important elements near the avatar overlap area. Should recommend keeping text minimal (seen at small sizes on mobile). Should suggest design tools (Canva or Figma) over AI generation since brand consistency matters. Should recommend Ideogram if heavy text rendering is needed since other AI models butcher text. Should suggest using brand colors + tagline + optional product shot. Should remind to test at actual display size by zooming out.",
"assertions": [
"Specifies 1500x500 dimensions",
"Warns about avatar overlap area",
"Recommends minimal text",
"Suggests Canva or Figma over AI",
"Mentions Ideogram for text-heavy designs",
"Recommends testing at display size"
],
"files": []
},
{
"id": 4,
"prompt": "I need 5 versions of the same hero image for Twitter, LinkedIn, Instagram feed, Instagram stories, and Facebook. What's the fastest way?",
"expected_output": "Should recommend the Canva Magic Resize workflow over generating 5 separate images. Should list dimensions: Twitter/X 1200x675 (16:9), LinkedIn 1200x627 (1.91:1), Instagram feed 1080x1080 (1:1 — note 1080x1350 / 4:5 also strong), Instagram Stories 1080x1920 (9:16), Facebook 1200x630 (1.91:1). Should explain workflow: create the hero concept at highest resolution needed, use Canva Magic Resize for variants, manually crop if needed, add text overlays programmatically if required (Ideogram or post-processing), export at each platform's specs. Should note this is what Canva Magic Resize is specifically designed for.",
"assertions": [
"Recommends Canva Magic Resize",
"Lists dimensions for all 5 platforms",
"Notes Instagram 4:5 variant",
"Suggests programmatic text overlays for variants",
"Says start at highest resolution"
],
"files": []
},
{
"id": 5,
"prompt": "What's the best image format for our website?",
"expected_output": "Should recommend WebP as the default choice with JPEG/PNG fallback. Should explain the format guide: WebP for photos and graphics (lossy + lossless, ~96% browser support), AVIF for highest compression (~94% support, newer), JPEG as universal fallback (lossy only), PNG for transparency and screenshots (lossless, universal), SVG for logos and icons (vector, scales, universal). Should reference the optimization checklist: resize to display size, compress (target quality 75-85% for photos), lazy load below-the-fold, set explicit width/height attributes (prevents CLS), use a CDN with auto-optimization (Cloudflare, Vercel, Imgix, Cloudinary), add descriptive alt text. Should provide a quick cwebp or mogrify command. Should note skipping image optimization is the #1 page speed killer.",
"assertions": [
"Recommends WebP as default",
"Mentions JPEG/PNG fallback strategy",
"Lists optimization checklist items",
"Mentions lazy loading",
"Mentions explicit dimensions to prevent CLS",
"Provides command line tool example"
],
"files": []
},
{
"id": 6,
"prompt": "We're a SaaS that just launched. Need OG images for every blog post we ship — about 2 per week. Doing it manually is killing us.",
"expected_output": "Should recommend Dynamic OG Images programmatic approach. Should explain options: Vercel OG (@vercel/og) generates images at the edge using JSX — best for programmatic SEO since you can dynamically pull post title, author, image into a template; Satori converts HTML/CSS to SVG (powers Vercel OG); Cloudinary for URL-based text overlay on template images. Should explain you build the template once with your branding then it generates unique OG images per page using post metadata. Should mention required meta tags: og:image (1200x630), og:image:width, og:image:height, twitter:card summary_large_image, twitter:image. Should note this is best for programmatic SEO.",
"assertions": [
"Recommends programmatic OG image generation",
"Names Vercel OG, Satori, or Cloudinary",
"Mentions template + dynamic data approach",
"Lists required og:image meta tags",
"Specifies 1200x630 dimensions",
"Notes this is best for high-volume blogs"
],
"files": []
}
]
}
@@ -0,0 +1,229 @@
# AI Image Prompting Guide
How to write effective prompts for AI image generation models (Gemini/Nano Banana, Flux, Ideogram, DALL-E, Midjourney).
---
## Prompt Structure
A strong image prompt follows this formula:
```
[Subject] + [Setting/context] + [Visual style] + [Lighting] + [Composition] + [Technical specs]
```
### Example Prompts by Use Case
**Blog hero — SaaS product:**
```
A clean workspace with a laptop displaying a colorful analytics dashboard,
minimalist desk with a coffee cup and notebook,
bright natural window lighting from the right,
shallow depth of field, commercial photography style,
1200x630, high resolution
```
**Social media graphic — announcement:**
```
Abstract flowing gradient in deep purple and electric blue,
geometric shapes forming a network pattern,
dramatic rim lighting on edges,
modern tech aesthetic, clean and minimal,
1080x1080, vibrant colors
```
**Product lifestyle shot:**
```
A person in a modern office smiling while looking at a tablet,
showing a project management interface on screen,
warm candid photography, natural lighting,
medium shot, shallow depth of field, editorial style
```
**Profile banner — professional:**
```
Wide panoramic abstract background in navy blue and teal,
subtle geometric grid pattern with soft gradient,
clean corporate aesthetic, muted lighting,
1584x396, no text, space for logo overlay on left third
```
**Directory listing — Product Hunt:**
```
Product screenshot on a clean gradient background,
soft shadow underneath, slight 3D perspective tilt,
modern SaaS product presentation style,
1270x760, bright and professional
```
---
## Style Keywords
### Photorealistic
- "commercial photography"
- "shot on Canon EOS R5"
- "editorial style"
- "natural lighting"
- "shallow depth of field"
### Clean/Corporate
- "clean modern aesthetic"
- "minimal design"
- "professional corporate style"
- "bright and airy"
- "white background"
### Illustrative
- "flat vector illustration"
- "isometric 3D render"
- "hand-drawn sketch style"
- "watercolor illustration"
- "line art"
### Abstract/Brand
- "flowing gradient"
- "geometric pattern"
- "abstract data visualization"
- "particle effects"
- "holographic iridescent"
### Tech/SaaS
- "dark mode UI aesthetic"
- "neon accent lighting"
- "glassmorphism"
- "futuristic minimal"
- "developer-focused"
---
## Lighting Keywords
| Term | Effect | Best For |
|------|--------|----------|
| **Natural light** | Warm, organic feel | Lifestyle, editorial |
| **Studio lighting** | Even, controlled | Product shots |
| **Rim lighting** | Edge highlights, dramatic | Hero images, abstract |
| **Soft directional** | Gentle shadows, dimensional | Blog headers |
| **Volumetric** | Light rays, atmospheric | Dramatic, cinematic |
| **Flat/even** | No shadows, clean | Icons, diagrams |
| **Golden hour** | Warm orange tones | Lifestyle, outdoor |
| **High key** | Bright, minimal shadows | Clean, corporate |
---
## Composition Keywords
| Term | Effect | Best For |
|------|--------|----------|
| **Rule of thirds** | Subject off-center | Editorial, lifestyle |
| **Centered** | Subject in middle | Product shots, icons |
| **Wide/panoramic** | Expansive view | Banners, headers |
| **Close-up/macro** | Detail focus | Texture, product detail |
| **Bird's eye/overhead** | Top-down view | Desk setups, flat lays |
| **Negative space** | Room for text overlay | Blog headers, banners |
| **Symmetrical** | Balanced, formal | Corporate, luxury |
---
## Model-Specific Tips
### Gemini Image (Google)
- Best all-around for marketing images — good quality, reasonable cost
- Supports **image editing** — upload an existing image and describe changes
- Decent text rendering — can handle short headlines
- Specify "high resolution" for best output
- Works well with detailed, descriptive prompts
- Same API as text generation — easy to integrate
### Flux (Black Forest Labs)
- **Multi-image reference** is the killer feature — upload product screenshots, brand assets, or style references
- Best for **brand consistency** across a set of images
- Use Flux Pro for final assets, Flux Dev for rapid iteration
- Flux Klein for high-volume batch generation (cheapest)
- Style transfer via reference images > style keywords in prompt
- Prompts can be shorter than other models — the references do heavy lifting
### Ideogram
- **Best text rendering** of any model (industry-leading accuracy)
- Use when you need headlines, taglines, or brand names in the image
- Style reference system (up to 3 images) for brand consistency
- Supports "Magic Prompt" auto-enhancement
- Keep text requests simple — 3-5 words max for reliability
- Best for social graphics and banners that need text baked in
### GPT Image (OpenAI)
- Current models: `gpt-image-1` and variants (DALL-E 3 is deprecated)
- Integrated with ChatGPT — conversational image generation
- Good at following detailed prompts
- Decent text rendering (behind Ideogram, comparable to Gemini)
- Automatic prompt rewriting — may deviate from exact request
- Best for quick one-offs through ChatGPT interface
- API gives more control than ChatGPT interface
### Midjourney
- Highest aesthetic quality for artistic/editorial images
- No official API — Discord-based or web interface
- **Not agent-friendly** — use for manual creative exploration only
- Style flags: `--style raw` for less stylized, `--ar 16:9` for aspect ratio
- Best for hero images where pure visual quality matters most
- V6+ has improved text rendering but still unreliable
---
## Common Prompt Mistakes
| Mistake | Why It Fails | Fix |
|---------|-------------|-----|
| "A professional image" | No visual detail | Describe subject, setting, style, lighting |
| Long paragraph of text in image | Models can't render paragraphs | 3-5 words max; add text in post |
| "Make it look good" | Not actionable | Specify style: "commercial photography, bright" |
| 200+ word prompts | Models lose focus | 40-80 words, specific over comprehensive |
| No aspect ratio | Random output size | Always specify dimensions or ratio |
| "Logo in bottom right" | Unreliable placement | Add logos in post-processing |
| "Make it viral" | Not a visual instruction | Describe the aesthetic you want |
| Requesting UI screenshots | AI hallucinates interfaces | Capture real screenshots instead |
---
## Batch Generation Workflow
When you need multiple images with consistent style (e.g., a blog series or social campaign):
1. **Generate 3-4 test images** with different style prompts
2. **Pick the winning style** based on brand fit
3. **Save the exact prompt** as your template
4. **Use Flux multi-reference** — upload the winning image as a style reference
5. **Batch generate** variations with the same style, different subjects
6. **Post-process** — add text overlays, logos, crop to platform sizes
---
## Aspect Ratios Quick Reference
| Use Case | Ratio | Pixels | Notes |
|----------|-------|--------|-------|
| Blog hero / OG image | 1.91:1 | 1200x630 | Universal web standard |
| Full-width hero | 16:9 | 1920x1080 | Website headers |
| Instagram Feed | 1:1 | 1080x1080 | Square |
| Instagram Feed (tall) | 4:5 | 1080x1350 | More screen real estate |
| Stories / Reels | 9:16 | 1080x1920 | Vertical full screen |
| LinkedIn cover | 4:1 | 1584x396 | Personal profile |
| Twitter/X header | 3:1 | 1500x500 | Profile banner |
| Product Hunt gallery | 5:3 | 1270x760 | Launch page |
| GitHub social preview | 2:1 | 1280x640 | Repo link card |
---
## Cost Optimization
- **Iterate at low quality first** — use Flux Dev or Gemini Flash for drafts, upgrade for finals
- **Use references over long prompts** — Flux multi-reference produces more consistent results with fewer retries
- **Batch similar requests** — generate all blog headers in one session with the same style
- **Cache and reuse** — abstract backgrounds, patterns, and textures can be reused across multiple images
- **Post-process instead of re-generate** — crop, overlay text, and adjust color in code rather than generating new images
@@ -1,7 +1,8 @@
---
name: launch-strategy
version: 1.0.0
description: "When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' or 'product update.' This skill covers phased launches, channel strategy, and ongoing launch momentum."
name: launch
description: "When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'how do I launch this,' 'launch checklist,' 'GTM plan,' or 'we're about to ship.' Use this whenever someone is preparing to release something publicly. For ongoing marketing after launch, see marketing-ideas."
metadata:
version: 2.0.0
---
# Launch Strategy
@@ -11,7 +12,7 @@ You are an expert in SaaS product launches and feature announcements. Your goal
## Before Starting
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
---
@@ -92,7 +93,7 @@ Tap into someone else's audience to shortcut the hardest part—getting noticed.
1. List industry leaders your audience follows
2. Pitch win-win collaborations
3. Use tools like SparkToro or Listen Notes to find audience overlap
4. Set up affiliate/referral incentives
4. Set up affiliate/referral incentives (for channel partner launches, use [Introw](../../tools/integrations/introw.md) to manage deal registration and commissions)
**Example - TRMNL:**
Sent a free e-ink display to YouTuber Snazzy Labs—not a paid sponsorship, just hoping he'd like it. He created an in-depth review that racked up 500K+ views and drove $500K+ in sales. They also set up an affiliate program for ongoing promotion.
@@ -345,7 +346,8 @@ Even small changelog updates remind customers your product is evolving. This bui
## Related Skills
- **marketing-ideas**: For additional launch tactics (#22 Product Hunt, #23 Early Access Referrals)
- **email-sequence**: For launch and onboarding email sequences
- **page-cro**: For optimizing launch landing pages
- **emails**: For launch and onboarding email sequences
- **cro**: For optimizing launch landing pages
- **marketing-psychology**: For psychology behind waitlists and exclusivity
- **programmatic-seo**: For comparison pages mentioned in post-launch
- **sales-enablement**: For launch sales collateral and enablement materials

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