Corey Haines
30f9b9a729
* 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>
4.6 KiB
4.6 KiB
SparkToro
Audience research platform that reveals what your target audience reads, watches, listens to, follows, and searches for — using clickstream data, Google search data, and public social profiles.
Capabilities
| Integration | Available | Notes |
|---|---|---|
| API | - | Not yet public (coming soon) |
| MCP | - | Not available |
| CLI | - | Not available |
| SDK | - | Not available |
SparkToro is primarily a web-based research tool. No public API, CLI, or SDK is currently available. Use the web interface at https://sparktoro.com for all queries.
Authentication
- Type: Account login at https://sparktoro.com
- Free tier: 5 reports/month with limited results
- Paid plans: $50–$300/month with expanded results and exports
Pricing Tiers
| Plan | Price | Reports/Month | Users | Result Depth |
|---|---|---|---|---|
| Free | $0 | 5 | 1 | Top 5–10 results |
| Personal | $50/mo | 50 | 1 | Top 50 results |
| Business | $150/mo | 500 | 10 | Top 150 results, contact data, AI advice |
| Agency | $300/mo | Unlimited | 100 | Top 300 results, full CSV export |
What SparkToro Reveals
Audience Behaviors
- Websites they visit and engage with
- Podcasts they listen to
- YouTube channels they watch
- Subreddits they participate in
- Social accounts they follow
- Search keywords they use on Google
- AI prompt topics they ask ChatGPT, Claude, Gemini
Audience Demographics
- Gender, age ranges
- Job titles and roles
- Industries and skills
- Education levels
- Geographic distribution
- Interests and affinities
Audience Characteristics
- Bio descriptions and self-identifiers
- Language patterns in posts and comments
- Preferred social networks and platforms
- E-commerce platforms they use
Common Agent Operations
Since SparkToro has no API, these are the research workflows agents should guide users through.
Audience Profile Research
Query SparkToro with phrases like:
- "People who follow @competitor" — reveals shared audience behaviors
- "People who visit competitor.com" — shows what else they consume
- "People who frequently talk about [topic]" — finds audience affinities
- "People whose bio contains [job title]" — profiles a role-based segment
Finding Where Your ICP Spends Time
- Search for your ICP by description, competitor followers, or website visitors
- Extract: top websites visited, podcasts listened to, YouTube channels watched, subreddits
- Use this to prioritize: guest podcast appearances, content partnerships, ad placements, community participation
Discovering Content Topics
- Search your audience segment
- Review the "Search Keywords" tab — what they Google
- Review the "AI Prompt Topics" tab — what they ask AI tools
- Use these to inform content strategy and SEO keyword targeting
Building Data-Backed Personas
- Run 3–5 queries for different segments of your audience
- Compare demographic breakdowns across segments
- Note which behaviors and affinities are shared vs. unique per segment
- Export data and build personas grounded in observed behavior, not assumptions
Competitive Audience Analysis
- Search "People who follow @competitor" or "People who visit competitor.com"
- Compare against your own audience profile
- Identify: channels they use that you don't, content they consume that you don't produce, influencers they follow that you haven't engaged
Data Sources
SparkToro aggregates from three sources:
- Clickstream data — anonymized browsing behavior
- Google search results — search keyword patterns
- Public social profiles — bios, follows, engagement
When to Use
- Identifying where your ICP spends time online (podcasts, YouTube, subreddits, websites)
- Finding influencers and social accounts your audience follows
- Discovering content topics and search keywords your audience cares about
- Building data-backed personas instead of assumption-based ones
- Planning podcast guest appearances, sponsorships, or content partnerships
- Understanding what your competitors' audience looks like
- Validating audience assumptions with behavioral data
- Discovering AI prompt topics your audience uses
Limitations
- No public API — all research is done through the web interface
- Free tier limited to 5 reports/month with shallow results
- Data skews toward English-language, US-centric audiences
- Clickstream data may not capture all niche audiences
- Cannot track individual users — all data is aggregated and anonymized
Relevant Skills
- customer-research
- content-strategy
- competitors
- ads
- social
- cold-email