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>
This commit is contained in:
Corey Haines
2026-05-13 22:05:15 -07:00
committed by GitHub
parent f3990f7f99
commit 30f9b9a729
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# Pricing Research Methods
## Contents
- Van Westendorp Price Sensitivity Meter (The Four Questions, How to Analyze, Survey Tips, Sample Output)
- MaxDiff Analysis (How It Works, Example Survey Question, Analyzing Results, Using MaxDiff for Packaging)
- Willingness to Pay Surveys
- Usage-Value Correlation Analysis
## Van Westendorp Price Sensitivity Meter
The Van Westendorp survey identifies the acceptable price range for your product.
### The Four Questions
Ask each respondent:
1. "At what price would you consider [product] to be so expensive that you would not consider buying it?" (Too expensive)
2. "At what price would you consider [product] to be priced so low that you would question its quality?" (Too cheap)
3. "At what price would you consider [product] to be starting to get expensive, but you still might consider it?" (Expensive/high side)
4. "At what price would you consider [product] to be a bargain—a great buy for the money?" (Cheap/good value)
### How to Analyze
1. Plot cumulative distributions for each question
2. Find the intersections:
- **Point of Marginal Cheapness (PMC):** "Too cheap" crosses "Expensive"
- **Point of Marginal Expensiveness (PME):** "Too expensive" crosses "Cheap"
- **Optimal Price Point (OPP):** "Too cheap" crosses "Too expensive"
- **Indifference Price Point (IDP):** "Expensive" crosses "Cheap"
**The acceptable price range:** PMC to PME
**Optimal pricing zone:** Between OPP and IDP
### Survey Tips
- Need 100-300 respondents for reliable data
- Segment by persona (different willingness to pay)
- Use realistic product descriptions
- Consider adding purchase intent questions
### Sample Output
```
Price Sensitivity Analysis Results:
─────────────────────────────────
Point of Marginal Cheapness: $29/mo
Optimal Price Point: $49/mo
Indifference Price Point: $59/mo
Point of Marginal Expensiveness: $79/mo
Recommended range: $49-59/mo
Current price: $39/mo (below optimal)
Opportunity: 25-50% price increase without significant demand impact
```
---
## MaxDiff Analysis (Best-Worst Scaling)
MaxDiff identifies which features customers value most, informing packaging decisions.
### How It Works
1. List 8-15 features you could include
2. Show respondents sets of 4-5 features at a time
3. Ask: "Which is MOST important? Which is LEAST important?"
4. Repeat across multiple sets until all features compared
5. Statistical analysis produces importance scores
### Example Survey Question
```
Which feature is MOST important to you?
Which feature is LEAST important to you?
□ Unlimited projects
□ Custom branding
□ Priority support
□ API access
□ Advanced analytics
```
### Analyzing Results
Features are ranked by utility score:
- High utility = Must-have (include in base tier)
- Medium utility = Differentiator (use for tier separation)
- Low utility = Nice-to-have (premium tier or cut)
### Using MaxDiff for Packaging
| Utility Score | Packaging Decision |
|---------------|-------------------|
| Top 20% | Include in all tiers (table stakes) |
| 20-50% | Use to differentiate tiers |
| 50-80% | Higher tiers only |
| Bottom 20% | Consider cutting or premium add-on |
---
## Willingness to Pay Surveys
**Direct method (simple but biased):**
"How much would you pay for [product]?"
**Better: Gabor-Granger method:**
"Would you buy [product] at [$X]?" (Yes/No)
Vary price across respondents to build demand curve.
**Even better: Conjoint analysis:**
Show product bundles at different prices
Respondents choose preferred option
Statistical analysis reveals price sensitivity per feature
---
## Usage-Value Correlation Analysis
### 1. Instrument usage data
Track how customers use your product:
- Feature usage frequency
- Volume metrics (users, records, API calls)
- Outcome metrics (revenue generated, time saved)
### 2. Correlate with customer success
- Which usage patterns predict retention?
- Which usage patterns predict expansion?
- Which customers pay the most, and why?
### 3. Identify value thresholds
- At what usage level do customers "get it"?
- At what usage level do they expand?
- At what usage level should price increase?
### Example Analysis
```
Usage-Value Correlation Analysis:
─────────────────────────────────
Segment: High-LTV customers (>$10k ARR)
Average monthly active users: 15
Average projects: 8
Average integrations: 4
Segment: Churned customers
Average monthly active users: 3
Average projects: 2
Average integrations: 0
Insight: Value correlates with team adoption (users)
and depth of use (integrations)
Recommendation: Price per user, gate integrations to higher tiers
```
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# Tier Structure and Packaging
## Contents
- How Many Tiers?
- Good-Better-Best Framework
- Tier Differentiation Strategies
- Example Tier Structure
- Packaging for Personas (Identifying Pricing Personas, Persona-Based Packaging)
- Freemium vs. Free Trial (When to Use Freemium, When to Use Free Trial, Hybrid Approaches)
- Enterprise Pricing (When to Add Custom Pricing, Enterprise Tier Elements, Enterprise Pricing Strategies)
## How Many Tiers?
**2 tiers:** Simple, clear choice
- Works for: Clear SMB vs. Enterprise split
- Risk: May leave money on table
**3 tiers:** Industry standard
- Good tier = Entry point
- Better tier = Recommended (anchor to best)
- Best tier = High-value customers
**4+ tiers:** More granularity
- Works for: Wide range of customer sizes
- Risk: Decision paralysis, complexity
---
## Good-Better-Best Framework
**Good tier (Entry):**
- Purpose: Remove barriers to entry
- Includes: Core features, limited usage
- Price: Low, accessible
- Target: Small teams, try before you buy
**Better tier (Recommended):**
- Purpose: Where most customers land
- Includes: Full features, reasonable limits
- Price: Your "anchor" price
- Target: Growing teams, serious users
**Best tier (Premium):**
- Purpose: Capture high-value customers
- Includes: Everything, advanced features, higher limits
- Price: Premium (often 2-3x "Better")
- Target: Larger teams, power users, enterprises
---
## Tier Differentiation Strategies
**Feature gating:**
- Basic features in all tiers
- Advanced features in higher tiers
- Works when features have clear value differences
**Usage limits:**
- Same features, different limits
- More users, storage, API calls at higher tiers
- Works when value scales with usage
**Support level:**
- Email support → Priority support → Dedicated success
- Works for products with implementation complexity
**Access and customization:**
- API access, SSO, custom branding
- Works for enterprise differentiation
---
## Example Tier Structure
```
┌────────────────┬─────────────────┬─────────────────┬─────────────────┐
│ │ Starter │ Pro │ Business │
│ │ $29/mo │ $79/mo │ $199/mo │
├────────────────┼─────────────────┼─────────────────┼─────────────────┤
│ Users │ Up to 5 │ Up to 20 │ Unlimited │
│ Projects │ 10 │ Unlimited │ Unlimited │
│ Storage │ 5 GB │ 50 GB │ 500 GB │
│ Integrations │ 3 │ 10 │ Unlimited │
│ Analytics │ Basic │ Advanced │ Custom │
│ Support │ Email │ Priority │ Dedicated │
│ API Access │ ✗ │ ✓ │ ✓ │
│ SSO │ ✗ │ ✗ │ ✓ │
│ Audit logs │ ✗ │ ✗ │ ✓ │
└────────────────┴─────────────────┴─────────────────┴─────────────────┘
```
---
## Packaging for Personas
### Identifying Pricing Personas
Different customers have different:
- Willingness to pay
- Feature needs
- Buying processes
- Value perception
**Segment by:**
- Company size (solopreneur → SMB → enterprise)
- Use case (marketing vs. sales vs. support)
- Sophistication (beginner → power user)
- Industry (different budget norms)
### Persona-Based Packaging
**Step 1: Define personas**
| Persona | Size | Needs | WTP | Example |
|---------|------|-------|-----|---------|
| Freelancer | 1 person | Basic features | Low | $19/mo |
| Small Team | 2-10 | Collaboration | Medium | $49/mo |
| Growing Co | 10-50 | Scale, integrations | Higher | $149/mo |
| Enterprise | 50+ | Security, support | High | Custom |
**Step 2: Map features to personas**
| Feature | Freelancer | Small Team | Growing | Enterprise |
|---------|------------|------------|---------|------------|
| Core features | ✓ | ✓ | ✓ | ✓ |
| Collaboration | — | ✓ | ✓ | ✓ |
| Integrations | — | Limited | Full | Full |
| API access | — | — | ✓ | ✓ |
| SSO/SAML | — | — | — | ✓ |
| Audit logs | — | — | — | ✓ |
| Custom contract | — | — | — | ✓ |
**Step 3: Price to value for each persona**
- Research willingness to pay per segment
- Set prices that capture value without blocking adoption
- Consider segment-specific landing pages
---
## Freemium vs. Free Trial
### When to Use Freemium
**Freemium works when:**
- Product has viral/network effects
- Free users provide value (content, data, referrals)
- Large market where % conversion drives volume
- Low marginal cost to serve free users
- Clear feature/usage limits for upgrade trigger
**Freemium risks:**
- Free users may never convert
- Devalues product perception
- Support costs for non-paying users
- Harder to raise prices later
### When to Use Free Trial
**Free trial works when:**
- Product needs time to demonstrate value
- Onboarding/setup investment required
- B2B with buying committees
- Higher price points
- Product is "sticky" once configured
**Trial best practices:**
- 7-14 days for simple products
- 14-30 days for complex products
- Full access (not feature-limited)
- Clear countdown and reminders
- Credit card optional vs. required trade-off
**Credit card upfront:**
- Higher trial-to-paid conversion (40-50% vs. 15-25%)
- Lower trial volume
- Better qualified leads
### Hybrid Approaches
**Freemium + Trial:**
- Free tier with limited features
- Trial of premium features
- Example: Zoom (free 40-min, trial of Pro)
**Reverse trial:**
- Start with full access
- After trial, downgrade to free tier
- Example: See premium value, live with limitations until ready
---
## Enterprise Pricing
### When to Add Custom Pricing
Add "Contact Sales" when:
- Deal sizes exceed $10k+ ARR
- Customers need custom contracts
- Implementation/onboarding required
- Security/compliance requirements
- Procurement processes involved
### Enterprise Tier Elements
**Table stakes:**
- SSO/SAML
- Audit logs
- Admin controls
- Uptime SLA
- Security certifications
**Value-adds:**
- Dedicated support/success
- Custom onboarding
- Training sessions
- Custom integrations
- Priority roadmap input
### Enterprise Pricing Strategies
**Per-seat at scale:**
- Volume discounts for large teams
- Example: $15/user (standard) → $10/user (100+)
**Platform fee + usage:**
- Base fee for access
- Usage-based above thresholds
- Example: $500/mo base + $0.01 per API call
**Value-based contracts:**
- Price tied to customer's revenue/outcomes
- Example: % of transactions, revenue share