Growth embedded
Skill newmindsgroup/ai-agent-skills-library/dist/skills/growth-embedded
Shared library of AI agent skills β works across Claude Code, Cursor, Codex, Windsurf, OpenCode, and Google Antigravity via a single universal installer.
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Builds growth loops into products from day 1 using YC playbook (Gustaf Alstromer), Casey Winters growth frameworks, and Elena Verna's retention-first approach. Use when adding viral mechanics, instrumenting analytics, creating referral systems, or optimizing for retention over acquisition.
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SKILL.md
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Growth-First Development
When This Skill Activates
Claude uses this skill when:
- Building features that could have viral mechanics
- Adding referral or sharing functionality
- Implementing analytics and tracking
- Designing for network effects
- Optimizing for activation and retention
Core Frameworks
1. YC Growth Playbook (Source: Gustaf Alstromer, Partner at YC)
The Three Growth Levers:
π Acquisition - How users discover you π― Activation - First value experience π Retention - Users coming back
Priority Order:
"Retention first, activation second, acquisition last. Don't acquire users you can't retain."
Growth Loops:
User gets value β Shares with others β New users β Cycle repeats
Examples:
- Dropbox: More storage for referrals
- Superhuman: Invite-only creates FOMO
- Notion: Shared docs bring collaborators
2. Network Effects Patterns
Types:
Direct Network Effects:
- More users = more value for all
- Example: Social networks, marketplaces
Data Network Effects:
- More usage = smarter product
- Example: Recommendations, AI features
Platform Network Effects:
- More developers = more integrations
- Example: Shopify apps, Zapier
3. Referral Mechanics
Double-Sided Incentive:
Referrer gets: [benefit]
Referred gets: [benefit]
Both win: [shared value]
Tracking:
// Referral flow
generateReferralLink(user) {
const link = `app.com/ref/${user.id}`;
track('referral_link_generated', { userId: user.id });
return link;
}
// Attribution
onSignup(referralCode) {
const referrer = getUserByRefCode(referralCode);
track('referral_signup', {
referrer: referrer.id,
referred: newUser.id
});
giveReward(referrer);
giveReward(newUser);
}
4. Activation Optimization
Time to Value:
"Get users to 'aha moment' as fast as possible"
Activation Milestones:
- Signup complete
- Setup complete
- First value delivered
- Habit formed
Measure:
Activation Rate = (Users who reached value) / (Total signups)
Decision Tree: Growth Feature
NEW FEATURE
β
ββ Can users share this? ββββββYESβββ ADD SHARE FUNCTIONALITY
β NO β
β
ββ Creates network effects? βββYESβββ OPTIMIZE FOR VIRAL LOOPS
β NO β
β
ββ First-time experience? βββββYESβββ OPTIMIZE ACTIVATION
β NO β
β
ββ Repeat usage? ββββββββββββββYESβββ INSTRUMENT RETENTION TRACKING
β NO β
β
ββ STANDARD FEATURE ββββββββββββββββββββ
(Still track basic analytics)
Action Templates
Template 1: Referral System
# Referral Feature
## Incentive Structure
- **Referrer gets:** [reward]
- **Referred gets:** [reward]
- **Both benefit:** [shared value]
## Implementation
```javascript
// Generate referral link
const link = generateReferralLink(user);
// Track shares
track('referral_shared', {
channel: ['email', 'social', 'link'],
userId: user.id
});
// Track conversions
track('referral_converted', {
referrerId: referrer.id,
referredId: newUser.id,
timeToConversion: timestamp
});
// Reward both
giveReward(referrer, 'storage_upgrade');
giveReward(newUser, 'welcome_bonus');
Metrics
- Link generation rate
- Share rate
- Conversion rate (clicked β signed up)
- Activation rate (signed up β activated)
- K-factor (viral coefficient)
### Template 2: Activation Flow
```markdown
# Activation Optimization
## Time to Value
- Target: <[X] minutes
- Current: [Y] minutes
## Activation Funnel
1. **Signup** (100% of signups)
2. **Profile Setup** ([X]%)
3. **First Action** ([X]%)
4. **Aha Moment** ([X]%)
5. **Habit Formation** ([X]%)
## Drop-off Points
- Biggest drop-off: [identify]
- Why: [hypothesis]
- Fix: [solution]
## Implementation
```javascript
// Track activation milestones
track('activation_milestone', {
milestone: 'profile_complete',
userId: user.id,
timeToComplete: seconds
});
// Identify where users drop off
if (!completedSetup(user, 24hours)) {
sendReminderEmail(user);
}
### Template 3: Growth Analytics
```markdown
# Growth Metrics Dashboard
## Acquisition
- New signups: [X per day]
- Channels: [organic, referral, paid]
- Cost per acquisition: [$X]
## Activation
- Activation rate: [X]%
- Time to first value: [X] minutes
- Drop-off point: [step in funnel]
## Retention
- Day 1: [X]%
- Day 7: [X]%
- Day 30: [X]%
- Retention curve: [improving / flat / declining]
## Referral
- K-factor: [X] (viral coefficient)
- Referral rate: [X]% of users refer
- Conversion rate: [X]% of referred sign up
## Implementation
```javascript
// Track key events
track('user_activated', { userId, timestamp });
track('user_retained_day7', { userId, timestamp });
track('referral_sent', { referrerId, channel });
## Quick Reference
### π Growth Checklist
**Acquisition:**
- [ ] Referral system implemented
- [ ] Viral loops identified
- [ ] Share buttons prominent
**Activation:**
- [ ] Time to value < 5 minutes
- [ ] Onboarding optimized
- [ ] Aha moment clear
**Retention:**
- [ ] Usage triggers implemented
- [ ] Email/push notifications
- [ ] Habit formation designed
**Analytics:**
- [ ] Cohort retention tracking
- [ ] Funnel analysis
- [ ] Attribution tracking
---
## Real-World Examples
### Example 1: Dropbox Referral
**Incentive:**
- Referrer: +500MB storage
- Referred: +500MB storage
- Both win: More space
**Result:** 35% of signups from referrals
---
### Example 2: Superhuman Activation
**Time to Value:**
- < 2 minutes to first email sent
- Guided onboarding
- Keyboard shortcuts taught early
**Result:** 90%+ retention
---
### Example 3: Notion Network Effects
**Growth Loop:**
- User creates doc β Shares with team β Team joins Notion β Creates more docs β Cycle repeats
**Result:** Viral growth in teams
---
## Common Pitfalls
### β Mistake 1: Optimizing Acquisition Before Retention
**Problem:** Leaky bucket - users leave as fast as they join
**Fix:** Fix retention first, then acquire
### β Mistake 2: No Viral Mechanics
**Problem:** Every user requires paid acquisition
**Fix:** Build sharing into core features
### β Mistake 3: Slow Activation
**Problem:** Users drop off before seeing value
**Fix:** Get to aha moment in < 5 minutes
---
## Related Skills
- **zero-to-launch** - For building growth into MVP
- **metrics-frameworks** - For measuring growth metrics
- **exp-driven-dev** - For A/B testing growth features
- **user-feedback-system** - For improving retention
---
## Key Quotes
**Gustaf Alstromer:**
> "Retention first, activation second, acquisition last. Don't pour water into a leaky bucket."
**Casey Winters:**
> "The best growth loops are built into the product, not bolted on."
**Elena Verna:**
> "Acquisition is a tax on poor retention."
---
## Further Learning
- **references/yc-growth-playbook.md** - Complete YC growth frameworks
- **references/referral-examples.md** - Successful referral programs
- **references/activation-patterns.md** - Onboarding best practices
- **references/retention-strategies.md** - Building habit-forming products