Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add hyperb1iss/hyperskills --skill "growth"
Install specific skill from multi-skill repository
# Description
Use this skill when working on growth strategy, marketing, app store optimization, content creation, competitive analysis, or product strategy. Activates on mentions of growth hacking, viral loop, referral program, ASO, app store optimization, SEO, content marketing, product-led growth, PLG, competitive analysis, market research, user acquisition, conversion optimization, A/B testing, or funnel optimization.
# SKILL.md
name: growth
description: Use this skill when working on growth strategy, marketing, app store optimization, content creation, competitive analysis, or product strategy. Activates on mentions of growth hacking, viral loop, referral program, ASO, app store optimization, SEO, content marketing, product-led growth, PLG, competitive analysis, market research, user acquisition, conversion optimization, A/B testing, or funnel optimization.
Growth & Product
Ship features that grow and retain users.
Quick Reference
Product-Led Growth (PLG) Framework
Time to Value < 15 minutes - Users should hit their "aha" moment fast.
PLG Pillars:
- Freemium or free trial - Let them try before buying
- Self-serve onboarding - No sales call required
- Usage-based expansion - Pay for what you use
- Built-in virality - Product drives acquisition
Key Metrics:
| Metric | Benchmark |
|--------|-----------|
| Time to First Value | < 15 min |
| Activation Rate | > 40% |
| Day 1 Retention | > 50% |
| Week 1 Retention | > 25% |
| NPS | > 40 |
Viral Loop Mechanics
K-Factor Formula: K = i Γ c
- i = invitations per user
- c = conversion rate of invites
- K > 1 = exponential growth
Loop Types:
- Incentivized Referrals
- Double-sided rewards (referrer + referee)
- Reward tied to core product value
-
Example: "Refer a friend, both get $10"
-
Content/UGC Loops
- User creates β shares externally β new users see β sign up
-
Example: TikTok watermarks, Canva designs
-
Collaborative Loops
- Multi-user features require invites
- Example: Figma team workspaces
App Store Optimization (ASO)
Title (most important):
- Include primary keyword
- Brand name + value prop
- iOS: 30 chars, Android: 50 chars
Keywords:
- Long-tail > broad ("meditation for anxiety" > "meditation")
- Competitor names work but risky
- Update every 4-6 weeks based on performance
Screenshots:
- First 2-3 visible without scrolling
- Show core features, not onboarding
- Include social proof (ratings, awards)
Conversion Factors:
- Apps > 4.5 stars rank better
- Review velocity matters
- Reply to reviews (improves visibility)
The 3-Second Rule (Video/TikTok)
63% of top-performing videos hook in 3 seconds.
Hook Types:
| Type | Example |
|------|---------|
| Question | "Want to know why your app isn't growing?" |
| Contradiction | "Everyone says you need ads. Wrong." |
| Visual Surprise | Dramatic reaction, unexpected scene |
| Bold Statement | "This one metric changed everything" |
Content Repurposing Flow
Long-form (Blog/Video)
β
Short-form (Tweets, Reels, TikToks)
β
Quotes/Carousels (LinkedIn, Instagram)
β
Newsletter
β
Podcast
One piece of content β 10+ distribution points.
User Research Quick Methods
5-Second Test:
Show screenshot for 5 seconds, ask:
- What does this app do?
- Who is it for?
- What would you do first?
Jobs-to-be-Done Interview:
- "Tell me about the last time you [task]"
- "What were you trying to accomplish?"
- "What did you do before finding our product?"
Fake Door Test:
Add button/feature that doesn't exist yet, track clicks.
Competitive Analysis Framework
## Direct Competitors
| Feature | Us | Comp A | Comp B |
| ------------ | --- | ------ | ------ |
| Core feature | β
| β
| β |
| Pricing | $X | $Y | $Z |
| Unique value | ... | ... | ... |
## Indirect Competitors
[Alternative solutions to same problem]
## Positioning Opportunity
[Gap in market we can own]
A/B Testing Rules
- Test one thing - Don't change 5 things at once
- Statistical significance - Use proper sample sizes
- Run long enough - Min 1-2 weeks, full business cycles
- Document everything - Hypothesis β result β learning
Sample Size Calculator:
- 5% baseline conversion
- 20% minimum detectable effect
- 95% confidence
- ~1,500 visitors per variant
Growth Experiments Template
## Experiment: [Name]
**Hypothesis:** If we [change], then [metric] will [improve/decrease] by [amount] because [reasoning].
**Metric:** [Primary metric to measure]
**Duration:** [X days/weeks]
**Traffic:** [% of users]
**Results:**
- Control: X%
- Variant: Y%
- Lift: Z%
- Significant: Yes/No
**Learnings:** [What we learned]
**Next Steps:** [Ship/iterate/kill]
Micro-Influencer Strategy
| Tier | Followers | Engagement | Cost/Post |
|---|---|---|---|
| Nano | < 5K | 3-5% | $0-100 |
| Micro | 5K-50K | 2-3% | $100-500 |
| Mid | 50K-500K | 1.5-2% | $500-5K |
5 nano-influencers > 1 mid-tier influencer (same cost, 2x engagement)
UGC Collection System
- Trigger moments - Post-purchase, achievement, milestone
- Easy submission - One-tap sharing, pre-filled templates
- Incentivize - Features, discounts, recognition
- Curate & amplify - Best UGC on your channels
UGC is 9.8x more impactful than influencer content for purchases.
Agents
- growth-hacker - Viral loops, PLG, acquisition experiments
- app-store-optimizer - ASO strategy, keyword optimization
- content-strategist - Multi-platform content, SEO
- trend-researcher - Market research, opportunity identification
- product-strategist - Competitive intel, feature prioritization
Deep Dives
- references/plg-playbook.md
- references/viral-mechanics.md
- references/aso-guide.md
- references/content-strategy.md
Examples
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.