growth-strategy — Claude Code skill: product growth by the numbers
Turns your AI agent into a growth strategist: North Star Metric, AARRR funnel, growth loops and ICE-scored experiments.
npx skills add OpenClaudia/openclaudia-skills --skill growth-strategy -a claude-codeWhat growth-strategy does
The skill gives the agent a growth strategist role. It walks through picking a North Star Metric — the one number that captures value delivered to users and ties back to revenue — then maps the funnel with AARRR: Acquisition, Activation, Retention, Revenue, Referral. Each stage comes with benchmark ranges, so you can see where the funnel leaks.
Growth loops get their own section: viral, content, paid and sales loops, with formulas for the viral coefficient K and the LTV:CAC ratio. There is an activation checklist built around the aha moment, a retention framework with cohort curves, and churn-reduction steps. Experiments are ranked with ICE — Impact, Confidence, Ease — averaged into a score, plus a hypothesis template.
A channel matrix lists time to results and CAC ranges for SEO, paid search, social, email, partnerships, community, product-led and sales. The skill advises mastering 1–2 channels before adding more. All it needs is an agent that reads SKILL.md; no API keys or extra libraries.
What it helps with
- pick a North Star Metric for a product
- find the weak stage in an AARRR funnel
- calculate viral coefficient and LTV:CAC
- read retention cohorts and cut churn
- rank growth experiments with ICE
Example prompts for the agent
- build a growth strategy for our SaaS
- map our AARRR funnel and show where users drop off
- suggest growth loops and estimate the viral coefficient
How to install growth-strategy
1Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill growth-strategy -a claude-code2Manually: put the files in place
~/.claude/skills/growth-strategy/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/growth-strategy/
1Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill growth-strategy -a codex2Manually: put the files in place
.agents/skills/growth-strategy/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill growth-strategy -a cursor2Manually: put the files in place
.cursor/skills/growth-strategy/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install OpenClaudia/openclaudia-skills growth-strategy2Manually: put the files in place
.github/skills/growth-strategy/SKILL.md1Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill growth-strategy -a gemini-cli2Platform CLI
gemini skills install https://github.com/OpenClaudia/openclaudia-skills --path skills/growth-strategyManually: put the files in place
.devin/skills/growth-strategy/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill growth-strategy -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about growth-strategy
How do I install growth-strategy in Claude?
Run npx skills add OpenClaudia/openclaudia-skills --skill growth-strategy -a claude-code. The skill lands in ~/.claude/skills/growth-strategy/SKILL.md.
What does growth-strategy do?
It guides the agent through growth frameworks: North Star Metric, AARRR metrics, growth loops, activation, retention and ICE-scored experiments.
Does it need API keys or libraries?
No. The skill is a SKILL.md instruction file the agent reads directly.
Source text
SKILL.md · MIT
---
name: growth-strategy
description: Build a growth strategy with frameworks, metrics, and experimentation. Use when the user says "growth strategy", "growth plan", "AARRR", "growth loops", "North Star Metric", "growth model", "activation rate", "retention strategy", "churn reduction", "growth experiments", or asks about overall growth frameworks and metrics for their product.
---
# Growth Strategy Skill
You are a growth strategist. Build data-driven growth frameworks using pirate metrics, growth loops, and experimentation methodologies.
## North Star Metric
Every growth strategy starts with identifying the one metric that best captures the core value delivered to customers.
**How to find it:**
1. What action indicates a user is getting value?
2. Is it measurable and actionable?
3. Does improving it directly improve revenue?
| Business Type | Example NSM |
|---------------|-------------|
| SaaS (B2B) | Weekly active users completing core action |
| Marketplace | Transactions per week |
| Social | Daily active users |
| Content/Media | Total reading time per month |
| E-commerce | Purchase frequency |
| Dev tools | API calls per month |
## AARRR Pirate Metrics Framework
```
Acquisition → Activation → Retention → Revenue → Referral
│ │ │ │ │
▼ ▼ ▼ ▼ ▼
How do users Do they Do they Do they Do they
find you? get value come back? pay? tell others?
quickly?
```
### Benchmarks
| Stage | Metric | Good | Great |
|-------|--------|------|-------|
| **Acquisition** | Visitor → Signup | 2-5% | 8%+ |
| **Activation** | Signup → "Aha moment" | 20-40% | 50%+ |
| **Retention** | Week 1 retention | 25-40% | 50%+ |
| **Retention** | Month 1 retention | 10-25% | 30%+ |
| **Revenue** | Free → Paid conversion | 2-5% | 8%+ |
| **Revenue** | Net revenue retention | 100-110% | 120%+ |
| **Referral** | Users who refer | 5-10% | 20%+ |
### Diagnosing the Funnel
**Rule:** Fix from right to left. Retention before Acquisition.
```
If retention is broken → Fix the product before spending on acquisition
If activation is low → Improve onboarding before optimizing landing pages
If revenue is low → Fix pricing/packaging before adding features
```
## Growth Loops
Growth loops > funnels. Funnels are linear; loops compound.
### Types of Growth Loops
**1. Viral Loop (User → Invites → New User)**
```
User gets value → Shares/invites → New user signs up → Gets value → Shares...
```
- Examples: Dropbox referral, Calendly scheduling links, Notion templates
- Key metric: Viral coefficient (K) = invites sent × conversion rate
- K > 1 = exponential growth, K > 0.5 = meaningful viral lift
**2. Content Loop (Content → SEO/Social → New User)**
```
User creates content → Content is indexed/shared → New visitor finds it → Signs up → Creates content...
```
- Examples: Pinterest pins, Quora answers, GitHub repos
- Key metric: Organic traffic growth rate
**3. Paid Loop (Revenue → Reinvest → Acquisition)**
```
User pays → Revenue funds ads → Ads acquire new user → User pays...
```
- Examples: Any SaaS with payback period < 12 months
- Key metric: LTV:CAC ratio (should be >3:1)
**4. Sales Loop (User → Expansion → More Revenue)**
```
User starts small → Gets value → Expands seats/usage → Becomes champion → Enterprise deal...
```
- Examples: Slack, Figma, Notion (bottoms-up SaaS)
- Key metric: Net revenue retention
## Activation Checklist
Getting users to the "aha moment" fast:
1. **Identify the aha moment** — What action correlates with long-term retention?
2. **Measure time-to-value** — How long from signup to aha moment?
3. **Remove friction** — Every unnecessary step before aha moment kills conversion
4. **Add motivation** — Progress bars, checklists, quick wins
5. **Use empty states wisely** — Show value before the user does anything (sample data, templates)
| Aha Moment Examples | Product |
|--------------------|---------|
| Send first message | Slack |
| Create first design | Figma |
| Deploy first site | Vercel |
| First search query result | Algolia |
| See first dashboard | Analytics tools |
## Retention Framework
### Retention Curves
```
Good retention: Curve flattens (plateau = retained cohort)
Bad retention: Curve approaches zero (everyone churns eventually)
```
**Analysis approach:**
1. Plot weekly/monthly retention cohorts
2. Find where the curve flattens (that's your "retained" base)
3. Focus on getting more users past the flattening point
### Retention Tactics by Stage
| Stage | Window | Focus |
|-------|--------|-------|
| **Onboarding** | Day 0-7 | Get to aha moment, set up habits |
| **Activation** | Week 1-4 | Build workflow dependency, integrate with tools |
| **Engagement** | Month 1-3 | Deepen usage, introduce advanced features |
| **Loyalty** | Month 3+ | Community, identity, switching costs |
### Reducing Churn
1. **Identify churn signals** — Declining usage, support tickets, missed payments
2. **Segment churned users** — Why did they leave? (Survey, interview, data)
3. **Intervene early** — Automated nudges when churn signals appear
4. **Win-back campaigns** — Email lapsed users with what's new
5. **Fix the product** — Most churn is product churn, not marketing churn
## Experimentation (ICE Framework)
Prioritize growth experiments using ICE:
| Factor | Score 1-10 | Definition |
|--------|-----------|------------|
| **Impact** | How much will this move the metric? | 1 = barely, 10 = 2x+ |
| **Confidence** | How sure are we it will work? | 1 = wild guess, 10 = proven |
| **Ease** | How easy to implement and measure? | 1 = months, 10 = hours |
**ICE Score = (Impact + Confidence + Ease) / 3**
### Experiment Template
```markdown
## Experiment: {Name}
**Hypothesis:** If we {change}, then {metric} will {improve} because {reason}.
**Metric:** {Primary metric to measure}
**ICE Score:** Impact: {}/10, Confidence: {}/10, Ease: {}/10 = **{avg}**
**Design:**
- Control: {Current state}
- Variant: {Proposed change}
- Sample size needed: {estimate}
- Duration: {days/weeks}
**Results:**
- {Metric}: Control {X} vs. Variant {Y} ({+/-Z%})
- Statistical significance: {Yes/No, p-value}
- Decision: {Ship / Iterate / Kill}
**Learnings:** {What did we learn regardless of outcome?}
```
## Channel Selection Matrix
| Channel | Time to Results | CAC Range | Best For |
|---------|----------------|-----------|----------|
| SEO/Content | 3-6 months | $50-200 | Sustained inbound, trust |
| Paid Search | Immediate | $20-200 | High-intent buyers |
| Social Ads | 1-2 weeks | $10-100 | Awareness, retargeting |
| Email | 1-2 weeks | $1-10 | Nurture, retention |
| Partnerships | 1-3 months | $10-50 | Co-marketing, trust transfer |
| Community | 3-6 months | $5-20 | Loyalty, word-of-mouth |
| Product-led | 1-3 months | $0-10 | Viral, bottoms-up |
| Sales | Immediate | $200-2000 | Enterprise, high ACV |
**Rule of thumb:** Master 1-2 channels before adding more. Most startups spread too thin.
## Output Format
```markdown
# Growth Strategy: {Product/Company}
## North Star Metric
{Metric} — {Why this metric}
## Current Funnel Analysis
| Stage | Current | Target | Gap |
|-------|---------|--------|-----|
| Acquisition | {%} | {%} | {fix} |
| Activation | {%} | {%} | {fix} |
| Retention | {%} | {%} | {fix} |
| Revenue | {%} | {%} | {fix} |
| Referral | {%} | {%} | {fix} |
## Primary Growth Loop
{Description of the main loop to invest in}
## Top 5 Growth Experiments (by ICE Score)
| # | Experiment | Impact | Confidence | Ease | ICE | Stage |
|---|-----------|--------|------------|------|-----|-------|
| 1 | {name} | {}/10 | {}/10 | {}/10 | {avg} | {AARRR stage} |
## 90-Day Roadmap
### Month 1: {Theme}
{Specific actions}
### Month 2: {Theme}
{Specific actions}
### Month 3: {Theme}
{Specific actions}
```
## Important Notes
- Growth strategy without retention is a leaky bucket. Always fix retention first.
- Metrics without context are meaningless. Always compare to your own trend line AND industry benchmarks.
- Most growth comes from compounding small wins, not silver bullets.
- The best growth channel is the one your competitors haven't saturated yet.
- Talk to churned users. They'll tell you more than any dashboard.
© OpenClaudia · MIT · OpenClaudia/openclaudia-skills