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oh-my-growth

🚀 oh-my-growth

Growth Strategy External Brain — Claude Code, OpenClaw & Hermes Agent Plugin

Integrating 194 Cases · 111 Growth Plays · 12 Schools · Complete Decision Framework

Input a growth question, output: Stage Diagnosis · Core Tension · Priority Ranking · Do/Don't · 2-Week Experiment

Version Tests License

Install · Quick Start · Core Frameworks · Documentation

中文文档

💡 What is This?

oh-my-growth is a growth strategy plugin for Claude Code, OpenClaw, and Hermes Agent.

Use it directly in your Claude Code session:

/omg-diagnose My DAU dropped 20%, what should I do?
/omg-assess We're planning referral, evaluate feasibility first
/omg-design How to design monetization strategy for SaaS?

Shortcut: Use /omg instead of /oh-my-growth

/omg-diagnose My DAU dropped 20%, what should I do?
/omg-assess We're planning referral, evaluate feasibility first

It first determines:

  • Which growth stage you're in (validation / scaling / optimization)
  • Whether the problem is user acquisition or user engagement
  • What your North Star metric should be
  • What to focus on and what to avoid

Then outputs actionable recommendations:

  • 🎯 Diagnose Growth Problems — Identify core tension, stage constraints, and priorities
  • 📋 Validate Decision Docs — Check if reports cover key sections, fact markers, and action loops
  • 🛠️ Output Strategy Plans — What to do, what not to do, which experiment to run first
  • 📚 Match Success Cases — Who has done similar things? How did they do it?
  • 🔢 Form Executable Judgments — Backed by evidence, cases, and lightweight decision engines

📦 Install

Option 1: One-Click Install (Recommended)

cd oh-my-growth
./scripts/install.sh

Option 2: Manual Install

# Clone repository
git clone https://github.com/tinylion1024/oh-my-growth.git

# Install to Claude Code skills directory
cp -R oh-my-growth ~/.claude/skills/oh-my-growth

Verify Installation

In Claude Code, type:

/omg-diagnose test installation

Install to OpenClaw

oh-my-growth also supports OpenClaw:

# Clone repository
git clone https://github.com/tinylion1024/oh-my-growth.git

# Install to OpenClaw skills directory
cp -R oh-my-growth/openclaw ~/.openclaw/skills/oh-my-growth
cp -R oh-my-growth/knowledge ~/.openclaw/skills/oh-my-growth/
cp -R oh-my-growth/references ~/.openclaw/skills/oh-my-growth/
cp -R oh-my-growth/scripts ~/.openclaw/skills/oh-my-growth/

# Install Python dependencies
pip install -r oh-my-growth/requirements.txt

See openclaw/INSTALL.md for detailed OpenClaw installation guide.

Install to Hermes Agent

oh-my-growth also supports Hermes Agent:

# Clone repository
git clone https://github.com/tinylion1024/oh-my-growth.git

# Install to Hermes skills directory
mkdir -p ~/.hermes/skills/oh-my-growth
cp -R oh-my-growth/hermes/SKILL.md ~/.hermes/skills/oh-my-growth/
cp -R oh-my-growth/knowledge ~/.hermes/skills/oh-my-growth/
cp -R oh-my-growth/references ~/.hermes/skills/oh-my-growth/
cp -R oh-my-growth/scripts ~/.hermes/skills/oh-my-growth/

# Install Python dependencies
pip install -r oh-my-growth/requirements.txt

See hermes/INSTALL.md for detailed Hermes Agent installation guide.

✨ Quick Start

Use in Claude Code

Core Commands:

# Strategy diagnosis - diagnose growth problems with priority ranking
/omg-diagnose How to get first 1000 users for SaaS product
/omg-diagnose My DAU dropped 20%, what should I do?

# Opportunity assessment - evaluate if worth deeper analysis
/omg-assess Should we do referral program
/omg-assess We're planning viral growth, evaluate feasibility first

# Strategy design - actionable strategy with execution path
/omg-design How to improve monthly active user retention
/omg-design SaaS monetization strategy

# Case matching - find success cases
/omg-match Gamification to boost user activity
/omg-match Referral growth cases in education industry

# Learning path - systematic learning roadmap
/omg-learn How to systematically learn referral growth
/omg-learn Retention strategy for B2B SaaS

Quick Judgment:

# Fast scan - quick feasibility check
/omg-fast-scan Is TikTok ads worth trying for our SaaS?

# Decision BRD - full decision document for budget approval
/omg-brd Should we invest $50K in referral program

Utility Commands:

# Search knowledge base directly
/omg-search viral growth
/omg-search PLG onboarding

# Validate output document
/omg-validate report.md

Scenario Shortcuts:

# Cold start scenario
/omg-cold-start How to get first 100 seed users for AI writing SaaS

# Retention scenario
/omg-retention How to improve 30-day retention rate

# Monetization scenario
/omg-monetization How to design pricing for SaaS product

# Referral scenario
/omg-referral Should we do invitation referral

Command Reference

Command Description Use Case
/omg-diagnose Diagnosis + Priority + Experiment Growth lead needs quick judgment
/omg-assess Evaluate if worth deeper analysis Current state unclear, need clarity first
/omg-design Actionable strategy Know what to do, need execution path
/omg-fast-scan Quick judgment Is this idea worth pursuing?
/omg-brd Full decision document Need budget/resource approval
/omg-match Find success cases Want to see how others did it
/omg-learn Systematic learning path Want to deep dive into a growth area
/omg-search Search knowledge base Direct lookup of cases/plays/theories
/omg-validate Validate output document Check report completeness
/omg-cold-start Cold start scenario First users acquisition
/omg-retention Retention scenario Improve user retention
/omg-monetization Monetization scenario Design monetization strategy
/omg-referral Referral scenario Plan referral program

Output Views

The standalone CLI supports operator, executive, report, json, weekly, experiment-card, decision-memo, and qbr views through --view.

CLI Mode (Standalone)

# Strategy brain diagnosis
python scripts/cli.py diagnose "How to get first 1000 users for SaaS" \
  --industry saas --stage 0-1 --problem acquisition

# Scenario shortcut
python scripts/cli.py cold-start "How to get first 100 seed users for AI writing SaaS" \
  --industry saas

Sample Output:

┌─────────────────────────────────────────────────────────┐
│  📌 Stage Diagnosis                                     │
├─────────────────────────────────────────────────────────┤
│  Validation Stage · User Acquisition                    │
│  North Star: New high-intent users                      │
│                                                         │
│  📌 One-Liner Judgment                                  │
│  Recommend small experiment: Bet on "Beta Invite"       │
│                                                         │
│  📌 Core Tension                                        │
│  Not lack of channels, but no replicable low-cost path  │
│                                                         │
│  📌 Priority Ranking                                    │
│  Beta Invite > Landing Page > Product Hunt Launch       │
│                                                         │
│  📌 2-Week Experiment                                   │
│  1. Validate one action only                            │
│  2. Track new high-intent users                         │
│  3. Stop if hypothesis fails                            │
└─────────────────────────────────────────────────────────┘

🎯 Knowledge Base Scale

Type Count Description
📚 Cases 194 Pinduoduo, TikTok, Notion, Airbnb, GPT-4o, Claude 3.5...
🛠️ Plays 111 Referral, PLG, Content Growth, Retention...
📖 Theories 12 Schools Growth Hacking, Network Effects, PLG...

Case Index

China Cases (118)

AI Products 2025 (25)

New Business Models 2025 (25)

Fintech (16)

Gaming & Entertainment (10)

Healthcare (10)

E-commerce & Retail (9)

Social & Community (6)

Local Life (5)

Overseas Cases (66)

AI Products 2025 (29)

New Business Models 2025 (15)

SaaS Tools (7)

Consumer Brands (4)

Transportation (3)

Vertical Industry Cases (10)

Play Index

Cold Start Growth (10)
Viral & Referral (15)
Content Growth (15)
Community Growth (10)
Product-led Growth (15)
Retention Growth (10)
Monetization Growth (10)
Paid Advertising (10)
Brand Growth (8)
B2B Sales (8)

🧭 Core Frameworks

The project organizes strategy judgment around a complete growth operating framework:

  • First determine: Product Validation / Growth Scaling / Scale Optimization
  • Then determine: User Acquisition or User Engagement
  • Then define: North Star Metric and Constraints
  • Finally: Cases, plays, theories, and experiment recommendations

Quality Assurance

Mechanism Purpose
✅ Current State Clarity Gate Ask follow-up questions when information is insufficient
✅ Evidence Tier System A/B/C/D/E five-level confidence, transparent labeling
✅ Safety Boundary Detection Auto-identify financial/legal/regulatory risks
✅ Output Contract 10 required sections, ensure report completeness

🔢 Bayesian Decision Engine

What is Bayesian Decision?

Converts uncertain growth decisions into an auditable probabilistic reasoning process:

Initial Hypothesis → Set Prior → Collect Evidence → Update Posterior → Compare Threshold → Recommend Action

Action Thresholds

Posterior Range Decision Description
≥ 75% Invest Now High confidence, actionable
50-75% Run Experiment Medium confidence, needs validation
30-50% Collect Evidence Low confidence, insufficient info
< 30% Stop Very low confidence, not recommended

Evidence Tiers

Tier Definition Update Magnitude
A Meta-analysis, systematic reviews ±25%
B Peer-reviewed, industry reports ±15%
C Expert opinions, internal data ±10%
D LLM suggestions, analogies ±5%
E Blogs, marketing copy 0%

📊 Kelly Allocation Framework

What is Kelly Criterion?

Calculate optimal investment ratio, answering "how much resource to invest":

f* = (bp - q) / b

f* = Optimal investment fraction
b  = Net odds (profit/loss)
p  = Win probability
q  = Loss probability

Action Package Output

kelly_result:
  fraction: "15% budget"
  action: "Launch referral MVP"
  budget: "$15K"
  add_condition: "K-factor > 0.5 → Scale to $30K"
  stop_condition: "CAC > $10 → Stop"
  review: "Review in 30 days"

🏗️ Architecture Overview

User Input
    │
    ▼
┌─────────────────┐
│ Lead Agent      │ ← Orchestration, problem classification
└────────┬────────┘
         │
    ┌────┴────┐
    ▼         ▼
┌───────┐ ┌───────┐
│知识   │ │ 决策  │
│ Agent │ │ Agent │
│ 群    │ │ 群    │
└───┬───┘ └───┬───┘
    │         │
    └────┬────┘
         ▼
┌─────────────────┐
│ Narrative Agent │ ← Output generation
└─────────────────┘

Knowledge Agents: Case · Weapon · Theory · Competitor

Decision Agents: Growth · Monetization · ROI · Execution · Skeptic

📖 Documentation

Document Description
SKILL.md Complete skill definition
Growth Operating Framework Stage, North Star, Journey, Strategy Loop
Bayesian Decision Probabilistic reasoning framework
Game Theory Framework Competitive analysis, equilibrium prediction
Kelly Allocation Resource investment optimization

🧪 Test Coverage

# Run main test suite
python3 scripts/run_tests.py

# Run CLI integration tests only
python3 -m pytest tests/test_cli_integration.py

# Validate agents and indexes
python3 scripts/validate-agents.py
python3 scripts/validate-indexes.py
Test Type Coverage Status
Scripted Main Tests 96/96 ✅
CLI Integration Tests diagnose / assess / match / validate / learn ✅
Golden Scenario Regression Wrong stage / Wrong constraint / Wrong direction ✅
Agent/Index Validation Structure and knowledge integrity ✅

🚀 Productization Status

See docs/optimization-status.md for current high-ROI optimization status and active backlog.

🤝 Contributing

Contributions welcome!

  • 📝 Submit new cases (see knowledge/cases/ format)
  • 🛠️ Add growth plays (see knowledge/weapons/ format)
  • 🐛 Report issues (open an Issue)
  • 💡 Feature suggestions (open an Issue or PR)

📄 License

MIT License - Free to use, modify, and distribute

Built with ❤️ by Growth Master Team

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Growth Strategy Brain - Claude Code Plugin for Growth Decisions | 81 Cases · 111 Plays · 12 Schools

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v1.0.0 - 首次发布 Latest
Jun 13, 2026

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