🚀 App Store Optimization (ASO) Agent and Agent Skill System for Claude Code
📋 Overview
The ASO (App Stores Optimization) Agent System for Claude Code is a comprehensive, production-ready multi-agent framework for App Store Optimization (ASO) built for Claude Code and Claude Desktop/Web App. It combines specialized AI agents including a Agent Skill (Claude’s New Feature) set with real-time data fetching to generate actionable, copy-paste ready deliverables for iOS and Android app optimization.
Two ways to use:
- 🖥️ Claude Code CLI - Full multi-agent system with automated workflows (developers)
- 🌐 Claude Desktop/Web App - Standalone skill for conversational ASO analysis (everyone)
🎯 What Makes This Different
Unlike generic ASO tools that provide analysis reports, this system delivers:
✅ Copy-Paste Ready Metadata - Character-validated content ready for App Store Connect and Google Play Console
✅ Real Data Integration - iTunes Search API + WebFetch for competitor intelligence
✅ Actionable Task Checklists - 47-item pre-launch validation with success criteria
✅ Specific Timelines - Real calendar dates, not “Week 1” placeholders
✅ Complete Workflow - 5-phase execution from research to ongoing optimization
✨ Features
🤖 Multi-Agent System
4 Specialized Agents working in coordinated workflow:
- aso-master - Orchestrator coordinating all specialist agents (Opus model)
- aso-research - Keyword research + competitor analysis with iTunes API (Opus model)
- aso-optimizer - Metadata generation with character validation (Sonnet model)
- aso-strategist - Launch timelines + ongoing optimization (Opus model)
📊 Real Data Integration
- iTunes Search API - Free, official Apple API for competitor data (tested & working)
- WebFetch Utilities - Additional scraping for comprehensive analysis
- Character Validation - Apple (30/30/100) and Google (50/80/4000) limits enforced
- Natural Language Checking - No keyword stuffing, reads professionally
📁 Comprehensive Deliverables
outputs/[YourApp]/
├── 00-MASTER-ACTION-PLAN.md # Complete roadmap with ASO score
├── 01-research/
│ ├── keyword-list.md # 20 priority keywords, tiered strategy
│ ├── competitor-gaps.md # Competitive opportunities
│ └── action-research.md # Research tasks checklist
├── 02-metadata/
│ ├── apple-metadata.md # Copy-paste ready (App Store Connect)
│ ├── google-metadata.md # Copy-paste ready (Play Console)
│ ├── visual-assets-spec.md # Designer briefing
│ └── action-metadata.md # Implementation tasks
├── 03-testing/
│ ├── ab-test-setup.md # A/B test configuration
│ └── action-testing.md # Testing tasks
├── 04-launch/
│ ├── prelaunch-checklist.md # 47-item validation
│ ├── timeline.md # Specific calendar dates
│ ├── submission-guide.md # Platform procedures
│ └── action-launch.md # Launch tasks
├── 05-optimization/
│ ├── review-responses.md # Pre-written templates
│ ├── ongoing-tasks.md # Daily/weekly/monthly schedule
│ └── action-optimization.md # Optimization tasks
└── FINAL-REPORT.md # Executive summary
⚡ Slash Commands
Four user-facing workflows:
| Command |
Duration |
Output |
/aso-full-audit [AppName] |
30-40 min |
Complete audit with all phases |
/aso-optimize [AppName] |
10-15 min |
Metadata optimization only |
/aso-prelaunch [AppName] |
15-20 min |
Pre-launch validation checklist |
/aso-competitor [AppName] "App1,App2" |
10-15 min |
Competitive intelligence |
🚀 Quick Start
Prerequisites
Choose Your Platform:
- Claude Code (CLI) - Full multi-agent system with automation
- Claude Desktop/Web App - Standalone skill for direct conversations
- macOS, Linux, or Windows
- Internet connection (for iTunes API)
Installation (< 5 minutes)
Option 1: Claude Code (Full Multi-Agent System) - Recommended
For developers using Claude Code CLI who want the complete multi-agent workflow:
# Clone repository
git clone https://github.com/alirezarezvani/claude-code-aso-skill.git
cd claude-code-aso-skill
# Install agents (user-level)
cp .claude/agents/aso/*.md ~/.claude/agents/
# Install slash commands (optional)
cp .claude/commands/aso/*.md ~/.claude/commands/
# Verify installation
claude --list-agents | grep aso
Option 2: Claude Desktop/Web App (Standalone Skill) - Easy Upload
For users of Claude Desktop or Web App who want quick ASO analysis:
Step 1: Download the Skill Package
# Download app-store-optimization.zip from the repository
# Or use wget/curl:
wget https://github.com/alirezarezvani/claude-code-aso-skill/raw/main/app-store-optimization.zip
Step 2: Upload to Claude
For Claude Desktop App:
- Open Claude Desktop
- Go to Settings (⚙️ icon)
- Navigate to Capabilities tab
- Click Upload Custom Skill
- Select
app-store-optimization.zip
- Wait for “Skill installed successfully” message
- Ready to use!
For Claude Web App:
- Go to claude.ai
- Click your profile icon → Settings
- Navigate to Capabilities section
- Click Upload Custom Skill
- Select
app-store-optimization.zip
- Confirm upload
- Ready to use!
Step 3: Start Using
Hey Claude, I just added the app-store-optimization skill.
Analyze my app: FitFlow - fitness tracking app for beginners.
Generate a complete ASO strategy with keyword research and metadata.
Option 3: Manual Installation (Advanced)
For advanced users who want to customize the skill:
# Extract and install skill manually
unzip app-store-optimization.zip
cp -r app-store-optimization ~/.claude/skills/
# For Claude Code CLI
# Restart Claude Code
claude --reload
# For Claude Desktop
# Restart Claude Desktop app
First Run
For Claude Code Users:
# Start Claude Code in your project directory
claude
# Run complete ASO audit
/aso-full-audit MyAwesomeApp
# Review outputs
cd outputs/MyAwesomeApp
cat 00-MASTER-ACTION-PLAN.md
For Claude Desktop/Web App Users:
Start a new conversation and say:
"Hey Claude, I just added the app-store-optimization skill.
I need help with App Store Optimization for my app called 'MyAwesomeApp'.
It's a fitness tracking app for beginners.
Please generate:
1. Keyword research with 20 priority keywords
2. Copy-paste ready metadata for Apple App Store
3. Copy-paste ready metadata for Google Play Store
4. A complete action plan with timeline"
That’s it! You’ll receive a complete ASO strategy with copy-paste ready metadata, keyword research, and actionable recommendations.
📖 Usage
Typical Workflows
1️⃣ New App Launch (Complete Workflow)
/aso-full-audit MyApp
Generates:
- ASO health score (0-100)
- 20 priority keywords with implementation guide
- Copy-paste ready metadata (Apple + Google)
- 47-item pre-launch checklist
- Timeline with specific dates
- Ongoing optimization schedule
Time: 30-40 minutes
Output: Complete outputs/MyApp/ folder
2️⃣ Existing App Optimization
/aso-optimize MyApp
Generates:
- Updated metadata optimized for current keywords
- A/B test variants
- Visual asset specifications
Time: 10-15 minutes
Output: outputs/MyApp/02-metadata/ folder
3️⃣ Pre-Launch Validation
/aso-prelaunch MyApp
Generates:
- 47-item validation checklist
- Submission procedures
- Launch timeline
- Common rejection fixes
Time: 15-20 minutes
Output: outputs/MyApp/04-launch/ folder
4️⃣ Competitive Intelligence
/aso-competitor MyApp "Todoist,Any.do,Microsoft To Do"
Generates:
- Competitor keyword analysis
- Feature gap identification
- Pricing strategy comparison
- Opportunity areas
Time: 10-15 minutes
Output: outputs/MyApp/01-research/competitor-gaps.md
Quality Standards
All outputs meet these standards:
✅ Character Limits Validated
- Apple title ≤ 30 chars
- Apple subtitle ≤ 30 chars
- Apple keywords ≤ 100 chars (no duplicates)
- Google title ≤ 50 chars
- Google short description ≤ 80 chars
✅ Real Dates, Not Placeholders
- “November 7-13, 2025” ✅
- “Week 1” ❌
✅ Copy-Paste Ready
- No additional formatting needed
- Pre-validated character counts
- Platform constraints respected
✅ Actionable Tasks
- Checkbox format with success criteria
- Validation methods included
- Implementation guidance provided
🎯 Example Outputs
See the complete example workflow for a fictional fitness app:
FitFlow Example
Master Action Plan
# Master Action Plan: FitFlow
**ASO Health Score:** 58/100
**Priority Level:** High (New App Launch)
## Timeline
November 7-10, 2025: Research Phase
November 11-17, 2025: Metadata & Visual Assets
November 18-20, 2025: A/B Test Setup
November 21-25, 2025: Launch Preparation
December 1, 2025: PUBLIC LAUNCH 🚀
Keyword Research
| Keyword | Search Volume | Difficulty | Implementation |
|---------|--------------|------------|----------------|
| fitness tracker | 85,000/mo | 55/100 | Apple Title |
| workout planner | 62,000/mo | 48/100 | Apple Subtitle |
| exercise log | 45,000/mo | 42/100 | Description |
### Title (30 chars max)
FitFlow: Fitness Tracker
Character Count: 25/30 ✅
### Subtitle (30 chars max)
Easy Workout Planner & Log
Character Count: 26/30 ✅
### Keywords (100 chars max)
activity,goals,routine,challenge,calories,home,progress,simple,exercise,fitness,beginner
Character Count: 91/100 ✅
🏗️ Architecture
System Design
┌─────────────────────────────────────────────────────────────────┐
│ ASO Agent System │
│ │
│ Standalone Skill ←─────→ Agent System ←─────→ User Outputs │
└─────────────────────────────────────────────────────────────────┘
Layer 1: Standalone Skill (app-store-optimization/)
↓
Layer 2: Agent-Integrated Skill (.claude/skills/aso/)
↓
Layer 3: Agent Definitions (.claude/agents/aso/)
↓
Layer 4: Slash Commands (.claude/commands/aso/)
↓
Layer 5: Output Structure (outputs/[app-name]/)
Dual Structure
Standalone Skill (app-store-optimization/)
- Distributable Python skill package
- 8 modules for direct invocation
- Works independently of agents
- Available as ZIP file (
app-store-optimization.zip)
ZIP Package for Claude Desktop/Web App (app-store-optimization.zip)
- One-click installation for Claude Desktop and Web App users
- Upload via Settings → Capabilities
- No command-line required
- Instant access to ASO analysis
Agent-Integrated (.claude/skills/aso/)
- Used by ASO agents as toolkit
- Synchronized with standalone version
- Enables coordinated workflows
- Full multi-agent automation
Choose Your Version:
- Claude Code CLI → Clone repository + install agents (Option 1)
- Claude Desktop/Web App → Download ZIP + upload to Settings (Option 2)
- Advanced Users → Manual installation from source (Option 3)
See ARCHITECTURE.md for complete details.
📚 Documentation
🧪 Testing
iTunes API Integration ✅
cd .claude/skills/aso && python3 lib/itunes_api.py
Test Results:
✅ Search for apps: PASSED (Todoist found)
✅ Get app by name: PASSED (Metadata extracted)
✅ Get competitors: PASSED (Top productivity apps fetched)
✅ Compare competitors: PASSED (3 apps compared successfully)
Sample Output:
- Todoist: 4.8★ (120,655 ratings)
- Any.do: 4.6★ (49,604 ratings)
- Microsoft To Do: 4.7★ (250,014 ratings)
Example Workflow ✅
Created: outputs/FitFlow-example/
Quality Validation:
✅ Character counts validated
✅ Real dates used (November 7 - December 1, 2025)
✅ Actionable tasks with success criteria
✅ Natural language (no keyword stuffing)
✅ Copy-paste ready content
🛠️ Tech Stack
- Language: Python 3.8+
- AI Framework: Claude Code agents (Opus + Sonnet models)
- Data Sources: iTunes Search API, WebFetch
- Output Format: Markdown with YAML frontmatter
- Platform Support: macOS, Linux, Windows
📊 Project Statistics
- Total Files: 59
- Lines of Code: 26,526+
- Agents: 4 (2,500+ lines)
- Python Modules: 8 (800+ lines)
- Templates: 6 action checklists
- Slash Commands: 4 workflows
- Documentation: 1,500+ lines
- Development Time: Production-ready v1.0
🤝 Contributing
Contributions are welcome! Here’s how you can help:
Areas for Contribution
-
Additional Data Sources
- Integration with paid ASO APIs (AppTweak, Sensor Tower)
- iTunes Review API for bulk review fetching
- Historical ranking data
-
Localization
- Multi-language metadata generation
- Translation workflow automation
- Regional keyword research
-
Enhanced Analytics
- Keyword ranking trend tracking
- ASO score progression over time
- Competitor movement monitoring
-
Documentation
- Additional use cases and examples
- Video tutorials
- Translation of documentation
Contribution Process
# Fork repository
git clone https://github.com/alirezarezvani/claude-code-aso-skill.git
cd claude-code-aso-skill
# Create feature branch
git checkout -b feature/your-feature-name
# Make changes and test
# ... your changes ...
# Commit with clear message
git commit -m "feat: add AppTweak API integration"
# Push and create PR
git push origin feature/your-feature-name
📝 License
This project is licensed under the MIT License - see the LICENSE.md file for details.
MIT License - Copyright (c) 2025 Alireza Rezvani
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software to use, copy, modify, merge, publish, distribute, sublicense,
and/or sell copies of the Software.
🙏 Acknowledgments
- Claude Code Team - For the amazing AI-powered development environment
- Apple - For the free iTunes Search API
- ASO Community - For best practices and industry benchmarks
📞 Support
Getting Help
Common Questions
Q: Do I need paid ASO tools?
A: No. This system uses free iTunes Search API and industry benchmarks.
Q: Can I use this for both iOS and Android?
A: Yes. Generates metadata for both Apple App Store and Google Play Store.
Q: How accurate are the keyword search volumes?
A: Estimates based on industry benchmarks (±20% accuracy). Use Apple Search Ads data for exact volumes.
Q: Can I customize the agents?
A: Yes. All agents are Markdown files in .claude/agents/aso/ - edit freely.
🚦 Status
- Current Version: 1.0.0 (Production Ready)
- Release Date: November 7, 2025
- Status: ✅ Stable and tested
- Maintenance: Actively maintained
🗺️ Roadmap
Version 1.0 (Current) ✅
Version 1.1 (Planned)
Version 2.0 (Future)
⭐ Star History
If you find this project useful, please consider giving it a star on GitHub!
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