claude-code-aso-skill
π‘ Summary
This skill provides a multi-agent framework for comprehensive App Store Optimization using AI.
π― Target Audience
π€ AI Roast: βPowerful, but the setup might scare off the impatient.β
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); filesystem read/write scope and path traversal. Run with least privilege and audit before enabling in production.
π App Store Optimization (ASO) Agent and Agent Skill System for Claude Code
Professional App Store Optimization (ASO) powered by AI agents
Features β’ Installation β’ Quick Start β’ Documentation β’ Examples
π 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:
- π₯οΈ Claude Code CLI - Full multi-agent system with automated workflows (developers)
- π Claude Desktop/Web App - Standalone skill for conversational ASO analysis (everyone)
π― What Makes This Different
Unlike generic ASO tools that provide analysis reports, this system delivers:
β Copy-Paste Ready Metadata - Character-validated content ready for App Store Connect and Google Play Console β Real Data Integration - iTunes Search API + WebFetch for competitor intelligence β Actionable Task Checklists - 47-item pre-launch validation with success criteria β Specific Timelines - Real calendar dates, not "Week 1" placeholders β Complete Workflow - 5-phase execution from research to ongoing optimization
β¨ Features
π€ 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)
π 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
π Comprehensive Deliverables
outputs/[YourApp]/
βββ 00-MASTER-ACTION-PLAN.md # Complete roadmap with ASO score
βββ 01-research/
β βββ keyword-list.md # 20 priority keywords, tiered strategy
β βββ competitor-gaps.md # Competitive opportunities
β βββ action-research.md # Research tasks checklist
βββ 02-metadata/
β βββ apple-metadata.md # Copy-paste ready (App Store Connect)
β βββ google-metadata.md # Copy-paste ready (Play Console)
β βββ visual-assets-spec.md # Designer briefing
β βββ action-metadata.md # Implementation tasks
βββ 03-testing/
β βββ ab-test-setup.md # A/B test configuration
β βββ action-testing.md # Testing tasks
βββ 04-launch/
β βββ prelaunch-checklist.md # 47-item validation
β βββ timeline.md # Specific calendar dates
β βββ submission-guide.md # Platform procedures
β βββ action-launch.md # Launch tasks
βββ 05-optimization/
β βββ review-responses.md # Pre-written templates
β βββ ongoing-tasks.md # Daily/weekly/monthly schedule
β βββ action-optimization.md # Optimization tasks
βββ FINAL-REPORT.md # Executive summary
β‘ 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 |
π 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 (βοΈ 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 β 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.
π Usage
Typical Workflows
1οΈβ£ 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
2οΈβ£ 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
3οΈβ£ 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
4οΈβ£ 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:
β Character Limits Validated
- Apple title β€ 30 chars
- Apple subtitle β€ 30 chars
- Apple keywords β€ 100 chars (no duplicates)
- Google title β€ 50 chars
- Google short description β€ 80 chars
β Real Dates, Not Placeholders
- "November 7-13, 2025" β
- "Week 1" β
β Copy-Paste Ready
- No additional formatting needed
- Pre-validated character counts
- Platform constraints respected
β Actionable Tasks
- Checkbox format with success criteria
- Validation methods included
- Implementation guidance provided
π― Example Outputs
See the complete example workflow for a fictional fitness app:
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 π
Keyword Research
| Keyword | Search Volume | Difficulty | Implementation | |---------|--------------|------------|------------
Pros
- Comprehensive multi-agent system for ASO
- Real-time data integration for actionable insights
- Copy-paste ready deliverables for easy implementation
Cons
- Complex setup process for new users
- Requires internet access for full functionality
- May overwhelm users with too many options
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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author alirezarezvani.
