This project offers an AI-powered App Store Optimization (ASO) framework designed for Claude Code and Claude AI applications. It targets developers and users seeking to enhance app store visibility by providing automated, actionable ASO strategies, copy-paste ready metadata, and detailed checklists, thereby simplifying and accelerating the optimization process.

How It Works

The system utilizes a multi-agent architecture comprising four specialized AI agents: an orchestrator, a research agent, an optimizer, and a strategist. These agents work in coordination, leveraging the iTunes Search API and web scraping for real-time competitor analysis and keyword research. A key differentiator is its output: character-validated, ready-to-use metadata for both Apple App Store and Google Play Console, alongside specific timelines and actionable task lists, moving beyond generic reports to provide direct implementation assets.

Quick Start & Requirements

• Primary install / run command:
  • Claude Code CLI: Clone repository, then install agents and slash commands using cp commands.
  • Claude Desktop/Web App: Download app-store-optimization.zip and upload via Settings > Capabilities.
• Non-default prerequisites and dependencies: macOS, Linux, or Windows; Internet connection; Claude Code or Claude Desktop/Web App. Python 3.8+ is required.
• Estimated setup time or resource footprint: Installation is described as "< 5 minutes". No specific hardware or significant resource footprint is mentioned beyond standard development environments.
• Links:
  • Repository: https://github.com/alirezarezarezvani/claude-code-aso-skill
  • Documentation: ARCHITECTURE.md, INSTALL.md, USAGE.md within the repository.

Highlighted Details

• Copy-Paste Ready Metadata: Generates metadata (titles, subtitles, keywords, descriptions) with character counts validated against Apple (30/30/100) and Google (50/80/4000) limits.
• Real Data Integration: Employs the free iTunes Search API and web scraping for up-to-date competitor intelligence and keyword data.
• Actionable Deliverables: Produces a comprehensive 47-item pre-launch validation checklist, specific calendar-based timelines, and detailed action plans.
• Workflow Automation: Offers four distinct slash commands (/aso-full-audit, /aso-optimize, /aso-prelaunch, /aso-competitor) for streamlined ASO tasks.

Maintenance & Community

• The project is marked as "production ready" and "actively maintained." Contributions are welcomed via pull requests. Support is primarily through GitHub Issues. A roadmap for future versions (1.1 and 2.0) is provided, outlining planned features like review API integration and paid ASO tool integration.

Licensing & Compatibility

• License type: MIT License.
• Compatibility notes: The MIT license is permissive, allowing for commercial use and integration with closed-source projects without significant restrictions.

Limitations & Caveats

• Keyword search volume data is estimated based on industry benchmarks and may have ±20% accuracy; users are advised to use Apple Search Ads for precise figures. The system's functionality is dependent on the Claude AI ecosystem.