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EronredAI agent skills for app store optimization and marketing
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AI agent skills designed to automate and enhance App Store Optimization (ASO) and mobile app marketing tasks. This project targets indie developers, app marketers, and growth teams, enabling AI assistants like Cursor and Claude Code to provide expert-level, data-driven ASO guidance, keyword research, metadata optimization, and competitor analysis.
How It Works
This project packages battle-tested ASO frameworks, scoring rubrics, and output templates into discrete "skills" that AI agents can execute. The core innovation lies in its integration with the Appeeky API, allowing agents to fetch real-time App Store data. This enables the skills to generate actionable, specific recommendations based on live market conditions, competitor data, and user reviews, rather than generic advice. Skills are designed to be modular and can reference each other, facilitating complex workflows such as an ASO audit suggesting deeper keyword research, which then informs metadata optimization.
Quick Start & Requirements
https://github.com/eronred/aso-skills.npx skills add eronred/aso-skillsgit clone https://github.com/eronred/aso-skills.git && cp -r aso-skills/skills/* .cursor/skills/ (or equivalent path for other agents).Highlighted Details
Maintenance & Community
Contributions via Pull Requests are welcomed for inaccuracies, framework improvements, or new skills. The README does not specify dedicated community channels (e.g., Discord, Slack) or highlight notable contributors.
Licensing & Compatibility
.agents/skills/, .cursor/skills/, .claude/skills/). The MIT license generally permits commercial use and integration into closed-source projects.Limitations & Caveats
Standalone skills operate with general ASO knowledge; full, data-rich functionality is contingent on obtaining and configuring an Appeeky API key.
4 days ago
Inactive