Skill is a skill library and package manager for AI agents that aggregates and organizes capabilities across multiple domains.
The tool addresses the challenge of discovering and managing AI agent skills by maintaining a comprehensive, automatically updated repository. It combines two sources: official skills from major organizations like Anthropic, Vercel, Cloudflare, and Hugging Face, alongside curated local skills focused on Chinese-language use cases. The project automatically crawls external skill repositories every twenty-four hours to stay current, then organizes all skills by function, source, and popularity metrics. Skills can be exported in JSON and CSV formats for analysis and integration into other systems.
Developers should adopt this tool if they are building AI agent applications and need quick access to pre-built capabilities without creating skills from scratch. It suits projects requiring document processing, content creation, programming assistance, machine learning workflows, or automation tasks. The local skill collection emphasizes content publishing workflows, including integrations with WeChat, social media platforms, and markdown processing, making it particularly valuable for teams working in Chinese-language environments or targeting Chinese platforms. The dual-source approach means users can choose between officially maintained skills from established technology companies or community-contributed skills tailored to specific verticals.
The project receives regular automated updates to its official skill collection through scheduled crawling. The local skill collection appears to be manually curated and maintained. The repository includes comprehensive documentation of skill sources and categorization, suggesting active organization of the library structure.
