alirezarezvani / claude-skills
The largest cross-platform library of AI coding agent skills, turning generic coding assistants into domain experts across 13 tools.
活跃维护 MIT Python Tracked
25.2k 3.6k 3 天前
CIPyPI
agentic-ai anthropic-claude claude-ai claude-code claude-skills claude-code-skills ai-coding-agent claude-code-plugins developer-tools openai-codex prompt-engineering agent-plugins agent-skills codex-skills cursor-skills gemini-cli-skills coding-agent-plugins openclaw openclaw-skills openclaw-plugins
星标趋势
数据积累中,暂无足够数据生成趋势图
AI 分析
项目摘要
A comprehensive open-source library of 362+ production-ready skills, plugins, and agent skills for 13 AI coding tools including Claude Code, OpenAI Codex, Gemini CLI, Cursor, and others. It provides modular instruction packages covering engineering, marketing, compliance, C-level advisory, research operations, and productivity workflows.
为什么值得关注
With 23,000+ stars, this is the most extensive cross-platform collection of AI coding agent skills available, enabling developers to extend their AI coding assistants with domain-specific expertise across multiple tools simultaneously.
优势
- Massive cross-platform collection (362+ skills for 13 AI coding tools)
- Broad domain coverage beyond coding: marketing, compliance, C-level advisory, research operations
- Active maintenance with 5 releases in 6 months and CI pipeline
- Standardized SKILL.md format with 644 stdlib-only Python CLI scripts
- MIT license enabling broad adoption and customization
局限性
- No automated tests despite claiming production readiness
- No Docker support for containerized deployment
- Quality control may be challenging across 362+ skills
- README appears incomplete/cut off in documentation
使用场景
- Extending AI coding agents with domain-specific expertise (marketing, compliance, finance)
- Standardizing agent behavior across multiple AI coding tools in an enterprise
- Adding C-level advisory personas and research workflows to coding assistants
- Rapidly deploying pre-built productivity skills (email, meetings, deep-work) to any supported agent
目标用户: Developers and engineering teams using AI coding assistants who want to customize and extend their agents with domain-specific skills across multiple platforms
学习曲线: 中
分析模型:LongCat-2.0 | 分析时间:1 个月前