awesome-agent-skills and awesome-skills

These are competing curated lists that serve the same purpose—aggregating skills and tools for AI coding agents—with A being the more established and comprehensive resource based on its significantly higher adoption.

awesome-agent-skills
52
Established
awesome-skills
42
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 13/25
Community 19/25
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 15/25
Stars: 2,949
Forks: 254
Downloads:
Commits (30d): 0
Language:
License: MIT
Stars: 12
Forks: 4
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
No Package No Dependents

About awesome-agent-skills

heilcheng/awesome-agent-skills

A curated list of skills, tools, tutorials, and capabilities for AI coding agents (Claude, Codex, Antigravity, Copilot, VS Code)

Organizes skills as lazy-loaded instruction files (`SKILL.md`) that AI agents browse, request, and execute on-demand—reducing memory overhead while supporting multiple agent platforms (Claude, Copilot, Codex, Gemini). Aggregates official skill collections from Anthropic, OpenAI, and HuggingFace alongside community-maintained repositories covering document processing, development tools, and domain-specific capabilities. Skills work across agents and delivery mechanisms including CLI installers, MCP, and package managers.

About awesome-skills

gmh5225/awesome-skills

A curated list of Agent Skills, resources, and tools for AI coding agents like Claude Code, Codex, Gemini CLI, GitHub Copilot, and more.

The collection organizes Skills using a **progressive disclosure architecture** where agents first scan lightweight metadata (~100 tokens) to identify relevance, then load full instructions (<5k tokens) and bundled resources on-demand—minimizing token overhead. Skills are standardized as folders with `SKILL.md` metadata files plus optional scripts, templates, and resources, enabling dynamic discovery across 15+ agent platforms (Claude Code, Copilot, Cursor, Gemini CLI, Codex, and conversational tools like Coze). The registry maps platform-specific skill directories and includes official implementations from Anthropic, OpenAI, HuggingFace, and Vercel teams.

Scores updated daily from GitHub, PyPI, and npm data. How scores work