skill and awesome-skills

Both are curated lists of agent skills, making them direct competitors as they serve the same purpose of providing discoverability for AI coding and agent tools.

skill
42
Emerging
awesome-skills
42
Emerging
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 15/25
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 15/25
Stars: 14
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 12
Forks: 4
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
No Package No Dependents

About skill

x-cmd/skill

Human-vetted, community-curated skills for AI coding & agent tools.

Provides vetted skill modules for AI agents across platforms (Claude, etc.) with embedded data storage for licensing consistency and offline access via git. Each skill undergoes community review to ensure reliability, with source code and datasets stored directly in the repository rather than referenced externally. Supports mixed licensing models, allowing inclusion of third-party skills while maintaining Apache 2.0 as the primary license.

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