awesome-agent-skills and ai-agent-skills

awesome-agent-skills
50
Established
ai-agent-skills
44
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 11/25
Community 16/25
Maintenance 10/25
Adoption 10/25
Maturity 11/25
Community 13/25
Stars: 383
Forks: 39
Downloads:
Commits (30d): 0
Language: Shell
License: CC0-1.0
Stars: 140
Forks: 15
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
No Package No Dependents
No Package No Dependents

About awesome-agent-skills

JackyST0/awesome-agent-skills

🤖 精选的 AI Agent Skills 列表,适用于 Cursor、Claude Code、GitHub Copilot 等 AI 编程工具

Curated registry of modular instruction packages (Skills) that extend AI coding assistants with domain-specific capabilities via standardized `SKILL.md` files. Supports cross-platform installation across Cursor, Claude Code, GitHub Copilot, Windsurf, and other tools through platform-specific directories (`~/.cursor/skills/`, `~/.claude/skills/`, etc.). Includes one-click installers and searchable online directory alongside categorized collections spanning development tools, DevOps, data processing, and writing workflows.

About ai-agent-skills

wednesday-solutions/ai-agent-skills

Pre-configured agent skills for Vibe Coded projects. These skills provide AI coding assistants (Claude Code, Cursor, etc.) with specific guidelines for code quality and design standards.

Integrates deeply with Claude Code, Cursor, and Gemini CLI as configuration files (`.cursorrules`, `CLAUDE.md`, etc.) rather than standalone scripts, enabling AI assistants to enforce Wednesday Solutions' conventions without API calls. Core architecture uses SQLite graph databases (`graph.db`) built from AST parsing and git history to power deterministic codebase queries—enabling features like risk scoring, drift detection, and architecture-boundary validation without hallucination-prone LLM reads of raw source files. Covers the full lifecycle from greenfield planning (parallel Architect/PM/Security personas) through brownfield intelligence (structural queries, test generation, deployment checklists) and git discipline (conventional commits, PR automation, semantic fix queues).

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