antigravity-awesome-skills and learn

The collection of over 1000 agentic skills (A) is a resource designed to be discovered and installed through a skill-finding and installation tool (B), making them complements in an agentic workflow ecosystem.

learn
40
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 11/25
Community 24/25
Maintenance 13/25
Adoption 4/25
Maturity 9/25
Community 14/25
Stars: 23,847
Forks: 4,099
Downloads:
Commits (30d): 533
Language: Python
License: MIT
Stars: 7
Forks: 3
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
No Package No Dependents

About antigravity-awesome-skills

sickn33/antigravity-awesome-skills

The Ultimate Collection of 1000+ Agentic Skills for Claude Code/Antigravity/Cursor. Battle-tested, high-performance skills for AI agents including official skills from Anthropic and Vercel.

Provides an installable skill library distributed via CLI (`npx antigravity-awesome-skills`) that places reusable markdown playbooks into tool-specific directories for Claude Code, Cursor, Gemini CLI, and others. Organizes 1,331+ skills into curated bundles and multi-step workflows, separating operating instructions (skills) from external capabilities (MCP tools) to support planning, security, infrastructure, and product workflows. Integrates with major AI IDEs and agents through both direct installation paths and marketplace plugins, enabling natural invocation syntax like `@brainstorming` within agent conversations.

About learn

agentskill-sh/learn

Find & install agent skills. The /learn command for Claude Code, Codex, Cursor, Copilot, and more.

Performs local security scanning on skills before installation and tracks user ratings to surface quality—addressing vulnerabilities from malicious skill files. Integrates with Claude Code, Cursor, Copilot, and seven other AI agent platforms via a standardized skill metadata format, querying a 40,000+ skill directory API with context-aware recommendations based on project analysis.

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