SkillKit

Universal skill management for AI coding agents

Skills make AI coding agents smarter. But every agent uses a different format — Claude Code wants .claude/skills/, Cursor uses .mdc, Copilot expects .github/skills/. You end up rewriting the same skill three times, or locking into one platform.

SkillKit fixes this. Write a skill once, deploy it to all 45 agents.

Get Started

npx skillkit@latest

That's it. No global install needed. Or if you prefer:

npm install -g skillkit
skillkit init
skillkit install anthropics/skills
skillkit sync

Four commands. Your agents now have skills for PDF processing, code review, and more.

What Can You Do?

Install skills from anywhere

skillkit install anthropics/skills              # GitHub  
skillkit install skills.sh/owner/repo/skill     # skills.sh registry  
skillkit install gitlab:team/skills             # GitLab  
skillkit install ./my-local-skills              # Local

Translate between agents

Write for Claude, deploy to Cursor:

skillkit translate my-skill --to cursor
skillkit translate --all --to windsurf      # All skills at once

Get smart recommendations

SkillKit reads your package.json, detects your stack, and suggests relevant skills:

skillkit recommend
# 92% vercel-react-best-practices
# 87% tailwind-v4-patterns
# 85% nextjs-app-router

Discover skills at runtime

Start an API server and let agents find skills on demand:

skillkit serve
# Server running at http://localhost:3737

curl "http://localhost:3737/search?q=react+performance"

Or use MCP for native agent integration:

{
  "mcpServers": {
    "skillkit": { "command": "npx", "args": ["@skillkit/mcp"] }
  }
}

How It Works

SkillKit sits between your skills and your agents. It handles format translation, discovery, and synchronization automatically.

Layer	What It Does
CLI + TUI	Install, translate, recommend, sync
APIs	REST server on :3737, MCP via stdio
Core	Translation engine, relevance ranker, skill parser
Data	15,000+ skills from 31 curated sources

Supported Agents

45 agents and counting:

Security scanning

Every skill is scanned for threats before installation — prompt injection, hardcoded secrets, command injection, and more:

skillkit scan ./my-skill                     # 46+ detection rules
skillkit scan ./my-skill --format sarif      # GitHub Code Scanning
skillkit scan ./my-skill --fail-on high      # CI gate

Beyond Basic Skills

Session Memory

Your AI agents learn patterns during sessions, then forget everything. SkillKit captures those learnings and makes them permanent.

skillkit memory compress
skillkit memory search "auth patterns"
skillkit memory export auth-patterns

Session Intelligence

Track skill executions, generate handoff documents for agent switching, and view skill impact lineage:

skillkit timeline                    # Unified event stream
skillkit session handoff             # Agent-to-agent context
skillkit lineage                     # Skill impact graph

Primer

Auto-generate CLAUDE.md, .cursorrules, and agent instructions by analyzing your codebase:

skillkit primer --all-agents

Mesh Network

Distribute agents across machines with encrypted P2P:

skillkit mesh init
skillkit mesh discover

Team Collaboration

Share skills via a Git-committable .skills manifest:

skillkit manifest init
skillkit manifest add anthropics/skills
git commit -m "add team skills"

Team members run skillkit manifest install and they're in sync.

Next Steps

Installation — Install and configure
Quick Start — First project setup
Methodology Packs — Debugging, testing, planning skills
Security Scanner — Threat detection for skills
Commands — Full CLI reference
REST API — Runtime discovery server
MCP Server — Agent-native discovery
Python Client — Python SDK

Current version: v1.19.2