pip install skillhub-ai

# Three skills from three different companies → one expert
skillhub compose anthropic:claude-api openai:aspnet-core google:agent-platform-deploy -o cloud-expert

# Use it in Claude Code instantly
/cloud-expert

Why skillhub?

You install a python-patterns skill in Claude Code. You find a security-review skill in Cursor. You see a frontend-developer persona in agency-agents. They all live in different files, different formats, different tools.

The problem:

• No way to combine them — copy-pasting markdown is error-prone and tedious
• Duplicate sections silently contradict each other across files
• Skills from Anthropic, OpenAI, Microsoft, Google have no common interface
• Every agent (Claude Code, Cursor, Codex, Gemini) requires a different file format

skillhub solves this in one command:

skillhub compose anthropic:security-hardening openai:aspnet-core \
               agency-agents:frontend-developer python-patterns \
               -o my-expert --strategy ai

Features

🔀 Compose — The Only Tool That Merges Skills

Merge 2–10 skills from any source into one unified expert skill with automatic conflict detection. No other tool does this.

🤖 AI-Powered Conflict Resolution

When two skills define the same ## Error Handling section, --strategy ai sends both to Claude and gets back a single best-of-both version. No manual editing.

🌐 13 Ecosystems, One Interface

Pull from Anthropic, OpenAI, GitHub Copilot, Microsoft, Google, Vercel, and 8 more — using a simple ecosystem:skill-name prefix. All sources resolve to the same SKILL.md format.

🔍 Diff Before You Merge

See exactly which sections will conflict before composing. Green = unique to A, yellow = conflict, blue = unique to B.

📦 Pre-Built Expert Templates

5 production-ready combinations: fastapi-expert, fullstack-expert, ml-platform, pre-pr-reviewer, research-analyst. One command to expert.

🤝 Works With Every Agent

Claude Code (.claude/commands/), Cursor (.cursor/rules/), OpenAI Codex (AGENTS.md), Gemini CLI (.gemini/skills/). One skill, four agents.

Quick Start

# 1. Install
pip install skillhub-ai

# 2. Browse what's available
skillhub list
skillhub search "security"

# 3. Preview a skill before installing
skillhub info debug-agent

# 4. Install to Claude Code
skillhub install debug-agent

# 5. Install to ALL agents at once
skillhub install debug-agent --all-agents

# 6. Compose your first expert
skillhub compose --template fastapi-expert

Compose

# Simplest: registry skills
skillhub compose python-patterns security-review api-design -o fastapi-expert

# Cross-company: Anthropic + OpenAI + Google
skillhub compose anthropic:claude-api openai:aspnet-core google:agent-platform-deploy -o cloud-expert

# Mix everything: community + local + any ecosystem
skillhub compose agency-agents:frontend-developer ./my-standards.md skills.sh:react-expert -o our-expert

# Preview without writing
skillhub compose python-patterns security-review -o test --dry-run

What happens when you compose:

python-patterns  +  security-review  +  api-design
       │                  │                  │
       └──────────────────┴──────────────────┘
                          │
                    Fetch each source
                    Parse ## sections
                    Detect conflicts
                          │
              ┌───────────┴───────────┐
       first-wins (default)         ai (Claude)
       first skill wins         merges both intelligently
              └───────────┬───────────┘
                          │
            .claude/commands/fastapi-expert.md
                          │
                  /fastapi-expert ✓

AI-Powered Merge

pip install "skillhub-ai[ai]"
export ANTHROPIC_API_KEY=sk-...

skillhub compose python-patterns security-review -o secure-python --strategy ai

Diff Before You Merge

skillhub diff python-patterns security-review

Comparing: python-patterns  vs  security-review
────────────────────────────────────────────────
✅ Only in python-patterns (6):   Type Annotations, Async Patterns, Dataclasses...
✅ Only in security-review  (5):  OWASP Top 10, Input Validation, Auth Patterns...
⚠️  Conflicts (2):               Error Handling, Code Review Checklist

Pre-Built Expert Templates

skillhub templates
skillhub compose --template fastapi-expert
skillhub compose --template ml-platform --strategy ai

The 13 Ecosystems

skillhub compose \
  anthropic:claude-api \               # Anthropic official
  openai:aspnet-core \                 # OpenAI official
  copilot:acquire-codebase-knowledge \ # GitHub Copilot official
  microsoft:skill-creator \            # Microsoft official
  google:agent-platform-deploy \       # Google official
  addyosmani:code-review-and-quality \ # Addy Osmani
  scientific:astropy \                 # K-Dense AI
  antigravity:ab-test-setup \          # Antigravity/OpenClaw
  gamedev:godot-2d-movement \          # Game Dev Skills
  tech-leads:domain-analysis \         # Tech Leads Club
  agency-agents:frontend-developer \   # Agency Agents
  debug-agent \                        # skillhub registry
  -o the-ultimate-expert

Install to Any Agent

skillhub install debug-agent                  # Claude Code (default)
skillhub install debug-agent --agent cursor   # Cursor
skillhub install debug-agent --agent codex    # OpenAI Codex
skillhub install debug-agent --agent gemini   # Gemini CLI
skillhub install debug-agent --all-agents     # all 4 at once
skillhub install debug-agent --dry-run        # preview only

Cross-Ecosystem Recipes

# Ultimate Python expert — 3 sources, AI-merged
skillhub compose python-patterns security-review api-design -o python-expert --strategy ai

# Enterprise frontend — community + production-grade + patterns
skillhub compose agency-agents:frontend-developer addyosmani:code-review-and-quality \
  react-patterns -o enterprise-frontend --strategy ai

# Cloud AI expert — Anthropic + Google + Microsoft official skills
skillhub compose anthropic:claude-api google:agent-platform-deploy \
  microsoft:skill-creator -o cloud-ai-expert

# Scientific Python — K-Dense AI + skillhub registry
skillhub compose scientific:astropy python-patterns rag-evaluator -o research-scientist

# Pre-PR gate (template + AI merge)
skillhub compose --template pre-pr-reviewer --strategy ai

Create & Publish Your Own Skill

skillhub init our-coding-standards    # scaffold SKILL.md template
# edit SKILL.md with your team's conventions
skillhub install our-coding-standards/  # test locally
skillhub publish our-coding-standards/  # open PR to registry

---
name: our-coding-standards
description: Backend coding standards for our team
version: 1.0.0
tags: [python, standards, backend]
agents: [claude, cursor, codex, gemini]
---

## When to Use
Apply when writing, reviewing, or refactoring any backend code.

## Core Rules
- All functions must have type annotations
- Use dataclasses over plain dicts for structured data

## Examples
...

All Commands

# Discovery
skillhub list                              # browse all 26 skills
skillhub list --installed                  # skills in this project
skillhub search <query>                    # search by keyword
skillhub search <query> --tag <tag>        # filter by tag
skillhub info <name>                       # full preview

# Install & Manage
skillhub install <name>                    # Claude Code (default)
skillhub install <name> --agent cursor     # Cursor
skillhub install <name> --all-agents       # all 4 agents
skillhub install <name> --dry-run          # preview without writing
skillhub install <name> --overwrite        # replace existing
skillhub uninstall <name>                  # remove
skillhub update                            # update all installed

# Compose
skillhub compose <a> <b> ... -o <name>             # merge (first-wins)
skillhub compose <a> <b> ... -o <name> --strategy ai  # Claude AI merge
skillhub compose --template <name>                 # pre-built template
skillhub compose --template <name> --strategy ai   # template + AI merge
skillhub compose <a> <b> -o <name> --dry-run       # preview only
skillhub templates                                 # list 5 templates

# Cross-ecosystem (any prefix works)
skillhub compose anthropic:security openai:aspnet-core -o expert
skillhub diff anthropic:claude-api openai:aspnet-core

# Diff
skillhub diff <a> <b>                      # compare section by section

# Create & Publish
skillhub init <name>                       # scaffold new SKILL.md
skillhub publish <path>                    # PR to registry

Available Skills (34)

Contributing

skillhub is a community registry — every skill you add helps thousands of developers.

1. Fork this repo
2. Add your skill: skillhub init <name> then edit skills/<name>/SKILL.md
3. Add an entry to registry/index.json
4. Open a PR

Or in one command: skillhub publish <name>/

What makes a good skill? Focused on one domain, has ## When to Use and ## Core Rules, works well when composed with other skills, gives concrete examples over vague advice.

Author

Built by Chandrashekar DP — Senior AI/ML Engineer, Bengaluru.

If skillhub saves you time, a ⭐ helps others find it.

License

MIT — use it, fork it, build on it.