SkillHub Registry

A community-driven registry of reusable AI agent workflows

What is SkillHub?

SkillHub is a package manager for AI agent workflows, similar to how Homebrew manages packages or npm manages JavaScript libraries. When AI coding agents (like Claude Code, GitHub Copilot, or ChatGPT) complete complex tasks, they follow specific sequences of steps. SkillHub allows you to:

• Store completed AI agent workflows as reusable “skills”
• Search and discover relevant skills for your tasks
• Pull and execute skills on different environments/hardware
• Contribute new skills via GitHub Pull Requests

The Problem

When AI agents complete complex tasks (like benchmarking a model, setting up a development environment, or deploying an application), the workflow is lost after completion. Users must re-prompt similar tasks from scratch, wasting time and effort.

The Solution

SkillHub stores these workflows as structured markdown files with:

• Step-by-step instructions
• Code examples
• Troubleshooting guides
• Success criteria
• Metadata for searchability

Quick Start

Using Skills

# Install the SkillHub CLI
pip install skillhub

# Search for skills
skillhub search "benchmark model"

# Pull a skill to your local directory
skillhub pull benchmark-qwen

# List all available skills
skillhub list

# View skill details
cat benchmark-qwen.md

Contributing Skills

Easy Way (Recommended): Submit via GitHub Issue - no setup required!

1. Go to Submit a Skill
2. Paste your skill markdown
3. Submit the issue
4. A Pull Request is created automatically!

Alternative: Manual PR submission

# Fork this repository
# Create a new skill using the template
cp templates/skill-template.md skills/category/my-skill.md

# Edit the skill file
# Validate your skill
python scripts/validate_skill.py skills/category/my-skill.md

# Submit a Pull Request

See CONTRIBUTING.md for detailed guidelines.

Available Skills

Benchmarking

• benchmark-qwen - Benchmark Qwen 3B model on custom hardware with comprehensive performance metrics

Data Engineering

• etl-pipeline - Set up a production-ready ETL pipeline with data validation and monitoring

Web Development

• react-app-setup - Set up a modern React application with TypeScript, Tailwind CSS, and best practices

Automation