github-to-skills skill

---
name: github-to-skills
description: Automated factory for converting GitHub repositories into specialized AI skills. Use this skill when the user provides a GitHub URL and wants to "package", "wrap", or "create a skill" from it. It automatically fetches repository details, latest commit hashes, and generates a standardized skill structure with enhanced metadata suitable for lifecycle management.
category: skill-management
tags:
  - github
  - automation
  - skill-creation
  - lifecycle
license: MIT
---

# GitHub to Skills Factory

This skill automates the conversion of GitHub repositories into fully functional AI skills.

## Core Functionality

1. **Analysis**: Fetches repository metadata (Description, README, Latest Commit Hash).
2. **Scaffolding**: Creates a standardized skill directory structure.
3. **Metadata Injection**: Generates `SKILL.md` with extended frontmatter (tracking source, version, hash) for future automated management.
4. **Wrapper Generation**: Creates a `scripts/wrapper.py` (or similar) to interface with the tool.

## Usage

**Trigger**: `/GitHub-to-skills <github_url>` or "Package this repo into a skill: <url>"

### Required Metadata Schema

Every skill created by this factory MUST include the following extended YAML frontmatter in its `SKILL.md`. This is critical for the `skill-manager` to function later.

```yaml
---
name: <kebab-case-repo-name>
description: <concise-description-for-agent-triggering>
# EXTENDED METADATA (MANDATORY)
github_url: <original-repo-url>
github_hash: <latest-commit-hash-at-time-of-creation>
version: <tag-or-0.1.0>
created_at: <ISO-8601-date>
entry_point: scripts/wrapper.py # or main script
dependencies: # List main dependencies if known, e.g., ["yt-dlp", "ffmpeg"]
---
```

## Workflow

1. **Fetch Info**: The agent first runs `scripts/fetch_github_info.py` to get the raw data from the repo.
2. **Plan**: The agent analyzes the README to understand how to invoke the tool (CLI args, Python API, etc.).
3. **Generate**: The agent uses the `skill-creator` patterns to write the `SKILL.md` and wrapper scripts, ensuring the **extended metadata** is present.
4. **Verify**: Checks if the commit hash was correctly captured.

## Resources

- `scripts/fetch_github_info.py`: Utility to scrape/API fetch repo details (README, Hash, Tags).
- `scripts/create_github_skill.py`: Orchestrator to scaffold the folder and write the initial files.

## Best Practices for Generated Skills

- **Isolation**: The generated skill should install its own dependencies (e.g., in a venv or via `uv`/`pip`) if possible, or clearly state them.
- **Progressive Disclosure**: Do not dump the entire repo into the skill. Only include the necessary wrapper code and reference the original repo for deep dives.
- **Idempotency**: The `github_hash` field allows the future `skill-manager` to check `if remote_hash != local_hash` to trigger updates.