How do I install github-to-skills?

Run `npx skills add https://github.com/kkkkhazix/khazix-skills --skill github-to-skills` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does github-to-skills support?

github-to-skills works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is github-to-skills free to use?

Yes. github-to-skills is free to install and use. It is available from the open Skills registry published by kkkkhazix.

Productivity

github-to-skills▌

Name: github-to-skills
Availability: InStock
Author: kkkkhazix

kkkkhazix/khazix-skills · updated Apr 8, 2026

$npx skills add https://github.com/kkkkhazix/khazix-skills --skill github-to-skills

summary

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

skill.md

GitHub to Skills Factory

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

Core Functionality

Analysis: Fetches repository metadata (Description, README, Latest Commit Hash).
Scaffolding: Creates a standardized skill directory structure.
Metadata Injection: Generates SKILL.md with extended frontmatter (tracking source, version, hash) for future automated management.
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: "

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.

---
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

Fetch Info: The agent first runs scripts/fetch_github_info.py to get the raw data from the repo.
Plan: The agent analyzes the README to understand how to invoke the tool (CLI args, Python API, etc.).
Generate: The agent uses the skill-creator patterns to write the SKILL.md and wrapper scripts, ensuring the extended metadata is present.
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.