GitHub仓库转AI技能工具 | 自动生成标准化技能模板与元数据

github-to-skills by kkkkhazix/khazix-skills

258 周安装量

1,000 GitHub Stars

GitHub

安装命令

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

AI/机器学习开发自动化

🇨🇳中文介绍

GitHub 到技能工厂

此技能可将 GitHub 仓库自动转换为功能完备的 AI 技能。

核心功能

分析：获取仓库元数据（描述、README、最新提交哈希值）。
脚手架：创建标准化的技能目录结构。
元数据注入：生成带有扩展 frontmatter（跟踪来源、版本、哈希值）的 SKILL.md，以便未来进行自动化管理。
包装器生成：创建一个 scripts/wrapper.py（或类似文件）以与该工具交互。

使用方法

触发方式：/GitHub-to-skills <github_url> 或 "将此仓库打包成技能："

必需的元数据模式

此工厂创建的每个技能必须在其 SKILL.md 中包含以下扩展的 YAML frontmatter。这对于后续 skill-manager 的正常运行至关重要。

---
name: <kebab-case-repo-name>
description: <concise-description-for-agent-triggering>
# 扩展元数据（必需）
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 # 或主脚本
dependencies: # 如果知道，列出主要依赖项，例如 ["yt-dlp", "ffmpeg"]
---

广告位招租

在这里展示您的产品或服务

触达数万 AI 开发者，精准高效

联系我们

🇺🇸English

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.

Weekly Installs

232

Repository

kkkkhazix/khazix-skills

GitHub Stars

986

First Seen

Jan 23, 2026

Security Audits

Gen Agent Trust HubFail SocketPass SnykWarn

Installed on

opencode191

gemini-cli172

codex165

claude-code152

cursor143

github-copilot134