githubclaw-json-generator

Generate standardized githubclaw.json metadata from SKILL.md files.

252|52|Updated Mar 22, 2026

Search Tags:#automation #tooling #metadata #skill-management #generator #githubclaw

Ready to run

npx skills add https://github.com/duotify/GitHubClawToolkit --skill githubclaw-json-generator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: githubclaw-json-generator
Source: https://github.com/duotify/GitHubClawToolkit/tree/main/.agents/skills/githubclaw-json-generator
Command: npx skills add https://github.com/duotify/GitHubClawToolkit --skill githubclaw-json-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GitHubClawToolkit 專案中每個技能或模板目錄都需要符合 githubclaw.json 的標準格式。本工具自動產生與填充元資料，減少手動維護的錯誤與重複工作。

Core Features & Use Cases

自動擷取 SKILL.md 的 name、description、required_env，並結合 README、package.json 等資訊完善版本與描述。
支援批次處理，能為多個技能/模板目錄同時產生 githubclaw.json，確保一致性。
為 GitHubClawCore 提供可解析的結構化元資料，便於搜尋與自動化處理。

Quick Start

Run this skill to generate githubclaw.json metadata for target skill or template directories.

Frequently Asked Questions about githubclaw-json-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automatically generate standardized skill metadata for my repository?▼

You can automatically generate standardized skill metadata by running a tool that reads SKILL.md and related files to populate a githubclaw.json file with required fields like name, tagline, description, and version.

What is the best way to maintain consistent JSON metadata across multiple skill directories?▼

The best way to maintain consistent JSON metadata across multiple skill directories is using batch processing to automatically extract information from SKILL.md and populate all required fields simultaneously.

Can I extract required environment variables and descriptions directly from SKILL.md?▼

Yes, you can extract required environment variables and descriptions directly from SKILL.md files, combining that data with README and package.json information to complete the metadata schema.

How does automated metadata generation work for GitHubClawToolkit projects?▼

Automated metadata generation works by reading source files like SKILL.md and README, extracting key attributes, and mapping them into a structured githubclaw.json format that GitHubClawCore can parse for search and automation.

Do I need to manually edit githubclaw.json after generating it with batch processing?▼

No, batch processing populates all required fields including name, tagline, description, version, category, and requireEnv according to the schema, minimizing manual editing and reducing maintenance errors.