skills.rest
bahayonghang
bahayonghangCOMMUNITY
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skill-seekers

Generate Claude Code skills from documentation, codebases, and GitHub repositories.

16|1|Updated Jan 2, 2026
Search Tags:#automation#multi-source#codebase-analysis#skill-generation#documentation-analysis
One-click install
npx skills add https://github.com/bahayonghang/my-claude-code-settings --skill skill-seekers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-seekers
Source: https://github.com/bahayonghang/my-claude-code-settings/tree/main/skills/skill-seekers
Command: npx skills add https://github.com/bahayonghang/my-claude-code-settings --skill skill-seekers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the generation of Claude Code skills from documentation, codebases, and GitHub data, enabling rapid creation and deployment of AI-assisted capabilities.

Core Features & Use Cases

  • Multi-source analysis: converts docs, source code, and GitHub data into structured skills with SKILL.md frontmatter and references.
  • Modular packaging: produces installable skill packages across Claude Code, Gemini, OpenAI, or Markdown outputs.
  • Use Cases: generate a Claude-ready skill from a repository to accelerate AI-assisted development workflows and knowledge bases.

Quick Start

  1. Provide a skill name and description, and specify source paths or URLs to analyze.
  2. Run the skill seeker to generate SKILL.md, references, and packaging assets.
  3. Package for your target platform and optionally upload or enhance the skill with AI.

Frequently Asked Questions about skill-seekers

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

FAQPage Schema
How do I generate Claude Code skills from existing documentation and codebases?▼

To generate Claude Code skills, provide a skill name, description, and source paths to analyze. The tool processes local code, docs, and GitHub issues to produce a modular, installable skill with SKILL.md frontmatter and references.

What is the best way to turn GitHub repositories into installable AI skills?▼

Turning GitHub repositories into installable AI skills involves multi-source analysis of the repo data and source code. This process extracts structural knowledge to package into modular skills for Claude Code, Gemini, OpenAI, or Markdown outputs.

Can I package generated skills for platforms other than Claude Code?▼

Yes, you can package generated skills for multiple platforms. The skill generation process supports modular packaging targets across Claude Code, Gemini, OpenAI, and Markdown outputs to fit various AI-assisted development workflows.

Does the skill generation process work with local docs and GitHub issues simultaneously?▼

Yes, the skill generation process works with local docs and GitHub issues simultaneously. It performs multi-source analysis across local code, documentation, and GitHub data to create structured skills with accurate references.

How do I structure a generated skill package after analyzing a codebase?▼

After analyzing a codebase, the generated skill package is structured with a SKILL.md file containing frontmatter and optional assets. It includes modular references to ensure the skill is immediately installable and usable.

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