skills.rest
Lingjie-chen
Lingjie-chenCOMMUNITY
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skill-seekers

Generate LLM skills by analyzing codebases, documentation websites, and GitHub repositories.

Updated Aug 23, 2026
Search Tags:#code analysis#documentation#github#llm#rag#ai skills
One-click install
npx skills add https://github.com/Lingjie-chen/MT5 --skill skill-seekers-lingjie-chen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-seekers
Source: https://github.com/Lingjie-chen/MT5/tree/main/.trae/skills/skill-seekers
Command: npx skills add https://github.com/Lingjie-chen/MT5 --skill skill-seekers-lingjie-chen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of AI-ready skills by processing diverse data sources like documentation, codebases, and GitHub repositories, streamlining the development of intelligent agents.

Core Features & Use Cases

  • Codebase Analysis: Deeply analyzes code to extract APIs, dependencies, patterns, and examples.
  • Documentation Conversion: Transforms websites and PDFs into structured skill components.
  • GitHub Integration: Directly ingests repositories to build comprehensive skills.
  • Use Case: You have a complex internal Python library. Use this Skill to analyze its codebase, generate API documentation, and create a skill that allows an AI assistant to understand and use the library effectively.

Quick Start

Use skill-seekers to analyze your local project directory.

Frequently Asked Questions about skill-seekers

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

FAQPage Schema
How do I generate LLM skills from a codebase?▼

You can generate LLM skills from a codebase by analyzing local project directories to extract API references, dependency graphs, design patterns, and test examples into structured skill components.

Can I create AI skills directly from GitHub repositories?▼

Yes, you can create AI skills directly from GitHub repositories by ingesting the repository data to build comprehensive skills that include architectural insights and configuration patterns.

How do I convert markdown documentation into structured AI skill components?▼

You convert markdown documentation into structured AI skill components by processing websites and PDFs through the documentation conversion feature, which transforms them into AI-ready formats.

Does codebase analysis extract usage examples from test files?▼

Yes, codebase analysis extracts usage examples directly from test files, alongside identifying API references, dependency graphs, and configuration patterns within your source code.

What is the best way to automate AI agent creation from internal Python libraries?▼

The best way to automate AI agent creation from internal Python libraries is to analyze the codebase to generate API documentation and create a skill that allows an AI assistant to understand and use the library effectively.

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