llm-docs

Extract codebase documentation into structured Markdown under docs/llm.

1|Updated Apr 2, 2026

Search Tags:#documentation #orchestration #repo #phase-based #coding-assistance #llm-docs

Ready to run

npx skills add https://github.com/mec07/claude_skills --skill llm-docs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-docs
Source: https://github.com/mec07/claude_skills/tree/main/stow/llm-docs
Command: npx skills add https://github.com/mec07/claude_skills --skill llm-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires .

What problem does it solve?

This legacy skill generates verbose LLM documentation for a repository, enabling agents to reason about codebases with layered context.

Core Features & Use Cases

Documentation layer generation: produces detailed docs under docs/llm/ for agent navigation and domain context.
Domain context and routing guidance: structures the docs to support cross-tool workflows and agent routing patterns.
Migration reference: demonstrates orchestration patterns and serves as a reference for migrating to RepoSkills.

Quick Start

Run the llm-docs skill to generate verbose LLM documentation for the repository.

Frequently Asked Questions about llm-docs

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

FAQPage Schema

How do I generate documentation for an LLM to understand my codebase?▼

Generate LLM documentation by extracting meaningful codebase context into a structured Markdown layer under docs/llm/. This enables agents to reason about code relationships, commands, and scripts with high-signal context.

What is the best way to structure repository docs for AI coding assistance?▼

Structuring repository docs for AI coding assistance involves organizing outputs under docs/llm/ with validated file paths, commands, and dependencies. This phase-based approach preserves existing documentation while guiding agent actions across modules.

Can I generate LLM documentation for repositories of various sizes?▼

Yes, LLM documentation generation applies to repositories of various sizes. It captures existing docs, code relationships, commands, and scripts to guide agent actions across modules regardless of scale.

How do I migrate verbose documentation to a RepoSkills orchestration pattern?▼

Migrate verbose documentation to RepoSkills by using the generated docs/llm/ layer as a migration reference. It demonstrates orchestration patterns and preserves structured context during the transition to RepoSkills.

Does generating an LLM documentation layer validate against the source code?▼

Yes, generating an LLM documentation layer requires validating against the source code. It links to exact file paths, commands, and dependencies to ensure the structured Markdown accurately reflects the repository.