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roboalchemist
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llm-code-docs

Retrieve and index documentation from llms.txt sites and Git repositories.

6|3|Updated Sep 8, 2025
Search Tags:#automation#developer tools#documentation#frameworks#LLM#AI#code
One-click install
npx skills add https://github.com/roboalchemist/llm-code-docs --skill llm-code-docs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-code-docs
Source: https://github.com/roboalchemist/llm-code-docs/tree/main/.claude/skills/llm-code-docs
Command: npx skills add https://github.com/roboalchemist/llm-code-docs --skill llm-code-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers and AI agents often struggle to find up-to-date, consistent, and AI-optimized documentation across a vast and rapidly evolving ecosystem of frameworks and tools. This Skill centralizes and automates the collection and maintenance of such documentation, making it easily searchable and consumable for AI. It eliminates the manual effort of searching disparate sources and ensures documentation is always current, saving significant time and reducing complexity in AI-assisted development workflows.

Core Features & Use Cases

  • Centralized AI-Ready Docs: Access over 245 frameworks and tools, with documentation optimized for LLM consumption, ensuring your AI has the best context.
  • Automated Updates: Keep all documentation current with upstream sources using simple, scheduled commands, so you always work with the latest information.
  • Flexible Sourcing: Integrates llms.txt standard sites, GitHub repositories, and custom web scrapes, providing comprehensive coverage.
  • Use Case: An AI agent needs to implement a feature using FastAPI. Use this Skill to quickly search and retrieve the latest FastAPI documentation on authentication patterns, middleware, or data validation, without needing to browse the web or verify source freshness.

Quick Start

Use the llm-code-docs skill to find documentation for FastAPI's authentication patterns.

Frequently Asked Questions about llm-code-docs

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

FAQPage Schema
How do I access documentation for 200+ frameworks and tools optimized for AI?▼

This Skill centralizes AI-ready documentation for 245+ frameworks across llms.txt sites, Git repositories, and web sources. Search and retrieve up-to-date docs for any supported tool—FastAPI, Django, React, or others—without manual verification or web browsing.

Can I automate updates to my local documentation index?▼

Yes. The Skill uses scheduled commands (update-index, llms-txt-scraper) to automatically sync documentation from upstream sources, keeping your index current with the latest library and framework versions without manual effort.

What documentation sources does this cover?▼

The Skill integrates 228+ llms.txt standard sites, 14 Git repositories, and custom web-scraped sources. It retrieves, verifies, and indexes documentation for frameworks, libraries, and developer tools in a single searchable repository.

Do I need to set up anything before using this Skill?▼

Yes. You need a local repository at ~/github/llm-code-docs, Python 3, and Bash tooling. The Skill provides CLI scripts and Python-based extractors for data retrieval, indexing, and updates once these prerequisites are in place.

How does this help AI agents find accurate framework documentation?▼

The Skill enables AI agents to retrieve verified, framework-specific documentation (authentication patterns, middleware, data validation) directly from a centralized, continuously updated index instead of searching the web or relying on stale sources.

Can I index custom frameworks or tools beyond the 245+ included?▼

The Skill supports flexible sourcing through llms.txt standards, GitHub repository integration, and custom web scraping. You can extend coverage by adding sources; the extract_docs and update-index tools handle ingestion and index generation.

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