llms-txt-support

Detect and fetch llms.txt documentation variants from a base URL.

Updated Mar 11, 2026
One-click install
npx skills add https://github.com/robit-man/transcribe-cli --skill llms-txt-support-robit-man
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llms-txt-support
Source: https://github.com/robit-man/transcribe-cli/tree/main/.claude/skills/llms-txt-support
Command: npx skills add https://github.com/robit-man/transcribe-cli --skill llms-txt-support-robit-man

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of accessing LLM-optimized documentation by intelligently detecting and fetching llms.txt files, significantly accelerating documentation ingestion.

Core Features & Use Cases

  • Prioritized Fetching: Checks for llms-full.txt, llms.txt, and llms-small.txt in order.
  • Content Validation: Verifies fetched content is actual documentation, not error pages.
  • Use Case: When onboarding a new API, use this Skill to quickly retrieve its LLM-friendly documentation instead of scraping the entire website, enabling faster integration.

Quick Start

Check the base URL for an llms.txt file and fetch the most appropriate variant.

Frequently Asked Questions about llms-txt-support

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

FAQPage Schema
How do I fetch LLM-optimized documentation for a specific website?

To fetch LLM-optimized documentation, provide a base URL and the system will automatically detect and retrieve available llms.txt variants, prioritizing complete, standard, or condensed versions based on availability.

What is the llms.txt format and when do I need it for content ingestion?

The llms.txt format provides LLM-optimized documentation files that streamline content ingestion. You need it when onboarding new APIs or retrieving documentation without scraping entire websites, accelerating integration.

Does the fetching process validate whether the retrieved content is actual documentation?

Yes, the fetching process includes content validation to verify that retrieved files are actual documentation. This mitigates risks of ingesting error pages or irrelevant data during content ingestion.

What's the best way to retrieve condensed vs complete documentation variants?

The best way to retrieve documentation variants is through prioritized fetching, which checks for llms-full.txt, llms.txt, and llms-small.txt in order, automatically selecting the most appropriate version based on availability and context.

Can I use this approach to onboard new APIs faster instead of traditional web scraping?

Yes, you can use this approach to onboard new APIs faster by retrieving LLM-friendly documentation instantly. It replaces traditional web scraping by directly fetching validated llms.txt files from the base URL.

Why does fetching documentation sometimes return error pages instead of actual content?

Fetching documentation may return error pages when sources lack proper validation. This system solves that by verifying fetched content is actual documentation, mitigating risks of ingesting irrelevant data or error pages.