llms-txt-support

Detect and retrieve llms.txt documentation variants from websites.

175|26|Updated Aug 14, 2025
One-click install
npx skills add https://github.com/jmagly/ai-writing-guide --skill llms-txt-support
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llms-txt-support
Source: https://github.com/jmagly/ai-writing-guide/tree/main/.factory/skills/llms-txt-support
Command: npx skills add https://github.com/jmagly/ai-writing-guide --skill llms-txt-support

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects and utilizes llms.txt files to speed up documentation ingestion and improve LLM readiness.

Core Features & Use Cases

  • Detection: Check llms-full.txt, llms.txt, llms-small.txt in priority order.
  • Processing: Convert to skill references or feed into scraping workflows.
  • Recovery: Handle variant failures gracefully with fallbacks.

Quick Start

Use llms.txt to bootstrap a new skill from documentation.

Frequently Asked Questions about llms-txt-support

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

FAQPage Schema
How do I detect and use llms.txt files for documentation?

llms.txt files are standardized documentation formats optimized for LLM ingestion. This Skill detects llms-full.txt, llms.txt, and llms-small.txt variants on websites in priority order, validates their content, and prepares them for downstream processing to accelerate documentation ingestion.

What are the differences between llms-full.txt, llms.txt, and llms-small.txt?

These are size-optimized variants of LLM-ready documentation. The Skill checks them in priority order—full, standard, then small—to find the best fit for your documentation ingestion needs while handling variant failures gracefully through fallback logic.

Can I use llms.txt to bootstrap documentation ingestion workflows?

Yes. The Skill detects llms.txt presence on any website, validates base URL accessibility and content authenticity, then converts it to skill references or feeds it directly into scraping workflows to bootstrap documentation ingestion faster.

How does this Skill handle missing or invalid llms.txt files?

The Skill validates content and size, distinguishes actual documentation from error pages, and escalates gracefully when multiple variants conflict or content is partial or invalid, ensuring reliable fallback behavior in detection workflows.

What preparation is needed before using llms.txt detection?

Ensure the target website's base URL is accessible. The Skill probes for llms.txt variants automatically and requires no special configuration to begin detecting and retrieving LLM-optimized documentation.

How does llms.txt improve LLM documentation processing?

llms.txt standardizes documentation for LLM consumption, reducing parsing overhead and improving context quality. This Skill detects and retrieves these files to enable faster, more reliable documentation ingestion compared to scraping unstructured pages.