llms-txt

name	llms-txt
description	Generate an llms.txt file for any project or website following the llmstxt.org specification. Use when asked to create llms.txt, generate LLM-friendly documentation, make a project AI-readable, or prepare documentation for language models.
argument-hint	["output-path"]

llms.txt Generator

Generate a well-structured /llms.txt file following the llmstxt.org specification proposed by Jeremy Howard.

What is llms.txt?

A markdown file that helps LLMs understand and use a project/website efficiently. It provides:

• Concise project overview
• Links to key documentation with descriptions
• Organized sections for different resource types

Generation Process

1. Analyze the project structure using Glob to find:

   • README files
   • Documentation directories (docs/, documentation/, wiki/)
   • API documentation
   • Example files and tutorials
   • Configuration files that explain the project
   • Source code entry points

2. Identify key information:

   • Project name and purpose
   • Main features and capabilities
   • Important caveats or limitations
   • Dependencies and requirements

3. Generate the llms.txt following this exact format:

# Project Name

> Brief description of the project in 1-2 sentences. Include the most critical information needed to understand what this project does.

Key notes (if any important caveats exist):
- Important limitation or compatibility note
- Another critical detail

## Docs

- [Doc Title](url): Brief description of what this doc covers

## Examples

- [Example Title](url): What this example demonstrates

## API

- [API Reference](url): Description of API coverage

## Optional

- [Secondary Resource](url): Less critical but potentially useful

Format Rules

1. H1 (Required): Project/site name - this is the ONLY required section
2. Blockquote: Short summary with key context (highly recommended)
3. Body text: Important notes, caveats, or guidance (optional)
4. H2 Sections: Categorized lists of resources with URLs and descriptions
5. Optional Section: Resources that can be skipped for shorter context

Best Practices

• Be concise: LLMs have limited context windows
• Prioritize: Put most important resources first
• Describe well: Each link should have a brief, informative description
• Use "Optional" wisely: Secondary resources that aren't always needed
• Avoid jargon: Explain terms that aren't universally known
• Include external links: Reference external docs if helpful (e.g., framework docs)

URL Handling

• For websites: Use absolute URLs (https://example.com/docs/api.md)
• For repositories: Use relative paths or raw GitHub URLs
• Suggest creating .md versions of HTML pages at same URL + .md extension

Output

Write the generated llms.txt to:

• $ARGUMENTS if provided
• Otherwise, project root as llms.txt

After generating, briefly explain what was included and why.

Reference Examples

For examples of well-crafted llms.txt files, see references/examples.md.

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Note: This skill does not require external scripts. The analysis and generation is performed directly using available tools (Glob, Grep, Read) to understand the project structure and generate appropriate content.