Generate llms.txt indexes from markdown documentation following the llmstxt.org specification.
npx skills add https://github.com/ngocsangyem/MeowKit --skill meow-llms
Please help me install this Agent Skill. Skill: meow:llms Source: https://github.com/ngocsangyem/MeowKit/tree/main/.claude/skills/meow%3Allms Command: npx skills add https://github.com/ngocsangyem/MeowKit --skill meow-llms
Generate llms.txt indexes from project documentation following the llmstxt.org specification to enable AI-friendly discovery and indexing of your codebase.
Run the llms.txt generator on your project docs to create an index for AI-friendly discovery.
High-intent search queries and answers about installing and using this skill.
Generate an llms.txt index by running a script that scans your markdown documentation, categorizes the content, and produces stable links to enable AI-friendly discovery. The script follows the llmstxt.org specification to structure the output.
The llms.txt format provides a standardized index that enables AI assistants to navigate project documentation via linked entries. It structures markdown content into a discoverable hierarchy, optionally supporting inline content and JSON previews.
Yes, you can generate llms.txt for projects with a docs directory or per-directory markdown documentation. The script scans the markdown files, handles errors gracefully, and builds stable URLs for the AI index.
Preview the generated llms.txt output as JSON by running the generator script with the --json flag. This allows you to review the categorized documentation structure before publishing.
Yes, the generator supports optional llms-full.txt output containing inline content. This provides AI assistants with full text access alongside the standard linked llms.txt entries.
Script-based llms.txt generation relies on scanning markdown files, meaning non-markdown documentation formats may not be indexed. It requires a structured docs directory to categorize content and build stable URLs successfully.
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