Generate a structured llms.txt map from repository content.
npx skills add https://github.com/thatrebeccarae/claude-marketing --skill llms-txt-thatrebeccarae
Please help me install this Agent Skill. Skill: llms-txt Source: https://github.com/thatrebeccarae/claude-marketing/tree/main/skills/llms-txt Command: npx skills add https://github.com/thatrebeccarae/claude-marketing --skill llms-txt-thatrebeccarae
llms-txt helps teams improve AI discoverability by providing a curated map of project content for AI systems.
Run llms-txt generate [repo-path] to create an initial llms.txt tailored to your project.
High-intent search queries and answers about installing and using this skill.
An llms.txt file improves AI discoverability by organizing repository content into a concise map of entry points like READMEs and API references that AI systems can easily parse.
You generate an llms.txt file for your repository by running a generate command on the project path, which indexes key content by priority and outputs a valid file following the Answer.AI specification.
Yes, the llms.txt specification works with developer tools and API references by prioritizing these entry points during content mapping to provide clearer AI surface area for your project.
The best way to structure project content for AI discovery is using a fixed structure that indexes key content by priority, ensuring AI systems can quickly locate guides, API references, and READMEs.
Yes, you can use llms.txt for documentation sites undergoing content restructuring because it organizes repository content into a curated map, making it applicable for projects needing clearer AI surface area.
adrien-barretAnalyze project structure and code to update README sections.
zhizdevGenerate or audit a site-root llms.txt with valid sections and URLs.
batdorj-sAnalyze web content against SEO standards and E-E-A-T criteria.
auxi-wardrobeGenerate llms.txt files from documentation directories following the llmstxt.org specification.
