llms.txt
Wot UI is an AI-friendly component library. This page introduces how to make VSCode, Cursor, TRAE, Antigravity and other AI tools better understand Wot UI documentation through llms.txt.
llms.txt is a text file designed specifically for large language models, similar to robots.txt but with different goals. robots.txt tells search engine crawlers which pages can be crawled, while llms.txt provides structured information about website content for AI tools, helping them better understand and index component library documentation, examples, and best practices.
Available Resources
We provide 2 llms.txt routes to help AI tools access documentation:
- llms.txt - Contains structured overview of all components and their documentation links
- llms-full.txt - Provides complete documentation including implementation details and examples
Using in AI Tools
Cursor
Find Indexing & Docs settings in Cursor, and add llms.txt to Docs, use the @Docs feature to include llms.txt files in the project.
Learn more about @Docs feature in Cursor
TRAE
Find Context/Docs settings in TRAE, and add llms.txt to Docs, use the #Docs feature to include llms.txt files in the project.
Learn more about #Docs feature in TRAE
Other Tools
Any tool that supports the llms.txt standard, or supports ingesting documentation through URLs, can use the llms.txt files we provide. You can add it to the tool's Docs, rules, or knowledge base configuration to help AI better understand the Wot UI component library.
context7
If you don't use llms.txt, you can also directly read component library documentation through context7.