Use These Docs with AI

Connect these docs to Claude, ChatGPT, Cursor, or Claude Code: every page has a markdown mirror, and the whole site is indexed for language models.

These docs are built to be read by AI tools as well as people. Every page has a plain-markdown mirror, and the whole site is indexed for language models. Both are live today.

Which option should you use?

You are	Use
Asking questions about one page	Open the page in your assistant
Feeding the docs to your own tool, agent, or evaluation	The site indexes, never scrape the HTML

Ask an assistant about one page

Every page on this site has a markdown mirror: add .md to the end of the page URL.

What it does. Gives an AI assistant the clean content of a page, structure and code blocks preserved, navigation noise removed.

When to use it. Quick questions, code generation, or a longer analysis grounded in a single page.

How to use it. Tell your assistant to read the page's .md URL:

• Claude: https://claude.ai/new?q=Read <page URL>.md so I can ask questions about it.

• ChatGPT: https://chatgpt.com/?q=Read <page URL>.md so I can ask questions about it.

For example, to work with the QuipSwap page, copy the page's address from your browser and add .md to the end. The /llms.txt index lists the exact mirror URL for every page.

Give a model the whole site

What it does. Two standing indexes cover the entire documentation at once.

URL	Contents
/llms.txt	An annotated index of every page with its markdown mirror, for models that fetch pages on demand
/llms-full.txt	The entire documentation in one markdown file, for pasting into a model's context window

When to use it. You are building a tool, agent, or evaluation that consumes the docs as data.

How to use it. Fetch the index URL directly. Use these rather than scraping the HTML: they are generated from the same source as the site, so they are always current.

These endpoints reflect the published documentation. If a page is not on the live site yet, it is not in the indexes.