Introduction
LLM-Friendly Docs
Machine-readable documentation for AI assistants and LLM tooling.
RNQC publishes two machine-readable endpoints following the llms.txt standard:
| Endpoint | Description |
|---|---|
/llms.txt | Index of all documentation pages with one-line descriptions |
/llms-full.txt | Full text of every page, concatenated into a single document |
Full URLs:
-
https://margelo.github.io/react-native-quick-crypto/llms.txt -
https://margelo.github.io/react-native-quick-crypto/llms-full.txt
Usage
Point any LLM tool that supports llms.txt at your site root and it will
discover these endpoints automatically.
For example, with Context7 or similar services, the library can be referenced by name and the documentation is fetched on demand.
Claude Code (CLAUDE.md)
Add the full-text endpoint to your CLAUDE.md:
-
https://margelo.github.io/react-native-quick-crypto/llms-full.txt
Cursor / Windsurf
Add the site URL as a documentation source in your editor's AI settings.
The /llms.txt index tells the tool which pages are available, and
/llms-full.txt provides the full content in one request.