> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lynxhub.app/llms.txt
> Use this file to discover all available pages before exploring further.

# llms.txt

> Index LynxHub documentation for AI models using automated llms.txt and llms-full.txt files.

LynxHub provides automated `llms.txt` and `llms-full.txt` files so AI models and developer tools can index and process the documentation site efficiently.

The `llms.txt` standard is a machine-readable directory format designed specifically for Large Language Models (LLMs), similar to how `sitemap.xml` functions for search engine web crawlers.

## Available endpoints

You can access LynxHub documentation index files at the following canonical URLs:

* **`llms.txt` Index:** [`https://docs.lynxhub.app/llms.txt`](https://docs.lynxhub.app/llms.txt) (also available at `https://docs.lynxhub.app/.well-known/llms.txt`)
* **`llms-full.txt` Complete Content:** [`https://docs.lynxhub.app/llms-full.txt`](https://docs.lynxhub.app/llms-full.txt) (also available at `https://docs.lynxhub.app/.well-known/llms-full.txt`)

## File formats explained

LynxHub documentation serves two distinct text files depending on your AI model's context needs:

### `llms.txt`

The `llms.txt` file acts as a structured directory. It lists all available documentation pages alongside their descriptions and direct Markdown links.

* Contains the site title, summary description, and categorized links to every page.
* Allows AI tools to quickly discover where specific LynxHub features or configuration settings are documented.
* Keeps context size low while enabling targeted sub-fetches.

### `llms-full.txt`

The `llms-full.txt` file concatenates the entire LynxHub documentation into a single Markdown document.

* Contains complete documentation text, code examples, and page content.
* Useful when you want to feed the entire documentation suite directly into an LLM context window in a single request.

## Connect AI tools to `llms.txt`

You can use `llms.txt` with various AI coding assistants and LLM tools:

<Steps>
  <Step title="Provide the URL to your AI chat tool">
    Pass `https://docs.lynxhub.app/llms.txt` directly to web-connected AI tools such as ChatGPT, Claude, or custom LLM agents.
  </Step>

  <Step title="Prompt the agent to inspect the index">
    Ask the agent to review the index file to locate the specific LynxHub topic you need help with.

    ```text theme={null}
    Please check https://docs.lynxhub.app/llms.txt to find documentation on LynxHub extension development guide.
    ```
  </Step>

  <Step title="Ingest full content if needed">
    If your LLM context window supports large inputs, provide `https://docs.lynxhub.app/llms-full.txt` to give the model complete knowledge of LynxHub in one pass.
  </Step>
</Steps>

## When to use `llms.txt`

Use `llms.txt` when you want a lightweight overview of all LynxHub documentation pages.

<CardGroup cols={2}>
  <Card title="Use llms.txt when" icon="check">
    * You need to discover available documentation topics.
    * You want to retrieve specific pages on demand without consuming excessive context.
    * You are configuring custom RAG pipelines or web scrapers.
  </Card>

  <Card title="Use other methods when" icon="xmark">
    * You need interactive, real-time doc search inside your IDE (use [MCP Server](/ai-agents/mcp-server)).
    * You want AI agents to execute structured LynxHub workflows (use [skill.md](/ai-agents/skill-md)).
  </Card>
</CardGroup>