ArmitageDocs
Deposit

Documentation Index

Fetch the complete documentation index at: https://armitage.wintermute.com/docs/llms.txt

Fetch the full documentation text at: https://armitage.wintermute.com/docs/llms-full.txt

Use the index to discover available pages before exploring further.

Armitage docs

Using LLMs

How to use AI assistants with the Armitage docs.

The Armitage docs work alongside AI assistants. Pick the path that fits your question.

Highlight any text for an explanation

Select any text on a docs page (a word, a phrase, or a paragraph) and an inline explanation appears under the selection. The explanation has the rest of the page as context, so terms are answered where you find them.

  • Triple-click to select a paragraph.
  • Press Escape, or click outside the panel, to dismiss.

Copy a single page into your assistant

Every docs page has a Copy Markdown button below the title. It copies the page (tables, headings, and links included) as clean Markdown. Paste it into ChatGPT, Claude, Gemini, or any other assistant.

Use this when your question is scoped to one page: vault parameters, deposit steps, a specific risk, etc.

Give your assistant the entire docs site

For questions that span multiple pages, point your assistant at one of these URLs.

URLWhat it contains
llms.txtA short index of every page with a one-line description.
llms-full.txtThe complete docs in clean Markdown, organized by section.

Use llms-full.txt for the full text. Use llms.txt when you only want the page index.

Ask a one-off question

  1. Open your AI assistant (ChatGPT, Claude, Gemini, Perplexity, etc.).
  2. Paste the URL into the chat. Most assistants will fetch it automatically.
  3. Ask your question.

If your assistant cannot fetch URLs, open the URL in your browser, copy the contents, and paste them in.

Keep the docs loaded for ongoing use

For repeated questions, save the docs once as persistent context:

  • ChatGPT: create a Project and upload llms-full.txt as a project file/source; for a Custom GPT, add the file under Knowledge.
  • Claude: create a Project and upload llms-full.txt to project knowledge.
  • NotebookLM: start a notebook and add the llms-full.txt URL as a Web URL source, or upload the file.
  • Perplexity: create a Space and upload llms-full.txt as a Space file/source.

Every conversation in that Project, GPT, Space, or notebook will then have the docs in context.