How real projects summarise themselves for language models.
wdchenxyzllms.txtwdchenxyz/skills-arsenal/kami/llms.txt
formal letter, offer, or notice" -> `letter` - "Build a slide deck for this talk" -> `slides` (PDF, or editable PPTX) - "Write this research, spec, or report up as a document" -> `long
windameisterllms.txtwindameister/ai-chat-archive-docs/llms-full.txt
aichatarchive.app)** is a Chrome extension that exports conversations from [Claude.ai](https://claude.ai) to PDF, HTML, or Markdown — complete with attachments and Claude-generated artifacts — fully inside your browser. Nothing
windameisterllms.txtwindameister/ai-chat-archive-docs/llms.txt
that exports Claude.ai and ChatGPT > conversations — including uploaded attachments and Claude-generated artifacts — to > PDF, HTML, or Markdown. It runs entirely in the user's browser; nothing is uploaded > anywhere
yonathanarbelllms.txtyonathanarbel/my-works-for-llm/docs/llms-full.txt
# my-works-for-llm: Full Corpus Dump Dataset DOI: https://doi.org/10.5281/zenodo.18781457 License: corpus
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.
