How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
h9-tecllms.txth9-tec/arabic-ai-atlas/dist/llms.txt
code-switching utterances (300 per language pair) for evaluating commercial ASR systems on multilingual speech. - [QuranMB.v2](https://huggingface.co/datasets/IqraEval/QuranMB.v2): IqraEval benchmark for Quranic mispronunciation detection. ## Papers - [Systematic Review and Meta
igorlsllms.txtigorls/comfyui-h3-editor/docs/llms.txt
agents - [Agent skill](https://raw.githubusercontent.com/igorls/comfyui-h3-editor/main/skills/h3-editor/SKILL.md): how to plan shots, render drafts, review them, join them, render finals and export through the editor's HTTP API - [API reference](https://raw.githubusercontent.com
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.
