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
ArabicMMLU. - [ASR Code Switch](https://huggingface.co/datasets/Perle-ai/ASR_Code_Switch): A curated benchmark of 1,200 code-switching utterances (300 per language pair) for evaluating commercial ASR systems on multilingual speech. - [ALM-Bench
mshadmanrahmanReads credentialsllms.txtmshadmanrahman/claudecode-guide/public/llms-full.txt
Claude Code instance that handles a focused task. Your main conversation delegates work (research, code review, testing) to agents that work independently and report back. Keeps your main session clean
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.
