How real projects summarise themselves for language models.
Leonxlnxllms.txtLeonxlnx/taste-skill/skills/llms.txt
preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental). gpt-taste: Elite Awwwards-level frontend design and GSAP motion skill for premium
koala73llms.txtkoala73/worldmonitor/public/llms.txt
www.worldmonitor.app/api/download?platform=macos-x64): macOS x64 build - [Linux AppImage](https://www.worldmonitor.app/api/download?platform=linux-appimage): Linux .AppImage ## Tech Stack - **Frontend**: TypeScript, Vite, MapLibre GL JS, deck.gl, D3.js, Transformers.js (browser-side ML) - **Internationalization**: i18next with lazy
DeusDatallms.txtDeusData/codebase-memory-mcp/docs/llms.txt
native executable with an authenticated integration asset; the UI variant adds one content-addressed frontend pack. All processing is local — the embeddings run on-device; there is no embedded
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms-full.txt
Fullstack, AI/ML, DevOps, security, data, and QA skills. Includes senior-role skills (architect, backend, frontend, fullstack, DevOps, data engineer/scientist, ML, computer vision, prompt, QA, security, SecOps), cloud architects (AWS/Azure/GCP
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.
