How real projects summarise themselves for language models.
Auriti-Labsllms.txtAuriti-Labs/geo-optimizer-skill/site/llms.txt
research. Scores websites 0-100 across 8 categories with 47 citability methods. The main documentation is available at: [GEO Optimizer Docs](https://geoready.dev/docs/) ## Getting Started - [Getting Started](https://geoready.dev
reticlehqllms.txtreticlehq/reticle/llms.txt
site chrome — so you pull the one page you need instead of a whole document. Details: https://docs.reticle.sh/for-agents - **Reading as an agent — connect:** https://docs.reticle.sh/mcp
umputunllms.txtumputun/revdiff/site/llms.txt
revdiff > TUI for reviewing diffs, files, and documents with inline annotations revdiff is a terminal-based UI for code review and document annotation. It displays diffs from Git, Mercurial
CodeAbrallms.txtCodeAbra/iai-personal-memory-engine/llms.txt
introspection: `topology`, `schema_list`, `events_query`, `episodes_recent`, `curiosity_pending`. ## Docs - [README.md](README.md): full documentation, English. - [README_zh-CN.md](README_zh-CN.md): Chinese. - [CHANGELOG.md](CHANGELOG.md): release history. - [docs/DEPLOYMENT.md](docs/DEPLOYMENT.md): deployment. - [docs/EMBEDDERS.md](docs/EMBEDDERS.md): swappable embedders
sirkirbyllms.txtsirkirby/unifi-mcp/docs/llms.txt
only within the tool family that returned them unless an explicit resolver documents a verified bridge. ## Getting Started - [Quick start](https://github.com/sirkirby/unifi-mcp/blob/main/QUICKSTART.md): Install and configure a local MCP server
santiferllms.txtsantifer/cv-santiago/public/llms.txt
logged decisions, 31 distilled lessons), on ~4 human hours a week. Includes one fully documented maintenance day (July 2, 2026), six named patterns (orchestrator agent, ephemeral verifier, grounded watcher, compound
borgheillms.txtborghei/Claude-Skills/site/llms.txt
tools - C-Level Advisory: 31 skills, 88 tools - Data Analytics: 6 skills, 20 tools - Documents: 4 skills, 4 tools - Engineering: 91 skills, 261 tools - Finance: 3 skills, 10 tools
duriantacollms.txtduriantaco/skylos/llms-full.txt
Django, Flask, pytest, more | Limited | | Security scanning | Yes | No | ## Official links - Website: https://skylos.dev - Documentation: https://docs.skylos.dev - GitHub: https://github.com/duriantaco/skylos - PyPI: https://pypi.org/project/skylos/ - GitHub Action: https://github.com/duriantaco/skylos/blob/main/action.yml
duriantacollms.txtduriantaco/skylos/llms.txt
server: `python -m skylos_mcp` ## Best official pages - Website: https://skylos.dev - Documentation: https://docs.skylos.dev - GitHub: https://github.com/duriantaco/skylos - PyPI: https://pypi.org/project/skylos/ - GitHub Action: https://github.com/duriantaco/skylos/blob/main/action.yml - VS Code extension
Scottcjnllms.txtScottcjn/Rustchain/llms.txt
consensus layer where older silicon earns proportionally more reward. - **License**: MIT - **Website**: https://rustchain.org - **Documentation**: https://github.com/Scottcjn/Rustchain#readme - **Whitepaper**: https://github.com/Scottcjn/Rustchain/blob/main/RustChain_Whitepaper_Flameholder_v0.97-1.pdf - **API Reference**: https://github.com/Scottcjn/Rustchain/blob/main/API_WALKTHROUGH.md - **Install Guide
MageByte-Zerollms.txtMageByte-Zero/spec-superflow/llms.txt
reason ` - `ssf isolate [--worktree]` - `ssf resume [dir]` - `ssf validate ` - `ssf sync ` - `ssf finish ` ## Key documents - README.md: Chinese v2 overview and usage - docs/README_en.md: English v2 overview and usage - INSTALL.md: installation
Microsoftllms.txtmicrosoft/lage/llms.txt
parallel execution. * *(Other packages support various features like reporters, runners, etc.)* * `docs/`: Contains the documentation website source code (likely built with Docusaurus). * `scripts/`: Utility scripts for development and maintenance. * `benchmark
AVIDS2llms.txtAVIDS2/memorix/llms-full.txt
Memorix - Full AI-Facing Documentation Summary > Local-first shared memory layer for AI coding agents. Memorix is a TypeScript/Node.js project that gives AI coding agents persistent, project-aware memory
TIGER-AI-Labllms.txtTIGER-AI-Lab/ClawBench/llms.txt
task’s evaluation schema; scoring distinguishes interception from judged task fulfillment. See the scoring documentation for the evaluation contract. ## Canonical resources - [Project page](https://claw-bench.com): overview, task explorer, leaderboard
Electricitysheepllms.txtElectricitysheep/dsh-handbook/llms-full.txt
guide, plugin development, plugin 开发, sandbox security, cache hit rate, cost optimization, agent benchmark. ## Documentation - [Chinese README (canonical)](README.md) - [English README](README.en.md) - [Online docs site (searchable)](https://electricitysheep.github.io/dsh-handbook/) - [Cheatsheet
Electricitysheepllms.txtElectricitysheep/dsh-handbook/llms.txt
guide, plugin development, plugin 开发, sandbox security, cache hit rate, cost optimization, agent benchmark. ## Documentation - [Chinese README (canonical)](README.md) - [English README](README.en.md) - [Online docs site (searchable)](https://electricitysheep.github.io/dsh-handbook/) - [Cheatsheet
Cloudflarellms.txtcloudflare/chanfana/llms.txt
defaults are applied ## Package Contents for AI This package includes source code and documentation to help AI tools understand the library: - `AGENTS.md` — Comprehensive development guide: architecture, patterns, migration notes, testing
Microsoftllms.txtmicrosoft/teams-sdk/teams.md/static/llms_docs/llms.txt
provided within this skill and its reference guides. You may also use external public documentation only when it is explicitly linked from this skill or those guides. Do NOT perform
GarethManningllms.txtGarethManning/education-agent-skills/llms.txt
planned three-layer education AI system (skill library → context engine → orchestrator). ## Key Documentation - [README.md](https://github.com/GarethManning/education-agent-skills/blob/main/README.md): Full overview, architecture, usage, and domain table - [ARCHITECTURE.md](https://github.com/GarethManning/education-agent-skills/blob/main/docs/ARCHITECTURE.md): Three-layer
RareSensellms.txtRareSense/Nova3D/mcp/llms.txt
nova3d_setup` from inside that client. Installation alone does not complete Nova3D onboarding. Full documentation and source: https://github.com/RareSense/Nova3D/tree/main/mcp ## Tools available via MCP - `nova3d_setup` - get setup instructions
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.
