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.
SentryReads credentialsllms.txtgetsentry/dotagents/docs/public/llms.txt
subagent name. ```md --- name: code-reviewer description: Review code for correctness, security, and missing tests. --- Review the current diff and return findings with file references. ``` | Field | Type | Required | Description | |-------|------|----------|-------------| | `name
vinkius-labsReads credentialsllms.txtvinkius-labs/mcp-fusion/docs/llms.txt
mcpfusion server project mcpfusion create [--transport stdio|sse] [--vector vanilla|prisma|n8n|openapi|oauth] [--testing|--no-testing] [--yes|-y] # Start HMR dev server with auto-reload (auto-detects server entrypoint
GabrieleLozuponellms.txtGabrieleLozupone/kokon/site/llms.txt
build of stable-diffusion.cpp, so no second model), your own Qwen-Image 2.1 LoRAs (beta, tested on Windows), create from text, new images from reference photos (a person, a product
MrPunyapalllms.txtMrPunyapal/laravel-attributes-list/docs/llms-full.txt
# Laravel PHP Attributes List A curated list of PHP Attributes available in Laravel Framework
MrPunyapalllms.txtMrPunyapal/laravel-attributes-list/docs/llms.txt
request contains unknown fields - https://mrpunyapal.github.io/laravel-attributes-list/attributes/testing/Seeder: Run a specific seeder class during tests - https://mrpunyapal.github.io/laravel-attributes-list/attributes/testing/Seed: Run the database seeder during tests - https://mrpunyapal.github.io/laravel-attributes-list/attributes/testing/SetUp: Mark a trait method
AaryanvermaReads credentialsllms.txtAaryanverma/graybox/llms.txt
file discovery. - [Packaging](https://github.com/Aaryanverma/graybox/blob/main/pyproject.toml): console entry point, Python requirement, and optional `test`/`azure` dependencies. - [Runtime dependencies](https://github.com/Aaryanverma/graybox/blob/main/requirements.txt): dependencies including LiteLLM, PyYAML, requests, tenacity, python-dotenv, readchar
clearcotelabsllms.txtclearcotelabs/clearcote-browser/llms.txt
Python and Node): `clearcote install`, `clearcote info` (checks the install, engine features, a launch test, licence seats), `clearcote login [key]`, `clearcote clear-cache`, `clearcote serve` (one CDP endpoint, many identities
KyaniteLabsllms.txtKyaniteLabs/kinocut/docs/llms-full.txt
Package, repository, website and directory publication are separate observations. A source edit or local test does not prove an external release. ## Setup and host integration Install Python 3.11+ and FFmpeg/ffprobe
Zhiyuan-ZengReads credentialsllms.txtZhiyuan-Zeng/RLVE/tinker-cookbook/llms-full.txt
nextra/components' import { CookbookLink } from '../components/CookbookLink' # Evaluations Our training scripts will print out training and test loss. Two common workflows for evaluations are to do inline evals during training
oliver-zehentleitnerDeletes or force-pushesllms.txtoliver-zehentleitner/keep-the-why/llms.txt
what changed; Keep the Why preserves why it changed. Complements README, AGENTS.md, docs, CONTRIBUTING.md, tests, Keep a Changelog rather than replacing any of them — see "Where this fits
SyntheticAutonomicMindllms.txtSyntheticAutonomicMind/CLIO/llms.txt
Debug mode ``` ## Key Files for AI Agents - `AGENTS.md` - Technical reference (architecture, code style, testing) - `.clio/instructions.md` - Project methodology (The Unbroken Method) - `docs/ARCHITECTURE.md` - System design overview - `docs/DEVELOPER_GUIDE.md` - Contribution guidelines ## Architecture ``` User Input
joshuaswarrenReads credentialsllms.txtjoshuaswarren/openclaw-engram/llms.txt
SECURITY.md Vulnerability reporting and disclosure. AGENTS.md / CLAUDE.md Agent operating rules and privacy policy. BUILD / TEST / DEVELOP Install: pnpm install Build: pnpm run build Test: pnpm test Typecheck: pnpm run check
FLOX-Foundationllms.txtFLOX-Foundation/flox/docs/llms-full.txt
# lrvx — full documentation bundle lrvx is a C++23 high-performance trading framework with
KbWenllms.txtKbWen/agentic-os/llms.txt
Copilot, Google Antigravity, and any Markdown-reading LLM agent — a repeatable plan → build → review → test → ship workflow with quality gates: a credential scan and a validator that fails when
congminh1254llms.txtcongminh1254/shopee-sdk/llms.txt
Node Version**: >= 20.0.0 **Main Entry**: `src/sdk.ts` → `lib/sdk.js` (compiled) **Dependencies**: Minimal (only `node-fetch`) **Test Coverage**: 95%+, 1160 comprehensive tests ## 🏗️ Project Structure ``` shopee-sdk/ ├── src/ # Source code (TypeScript) │ ├── sdk.ts # Main
Fangx-AIllms.txtFangx-AI/geo-doctor/llms.txt
folder, no database - [Install guide](https://github.com/Fangx-AI/geo-doctor/blob/master/docs/install.md): per-platform install notes and test results ## Handbook (Chinese) - [GEO 实战手册](https://github.com/Fangx-AI/geo-doctor/blob/master/docs/handbook.md): routes for websites, mini programs, software, local business
matank001Pipes a download into a shellllms.txtmatank001/clodfarm/site/llms.txt
session and merges their branches. - An optional check (e.g. the project's tests) runs before work lands; a failing check sends the agent back to fix it. - A budget governor
dylanroscoverllms.txtdylanroscover/Embody/web/llms-full.txt
type directly in Claude Code to trigger common workflows. ### `/run-tests` Runs the Embody test suite via MCP and reports results. ``` /run-tests # Run all 122 test suites /run-tests test_path_utils
denolandllms.txtdenoland/docs/static/llms.txt
runtime built on V8 and Rust, > distributed as a single binary. TypeScript, formatting, linting, testing, and > a standard library work with zero configuration. Programs are sandboxed by > default; capabilities (network
garagonllms.txtgaragon/nanostack/llms.txt
reference each other through structured artifacts in `.nanostack/`. ## Verified adapters These hosts have a tested adapter in `adapters/` with documented capability evidence. The `adapters/ .json` files are the single source
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.
