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.
tubecreatellms.txttubecreate/tubecli/llms.txt
second clips work; stitching them into a longer film is new and lightly tested ## Partially supported / not supported - MCP (Model Context Protocol): TubeCLI ships an MCP **server** (`tubecli`, see Codex
Dynatracellms.txtDynatrace/dynatrace-for-ai/llms.txt
analyzers — anomaly detection, novelty scoring, metric correlation. - dt-obs-ext-monitors: Ingest third-party test and monitor results into Grail via the platform events ingest API. - dt-obs-genai: GenAI
swimmwatchllms.txtswimmwatch/cloakbrowser-mcp/docs/llms.txt
/cloakbrowser-mcp/version-compatibility/). - cloakbrowser-mcp: 1.15.1 - @playwright/mcp: ^0.0.83 - Playwright MCP Docker base: mcr.microsoft.com/playwright/mcp:v0.0.83 - CloakBrowser: ^0.6.3 - Tested Node.js majors: 22, 24, 26 - Transports: stdio and Streamable HTTP ## Key Pages - Getting Started
gravity-uiReads credentialsllms.txtgravity-ui/aikit/llms-full.txt
ChatContainer` — fully assembled chat ## Documentation - [Quick Start Guide](./docs/GETTING_STARTED.md) - [Architecture](./docs/ARCHITECTURE.md) - [Project Structure](./docs/PROJECT_STRUCTURE.md) - [Testing Guide](./docs/TESTING.md) - [Playwright Guide](./playwright/README.md) ## Testing The project uses Playwright Component Testing for visual regression
selfishprimatellms.txtselfishprimate/gerillass/llms.txt
described in a machine-readable manifest whose examples and refusals are executed by the test suite, so the documentation cannot drift away from the code. Gerillass is a pure Sass
alfadur7llms.txtalfadur7/llm-wiki-newsroom/docs/llms.txt
reproducible example (the debate over what "open source" means for AI), not a battle-tested product; the writer-reviewer split and the self-evolving loop are framed as hypotheses
jcoelho93llms.txtjcoelho93/personal-website/public/llms-full.txt
through SLI/SLO, incident management, and postmortem culture - **CI/CD**: Building robust pipelines for continuous integration, testing, and delivery - **Python**: Automating workflows and building internal tools with Python - **Monitoring**: Instrumenting systems with
PrimeFoldToolsllms.txtPrimeFoldTools/andon/llms.txt
your task. For example: grep the full set before you claim "all"; run tests against the entry point the harness calls; search for an existing implementation before you build
GoldziherPipes a download into a shellllms.txtGoldziher/ai-rulez/docs/llms-full.txt
schema or rules. [Standards](standards.md) lists the pinned spec versions, the conformance tests and the known gaps. #### The lifecycle | Section | What you do | Start with | | ------- | ----------- | ---------- | | **Author** | Write rules, context, skills
Goldziherllms.txtGoldziher/ai-rulez/docs/llms.txt
goldziher.github.io/ai-rulez/standards/): ai-rulez claims conformance with a standard only when a passing test backs the claim. - [Migrating to v5](https://goldziher.github.io/ai-rulez/migration-v5/): This page collects the breaking changes
socai-iollms.txtsocai-io/jev-social/site/llms.txt
compatibility will only be claimed after its public request and response contract can be tested end to end. The provider is only the decision layer. Jev Social rebuilds the allowed
MattCheramiellms.txtMattCheramie/GopherTrunk/docs/llms.txt
tornado sirens going off?]({{ '/tornado-sirens-going-off/' | absolute_url }}): outdoor warning siren activations, test schedules, and why silence is not an all-clear. - [How to listen to police scanners online free]({{ '/listen-to-police-scanner-online
magnus919Reads credentialsllms.txtmagnus919/agent-skills/llms.txt
system-wide evolutionary architecture design, general observability, or operating a named test or CI tool. - [agent-council](agent-council/SKILL.md): Run a structured multi-agent debate by spawning a panel
NVIDIAllms.txtNVIDIA/go-dcgm/llms.txt
health systems (`DCGM_HEALTH_WATCH_*`) in `pkg/dcgm/const.go`. 4. Programs under `samples/` and tests under `tests/`. ## Requirements - Linux, cgo, and DCGM 4. `Init` loads `libdcgm.so.4` at run time. - An NVIDIA
antropos17Reads credentialsllms.txtantropos17/Aegis/llms-full.txt
CommonJS JavaScript in main, TypeScript in the renderer and shared types. Exact versions: package.json - **Tests**: Vitest; run `npm test` for current pass/skip and file counts - **License**: MIT - **Version**: 0.21.0-beta
antropos17Reads credentialsllms.txtantropos17/Aegis/llms.txt
CommonJS JavaScript in main, TypeScript in the renderer and shared types. Exact versions: package.json - **Tests**: Vitest; run `npm test` for current pass/skip and file counts - **License**: MIT - **Version**: 0.21.0-beta
UiPathllms.txtUiPath/coder_eval/docs/llms.txt
agent, model vs. model, tool-on vs. tool-off, or prompt vs. prompt; test whether a skill triggers and catch regressions in CI; gate a build on coding-agent quality
28naem-delllms.txt28naem-del/mnemosyne/llms.txt
servers` entry in `~/.hermes/config.yaml`, or the portable plugin in integrations/hermes (documented, not tested). README "Install and connect an agent" says which host setups were tested. - TypeScript: `createLocalMemory` from `mnemosy
28naem-delllms.txt28naem-del/mnemosyne/site/llms.txt
servers` entry in `~/.hermes/config.yaml`, or the portable plugin in integrations/hermes (documented, not tested). README "Install and connect an agent" says which host setups were tested. - TypeScript: `createLocalMemory` from `mnemosy
exelearningReads credentialsllms.txtexelearning/exelearning/llms-full.txt
# eXeLearning — Full Documentation Bundle > This is a single-file concatenation of the eXeLearning ELPX
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.
