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.
genomoncologyllms.txtgenomoncology/biomcp/docs/llms-full.txt
biomcp.org/sources/gnomad/): Access details and query guidance for the gnomAD data source. - [NCBI Genetic Testing Registry](https://biomcp.org/sources/gtr/): Access details and query guidance for the NCBI Genetic Testing Registry
nubenetesllms.txtnubenetes/awesome-kubernetes/v2-docs/llms.txt
Chaos Engineering](https://nubenetes.com/chaos-engineering/) - [Developerportals](https://nubenetes.com/developerportals/) - [DevOps](https://nubenetes.com/devops/) - [Performance Testing With Jenkins And Jmeter](https://nubenetes.com/performance-testing-with-jenkins-and-jmeter/) - [Project Management Methodology](https://nubenetes.com/project-management-methodology/) - [Project Management
carloslfuPipes a download into a shellllms.txtcarloslfu/slotstream/llms-full.txt
measured **20.91–23.69 tok/s** across three workloads in development tests at a 33 GB memory budget, using the original 4-bit model ([results and test conditions](#speed)). [Get started](#install
carloslfuPipes a download into a shellllms.txtcarloslfu/slotstream/llms.txt
Apple Silicon Macs with far less RAM than the > model: October 5, 2026 development tests measured 20.91–23.69 tok/s across three > workloads
decionisllms.txtdecionis/agent-safe-pipeline/llms-full.txt
github.com/decionis/agent-safe-pipeline/blob/master/spec/intent/v1/README.md, https://github.com/decionis/agent-safe-pipeline/blob/master/spec/intent/v1/schema.json, https://github.com/decionis/agent-safe-pipeline/blob/master/spec/intent/v1/CHANGELOG.md, https://github.com/decionis/agent-safe-pipeline/blob/master/spec/intent/v1/frameworks.md - The Compromised Principal Test (valid identity + valid access ≠ authorized execution: the test, three ways to run it in under
decionisllms.txtdecionis/agent-safe-pipeline/llms.txt
github.com/decionis/agent-safe-pipeline/blob/master/spec/intent/v1/README.md, https://github.com/decionis/agent-safe-pipeline/blob/master/spec/intent/v1/schema.json, https://github.com/decionis/agent-safe-pipeline/blob/master/spec/intent/v1/CHANGELOG.md, https://github.com/decionis/agent-safe-pipeline/blob/master/spec/intent/v1/frameworks.md - The Compromised Principal Test (valid identity + valid access ≠ authorized execution: the test, three ways to run it in under
nirholasllms.txtnirholas/XActions/llms-full.txt
Prisma ORM (`prisma/schema.prisma`) - **Job Queue**: Bull + Redis - **Browser Automation**: Puppeteer + puppeteer-extra-plugin-stealth - **Testing**: Vitest 5.x (config: `vitest.config.js`); the suite is offline and runs in CI on Node
JanssenProjectllms.txtJanssenProject/jans/llms.txt
Lock Server which centralizes audit logs and configuration. - Janssen Tarp : An OpenID Connect RP test website that runs as a browser plugin in Chrome or Firefox. - Jans Chip : Sample
aws-neuronllms.txtaws-neuron/aws-neuron-sdk/llms.txt
# AWS Neuron SDK Documentation > AWS Neuron SDK enables high-performance deep learning and generative
manojmallickllms.txtmanojmallick/sigmap/llms-full.txt
every file impacted by changing sigmap --impact --json Impact as JSON {changed, direct, transitive, tests, routes} sigmap --impact --depth BFS depth limit (default 3, 0=unlimited) sigmap --callers Method-level
minhnv0807llms.txtminhnv0807/ai-business-skills/llms.txt
plan - [Performance Loop (ads cycle)](https://github.com/minhnv0807/ai-business-skills/blob/master/workflows/vi/performance-loop.md): Audience and media plan through tracking, testing, audit, scaling, and next ads plan - [Design Pipeline (T-14 to D+1)](https://github.com
payloadcmsReads credentialsllms.txtpayloadcms/website/public/llms-full.txt
marketer equation with features like Live Preview, redirects, form builders, visual editing, static A/B testing, and more. But even with all this focus on marketing efficiency, we aren't compromising
payloadcmsllms.txtpayloadcms/website/public/llms.txt
# Payload Documentation > Official Payload documentation, organized by major version. Match the documentation version to
aelassasReads credentialsllms.txtaelassas/bookcars/llms-full.txt
mobile && npm run lint && npx tsc --noEmit ``` 3. Run the backend language parity test: ```bash cd backend && npm test -- __tests__/lang.test.ts --coverage=false ``` Ensure your new language is included
aelassasllms.txtaelassas/bookcars/llms.txt
github.com/aelassas/bookcars/wiki/Build-Mobile-App): Expo mobile application setup, building APK/IPA binaries, and push notification configuration. - [Testing & Integration](https://github.com/aelassas/bookcars/wiki/Integration-Tests-and-Coverage): Running backend Supertest/Jest suites and tracking code coverage. ## Repository Resources - [Contribution Guide
nodetool-aillms.txtnodetool-ai/nodetool/docs/llms.txt
Scripts]({{ site.url }}/js-scripts): Saved JavaScript documents with ports, secrets, a run dialog and tests. - [Custom Nodes]({{ site.url }}/developer/custom-nodes-guide): Implement BaseNode subclasses. - [Node Patterns]({{ site.url }}/developer/node-patterns): process / genProcess / streaming. - [Node Reference
scrapflyllms.txtscrapfly/Antibot-Detector/llms.txt
extension's card in `chrome://extensions` and reload the page you are testing. There is no account, sign-in or API key. The extension is self-contained
sno-aillms.txtsno-ai/magi-markdown/llms.txt
implementation spec](apps/cli/IMPL-SPEC.md): Scope, CLI surface, module layout, conformance levels, release model, dependencies, compatibility tests, and out-of-scope items. - [CLI source](apps/cli/src/): TypeScript source for the reference
LangChainllms.txtlangchain-ai/design-agent/llms.txt
github.com/langchain-ai/design-agent/blob/main/.agents/skills/design-agent-evals/SKILL.md): measure a change before and after - [Troubleshoot](https://github.com/langchain-ai/design-agent/blob/main/.agents/skills/design-agent-troubleshoot/SKILL.md): doctor, connection tests, logs, traces - [Update](https://github.com/langchain-ai/design-agent/blob/main/.agents/skills/design-agent-update/SKILL.md): bring a fork up to date - LangChain
youichi-udallms.txtyouichi-uda/godot-mcp-pro/llms.txt
buses, effects (reverb, delay, compressor), 2D/3D players - **Navigation** — regions, mesh baking, pathfinding agents - **Automated testing** — test scenarios, assertions, stress testing, UI verification - **Code analysis** — unused resources, signal flow mapping, circular
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.
