jans
JanssenProject/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
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.
JanssenProject/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-neuron/aws-neuron-sdk/llms.txt
# AWS Neuron SDK Documentation > AWS Neuron SDK enables high-performance deep learning and generative
nirholas/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
manojmallick/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
minhnv0807/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
payloadcms/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
payloadcms/website/public/llms.txt
# Payload Documentation > Official Payload documentation, organized by major version. Match the documentation version to
aelassas/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
aelassas/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
scrapfly/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-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
nodetool-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
youichi-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
emiliaprotocol/emilia-protocol/public/llms-full.txt
current coverage or operation of a central global network. Generated from repository evidence. Test-count snapshot: 2026-10-27T23:48:51.960Z. Input digest: sha256:4cdc1ca8e1b33d2705339e241c1a07e82fbabb8dae7ff54c2bb922786723a92c. Do not edit
emiliaprotocol/emilia-protocol/public/llms.txt
central global network. This is a generated discovery index following the llms.txt proposal. Test-count snapshot: 2026-10-27T23:48:51.960Z; main refreshes the test counts after each
kydlikebtc/awesome-jev/llms.txt
others carry an older date or none. These counts do not describe runtime tests or current availability. Jev (https://docs.typesafe.ai/) returns typed decisions rather than text: a `choice` among
langchain-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
88lin/computer-repair-skill/docs/llms.txt
company data — for offboarding or device reassignment - `backup-verify-restore` — Backup Verify & Restore Test / 备份验证与抽样恢复 [Cross-platform]: Verify backup integrity by checking status, timestamps, and testing a real file restore
gitbutlerapp/grit/docs/llms-full.txt
grit-scm.com/install-nightly.ps1 | iex ``` Nightlies track recent `main`; use them when you want to test fixes before the next tagged release. ## Install with Cargo If you already have a Rust toolchain
gitbutlerapp/grit/docs/llms.txt
transport. - [Object stores](https://grit-scm.com/docs/library/object-stores/index.md): Pluggable ObjectStore backends, OdbBuilder, and the odb_conformance test suite. - [Objects](https://grit-scm.com/docs/library/objects/index.md): ObjectId, ObjectKind, and reading or writing blobs, trees, and commits
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.