website
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
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.
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
prevent that! - [Production Deployment](https://payloadcms.com/docs/v3/production/deployment.md): When your Payload based app is ready, tested, looking great, it is time to deploy. Learn how to deploy your app and what
aws-neuron/aws-neuron-sdk/llms.txt
terms used in AWS Neuron documentation - [Model Samples](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/about-neuron/models/index.html): Pre-tested model samples and implementations - [Benchmarks](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/about-neuron/benchmarks/index.html): Training and inference performance benchmarks - [SDK Maintenance Policy
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
carloslfu/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
carloslfu/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
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
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
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
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
danielrosehill/Claude-Code-Projects-Index/docs/llms.txt
release patterns. Any platform: options-then-build for UI friction, sprint or release-to-test release patterns pinned to CLAUDE.md. - [AI Attribution](https://github.com/danielrosehill/Claude-AI-Attribution-Plugin): AI transparency — document human
BrainicHQ/DoHSpeedTest/llms.txt
Speed Test > Free, browser-based DNS-over-HTTPS speed test at https://dnsspeedtest.online/ ## What it does DNS Speed Test benchmarks 26+ DNS-over-HTTPS (DoH) servers directly from the user
ayush-that/codejeet/public/llms-full.txt
HTML pages, this file, and the sitemap - Submitting or judging code against hidden tests (use LeetCode) - Official hiring, recruiter outreach, or company headcount - Bulk-downloading /data/ JSON (disallowed in robots.txt
ayush-that/codejeet/public/llms.txt
HTML pages, this file, and the sitemap - Submitting or judging code against hidden tests (use LeetCode) - Official hiring, recruiter outreach, or company headcount - Bulk-downloading /data/ JSON (disallowed in robots.txt
io-eric/coi/llms-full.txt
commands | Command | Description | |---------|-------------| | `coi build` | Compile `src/App.coi` to `dist/` (index.html, app.js, app.wasm, app.css) | | `coi test [files]` | Run the `test` blocks of every file under `src/` (or the files given) natively
io-eric/coi/llms.txt
look up the exact APIs, read this guide by section, search packages and run tests against the installed compiler. ## Docs - [Getting Started](docs/getting-started.md): install, first project, CLI, imports - [Language Guide
agnt-gg/agnt/docs/llms-full.txt
custom provider by ID - **Response**: ```json { "success": true, "message": "Custom provider deleted successfully" } ``` ### Test Custom Provider Connection **POST** `/test` - **Authentication**: Required - **Body**: ```json { "base_url": "https://api.example.com", "api_key": "your
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.