nirholasReads credentialsllms.txtthree.ws
nirholas/three.ws/llms-full.txt
# three.ws > Open-source platform for 3D AI agents. Turn text or a photo into
llms.txt examples
How real projects summarise themselves for language models.
Your trail
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.
Best matches · from page 5Worked for most · soon
nirholasReads credentialsllms.txt
kreuzberg-devReads credentialsllms.txtliter-llm
kreuzberg-dev/liter-llm/llms.txt
port = 4000 [auth] master_key = "${LITER_LLM_MASTER_KEY}" [[virtual_keys]] key = "sk-team-frontend" models = ["openai/*", "anthropic/*"] rpm = 60 budget = 50.0 [[providers]] name = "openai" api_key = "${OPENAI
mattrobinsonsrePipes a download into a shellllms.txtterrapod
mattrobinsonsre/terrapod/llms.txt
single organization](docs/architecture.md#why-a-single-organization). - **BFF** — all traffic enters through the Next.js frontend, which proxies `/api/*` to the API; the browser never calls the API directly
FLOX-Foundationllms.txtflox
FLOX-Foundation/flox/docs/llms-full.txt
# lrvx — full documentation bundle lrvx is a C++23 high-performance trading framework with
nikolai-vysotskyiReads credentialsllms.txttrace-mcp
nikolai-vysotskyi/trace-mcp/docs/llms-full.txt
subproject is any working repository that is part of your project's ecosystem: microservices, frontends, backends, shared libraries, CLI tools, etc. A project auto-detects its subprojects on indexing
Big-Ponyllms.txtpocketshell / site
Big-Pony/pocketshell/site/llms.txt
task finishes, tap it and read the answer - [Live demo](https://demo.pocketshell.net): the real frontend running against a simulated agent — no install, no host, no signup. Best on a phone
softsparkReads credentialsllms.txtai-toolkit
softspark/ai-toolkit/llms-full.txt
memory leak. - **persona**: Switches engineering persona at runtime. Triggers: persona, switch role, backend-lead, frontend-lead, devops-eng, junior-dev. - **php-rules**: PHP coding rules: style, patterns, security, testing. Triggers
Dynatracellms.txtdynatrace-for-ai
Dynatrace/dynatrace-for-ai/llms.txt
services: Service RED metrics, runtime telemetry (.NET, Java, Node.js, Python, PHP, Go). - dt-obs-frontends: RUM, Web Vitals, user sessions, mobile, frontend errors. - dt-obs-tracing: Distributed traces, spans, dependencies
smnandrellms.txtsymfony-ux-skills
smnandre/symfony-ux-skills/llms.txt
Symfony UX Agent Skills > AI agent skills for the Symfony UX frontend stack: Stimulus, Turbo, TwigComponent, LiveComponent, Icons, and Map. Built on the agentskills.io open standard. Covers Symfony
GoldziherPipes a download into a shellllms.txtai-rulez
Goldziher/ai-rulez/docs/llms-full.txt
microservices behind an API Gateway - PostgreSQL for persistence - Kubernetes for orchestration ## Stack - Backend: Go - Frontend: React - Infrastructure: Kubernetes ``` #### Step 5: Define Skills (Optional) Create specialized AI prompts in `.ai-rulez
magnus919Reads credentialsllms.txtagent-skills
magnus919/agent-skills/llms.txt
testing. Use for application/domain/infrastructure implementation decisions. Language and framework agnostic. Do not use for frontend, data engineering, platform provisioning, API contract ownership, service decomposition strategy, or cross-system migration planning
kestra-iollms.txtdocs
kestra-io/docs/public/llms.txt
# Kestra > Kestra is an open-source workflow orchestration platform. Workflows are defined declaratively in
exelearningReads credentialsllms.txtexelearning
exelearning/exelearning/llms-full.txt
# eXeLearning — Full Documentation Bundle > This is a single-file concatenation of the eXeLearning ELPX
exelearningllms.txtexelearning
exelearning/exelearning/llms.txt
backend runs on Bun + Elysia + Kysely with Yjs for real-time collaboration; > the frontend is vanilla JavaScript; desktop builds use Electron. This file indexes > the documentation most relevant for LLMs
lbednerReads credentialsllms.txtaegis-stack
lbedner/aegis-stack/llms.txt
need by selecting components during project creation: - **Core (always included)**: FastAPI backend + Flet frontend + CLI management - **Scheduler**: APScheduler for background tasks and cron jobs (available) - **Database**: PostgreSQL + SQLAlchemy + Alembic (coming
stellarllms.txtstellar-docs / static
stellar/stellar-docs/static/llms.txt
Network Ingestion Pipeline](https://developers.stellar.org/docs/build/apps/ingest-sdk/overview.md) - [Tutorial: Passkey Dapp](https://developers.stellar.org/docs/build/apps/guestbook/overview.md) - [Tutorial: Dapp Frontend](https://developers.stellar.org/docs/build/apps/dapp-frontend.md) [How-To Guides](https://developers.stellar.org/docs/build/guides.md) - [Contract Authorization](https://developers.stellar.org/docs/build/guides/auth.md) - [Contract
nirholasReads credentialsllms.txtpump-fun-sdk / pumpkit
nirholas/pump-fun-sdk/pumpkit/llms.txt
pumpkit/claim — Fee claim tracker (by token CA or X handle, Twitter follower display) - @pumpkit/web — Frontend dashboard (coming soon) ## Tech Stack - TypeScript (ES2022, strict mode, ES modules) - grammy (Telegram bot framework
mycelium-ioPipes a download into a shellllms.txtmycelium
mycelium-io/mycelium/docs/llms-full.txt
# Mycelium Documentation (full) Coordination layer for multi-agent systems. Concatenated from the source docs
Houseofmvpsllms.txtultraship
Houseofmvps/ultraship/llms.txt
code review (requesting + receiving), finishing branches, verification before completion, writing skills, dispatching parallel agents, frontend design, CLAUDE.md management, SEO + AI visibility audit, security audit, performance audit, penetration testing, deploy, release
agents-uillms.txtagents-kit
agents-ui/agents-kit/llms-full.txt
packages are pinned to `@livekit/components-react@2.9.24` and `livekit-client@2.22.3`. Use the [LiveKit frontend documentation](https://docs.livekit.io/frontends/) to configure your host application and token source. Generate access tokens
About llms.txt
What is llms.txt?
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.
What's llms-full.txt?
The same idea with the content included, so an agent can read the documentation in one request.
Who reads it?
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
How do I write one?
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.