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.
ariaxhanllms.txtariaxhan/kernel-claude/llms.txt
kernel:human-pass`: the acceptance pass a human runs against a real build. - `/kernel:frontend` · `$kernel:frontend`: art direction derived from product and audience, not a house style. - `/kernel:marketing
BubblegunnPipes a download into a shellllms.txtBubblegunn/ai-slop-linter/llms-full.txt
Founding engineer, [Cendra](https://cendra.ai)** (Aug 2025 to Jul 2026): primary author of the frontend. ``` There is no dependable signal in the bold span alone that separates this structural
nodaroaillms.txtnodaroai/app.nodaro.ai/docs/llms.txt
step DAGs that run autonomously on a server. Nodaro is a Fastify backend + Vite/React frontend, source-available under the [Nodaro Sustainable Use License](https://github.com/nodaroai/app.nodaro.ai/blob/main/LICENSE). The backend is REST
bablsoftllms.txtbablsoft/accessflow/website/llms.txt
payloads, WebSocket events - [Backend](https://raw.githubusercontent.com/bablsoft/accessflow/main/docs/05-backend.md): Modular backend, proxy engine, workflow state machine - [Frontend](https://raw.githubusercontent.com/bablsoft/accessflow/main/docs/06-frontend.md): React/Vite layout, SQL editor, TanStack & Zustand - [Security](https://raw.githubusercontent.com/bablsoft/accessflow/main/docs/07-security.md): JWT, SAML
daftAI2026llms.txtdaftAI2026/awesome-jev/public/llms-full.txt
# Awesome JEV > Awesome JEV (awesome-jev): a free GitHub directory for TypeSafe Jev / System
bradleybond512llms.txtbradleybond512/crystal-ball/public/llms-full.txt
temporal windows against learned baselines with per-term spike multipliers and cooldowns ## Tech Stack - **Frontend**: TypeScript, Vite, MapLibre GL JS, deck.gl (WebGL), D3.js, Supercluster (marker clustering), Transformers.js (browser-side
bradleybond512llms.txtbradleybond512/crystal-ball/public/llms.txt
builds are experimental, and CI is not proof of packaged runtime parity. ## Tech Stack - **Frontend**: TypeScript, Vite, MapLibre GL JS, deck.gl, D3.js, Transformers.js (browser-side ML) - **Internationalization**: i18next with lazy
fracturedringllms.txtfracturedring/renpy-mcp/llms.txt
gui/frontend/src/api/client.ts): fetch wrapper; use `api ("/api/...", {json, method})` for every call - [gui/frontend/src/api/types.ts](gui/frontend/src/api/types.ts): shared frontend types that mirror MCP tool responses - [tests/](tests/): pytest suite, 378 tests, ~10s full
JoahanMoralesReads credentialsllms.txtJoahanMorales/upiixia-agentic-kit/llms.txt
call (`uak next` ~2 s on GitHub) and `uak wait` instead of polling; a frontend gate (`product-ui` skill, `uak design-lint` after every UI edit, a design lock picked
nirholasllms.txtnirholas/pumpfun-creator-rewards/llms-full.txt
frontend-api-v3.pump.fun/users/{username|wallet}`: username → wallet These are the same endpoints the live pump.fun frontend calls. Not affiliated with Pump.fun. ## Local dev ```bash npm install npm run dev # vite
vivekchandllms.txtvivekchand/flywheel.md/llms-full.txt
tool: https://flywheel.md/examples/cli-tool.md - Library: https://flywheel.md/examples/library.md - Web service: https://flywheel.md/examples/web-service.md - Frontend app: https://flywheel.md/examples/frontend-app.md - ML project: https://flywheel.md/examples/ml-project.md ## How agents load it No coding tool
vivekchandllms.txtvivekchand/flywheel.md/llms.txt
service](https://flywheel.md/examples/web-service.md): A FLYWHEEL.md for a deployed backend service. - [Frontend app](https://flywheel.md/examples/frontend-app.md): A FLYWHEEL.md for a user-facing web app. - [ML project](https://flywheel.md/examples/ml-project.md):
danieltamasPipes a download into a shellllms.txtdanieltamas/run.dev/llms.txt
crash diagnosis via Claude. ## Who it's for Developers running multiple services locally — microservices, frontends, APIs. Anyone tired of opening 6 terminal tabs every morning and fighting "address already
sandraschillms.txtsandraschi/mixx-dj-mcp/llms.txt
pack . dist/mixx-dj-mcp.mcpb # Build MCPB bundle ``` ## Ports | Port | Service | |------|---------| | 11116 | Backend (FastMCP HTTP + REST) | | 11117 | Frontend (Vite dev server) | | 11118 | Mixxx OSC output (feedback from Mixxx) | | 11119 | Mixxx OSC input (commands
WFekikllms.txtWFekik/HermOS-IDE/hermos-website/llms-full.txt
zero cloud telemetry. ## Technical Architecture - **Desktop Runtime**: Tauri 2.0 with Rust backend security model - **Frontend Stack**: Next.js 16 (App Router), React 19, Tailwind CSS v4, Lucide Icons - **Database / Local Cache
confused-aiReads credentialsllms.txtconfused-ai/personaforge/docs/llms-full.txt
# personaforge — Full Documentation > This file is the complete, machine-readable documentation for personaforge (1.1.0
lacymorrowllms.txtlacymorrow/juno/LLMs.txt
single source of truth for architecture rules, the backend-owns-logic / frontend-is-display boundary, build and test commands, and the rule that Rust is compiled and checked
mohamed-ashraf-elsaedPipes a download into a shellllms.txtmohamed-ashraf-elsaed/aletheia-mem/site/llms-full.txt
# Aletheia documentation (full text) > Aletheia (npm package aletheia-mem) is a free, local memory
mohamed-ashraf-elsaedllms.txtmohamed-ashraf-elsaed/aletheia-mem/site/llms.txt
turns "no such table" and "no such column" into an empty result, s... - [6. Frontend](https://aletheia.mohamedashrafelsaed.com/docs/06-frontend.md): Aletheia has one app page at /. It is plain HTML
nirholasReads credentialsllms.txtnirholas/three-ui/llms-full.txt
jobs handle scheduled blockchain operations (ERC-8004 crawl, DCA execution, subscription execution). --- ## Tech Stack **Frontend** | Technology | Version | Purpose | |---|---|---| | three.js | r176 | WebGL 2.0 rendering | | Vite | 7.3.2 | Build tooling + HMR | | Vitest
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.
