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.
sandraschiReads credentialsllms.txtsandraschi/libreoffice-mcp/llms-full.txt
MODEL LIBREOFFICE_MCP_SAMPLING_USE_CLIENT_LLM LIBREOFFICE_MCP_PREFAB_APPS ## Ports Backend 10981 | Frontend 10983 | Extension bridge 8765 ## Host LibreOffice 26.2.3.2+ recommended on Windows (soffice.exe
sandraschillms.txtsandraschi/libreoffice-mcp/llms.txt
EXTENSION_BRIDGE_URL, LIBREOFFICE_MCP_SAMPLING_BASE_URL, LIBREOFFICE_MCP_SAMPLING_MODEL Backend: 10981 | Frontend: 10983 | MCP: http://localhost:10981/mcp
adiprmxllms.txtadiprmx/atlys/llms.txt
guideline - [brutalist-skill](design/brutalist-skill/SKILL.md) (design): Raw mechanical interfaces fusing Swiss typographic print with military - [frontend-image-direction](design/frontend-image-direction/SKILL.md) (design): Section references, mobile screen concepts, and brand-consistent image - [gpt-tasteskill
ashlraiReads credentialsllms.txtashlrai/ashlr-md/landing/llms-full.txt
doctor says to. Threat model: https://github.com/ashlrai/ashlr-md/blob/main/SECURITY.md ## Repo map | Path | What | |---|---| | `src/` | React frontend | | `src-tauri/src/` | Rust app core | | `src-tauri/bins/` | `mdopen`, `mdopener-mcp`, macOS Swift sidecars
crewswarmPipes a download into a shellllms.txtcrewswarm/crewswarm/website/llms-full.txt
want to talk straight to one CLI. **Ports when running:** | Service | Port | |---|---| | Dashboard (Vite frontend + API) | 4319 | | **Vibe (optional)** | 3333 | | crew-lead (chat + dispatch) | 5010 | | RT message bus | 18889 | | Code
crewswarmllms.txtcrewswarm/crewswarm/website/llms.txt
verification-first patch critic - tool auto-filtering chat recall summon personas - DESIGN.md artifact for frontend tasks ## Best-fit use cases - AI-native software teams that want more than one editor
edumgtReads credentialsllms.txtedumgt/domain-rag-lab/llms.txt
symbol atlas in `frontend/app.js`; run via `docker compose exec api python -m app.ops.backfill_ohlcv` ## Frontend - [frontend/index.html](frontend/index.html), [frontend/app.js](frontend/app.js), [frontend/auth.js](frontend/auth.js), [frontend/style.css](frontend/style.css): main static SPA (chat, stock view with
Git-Rocky-Stackllms.txtGit-Rocky-Stack/Team-X/docs/llms.txt
Cancel all running agents" ### Employee Roles (57 total) **Engineering:** Full Stack Engineer, Backend Engineer, Frontend Engineer, DevOps Engineer, Security Engineer, QA Engineer, Database Architect **Design:** UI/UX Designer, Graphic Designer, Product
imMamdouhaboammarllms.txtimMamdouhaboammar/unslop-preflight/llms.txt
package for creating, auditing, and repairing PRODUCT.md and DESIGN.md before AI-assisted frontend implementation. Repository: https://github.com/imMamdouhaboammar/unslop-preflight Skills.sh: https://skills.sh/imMamdouhaboammar/unslop-preflight Install: npx skills add imMamdouhaboammar/unslop-preflight CLI: npx unslop
Iron-Markllms.txtIron-Mark/Iron-Mark/llms.txt
first emergency UX (ResQLink)](https://www.marksiazon.dev/writing/offline-first-ux): designing for zero connectivity ## Social and community - [Frontend Mentor](https://www.frontendmentor.io/profile/Iron-Mark): front-end challenge profile - [TikTok](https://www.tiktok.com/@iron_markk): short-form build
Iron-Markllms.txtIron-Mark/Iron-Mark/public/llms-full.txt
verification dates, prefer https://www.marksiazon.dev/llms-full.txt. ## Social and community - LinkedIn: https://www.linkedin.com/in/mark-siazon/ - Frontend Mentor: https://www.frontendmentor.io/profile/Iron-Mark - TikTok: https://www.tiktok.com/@iron_markk ## What is Mark Siazon open to? **Key takeaway
isatimurllms.txtisatimur/presentation-md/web/llms.txt
prompt decks: `scaffold_deck` → `studio_share_url`. Honest compare: https://presentation-md.vercel.app/vs/hallmark - **vs. frontend-slides:** Same discovery energy (3 live theme previews); plus schema-validated Deck JSON, 75 structured proofs
kalturaReads credentialsllms.txtkaltura/kaltura-agents-api-guides/llms.txt
users — event invitations, attendance... - [Kaltura Unisphere Framework API](/raw/KALTURA_UNISPHERE_FRAMEWORK_API.md): Unisphere is Kaltura's micro-frontend framework for embedding composable experiences. Load a workspace, configure runtimes (AI search, media... ## Sharing & Distribution
kennetvnllms.txtkennetvn/nextcore-skills/llms.txt
production product built and run by AI coding > agents: nextcore-design (UI), nextcore-dev (frontend ↔ backend contract), nextcore-workflow (running agents). Agents: read AGENTS.md first — it routes "is this useful
parousia8888llms.txtparousia8888/web-app-security-skill/llms.txt
SKILL.md` name field. ## What the skill does - Runs a phased security program: scope gate, frontend exposure, API security, LLM security and federated identity, server-side code audit, database isolation, supply
Phaedra-Solutionsllms.txtPhaedra-Solutions/cursor-rules/llms.txt
developer tool ## Optional - [Rules folder](https://github.com/Phaedra-Solutions/cursor-rules/tree/master/rules): every stack rule by category (languages, frontend, backend, data, mobile, testing, devops, ai, cms-commerce, legacy) - [Skills folder](https://github.com/Phaedra-Solutions/cursor-rules/tree/master/skills): upgrade
qmmughalllms.txtqmmughal/AgentWire/llms.txt
data leakage. ## Architecture - Backend: ASP.NET Core 10, .NET Aspire - Database: PostgreSQL, ClickHouse, Redis - Frontend: Next.js, React, Tailwind CSS - Infrastructure: Docker, Kubernetes ## Key Features - 100% Open Source (Apache 2.0) with zero
sandraschiReads credentialsllms.txtsandraschi/arxiv-mcp/llms-full.txt
Python 3.11+, uv, pypdf, optional React/Vite dashboard (`web_sota/`, ports **10770** backend / **10771** frontend). - **Transports:** stdio (`python -m arxiv_mcp --stdio`) and streamable HTTP (`--serve`, FastMCP `http_app` at `/mcp
sandraschillms.txtsandraschi/bookmarks-mcp/llms-full.txt
default, the web dashboard runs on port **10802**. *(Assigned ports: **10802** (Web dashboard frontend), **10803** (Web dashboard backend))* To start the webapp: 1. Navigate to the `webapp` (or `web`, `frontend
sandraschiReads credentialsllms.txtsandraschi/email-mcp/llms-full.txt
replies, approve_reply, auto_respond_now ## Architecture - **Backend**: FastMCP 3.2+ / FastAPI on port 10813 - **Frontend**: React 19 + Vite + Tailwind on port 10812 - **DB**: JSON file-based (contacts, drafts, rules, signatures
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.
