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.
nirholasReads credentialsllms.txtnirholas/robinhood-chain-launcher/llms-full.txt
/tx/0x63da3b0a80cbc836806ed055ed797667e7ec59391cf7aeb5a3dcfeb9152756d0) byte-for-byte, selector `0x686399cb` included. ABI recovered from NOXA's own production frontend bundle. | | `odyssey` (`instant`) | mainnet only | One payable call to The Odyssey's instant factory: `msg.value
sandraschillms.txtsandraschi/sdr-mcp/llms-full.txt
dashboard ↓ RTL-SDR (USB) or rtl_tcp ↓ GNU Radio sidecar (Docker) ``` ## Ports | Service | Port | |---------|------| | Frontend (Vite React) | 11118 | | MCP HTTP (/mcp) | 11119 | | GNU Radio demod sidecar | 11223 (compose `gnuradio-demod
sandraschillms.txtsandraschi/sdr-mcp/llms.txt
full reference - [README](README.md) — quick start - [docs/MCP_SERVER.md](docs/MCP_SERVER.md) — tool reference ## Quick Facts - Ports: 11118 (frontend), 11119 (MCP HTTP /mcp), 10892 (web API) - 6 portmanteau tools: sdr_device, sdr_spectrum
talberthoulellms.txttalberthoule/backchannel/site/llms.txt
hosted service and no pricing tiers, and self-hosting with Docker Compose (React frontend, FastAPI backend, PostgreSQL) requires no account of any kind. The prebuilt desktop executables for Windows, macOS
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
andrueandersoncsReads credentialsllms.txtandrueandersoncs/claude-skill-effect-ts/references/llms-full.txt
This is the full developer documentation for Effect. # Start of Effect documentation # [Batching](https://
derob98Reads credentialsllms.txtderob98/ailmanac/static/llms.txt
# AILmanac > The always-current, community-built almanac for getting the most out of Claude
eduardocornelsenllms.txteduardocornelsen/cv-educornelsen/public/llms.txt
Python, SQL, Pandas, scikit-learn - **AI/Agents**: LangChain, LangGraph, MCP (Model Context Protocol), Gemini, SHAP - **Frontend**: React, TypeScript, Vite, Tailwind CSS, D3.js, Three.js - **Infrastructure**: Google Cloud Run, Docker, GitHub Actions, Supabase
Hayatelinllms.txtHayatelin/taste-skill-zh-CN/skills/llms.txt
v2.0.0 稳定版持续迭代中。 taste-skill-v1: taste-skill 的原始 v1 版本，为依赖其精确行为的项目保留。目前缺省版本是 `design-taste-frontend`（v2 实验版）。 gpt-taste: 顶尖 Awwwards 等级的前端设计与 GSAP 动效 skill，用于产生高级、确定性、反 slop
Speraxllms.txtSperax/sperax-skills/llms-full.txt
track ## Phishing Detection ### Common Phishing Vectors | Vector | How It Works | Prevention | |--------|-------------|-----------| | Fake DEX frontend | Clones real UI, sends funds to attacker | Bookmark real URLs | | Fake airdrop claim | "Claim your tokens
veggiemonkllms.txtveggiemonk/backlog/docs/llms.txt
generate and export monthly performance reports in PDF format." \ -a "drew" \ -l "feature,frontend,backend" \ --priority "high" \ --ac "Report generation logic is accurate." \ --ac "Users can select a date range
ahnafnafeellms.txtahnafnafee/ahnafnafee.dev/public/llms-full.txt
# Ahnaf An Nafee - Full Site Content > Complete text of every blog post, research entry
Amey-Thakurllms.txtAmey-Thakur/AI-SKILLS/docs/llms.txt
# AI Skills > Plug-and-play skills and prompts for every AI coding agent. Each
AsenaJsReads credentialsllms.txtAsenaJs/Website/public/llms-full.txt
WebSockets, messaging and static or Bun-bundled HTML. It does not ship an opinionated frontend rendering layer. ## Related - [Get Started](/docs/get-started) - Build your first Asena application - [Dependency Injection](/docs/concepts/dependency-injection
AsenaJsllms.txtAsenaJs/Website/public/llms.txt
Cron-based background jobs with @Schedule and CronRunner, powered by Bun's native cron - [Frontend Controller](https://asena.sh/raw/concepts/frontend-controller.md): Serve HTML pages with @FrontendController and @Page using Bun's native
heptauReads credentialsllms.txtheptau/pgarachne/docs/llms-full.txt
SPAs) or the Explorer tool directly. This architecture dramatically simplifies the stack: Database ↔ PgArachne ↔ Frontend / AI Agent. Endpoint structure: All database endpoints share a common prefix (default `db`, configurable
Pseudogiant-xrReads credentialsllms.txtPseudogiant-xr/Pseudolife-MCP/llms-full.txt
# Pseudolife-MCP — full documentation > Persistent long-term memory for Claude Code, Codex, and other
sandraschillms.txtsandraschi/bumi-mcp/llms-full.txt
virtual-twin guidance, optional robot bridge. ## Ports | Service | Port | |---------|------| | Backend (FastAPI + MCP /mcp) | 10774 | | Frontend (Vite React) | 10775 | ## MCP Tools - `bumi_specs` — Hero robot specifications and capabilities - `bumi_links
sandraschiPipes a download into a shellllms.txtsandraschi/filesystem-mcp/llms-full.txt
# filesystem-mcp > **Complete guide to packaging and distributing MCP servers with MCPB** --- 📄 [MCPB_BUILDING_GUIDE.md](MCPB_BUILDING_GUIDE.md
sandraschiReads credentialsllms.txtsandraschi/filesystem-mcp/llms.txt
writes with per-path asyncio locks and automatic `.backup` files - Ports: backend 10742, webapp frontend 10743 (dev) - REST: /api/health, /api/status, /api/capabilities, /api/skills, /api/llm/discover, /api/llm/chat, /api/v1/diagnostics ## Docs - [Readme](README.md): Overview, quick
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.
