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.
sipyourdrink-ltdPipes a download into a shellllms.txtsipyourdrink-ltd/bernstein/docs/llms-full.txt
Grafana dashboards. Per-model cost tracking (`bernstein cost`). Terminal TUI and web dashboard. - **Ecosystem**. MCP server mode, A2A protocol support, GitHub App integration, pluggy-based plugin system, multi-repo workspaces
1 project uses a version of this
sipyourdrink-ltdllms.txtsipyourdrink-ltd/bernstein/docs/llms.txt
Install, configure, run first orchestration in 60 seconds - [Architecture & Concepts](https://docs.bernstein.run/architecture/ARCHITECTURE/): Task server, agent spawner, janitor verification, worktree isolation - [Adapter Reference](https://docs.bernstein.run/adapters/): 40+ supported agents - Claude
1 project uses a version of this
hanzohanzhellms.txthanzohanzhe/Grandet/llms.txt
evidence. Grandet Skill 0.3.0 (public preview) brings the same lookup into agents. An anonymous MCP server at https://grandet.ai/mcp offers the same lookup to any MCP client. This repository
hoangsonwwllms.txthoangsonww/Claude-Code-Agent-Monitor/llms.txt
Express + SQLite server, the React UI updates over WebSocket, and an optional local MCP server exposes safe dashboard tools. This repository is MIT-licensed; default stack is Node.js 18+, React
No other project uses it yet
steveseguinllms.txtsteveseguin/social_stream/llms.txt
socialstream.ninja/docs/skills/control-social-stream/references/version-log.md SSApp 0.4.7 and newer can be launched as a local stdio MCP server with `--ssapp-mcp`. Normal users should enable File > Local AI / Automation, restart SSApp, and choose
No other project uses it yet
agentbay-aiReads credentialsllms.txtagentbay-ai/wuying-agentbay-sdk/llms-full.txt
Directory structure: └── wuying-agentbay-sdk/ ├── README.md ├── docs/ │ ├── README.md │ ├── guides/ │ │ ├── README.md │ │ ├── browser-use/ │ │ │ ├── README.md │ │ ├── codespace
1 project uses a version of this
agentbay-aiReads credentialsllms.txtagentbay-ai/wuying-agentbay-sdk/llms.txt
Directory structure: └── wuying-agentbay-sdk/ ├── README.md ├── docs/ │ ├── README.md │ ├── guides/ │ │ ├── README.md │ │ ├── browser-use/ │ │ │ ├── README.md │ │ ├── codespace
1 project uses a version of this
borgheiReads credentialsllms.txtborghei/Claude-Skills/site/llms.txt
landing sites that do not look generic: one system, plain copy, real imagery, restrained... - [Mcp Server Builder](https://borghei.github.io/Claude-Skills/skills/engineering/mcp-server-builder.html): Builds MCP servers: OpenAPI-to-tool conversion, tool and schema
hareharePipes a download into a shellllms.txtharehare/mq/docs/llms-full.txt
Exit app | | `↑`/`k`, `↓`/`j` | Navigate results | | `d` | Toggle detail view | | `?` / `F1` | Show help screen | --- # MCP Server The mq MCP server exposes four tools for AI applications: - `html_to_markdown` - Converts
No other project uses it yet
hareharellms.txtharehare/mq/docs/llms.txt
/playground): Interactive browser playground - [TUI](https://mqlang.org/book/start/tui): Interactive terminal UI for querying Markdown - [MCP Server](https://mqlang.org/book/start/mcp): Model Context Protocol integration for AI applications ## Optional - [Web Crawler
sirkirbyReads credentialsllms.txtsirkirby/unifi-mcp/docs/llms.txt
UniFi MCP > UniFi MCP is an open-source collection of local-first MCP servers and an independent HTTP API for controlled access to UniFi Network, Protect, and Access infrastructure, plus
agentic-communityPipes a download into a shellllms.txtagentic-community/mcp-gateway-registry/docs/llms.txt
Summary This project provides an enterprise-ready gateway and registry for Model Context Protocol (MCP) servers, enabling centralized management, secure access, and dynamic tool discovery for AI agents and development
sirkirbyllms.txtsirkirby/unifi-network-mcp/docs/llms.txt
UniFi MCP > UniFi MCP is an open-source collection of local-first MCP servers and an independent HTTP API for controlled access to UniFi Network, Protect, and Access infrastructure. UniFi
MartinDelophyllms.txtMartinDelophy/ai-video-editor/public/llms-full.txt
STDIO MCP operate on project files. The website does not host a remote MCP or OAuth server. - Tool results can include project metadata, caption text and explicitly requested rendered media
MartinDelophyllms.txtMartinDelophy/ai-video-editor/public/llms.txt
Tools do not provide arbitrary URL imports, media upload, remote generation or a hosted MCP server. ## Citation guidance Use the canonical pages above for current product claims. Do not describe
Vrun-designllms.txtVrun-design/openflowkit/public/llms.txt
github.com/openflowkit/openflowkit Write Mermaid or OpenFlow DSL, hand it to the `openflowkit` MCP server, and save the result as a `.openflow.json` beside the code it explains: it opens at app.openflowkit.com
duriantacoReads credentialsllms.txtduriantaco/skylos/llms-full.txt
plus sales tax or VAT. Credits never expire. - Interfaces: CLI, GitHub Action, MCP server, VS Code extension. ## Best repo entry points - README overview: https://github.com/duriantaco/skylos - Quick start: https://github.com
duriantacoReads credentialsllms.txtduriantaco/skylos/llms.txt
plus sales tax or VAT. Credits never expire. - Interfaces: CLI, GitHub Action, MCP server, VS Code extension. ## Start here - Install: `pip install skylos` - Find dead code: `skylos .` - Run every analyzer
JuliusBrusseellms.txtJuliusBrussee/caveman-code/llms.txt
isolated subagents via Task tool 6. Native MCP client; caveman-code can serve as MCP server 7. Aider-grade repo map (PageRank) + edit-format-per-model 8. Daemon (`caveman serve
GarethManningllms.txtGarethManning/claude-education-skills/llms.txt
architecture, usage, and domain table - [ARCHITECTURE.md](https://github.com/GarethManning/education-agent-skills/blob/main/docs/ARCHITECTURE.md): Three-layer system design and MCP server roadmap - [EXCLUSIONS.md](https://github.com/GarethManning/education-agent-skills/blob/main/docs/EXCLUSIONS.md): What was excluded and why (learning styles, VAK, unsupported
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.
