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.
axocoatlPipes a download into a shellllms.txtaxocoatl/axocoatl/llms.txt
workbench browser assets. Those assets are embedded, so using Axocoatl requires no separate frontend install or bundled browser runtime. Rootless Podman remains the local sandbox requirement for repository Sessions. Install
littlebearappsPipes a download into a shellllms.txtlittlebearapps/untether/llms-full.txt
# Untether > Telegram bridge for AI coding agents. Send tasks by voice or text, stream
orwa-mahmoudllms.txtorwa-mahmoud/adapttable/llms-full.txt
# AdaptTable — full documentation > AdaptTable v3 documentation: a framework-neutral data engine in @adapttable/core, headless
orwa-mahmoudllms.txtorwa-mahmoud/adapttable/llms.txt
# AdaptTable > AdaptTable provides MIT-licensed React and Angular data tables. React kits include Mantine
OpendrayPipes a download into a shellllms.txtOpendray/opendray/llms.txt
binary, cosign-signed releases with SPDX SBOM. ## Not what it is - Not a chat frontend (compare Open WebUI, LibreChat). opendray runs the actual agentic CLI process with tool
wasp-langllms.txtwasp-lang/open-vibe/public/llms.txt
from a default Wasp template. You'll > learn what a web app *is* — frontend, backend, database — and how to direct an > AI agent to extend it. Best
karthikrshetllms.txtkarthikrshet/Career-Agents/llms.txt
# Career-Agents LLM Discovery Catalog This file contains the map of available agents, operational
johnxiellms.txtjohnxie/awesome-code-docs/llms-full.txt
# Awesome Code Docs (Full Tutorial Index) Main repository: - https://github.com/johnxie/awesome-code-docs ## A2A Protocol Tutorial
johnxiellms.txtjohnxie/awesome-code-docs/llms.txt
Tutorial: Spec-Driven Development for Coding Agents: https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/shotgun-tutorial - SillyTavern Tutorial: Advanced LLM Frontend for Power Users: https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/sillytavern-tutorial - SiYuan Tutorial: Privacy-First Knowledge Management: https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/siyuan-tutorial
sandraschiDeletes or force-pushesllms.txtsandraschi/blender-mcp/llms-full.txt
exit for launcher restarts), `POST /tool` (MCP-bridge tool invoke used by the webapp). - Frontend http://localhost:10848 (vite dev; same-origin `/api` + `/mcp` proxy). - Tool docs: docs/TOOLS.md (index) + docs/FEATURES.md
Rtur2003llms.txtRtur2003/Claude-Code-Promts-Skills/llms.txt
skills, plugins, MCP servers, and agent toolkits: ./prompts/english/workflows/ecosystem-discovery-guide.md ## Building software (project-type prompts) - Web frontend: ./prompts/english/project-types/web-development-prompt.md - API: ./prompts/english/project-types/api-development-prompt.md - Full-stack: ./prompts/english/agents/fullstack-development-prompt.md - Mobile: ./prompts/english/project-types/mobile-development-prompt.md - Desktop: ./prompts/english/project-types/desktop-development-prompt.md - Data / ML: ./prompts/english/project-types/data-science-ml-prompt.md - DevOps
imMamdouhaboammarllms.txtimMamdouhaboammar/motion-graphics-skills/landing/llms.txt
Direct: - motion-director - mix-and-match - brand-intake - motion-brief-writer - brandkit - design-taste-frontend - design-taste-frontend-v1 - gpt-taste - high-end-visual-design - motion-design - redesign-existing-projects
sandraschiReads credentialsllms.txtsandraschi/calibremcp/llms-full.txt
python -m calibre_mcp` with transport flags per `README.md` - **Webapp:** `webapp/start.ps1` — backend **10720**, frontend **10721** (fleet adjacent ports) --- ## Architecture - **FastMCP** app in `src/calibre_mcp/server.py` · tools under `src/calibre_mcp/tools/` - **RAG:** `src/calibre_mcp/rag/` — LanceDB / fastembed
sandraschillms.txtsandraschi/calibremcp/llms.txt
with `CALIBRE_LIBRARY_PATH` or switch library via tool. 3. **Webapp:** `webapp/start.ps1` — backend **10720**, frontend **10721**. ## Docs (curated) | Doc | Purpose | |-----|---------| | [README.md](README.md) | Install, features, examples | | [docs/README.md](docs/README.md) | Documentation hub | | [docs/DOCUMENTATION_INDEX.md
The-Best-CodesPipes a download into a shellllms.txtThe-Best-Codes/agent-one/.agents/docs/tauri.app/llms-full.txt
tauri-app ``` * Cargo ```sh cargo install create-tauri-app --locked cargo create-tauri-app ``` [Frontend Independent](/start/frontend/) [Bring your existing web stack to Tauri or start that new dream project
The-Best-Codesllms.txtThe-Best-Codes/agent-one/.agents/docs/tauri.app/llms.txt
tiny, fast binaries for all major desktop and mobile platforms. Developers can integrate any frontend framework that compiles to HTML, JavaScript, and CSS for building their user experience while leveraging
xiaobei930llms.txtxiaobei930/cc-best/docs/llms.txt
Components - 44 commands (role, mode, build, git, context, quality, ops, setup) - 19 skills (backend, frontend, testing, security, architecture, devops, git, learning) - 8 agents (architect, planner, code-reviewer, code-simplifier, security
anthony-chaudharyPipes a download into a shellllms.txtanthony-chaudhary/fak/llms-full.txt
# fak — the agent kernel: full documentation corpus > This file inlines the full text of
yerdaulet-damirllms.txtyerdaulet-damir/awesome-solo-ai/docs/llms.txt
every task. ## Start with a task - [Guides](https://github.com/yerdaulet-damir/awesome-solo-ai/blob/main/guides/README.md): Task-based tutorials for frontend design, automation, media workflows and reviewing AI-generated code. - [Skills library](https://github.com/yerdaulet-damir/awesome-solo-ai/blob/main/skills/README.md): Coding
memi-designllms.txtmemi-design/memi/llms.txt
Memi — frontend evidence for coding agents **Published beta:** `2.8.0-beta.2` is available as an exact npm version. The [immutable beta2 npm record](https://github.com/memi-design/memi/blob/main/release-artifacts/npm/2.8.0-beta.2.release.json) binds its exact source
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.
