How real projects summarise themselves for language models.
danicatllms.txtdanicat/skills/llms.txt
conquer architecture for complex, multi-system, or orthogonal engineering initiatives (e.g., concurrent backend, frontend, database, QA). Manages hierarchical Lead Agents and Specialists, disjoint work allocations, and strict parent-child communication
akustikrauschllms.txtakustikrausch/gonzales/llms.txt
automations - Dark/light theme support - Mobile-responsive design ## Technical Stack - Backend: Python, FastAPI, SQLAlchemy, SQLite - Frontend: React, TypeScript, Vite, Recharts, TanStack Query - Speed Testing: Ookla Speedtest CLI (third-party, separate license
mimnetsllms.txtmimnets/OpenHRApp/public/llms-full.txt
# OpenHRApp > OpenHRApp is free, open-source HR management software for small and mid-sized
MustaphaStephllms.txtMustaphaSteph/agent-bus/llms.txt
project. Errors: `INVALID_INPUT`, `NAME_TAKEN`. Example: ``` register({ name: "worker-a", team: "frontend", capabilities: ["tests","review"] }) ``` ### send Fire-and-forget message to another agent. Input: - `from: string` — your registered name
Nanako0129llms.txtNanako0129/TokenBar-Tauri/llms.txt
updater ## Architecture - [Tauri shell source](https://github.com/Nanako0129/TokenBar/tree/main/src-tauri): Rust backend, native tray, animation frames - [Frontend source](https://github.com/Nanako0129/TokenBar/tree/main/src): React + Vite, react-three-fiber 3D graph - [tokscale upstream](https://github.com
skein-jsllms.txtskein-js/skein-js/llms.txt
Logger` interface, and the `skein dev` failure block. - [React SDK / useStream](https://github.com/skein-js/skein-js/blob/main/docs/react-sdk.md): Frontend compatibility — `@langchain/langgraph-sdk` and `useStream` over SSE. - [Storage](https://github.com/skein-js/skein-js/blob/main/docs/storage.md): `SkeinStore`, in-memory vs Postgres
wonsukchoillms.txtwonsukchoi/domain-experts/docs/llms.txt
method to confirm it solidifies after the section it feeds, isolating whether a gas… - [Frontend Engineer](https://domainexperts.dev/roles/frontend-engineer/): diagnosing which Core Web Vital (LCP/INP/CLS) a change actually affects before
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
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
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):
event4u-appllms.txtevent4u-app/agent-config/llms.txt
says 'deploy to staging' without naming AWS. blade-ui: Use when the project's frontend stack is Blade — dispatched by `directives/ui/{apply,review,polish}.ts`. Covers views, components, partials, layouts
yerdaulet-damirllms.txtyerdaulet-damir/vibe-coding-rules/llms.txt
applications, eight Claude Code skills (debug-backend, new-feature, split-monolith, add-provider, debug-frontend, new-feature-nextjs, debug-go, new-feature-go), a `CLAUDE.md` file with authoritative instructions
adamdrobertsllms.txtadamdroberts/agent-skills/llms-full.txt
# adamdroberts/agent-skills — full documentation bundle Concatenated copy of the canonical project documentation and skill content
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
crystalball.app/api/download?platform=macos-x64): macOS x64 build - [Linux AppImage](https://crystalball.app/api/download?platform=linux-appimage): Linux .AppImage ## Tech Stack - **Frontend**: TypeScript, Vite, MapLibre GL JS, deck.gl, D3.js, Transformers.js (browser-side ML) - **Internationalization**: i18next with lazy
danieltamasllms.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
strikersamllms.txtstrikersam/autonomous-ai-agency/.agents/skills/llms.txt
taste-skill: The main design skill for premium frontend code. Covers layout, typography, colors, spacing, and motion. redesign-skill: For upgrading existing projects by auditing and fixing design problems. soft
txn2llms.txttxn2/mcp-data-platform/docs/llms.txt
rendered family (HTML, JSX, markdown, SVG) is verified against a live stack by `make frontend-e2e-public-viewer`, which is not part of make verify. A JSX artifact carries
KyaniteLabsllms.txtKyaniteLabs/tastecheck/llms.txt
TasteCheck TasteCheck is a frontend taste and ship-gate toolkit for AI coding agents and frontend engineers who want evidence-backed UI quality. Release inventory: v1.7.0 · 20 skills · 20 canonical
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.
