How real projects summarise themselves for language models.
simongonzalezdcllms.txtsimongonzalezdc/GameStory-Lab/llms.txt
versioned concept history - export GDD, pitch, and technical documentation as markdown - run a React frontend, Node/Express backend, Prisma/PostgreSQL database, Redis queue, and optional local Ollama models ## Install / use Install with
strongeronllms.txtstrongeron/ui-guides-agent-rules/public/llms-full.txt
# UI Guides & Agent Rules — full corpus > Every published principle from https://ui-guides-agent-rules.netlify.app, inline. 411
thevibeworksllms.txtthevibeworks/deepseek-docs/llms-full.txt
--- title: "Chat Completions API" description: "Creates a model response for the given chat conversation
thomassuedbroeckerllms.txtthomassuedbroecker/galaxium-travels-infrastructure-tsuedbro/LLMS.txt
Flask → MCP tools | | HR_database | 8081 | HR_database/app.py | FastAPI + pandas + Markdown file | | hr_database_frontend_java | 8090 (container) / 8088 (local) | hr_database_frontend_java/start-hr-app.sh | Quarkus 3 + React
vanshulgoyal101llms.txtvanshulgoyal101/vbrain/llms-full.txt
# vbrain > A second brain built with vbrain: durable, refactor-safe Markdown notes about projects
zwq-topllms.txtzwq-top/ui-image-to-code-studio/llms.txt
screenshots, website URLs, AI-generated interface images, mockups, and optional screen recordings into maintainable frontend source, browser validation evidence, and editable Studio layers. Primary capabilities: - Screenshot to React, Vue, HTML
aaggarwa88llms.txtaaggarwa88/agentcms/llms.txt
matching schema.fields[].key Response: { "ok": true } Rate limit: 5 submissions per IP per minute Frontend snippet: async function submitForm(data) { const res = await fetch( `https://www.agentcms.app/api/p/{slug}/{dataset}/submit
aelenallms.txtaelena/claude-skills/llms.txt
install.ps1` copies them (Windows). ## Skills - [seo-geo-audit](seo-geo-audit/SKILL.md): Audits a frontend for classical SEO and for GEO — how easily a language model can extract, cite
alexlivrellms.txtalexlivre/pagespeed-optimizer-alexlivre/templates/llms-full.txt
optimized for Core Web Vitals, accessibility, and GEO. - **Specification Version**: 2.0 ## 2. Technical Stack - **Frontend**: Modern web frameworks (Next.js, Astro, Vite) or semantic HTML5. - **Performance Targets
AravindS-Wickllms.txtAravindS-Wick/aravindhan-skills/llms.txt
skill, webapp-testing, web-asset-generator Design & UI: ui-ux-pro-max, ckm-design, frontend-slides, algorithmic-art, theme-factory Mobile: building-native-ui (Expo Router), expo-tailwind-setup, expo
auditmosllms.txtauditmos/auditmos-lp/llms.txt
Edit (PostToolUse cleanup) - [Deep Modules](.claude/rules/deep-modules.md): Narrow interface, hidden implementation; module boundaries ### Frontend - [Astro](.claude/rules/frontend/astro.md): Pages, layouts, server vs client, endpoints, content collections, Cloudflare runtime - [Tailwind v4](.claude/rules/frontend/tailwind-v4.md): `@theme` tokens
BazingaOrgllms.txtBazingaOrg/repo-geo/llms.txt
confirmation. Runs ~20 checks and branches on repository type — backend-only, full-stack, or frontend. It reports what information is missing rather than emitting a score, and will propose deleting
BKR-57llms.txtBKR-57/symfony-ux-skills/llms.txt
Symfony UX AI Instructions > Curated AI-agent instructions for the Symfony UX frontend stack: Stimulus, Turbo, TwigComponent, LiveComponent. Covers Symfony UX 2.28+, Symfony 7.4/8.0, PHP 8.4+. ## Documentation - [Symfony
BranderUXllms.txtBranderUX/atelier-nova/public/llms.txt
hosts for it, built at the moment of the question, in the > brand. The frontend is one component in a thin Next.js shell, open source. App builders generate pages once
chenyuxiaojinllms.txtchenyuxiaojin/video-pipeline-mvp/llms.txt
server/ — MCP stdio server (server.py) data/projects/ — Project storage (storyboard.json, visuals/*.png, meta.json) site/ — Static frontend ``` ## Documentation - [中文文档 (README.zh-CN.md)](README.zh-CN.md
Citabilityllms.txtCitability/ai-visible-web-architecture/examples/llms-full.txt
Claude AI, OpenAI GPT, LangChain, Prompt Engineering - Automation: n8n, GitHub Actions, API Integration, Webhooks - Frontend: SvelteKit, React, TypeScript, Tailwind CSS - Backend: Node.js, Supabase, PostgreSQL, REST APIs ================================================================================ CONTENT PILLARS
danielrobinson-sudollms.txtdanielrobinson-sudo/ClaudeSkills/site/llms.txt
DevOps engineering skill covering CI/CD pipeline design, infrastructure as code with Terraform, container... - [Senior Frontend](https://borghei.github.io/Claude-Skills/skills/engineering/senior-frontend.html): Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications
darshakbhatt-aiproductlabsllms.txtdarshakbhatt-aiproductlabs/portfolio/docs/llms.txt
candles, scores breakouts against ADX + RSI + Bollinger squeeze + volume filters before placing orders. Frontend in Lovable. Note: the live UI triggers an n8n workflow that is currently disabled to prevent
diego-zetriallms.txtdiego-zetria/biso/public/llms.txt
biso — LLM-facing manifest Matrix-themed browser frontend for Claude Code with a living journal (`codex/journal.md`), workday tracker, codex-loop scheduler, observability hook, remote exec, and a unified CLI. This
EnzoVezzarollms.txtEnzoVezzaro/mcp-dominican-layer/llms-full.txt
# Example Clients Source: https://modelcontextprotocol.io/clients A list of applications that support MCP integrations
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.
