thevibeworksPipes a download into a shellllms.txtdeepseek-docs
thevibeworks/deepseek-docs/llms-full.txt
--- title: "Chat Completions API" description: "Creates a model response for the given chat conversation
llms.txt examples
How real projects summarise themselves for language models.
Your trail
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.
Best matches · from page 20Worked for most · soon
thevibeworksPipes a download into a shellllms.txt
thomassuedbroeckerReads credentialsllms.txtgalaxium-travels-infrastructure-tsuedbro
thomassuedbroecker/galaxium-travels-infrastructure-tsuedbro/LLMS.txt
tools | | hr_database_backend | 8081 | hr_database_backend/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
vanshulgoyal101Reads credentialsllms.txtvbrain
vanshulgoyal101/vbrain/llms-full.txt
# vbrain > A second brain built with vbrain: durable, refactor-safe Markdown notes about projects
vexi-v1Reads credentialsllms.txtrobinhood-wallet-connector
vexi-v1/robinhood-wallet-connector/llms-full.txt
documentation](https://raw.githubusercontent.com/vexi-v1/robinhood-wallet-connector/main/llms-full.txt) · [Integration guide](https://raw.githubusercontent.com/vexi-v1/robinhood-wallet-connector/main/docs/ai-integration.md) **Connect Robinhood Wallet to mainstream frontend wallet SDKs.** An open-source integration toolkit for dApp developers, with adapters for **wagmi v2/v3
vexi-v1llms.txtrobinhood-wallet-connector
vexi-v1/robinhood-wallet-connector/llms.txt
Robinhood Wallet Connector > A community TypeScript toolkit for connecting Robinhood Wallet to frontend applications through wagmi v2/v3, RainbowKit, Web3-Onboard, AppKit, ConnectKit, ethers v6, viem, thirdweb, Dynamic React or Privy
zwq-topllms.txtui-image-to-code-studio
zwq-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.txtagentcms
aaggarwa88/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.txtclaude-skills
aelena/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
agenticaihomellms.txtagenticaihome-v2 / static
agenticaihome/agenticaihome-v2/static/llms-full.txt
premine, no VC funding - Sustainability: energy-efficient PoW with storage rent model **Technical Architecture:** - Frontend: SvelteKit, Tailwind CSS, shadcn-svelte, adapter-static - Blockchain: Fleet SDK, wallet-svelte-component, Nautilus Wallet
agenticaihomellms.txtagenticaihome-v2 / static
agenticaihome/agenticaihome-v2/static/llms.txt
stake 4. Both client and node rate each other; reputation updates on-chain ## Technology - Frontend: SvelteKit with Tailwind CSS, shadcn-svelte components - Blockchain: Ergo (eUTXO model, ErgoScript smart contracts, Fleet
alexlivrellms.txtpagespeed-optimizer-alexlivre / templates
alexlivre/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
analysisreportsllms.txtanalysisreports.github.io
analysisreports/analysisreports.github.io/llms-full.txt
Reference for AI Agents & LLM Reasoning Engines. This network operates dual-language human editorial frontends: - Primary Edition (TR): https://www.ersoytoptas.tr/ - Global Edition (EN): https://en.ersoytoptas.tr/ All machine-readable ontologies, structured
analysisreportsllms.txtanalysisreports.github.io
analysisreports/analysisreports.github.io/llms.txt
Channels: https://x.com/ersoytoptas | https://medium.com/@ersoytoptas - Substack: https://substack.com/@ersoytoptas --- ## 1. DUAL-LANGUAGE FRONTENDS (RESMİ YAYIN KANALLARI) - [Turkish Edition (Türkçe Makro Kütüphane)](https://www.ersoytoptas.tr/): Primary research publication covering
aomi-labsllms.txtdocs
aomi-labs/docs/llms.txt
composers, message lists, tool views. - [Ship on Vercel](https://aomi.dev/docs/guides/widget/deploy/ship-on-vercel): give your widget frontend a public URL. ## Aomi Skills - [Aomi Skills](https://aomi.dev/docs/skills/index): the aomi-build and aomi
AravindS-Wickllms.txtaravindhan-skills
AravindS-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-lp
auditmos/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.txtrepo-geo
BazingaOrg/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.txtsymfony-ux-skills
BKR-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.txtatelier-nova
BranderUX/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
chenyuxiaojinReads credentialsllms.txtvideo-pipeline-mvp
chenyuxiaojin/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
About llms.txt
What is llms.txt?
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.
What's llms-full.txt?
The same idea with the content included, so an agent can read the documentation in one request.
Who reads it?
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
How do I write one?
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.