How real projects summarise themselves for language models.
Speraxllms.txtSperax/sperax-skills/llms-full.txt
track ## Phishing Detection ### Common Phishing Vectors | Vector | How It Works | Prevention | |--------|-------------|-----------| | Fake DEX frontend | Clones real UI, sends funds to attacker | Bookmark real URLs | | Fake airdrop claim | "Claim your tokens
veggiemonkllms.txtveggiemonk/backlog/docs/llms.txt
generate and export monthly performance reports in PDF format." \ -a "drew" \ -l "feature,frontend,backend" \ --priority "high" \ --ac "Report generation logic is accurate." \ --ac "Users can select a date range
Amey-Thakurllms.txtAmey-Thakur/AI-SKILLS/docs/llms.txt
# AI Skills > Plug-and-play skills and prompts for every AI coding agent. Each
bablsoftllms.txtbablsoft/accessflow/website/llms.txt
payloads, WebSocket events - [Backend](https://raw.githubusercontent.com/bablsoft/accessflow/main/docs/05-backend.md): Modular backend, proxy engine, workflow state machine - [Frontend](https://raw.githubusercontent.com/bablsoft/accessflow/main/docs/06-frontend.md): React/Vite layout, SQL editor, TanStack & Zustand - [Security](https://raw.githubusercontent.com/bablsoft/accessflow/main/docs/07-security.md): JWT, SAML
littlebearappsllms.txtlittlebearapps/contextdocs/llms-full.txt
# ContextDocs — Full Documentation > Complete documentation content for LLM ingestion. Generated from llms.txt file references
LoomA8osAgentllms.txtLoomA8osAgent/a8-loom-coordinator/llms.txt
coordinator) as the autonomous senior engineer on a > software project — any language, any framework, frontend or backend. Its enforced > idea: **discover-then-reuse** — retrieve what the codebase already provides
opencuellms.txtopencue/cuecards/docs/llms-full.txt
materialized runtime contains only that profile's resources. Marketing work doesn't see frontend MCPs; backend doesn't see design skills. == INSTALL == Primary: npm install -g cue-ai One-line
opencuellms.txtopencue/cuecards/llms.txt
background process. - Profiles inherit from a `core` baseline. 194 profiles ship by default (backend, frontend, marketing, cybersecurity, medusa-dev, …). - Ten agents supported via `cue materialize `: claude, codex, cursor, cline, gemini
sandraschillms.txtsandraschi/mixx-dj-mcp/llms.txt
pack . dist/mixx-dj-mcp.mcpb # Build MCPB bundle ``` ## Ports | Port | Service | |------|---------| | 11116 | Backend (FastMCP HTTP + REST) | | 11117 | Frontend (Vite dev server) | | 11118 | Mixxx OSC output (feedback from Mixxx) | | 11119 | Mixxx OSC input (commands
infotradescoutllms.txtinfotradescout/Selective-Intelligence/docs/llms-full.txt
Features that exist in code but do not work for users Trace routes, navigation, frontend, backend, data, permissions, flags, and deployment instead of treating a file as a finished feature
Iron-Markllms.txtIron-Mark/Iron-Mark/llms.txt
first emergency UX (ResQLink)](https://www.marksiazon.dev/writing/offline-first-ux): designing for zero connectivity ## Social and community - [Frontend Mentor](https://www.frontendmentor.io/profile/Iron-Mark): front-end challenge profile - [TikTok](https://www.tiktok.com/@iron_markk): short-form build
Iron-Markllms.txtIron-Mark/Iron-Mark/public/llms-full.txt
verification dates, prefer https://www.marksiazon.dev/llms-full.txt. ## Social and community - LinkedIn: https://www.linkedin.com/in/mark-siazon/ - Frontend Mentor: https://www.frontendmentor.io/profile/Iron-Mark - TikTok: https://www.tiktok.com/@iron_markk ## What is Mark Siazon open to? **Key takeaway
isatimurllms.txtisatimur/presentation-md/web/llms.txt
prompt decks: `scaffold_deck` → `studio_share_url`. Honest compare: https://presentation-md.vercel.app/vs/hallmark - **vs. frontend-slides:** Same discovery energy (3 live theme previews); plus schema-validated Deck JSON, 75 structured proofs
nodaroaillms.txtnodaroai/app.nodaro.ai/docs/llms.txt
step DAGs that run autonomously on a server. Nodaro is a Fastify backend + Vite/React frontend, source-available under the [Nodaro Sustainable Use License](https://github.com/nodaroai/app.nodaro.ai/blob/main/LICENSE). The backend is REST
parousia8888llms.txtparousia8888/web-app-security-skill/llms.txt
SKILL.md` name field. ## What the skill does - Runs a phased security program: scope gate, frontend exposure, API security, LLM security and federated identity, server-side code audit, database isolation, supply
qmmughalllms.txtqmmughal/AgentWire/llms.txt
data leakage. ## Architecture - Backend: ASP.NET Core 10, .NET Aspire - Database: PostgreSQL, ClickHouse, Redis - Frontend: Next.js, React, Tailwind CSS - Infrastructure: Docker, Kubernetes ## Key Features - 100% Open Source (Apache 2.0) with zero
sandraschillms.txtsandraschi/bookmarks-mcp/llms-full.txt
default, the web dashboard runs on port **10802**. *(Assigned ports: **10802** (Web dashboard frontend), **10803** (Web dashboard backend))* To start the webapp: 1. Navigate to the `webapp` (or `web`, `frontend
theyoungastronautsllms.txttheyoungastronauts/polaris/llms.txt
uninstall, hooks, status, validate, list-profiles, list-skills) context-pull.sh Extracts Django backend context for frontend sessions skills/ Native Agent Skills — one dir per skill: skills/ /SKILL.md. Frontmatter sets behavior: auto
vnykmshrllms.txtvnykmshr/playbook/llms.txt
github.com/vnykmshr/playbook/blob/main/commands/planning/pb-patterns.md): pattern family hub -- async, core, database, distributed, resilience, security, cloud, deployment, frontend, API - [pb-huddle](https://github.com/vnykmshr/playbook/blob/main/commands/core/pb-huddle.md): multi-perspective decision session ## Review and quality - [pb-security
Ayithamsetty-Vamsi-krishnallms.txtAyithamsetty-Vamsi-krishna/claude-skills/llms.txt
saas-dev-execute**: Fresh subagent per task + specialist skill + design file. Two-stage review. ## Frontend UI Skills - **saas-dev-ui-react**: Premium React + Next.js UI. Glassmorphism, aurora, neumorphism, bento grid
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.
