Amey-Thakurllms.txtAI-SKILLS
Amey-Thakur/AI-SKILLS/docs/llms.txt
# AI Skills > Plug-and-play skills and prompts for every AI coding agent. Each
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 13Worked for most · soon
Amey-Thakurllms.txt
AsenaJsReads credentialsllms.txtWebsite
AsenaJs/Website/public/llms-full.txt
WebSockets, messaging and static or Bun-bundled HTML. It does not ship an opinionated frontend rendering layer. ## Related - [Get Started](/docs/get-started) - Build your first Asena application - [Dependency Injection](/docs/concepts/dependency-injection
AsenaJsllms.txtWebsite
AsenaJs/Website/public/llms.txt
Cron-based background jobs with @Schedule and CronRunner, powered by Bun's native cron - [Frontend Controller](https://asena.sh/raw/concepts/frontend-controller.md): Serve HTML pages with @FrontendController and @Page using Bun's native
heptauReads credentialsllms.txtpgarachne
heptau/pgarachne/docs/llms-full.txt
SPAs) or the Explorer tool directly. This architecture dramatically simplifies the stack: Database ↔ PgArachne ↔ Frontend / AI Agent. Endpoint structure: All database endpoints share a common prefix (default `db`, configurable
Pseudogiant-xrReads credentialsllms.txtPseudolife-MCP
Pseudogiant-xr/Pseudolife-MCP/llms-full.txt
# Pseudolife-MCP — full documentation > Persistent long-term memory for Claude Code, Codex, and other
sandraschillms.txtbumi-mcp
sandraschi/bumi-mcp/llms-full.txt
virtual-twin guidance, optional robot bridge. ## Ports | Service | Port | |---------|------| | Backend (FastAPI + MCP /mcp) | 10774 | | Frontend (Vite React) | 10775 | ## MCP Tools - `bumi_specs` — Hero robot specifications and capabilities - `bumi_links
sandraschiPipes a download into a shellllms.txtfilesystem-mcp
sandraschi/filesystem-mcp/llms-full.txt
# filesystem-mcp > **Complete guide to packaging and distributing MCP servers with MCPB** --- 📄 [MCPB_BUILDING_GUIDE.md](MCPB_BUILDING_GUIDE.md
sandraschiReads credentialsllms.txtfilesystem-mcp
sandraschi/filesystem-mcp/llms.txt
writes with per-path asyncio locks and automatic `.backup` files - Ports: backend 10742, webapp frontend 10743 (dev) - REST: /api/health, /api/status, /api/capabilities, /api/skills, /api/llm/discover, /api/llm/chat, /api/v1/diagnostics ## Docs - [Readme](README.md): Overview, quick
0spoonPipes a download into a shellllms.txtseamless
0spoon/seamless/docs/llms-full.txt
# Seamless > A local-first memory and coordination substrate for the fleet of coding agents
mrcbrbn5361Reads credentialsllms.txtSyncytiumMD
mrcbrbn5361/SyncytiumMD/llms-full.txt
Obsidian-style visual brain graph of their rules, tags, and ADRs without installing heavy frontend runtimes (e.g. Next.js, Electron, or Express). **Decision:** Implement an embedded Canvas-based force-directed graph
nifrajsReads credentialsllms.txtnifra
nifrajs/nifra/llms-full.txt
required for a backend-only app. `bun add @nifrajs/core` ### A server - no frontend required Chainable and fully type-inferred. This is a complete app: `@nifrajs/core` alone is a production backend
nifrajsReads credentialsllms.txtnifra
nifrajs/nifra/llms.txt
Google Fonts downloader (the next/font equivalent) plus CLS-safe @font-face + preload primitives. - [Nifra - Frontend gotchas](/docs/frontend-guidance): Version-scoped React, Preact, Solid, Vue, Svelte, and Nifra frontend gotchas exposed through
opencuePipes a download into a shellllms.txtcuecards
opencue/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.txtcuecards
opencue/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
sweenzorReads credentialsllms.txtroam-docs
sweenzor/roam-docs/public/llms-full.txt
encrypted graphs, offline graphs). - **Warning**: the backend can be a few changes behind the frontend while local changes are still syncing. - Return:: - Promise resolving to the query results - Example:: - ```javascript
sweenzorllms.txtroam-docs
sweenzor/roam-docs/public/llms.txt
/developer-documentation/data-model.md): Your graph is a DataScript database. - [Roam Alpha API](https://roamdocs.fyi/developer-documentation/roam-alpha-api.md): The frontend JS API (window.roamAlphaAPI): datalog q/pull, block & page CRUD, UI control, file storage - [Roam Depot/Extension
flavorgoodllms.txtSelective-Intelligence
flavorgood/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
KhaledSaeed18Reads credentialsllms.txtdotclaude / site
KhaledSaeed18/dotclaude/site/llms-full.txt
# dotclaude: every item in full > The complete text of every Claude Code skill, agent
littlebearappsllms.txtcontextdocs
littlebearapps/contextdocs/llms-full.txt
# ContextDocs — Full Documentation > Complete documentation content for LLM ingestion. Generated from llms.txt file references
LoomA8osAgentllms.txta8-loom-coordinator
LoomA8osAgent/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
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.