Intelligent LLM proxy that routes requests to appropriate models based on complexity. Save money by using cheaper models for simple tasks. Tested with Anthropic, OpenAI, Gemini, Kimi/Moonshot, and Ollama.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install llmrouterOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install llmrouterβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/llmrouter/π‘Extract and place the folder at the path above, then restart your agent.
Category
πProduct ManagerPlatforms
What Llmrouter can do for your AI workflow
Intelligent llm proxy that directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,497+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Llmrouter
Help me get started with Llmrouter
Explains what Llmrouter does, walks through the setup, and runs a quick demo based on your current project
Use Llmrouter to intelligent LLM proxy that routes requests to appropriate models ba...
Invokes Llmrouter with the right parameters and returns the result directly in the conversation
What can I do with Llmrouter in my product manager workflow?
Lists the top use cases for Llmrouter, with example commands for each scenario
Guides & tutorials for AI skills
Llmrouter extends your AI assistant with the ability to intelligent LLM proxy that routes requests to appropriate models based on complexity. Save money by using cheaper models for simple tasks. Tested with Anthropic, OpenAI, Gemini, Kimi/Moonshot, and Ollama. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Llmrouter as its underlying capability.
Llmrouter works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Llmrouter once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Llmrouter, copy the skill folder to `~/.claude/skills/llmrouter/` for use across all your projects, or `.claude/skills/llmrouter/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/llmrouter` or just describe your goal and the AI will pick it up automatically.
Llmrouter has been installed 2,497 times, making it one of the more actively used skills in the Product Manager category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/llmrouter/ for personal use (all projects), or .claude/skills/llmrouter/ for project-specific use. Restart your AI client, then invoke with /llmrouter or let the AI discover it automatically.
Llmrouter supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Llmrouter is free to install. Check the repository for licensing information.
Intelligent LLM proxy that routes requests to appropriate models based on complexity. Save money by using cheaper models for simple tasks. Tested with Anthropic, OpenAI, Gemini, Kimi/Moonshot, and Ollama.
Links
Automate my product manager tasks using Llmrouter
Identifies repetitive steps in your workflow and sets up Llmrouter to handle them automatically
MCP vs traditional plugins: what's the difference?
Llmrouter is categorized under Product Manager. These skills help AI agents perform specialized tasks in this domain.