Use Case
Llmrouter isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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. This guide covers how to deploy Llmrouter for your team, standardize prompts, and create shared workflows that everyone can use.
Install Llmrouter in your project directory: .claude/skills/llmrouter/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Llmrouter in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Llmrouter
How can my team use Llmrouter together?
Set up Llmrouter for our project so everyone can use it
Create a shared workflow using Llmrouter for our team
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.