Use Case
llmfit isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring. This guide covers how to deploy llmfit for your team, standardize prompts, and create shared workflows that everyone can use.
Install llmfit in your project directory: .claude/skills/llmfit/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use llmfit 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 llmfit
How can my team use llmfit together?
Set up llmfit for our project so everyone can use it
Create a shared workflow using llmfit for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install llmfitOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install llmfitβ 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/llmfit/π‘Extract and place the folder at the path above, then restart your agent.