Use Case
RunPod pod management isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Manage RunPod GPU cloud instances - create, start, stop, connect to pods via SSH and API. Use when working with RunPod infrastructure, GPU instances, or need SSH access to remote GPU machines. Handles pod lifecycle, SSH proxy connections, filesystem mounting, and API queries. Requires runpodctl (brew install runpod/runpodctl/runpodctl). This guide covers how to deploy RunPod pod management for your team, standardize prompts, and create shared workflows that everyone can use.
Install RunPod pod management in your project directory: .claude/skills/runpod/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use RunPod pod management 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 RunPod pod management
How can my team use RunPod pod management together?
Set up RunPod pod management for our project so everyone can use it
Create a shared workflow using RunPod pod management for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install runpodOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install runpodβ 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/runpod/π‘Extract and place the folder at the path above, then restart your agent.