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).
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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.
Category
π»Developer & DevOpsWhat RunPod pod management can do for your AI workflow
Runpod gpu cloud instances - directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,286+ 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 RunPod pod management
Help me get started with RunPod pod management
Explains what RunPod pod management does, walks through the setup, and runs a quick demo based on your current project
Use RunPod pod management to manage RunPod GPU cloud instances - create, start, stop, connect to...
Invokes RunPod pod management with the right parameters and returns the result directly in the conversation
What can I do with RunPod pod management in my developer & devops workflow?
Lists the top use cases for RunPod pod management, with example commands for each scenario
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RunPod pod management extends your AI assistant with the ability to 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). 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 RunPod pod management as its underlying capability.
RunPod pod management 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 RunPod pod management 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 RunPod pod management, copy the skill folder to `~/.claude/skills/runpod/` for use across all your projects, or `.claude/skills/runpod/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/runpod` or just describe your goal and the AI will pick it up automatically.
RunPod pod management has been installed 1,286 times, making it one of the more actively used skills in the Developer & DevOps 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/runpod/ for personal use (all projects), or .claude/skills/runpod/ for project-specific use. Restart your AI client, then invoke with /runpod or let the AI discover it automatically.
RunPod pod management supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
RunPod pod management is free to install. Check the repository for licensing information.
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).
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Platforms
Links
Automate my developer & devops tasks using RunPod pod management
Identifies repetitive steps in your workflow and sets up RunPod pod management to handle them automatically
RunPod pod management is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.