Skip to main content
The Runpod skills plugin teaches your coding agent how to run GPU workloads on Runpod. Once installed, you can ask your agent to create Pods, deploy Serverless endpoints, transfer files, or deploy your own code with Flash, all in natural language. A built-in router sends each request to the right skill, so you don’t need to know which tool applies. It works with Claude Code, Codex, Cursor, GitHub Copilot, Windsurf, Cline, and many other AI agents.

​
Quick start

Install the skills with a single command that works with every agent:
Next, install the Runpod CLI that the skills rely on (skip this if you already have it):
Then authenticate with your Runpod API key. The same key works for the CLI, Flash, and the bundled MCP server:
That’s it — restart your agent and get started.

​
Getting started

There are no commands to memorize: describe what you want, and the router picks the right skill (prompting you if something like an API key is still missing). Confirm it’s wired up by asking:
  • “List my Runpod endpoints”
If your endpoints come back, you’re set — see What you can do for more examples.

​
What’s included

The plugin installs a router and a set of focused skills: The plugin also includes a collection of worked, end-to-end reference tasks, such as deploying a Whisper endpoint or running a model on a Pod, that guide your agent through common workflows.

​
What you can do

Once installed, you can ask your agent to perform tasks like the following:

​
Native install options

The npx skills add command above works everywhere. If you’d rather install the plugin through your agent’s native marketplace, use the route for your agent below. Each route installs the same router and skills.

​
Claude Code

Add the marketplace, install the plugin, then reload:
Installing the plugin also wires up the hosted Runpod MCP server. To authenticate it, run /mcp, select runpod, and choose Sign in with Runpod.

​
Codex

Run codex /plugins, open the Runpod tab, and install (reload if prompted). If the Runpod MCP tools don’t appear, add the hosted server manually:

​
Gemini

Gemini can install the plugin natively through the bundled gemini-extension.json. Follow your client’s extension documentation to add it.

​
Connecting the MCP server on other agents

The hosted Runpod MCP server gives your agent structured control-plane tools for managing Pods, endpoints, and other resources. Claude Code sets it up automatically during a native install. On other agents, run the guided installer, which detects your agent and configures the connection:
The installer authenticates the MCP server for you. To reuse the API key you already set instead, pass it as a bearer header when you add the server. For example, in Claude Code:

​
Update and uninstall

To update the plugin to the latest version:
In Claude Code, run /reload-plugins after updating. To uninstall:
If a command reports a name mismatch, list what’s installed first with /plugin marketplace list (Claude Code), codex plugin marketplace list (Codex), or npx skills list (skills.sh), then use the name shown.

​
Learn more

Runpod skills repository

Source code and full skill definitions.

skills.sh

The skills platform with the full list of compatible AI agents.

Runpod CLI reference

Full runpodctl documentation.

MCP servers

Another way to integrate AI tools with Runpod.