Agent skills for AI coding tools

Manage GPU workloads on Runpod with coding agents like Claude Code and Cursor.

Agent skills make it easier for coding agents to use Runpod directly from your editor or terminal. Once installed, you can ask your agent to create Pods, deploy Serverless endpoints, manage templates, and more, all through natural language.

These skills work with Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, and 17+ other AI agents.

Installation

Install the Runpod skills package in your project:

npx skills add runpod/skills

Restart your agent after installation.

If you plan to use the runpodctl skill, you also need to install the Runpod CLI and run the setup command to configure your API key and SSH keys:

runpodctl doctor

Available skills

The Runpod skills package includes two skills:

Skill	Description
Flash	Build and deploy AI workloads using the runpod-flash SDK. Write code locally and deploy to remote GPUs/CPUs.
runpodctl	Manage GPU Pods, Serverless endpoints, templates, network volumes, and models through the Runpod CLI.

What you can do

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

Category	Example prompt
Create resources	”Create a Pod with an RTX 4090”
List resources	”List my Pods” or “Show my Serverless endpoints”
GPU availability	”What GPUs are available?”
Account info	”Show my account balance”
Deploy endpoints	”Deploy a Serverless endpoint using my template”
Manage Pods	”Stop my Pod” or “SSH into my Pod”
Deploy with Flash	”Deploy this function to a remote GPU with Flash”
Local development	”Start a local dev server with Flash”

Flash skill

The Flash skill lets your agent use the runpod-flash SDK to build and deploy functions to Runpod Serverless. Your agent can generate and deploy code like the following:

from runpod_flash import Endpoint, GpuGroup

@Endpoint(name="my-worker", gpu=GpuGroup.AMPERE_80, workers=5, dependencies=["torch"])
async def compute(data):
    import torch
    return {"sum": torch.tensor(data, device="cuda").sum().item()}

For more details on endpoint types and configuration, see Create endpoints with Flash.

runpodctl skill

The runpodctl skill gives your agent access to the full Runpod CLI for managing Pods, Serverless endpoints, templates, network volumes, and file transfers.

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.