Runpod Agent Skills

Skills for AI agents to manage GPU workloads on Runpod.

Available Skills

flash

Complete knowledge of the runpod-flash framework - SDK, CLI, architecture, deployment, and codebase. Use when working with runpod-flash code, writing @remote functions, configuring resources, debugging deployments, or understanding the framework internals.

runpodctl

Manage GPU pods, serverless endpoints, templates, volumes, and models.

Installation

npx skills add runpod/skills

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

Setup

runpodctl doctor

Usage

Ask your AI agent:

• "Create a pod with an RTX 4090"
• "List my pods"
• "What GPUs are available?"
• "Show my account balance"
• "Deploy a serverless endpoint"

URLs

Pod URLs

Access exposed ports on your pod:

https://<pod-id>-<port>.proxy.runpod.net

Example: https://abc123xyz-8888.proxy.runpod.net

Serverless URLs

https://api.runpod.ai/v2/<endpoint-id>/run        # Async request
https://api.runpod.ai/v2/<endpoint-id>/runsync    # Sync request
https://api.runpod.ai/v2/<endpoint-id>/health     # Health check
https://api.runpod.ai/v2/<endpoint-id>/status/<job-id>  # Job status

Structure

flash/
└── SKILL.md
runpodctl/
└── SKILL.md

License

Apache-2.0