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docs: rename CLI to runpodctl and update commands
1.4 KiB
1.4 KiB
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