Agent Skills

runpod-usage

devopsrunpod8K installs

How Runpod works and how to work it — pods vs serverless, GPU/VRAM selection, storage, building a container, networking, plus the agentic pod development loop (provision → ssh-exec → set up → poll readiness) and on-pod install hygiene (uv/apt). Use to answer "how does X work", "which GPU", "how do I build a container", or "how do I stand up a workload on a pod". Guidance, not a tool — execute with runpodctl, runpod-mcp, or flash.

Install

npx skills add https://github.com/runpod/runpod-plugins-official --skill runpod-usage
SKILL.md

Runpod usage (concepts)

Background knowledge for making the right choice before you act. This skill runs nothing — once you know what to do, execute with runpod-mcp/runpodctl (infra), flash (your own code), or companion-clis (models/images/data).

This skill explains; the golden paths demonstrate. When the question is really "how do I do X" rather than "how does X work", the verified end-to-end example is the faster answer — runpod/golden-paths/README.md. Read the concept here, then follow the path.

Read the one reference file that matches the question:

Question Read
First-run setup / auth — get + set RUNPOD_API_KEY, SSH, companion creds reference/getting-started.md
Pods vs serverless, workers, cold starts, FlashBoot, queue vs load-balanced reference/concepts.md
The development loop for ANY workload (start here) — plan → prefer prebuilt → provision → verify → teardown reference/development-loop.md
Stand up / iterate a workload on a pod — the pod sub-loop reference/pod-workflows.md
Deploy / iterate a serverless endpoint — Hub vs flash vs custom, invoke + verify reference/endpoint-workflows.md
Install software on a pod — package hygiene, uv, non-interactive, caching reference/on-pod-setup.md
Build a Docker image Runpod can run (handler contract, Dockerfile, --platform=linux/amd64) reference/docker.md
How to build an image well — base image, layering, bake-in vs volume, pod vs serverless (queue/LB) contract reference/building-images.md
Where data lives — container disk vs network volume, model caching, S3 access reference/storage.md
Which GPU / how much VRAM / cost & availability / data centers reference/gpu-selection.md
Reaching a pod or endpoint over HTTP (proxy URLs, exposed ports) reference/networking.md
Common mistakes and how to avoid them reference/gotchas.md

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