사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/runpod/runpod-plugins-official --skill runpod-usage시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
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.
To author files for a custom template, use runpod-build-template; this lane supplies the shared concepts, not a competing packaging workflow.
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 / which CUDA version / cost & availability / data centers | reference/gpu-selection.md |
| Why a stopped pod may not restart with a GPU — pods are bound to one machine; what else is per machine | reference/pods-and-machines.md |
| Endpoint releases, rolling updates, version overlap, GitHub builds | reference/endpoint-builds-and-releases.md |
| Storing API tokens and keys as secrets and referencing them from env vars | reference/secrets.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 |
Exact facts: the concept files
The reference files explain. For a precise fact, or a rule an action must satisfy, read the concept files in concepts/ next to this file. There is one YAML file per concept (pod.yaml, network-volume.yaml, machine.yaml, …), each with its fields, states, relations and rules, and every rule cites the public source it comes from.
grep -il "volume disk" concepts/*.yaml # find the concept by name or alias
grep -n "statement:" concepts/pod-volume-disk.yamlrules[].statementis the fact.see:points at related rules on other concepts.- A rule with
conflict: truerecords two public sources that disagree. Give both readings. - A
kind: processfile explains a flow step by step.pod-deployment.yamlcovers deploy,
stop and restart, including why a restart can fail while the data center has stock.
