runpod/runpod-plugins-official/runpod-usage

Claude Code and agent skill by runpod/runpod-plugins-official

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Explain Runpod architecture and design choices: Pods versus Serverless, GPU/VRAM, image construction, storage, networking, and workload development. For creating or improving a complete template project use runpod-build-template; execute infrastructure with runpodctl/runpod-mcp and code-first work with runpod-flash.

Install

npx vskill@latest install runpod/runpod-plugins-official/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), runpod-flash (your own code), or runpod-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:

QuestionRead
First-run setup / auth — get + set RUNPOD_API_KEY, SSH, companion credsreference/getting-started.md
Pods vs serverless, workers, cold starts, FlashBoot, queue vs load-balancedreference/concepts.md
The development loop for ANY workload (start here) — plan → prefer prebuilt → provision → verify → teardownreference/development-loop.md
Stand up / iterate a workload on a pod — the pod sub-loopreference/pod-workflows.md
Deploy / iterate a serverless endpoint — Hub vs flash vs custom, invoke + verifyreference/endpoint-workflows.md
Install software on a pod — package hygiene, uv, non-interactive, cachingreference/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) contractreference/building-images.md
Where data lives — container disk vs network volume, model caching, S3 accessreference/storage.md
Which GPU / how much VRAM / which CUDA version / cost & availability / data centersreference/gpu-selection.md
Why a stopped pod may not restart with a GPU — pods are bound to one machine; what else is per machinereference/pods-and-machines.md
Endpoint releases, rolling updates, version overlap, GitHub buildsreference/endpoint-builds-and-releases.md
Storing API tokens and keys as secrets and referencing them from env varsreference/secrets.md
Reaching a pod or endpoint over HTTP (proxy URLs, exposed ports)reference/networking.md
Common mistakes and how to avoid themreference/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.

bash
grep -il "volume disk" concepts/*.yaml # find the concept by name or alias
grep -n "statement:" concepts/pod-volume-disk.yaml
  • rules[].statement is the fact. see: points at related rules on other concepts.
  • A rule with conflict: true records two public sources that disagree. Give both readings.
  • A kind: process file explains a flow step by step. pod-deployment.yaml covers deploy,

stop and restart, including why a restart can fail while the data center has stock.

Security

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  • Model reviewPassed

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Source

Popularity

Repository stars
46
Repository forks
9
7-day trend score
24

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