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runpod-usage

de runpod

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.

Resumen

SKILL.mdLeída en d2a515b

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:

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 / cost & availability / data centersreference/gpu-selection.md
Reaching a pod or endpoint over HTTP (proxy URLs, exposed ports)reference/networking.md
Common mistakes and how to avoid themreference/gotchas.md

Archivos 15 archivos

y 3 archivos más en GitHub

Instálala a mano

Deska ejecuta esto por ti, para cada agente que elijas. Para ejecutarlo tú en una terminal:

npx skills add runpod/runpod-plugins-official --skill runpod-usage

Más de runpod

  • runpodctlrunpodRunpod CLI for managing GPU/CPU workloads from the terminal — pods, serverless endpoints, templates, network volumes, Hub deploys, models, SSH, and file transfer (send/receive). Use for terminal/CI/scripting, Hub browse/deploy, SSH setup, `doctor`, or when the Runpod MCP tools are not connected. For structured tool calls in an MCP-enabled session, prefer runpod-mcp.11 k instalaciones en skills.sh0
  • flashrunpodrunpod-flash — code-first serverless: write Python locally, run it on remote Runpod GPUs/CPUs with `flash dev` (hot-reload + live worker logs), then `flash deploy`. Use for @Endpoint/@remote functions, resource config, and debugging flash deployments. For CLI-only infra management use runpodctl or runpod-mcp.10.6 k instalaciones en skills.sh0
  • companion-clisrunpodCompanion CLIs for Runpod workflows — HuggingFace, GitHub, Docker, and AWS. Use the ComfyUI model-repair guide in runpod-templates instead when an imported ComfyUI workflow lacks model download metadata.10.2 k instalaciones en skills.sh0
  • runpodrunpodStart here for any Runpod task — running GPU/CPU pods, deploying serverless endpoints, templates, network volumes, building images, or understanding how Runpod works. Routes to the right skill (runpod-mcp, runpodctl, flash, companion-clis, runpod-usage, runpod-templates, runpod-migrate) and indexes two dozen live-verified end-to-end examples (golden paths) — use it when the lane is unclear, and for any multi-step or provisioning task even when it is not.9,300 instalaciones en skills.sh0
  • runpod-mcprunpodManage Runpod infrastructure — pods, serverless endpoints, jobs, templates, network volumes, container-registry auth, GPU/CPU catalog, and billing — via the Runpod MCP server's structured tool calls. Use when the Runpod MCP tools (create-pod, list-endpoints, …) are connected in this session, or to connect them (hosted OAuth or local npx). Prefer this over runpodctl for plain infra CRUD when MCP is available; use runpodctl for the terminal, file transfer, or SSH setup. Connection lane only — the server itself carries its tool surface and its own task playbooks, so read those rather than a list kept here.9,300 instalaciones en skills.sh0
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