From runpod
Companion CLIs for Runpod workflows — HuggingFace, GitHub, Docker, and AWS.
How this skill is triggered — by the user, by Claude, or both
Slash command
/runpod:companion-clisThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Four CLIs commonly needed alongside Runpod. Each has its own **credentials + command reference** in [`reference/`](reference/) — plus a one-time `<cli>-setup.md` for install (only opened if the CLI isn't installed). Load only the one the task needs, not all four.
Four CLIs commonly needed alongside Runpod. Each has its own credentials + command reference in reference/ — plus a one-time <cli>-setup.md for install (only opened if the CLI isn't installed). Load only the one the task needs, not all four.
| CLI | Use it to | Full reference |
|---|---|---|
hf (HuggingFace) | Download models from the Hub to cache/bake into images | reference/huggingface.md |
gh (GitHub) | Manage worker repos + cut releases (Hub indexes releases) | reference/github.md |
docker | Build/validate/push images to Docker Hub for Runpod to pull | reference/docker.md |
aws (S3) | Read/write network-volume storage over Runpod's S3 API | reference/aws.md |
Each requires credentials before use. Read the per-tool reference for auth steps and commands; install is a separate one-time <cli>-setup.md.
If you are on Windows, install WSL2 before proceeding — it gives you the native Linux environment all these CLIs target. In PowerShell as Administrator, then restart:
wsl --install
Afterward open the Ubuntu app to finish setup, then follow the Linux instructions in each reference.
Download models locally so they're cached for a Docker build/run. Auth and hf download recipes: reference/huggingface.md (install: reference/huggingface-setup.md).
hf CLI, not pip install huggingface_hub (that's the older huggingface-cli with different syntax).hf auth login, or export HF_TOKEN=hf_... (env var wins over saved token).Manage worker repositories and cut releases. Auth and commands: reference/github.md (install + SSH-key setup: reference/github-setup.md).
gh release create.ssh-keygen -t ed25519) registers with both GitHub (gh ssh-key add) and HuggingFace (paste in browser).Build, validate, and push images to Docker Hub. Credentials and commands: reference/docker.md (install: reference/docker-setup.md).
--platform=linux/amd64 — Runpod runs on x86 Linux.latest — latest doesn't track the newest push, so workers can silently pull the wrong image.Access network-volume storage over Runpod's S3-compatible API (bucket name = network volume ID). Credentials, region rules, and commands: reference/aws.md (install: reference/aws-setup.md).
user_...), secret = S3 API key (rps_...).runpodctl/REST/GraphQL creates them — if they're not already in ~/.aws/credentials/env and S3 access is needed, stop and ask the user to generate them (Settings > S3 API Keys).--region DATACENTER --endpoint-url https://s3api-DATACENTER.runpod.io/ (datacenter = the volume's DC, not an AWS region).npx claudepluginhub runpod/runpod-plugins-official --plugin runpodRunpod 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.
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