Runpod's official prebuilt pod templates (ComfyUI, PyTorch, and others): what each image ships, which ports and paths it uses, how to pick one, how to pin a version, and what is missing on first boot. Use when a task says "run <X> on a pod" and an official template already covers it, instead of building an image — and when a user needs help with or wants to fix something about a Runpod template they are already running (won't boot, can't reach the UI, missing models, wrong CUDA line, broken Comf
Install
npx skills add https://github.com/runpod/runpod-plugins-official --skill runpod-templatesOfficial Runpod templates
Prefer an official template over building an image. Runpod maintains prebuilt images for common workloads; deploying one is a create + poll, with no SSH install step. This skill is the reference for what those images actually are. It does not manage infrastructure — deploy with runpod-mcp (if connected) or runpodctl.
Terms — "template" vs the Hub
Two different products share the word "Hub", and conflating them derails discovery:
| Term | What it is | Runs as | Discover with |
|---|---|---|---|
| Pod template (this skill) | A saved pod config — image + ports + disk + env. The official ones appear on Console Hub template pages (console.runpod.io/hub/template/<id>) |
a pod | runpodctl template list --type official / template search · REST GET /v2/catalog/templates |
| Hub repo / listing | A packaged serverless worker (e.g. runpod-workers/worker-comfyui) with a handler, deployed as an endpoint |
serverless | runpodctl hub list / hub search · MCP list-hub-repos / deploy-hub-repo |
Same word, disjoint catalogs: hub search comfyui returns only the serverless worker
and none of the official ComfyUI pod templates, and template search returns no
Hub repos. In the REST v2 catalog, pod vs serverless templates are told apart by each
entry's serverless flag.
What "official" means, and how to find them
A template is Runpod-maintained when it reports isRunpod: true. Anything else in search
results is community-published: usable, but not covered by this skill and not
version-guaranteed.
runpodctl template list --type official # the whole official set (14 as of 2026-08-25)
runpodctl template search <name> # by name; check isRunpod: true
runpodctl template get <template-id> # image, ports, portsConfig, disk + full readme
template get returns the template's readme — the description maintained alongside
the image, and the authoritative answer when it disagrees with this skill. Take image
tags, ports, and env from these commands, not from these files: the templates ship on
their own release train and move faster than this repo. The reference files record the
shape and the gotchas, which is the expensive part to rediscover.
⚠️ runpodctl hub ... is not how you find pod templates — see Terms.
To hand a user a Console link, use https://console.runpod.io/hub/template/<template-id>.
REST v2 has no template search — only slices you filter yourself
REST v2 has no query/search parameter for templates, so every "search" is a client-side filter over a fetched slice:
| Endpoint | Params | Returns |
|---|---|---|
GET /v2/catalog/templates |
source=official|verified|community (default official) |
the public catalog slice |
GET /v2/templates |
none | only templates you own |
GET /v2/templates/{id} |
— | one template, owned or catalog |
official (14) and verified (3) are fully enumerable; community is capped at 100
with pagination explicitly unsupported. A community template past that cap never
enters a slice the API can return, and runpodctl template search reads those same
server-side slices — so it has no view past the cap either. If a user names one you
cannot find, ask them for the template id rather than concluding it does not exist.
isRunpod is a GraphQL/v1 field with no v2 equivalent — in v2, "official" is the
source slice you requested, not a flag on the record.
Catalog entries carry allowedCudaVersions, which is the reliable way to pick between
CUDA-line variants of the same template — pair it with runpodctl pod create --min-cuda-version instead of inferring from the GPU name.
The templates
| Workload | Reference | Deploy walkthrough |
|---|---|---|
| ComfyUI — image generation UI at a URL | reference/comfyui.md |
golden path 02, variant B |
| PyTorch — general GPU base / dev box (2.1 → 2.9, incl. cluster + ROCm builds) | reference/pytorch.md |
golden path 06 |
| Ubuntu — bare 20.04 / 22.04 / 24.04 (CPU category) | TODO | — |
| Network storage file browser (GPU + CPU) | TODO | golden path 07 |
Add a template by adding one file here and one row above. Do not create a new skill per template — the task shape is identical and every registered skill costs context in every session.
How to use a template reference
Each file under reference/ answers the same questions in the same order, so an agent
can skim to the one it needs:
- Identity — template name, id, image, upstream source repo.
- Variants — CUDA/arch/GPU-generation splits and which to pick.
- Ports and credentials — what is exposed and any default login.
- Autostart — what is already running on boot, with the exact command.
- Paths — where the app, its config, and its data live (and what a network volume mount changes).
- Readiness — how long first boot takes and the exact signal for "actually
serving".
Runningis never the signal. - What does not ship — the gap between "booted" and "usable", and how to close it programmatically rather than by clicking.
- Sizing — container disk and minimum VRAM.
- Version pinning — how to hold a known-good version.
One file is the exception: reference/comfyui-model-repair.md
is a usage guide — a ComfyUI workflow repair procedure that drives the scripts in
scripts/ — not a 9-question template reference.
Routing onward — this skill is the hub, not the destination
A user asking about a template rarely wants the reference file itself; they want a template deployed, fixed, or replaced. Land here, identify which, and hand off:
| The user wants to… | Send them to |
|---|---|
| Deploy a template end to end | the matching golden path in the table above (index) — live-verified runs with real commands |
| Fix a pod that won't serve ("Running" but URL dead, 404/502) | the template's reference file, §Readiness — then runpod-usage/reference/gotchas.md |
| Fix a ComfyUI workflow whose models won't download (missing/broken model metadata, imported workflow or PNG) | the repair guide — it drives the repair scripts in scripts/. The official ComfyUI templates ship ComfyUI-RunpodDirect, so its automatic-download path applies |
| Add models / files to a running template pod | the template's reference file (§What does not ship), or companion-clis for generic Hugging Face transfers |
| Customize beyond what the template ships (pinned versions, extra nodes, lighter image) | runpod-usage/reference/building-images.md — build FROM the official base |
| A serverless worker, not a pod | not a pod template — Hub workers via runpodctl / runpod-mcp |
Reference files here answer what is in the image; they never duplicate a walkthrough or a repair procedure — they point at the owner.