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Where and how GPU jobs run on this platform. One-to-three-sentence summary. Use when the user asks to "deploy on REPLACE-PLATFORM", "run on REPLACE-PLATFORM", or mentions the platform's distinctive concepts (e.g., resource shape, instance, node group).
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Docker conventions for running NVIDIA GPU container workloads — NGC authentication, --gpus flag, mount patterns, env-var passthrough, container inspection, data-root relocation for split-disk hosts, and common error modes. Use when another skill requires running an nvcr.io container or any docker run command on a GPU host. Trigger keywords — docker, docker run, nvcr.io, NGC, --gpus, nvidia-container-toolkit, container image, docker login, docker pull.
One-to-three-sentence description of what this data transformation does. Use when the user asks to "REPLACE-WITH-INTENT", or mentions REPLACE-WITH-DOMAIN-TERMS. Include literal trigger phrases the user is likely to say.
One-to-three-sentence description of what the model does and when to use it. Use when the user asks to "fine-tune REPLACE-WITH-NETWORK", "train REPLACE-WITH-NETWORK on REPLACE-WITH-DATA-TYPE", or mentions REPLACE-WITH-DOMAIN-TERMS. Include literal trigger phrases.
Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (Phase 0, 2→7: generate from an existing checkpoint). Use when the user asks to "fine-tune AnomalyGen", "generate anomaly images", "run PAIDF SDG", "evaluate SDG output quality", "run per-sample search", or run any part of the AnomalyGen pipeline, even if they only mention one phase.
One-to-three-sentence description of what the skill does and when to use it. Use when the user asks to "REPLACE-WITH-INTENT-1", "REPLACE-WITH-INTENT-2", or mentions REPLACE-WITH-DOMAIN-TERMS. Include literal trigger phrases the user is likely to say.
Top-level workflow orchestrator for <use case>. Runs an end-to-end pipeline of <N> stages: <stage 1> → <stage 2> → … → <stage N>. Use when the user asks to "REPLACE-WITH-INTENT-1", "REPLACE-WITH-INTENT-2", or mentions REPLACE-WITH-DOMAIN-TERMS. Include literal trigger phrases.
| name | REPLACE-WITH-PLATFORM-NAME |
| description | Where and how GPU jobs run on this platform. One-to-three-sentence summary. Use when the user asks to "deploy on REPLACE-PLATFORM", "run on REPLACE-PLATFORM", or mentions the platform's distinctive concepts (e.g., resource shape, instance, node group). |
| license | Apache-2.0 |
| compatibility | REPLACE — examples — `Requires the brev CLI and an active brev login.` or `Requires the tao-sdk Python package (pip install 'tao-sdk[<platform>]') plus <PLATFORM>_API_TOKEN.` |
| metadata | {"author":"REPLACE-WITH-AUTHOR-NAME","version":"0.1"} |
| allowed-tools | Read Bash |
Short summary of the platform's execution model. Instance-based or job-based? API-first or docker-first? Single-node or multi-node? Managed or self-hosted?
For generic docker conventions, defer to tao-skill-bank:tao-run-on-docker. This skill covers the platform-specific layering on top.
| Dependency | Purpose | Install |
|---|---|---|
<cli-name> | Submit jobs / manage resources | <install-command> |
| Method | When to use |
|---|---|
| API token (recommended) | Scripted / automated workflows |
| Browser login | Interactive development |
Env vars:
| Env var | Required | Purpose |
|---|---|---|
<PLATFORM>_API_TOKEN | Yes (or manual login) | API auth |
# 1. CLI installed
which <cli-name> || echo "MISSING: install from <url>"
# 2. Logged in
<cli-name> ls >/dev/null 2>&1 || echo "NOT LOGGED IN"
# 3. Platform-specific checks
<platform-cli> exec <target> -- docker run --gpus all --rm \
-e <env-vars> \
-v <host-path>:<container-path> \
nvcr.io/... \
<command>
from tao_sdk.<platform>_sdk import <Platform>SDK
sdk = <Platform>SDK()
job = sdk.create_job(...)
See tao-skill-bank:tao-run-platform for SDK semantics.
| Symptom | Cause | Fix |
|---|---|---|
<error> | ... | ... |