Agent skill · NVIDIA
tao-run-automl
Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm
What it needs
About 11k tokens when loaded.
What this skill does
TAO AutoML Standalone install? If this session was not initialized by the TAO skill bank plugin, run the tao-setup skill first (host preflight, credentials, cross-skill discovery). Run automated hyperparameter optimization for a TAO model by combining: 1. The selected model skill under skills/models/<modelskill>/. 2. The selected platform skill under skills/platform/<platform>/. 3. AutoMLRunner, which generates recommendations, launches selected action jobs, extracts metrics, and feeds results back to the optimizer. Do not launch until model metadata, platform preflight, data visibility, credentials, image choice, and compute shape are all proven. Execution Runtime — Hard Gate Every recommendation, baseline evaluation, per-recommendation evaluation, and final evaluation runs in the selected model action's resolved containerimage by default. Resolve it from the model skill before any training-environment setup. A local checkpoint or Hugging Face model ID does not change this rule. Use venv-based model action execution only when the user explicitly asks for venv execution. Never infer venv mode from local-docker, local GPUs, an installed Python stack, or the presence of pyproject.toml. If the execution mode is absent, it is container-backed. A host/controller venv installed for taoautoml, TAO SDK, or a platform adapter is control-plane-only; state this clearly and keep all child model actions in the resolved container image. Reference Map references/skillinfo.yaml: this workflow's structured metadata. Split detailed references: automl-preflight-concepts.md for prerequisites and support checks; automl-intent-algorithms.md for search policy; automl-compression-literature.md for distill/prune/quantize algorithm sufficiency and future compression-search roadmap; automl-runner-configuration.md for runner/API/WandB details; automl-advanced-monitoring.md for hooks, resume, and pitfalls; and automl-examples.md for conversation examples. detailed-guide.md is only the map. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/tao-run-automl