Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm selection (bayesian, hyperband, asha, bohb, llm, hybrid, autoresearch), WandB experiment tracking, job execution on any TAO SDK platform, result interpretation, and per-rec custom evaluation hooks.
Install
npx skills add NVIDIA/skills --skill tao-run-automlnpx skills add NVIDIA/skills --skill tao-run-automl -a claude-code -gnpx skills add NVIDIA/skills --skill tao-run-automl -a codex -ggemini skills install https://github.com/NVIDIA/skills.git --path skills/tao-run-automlgh skill install NVIDIA/skills tao-run-automlgit clone --depth 1 https://github.com/NVIDIA/skills /tmp/NVIDIA__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/NVIDIA__skills/skills/tao-run-automl ~/.claude/skills/tao-run-automl # Claude Code
cp -R /tmp/NVIDIA__skills/skills/tao-run-automl ~/.agents/skills/tao-run-automl # Codex, Cursor, Gemini CLI, Copilot, OpenCode