Configure automated ML pipelines using Optuna or Ray Tune for hyperparameter optimization. Implement efficient search strategies (Hyperband, ASHA), define search spaces, and set up early stopping to find optimal model configurations with minimal manual tuning.
Install
npx skills add pjt222/agent-almanac --skill setup-automl-pipelinenpx skills add pjt222/agent-almanac --skill setup-automl-pipeline -a claude-code -gnpx skills add pjt222/agent-almanac --skill setup-automl-pipeline -a codex -ggemini skills install https://github.com/pjt222/agent-almanac.git --path i18n/caveman-lite/skills/setup-automl-pipelinegh skill install pjt222/agent-almanac setup-automl-pipelinegit clone --depth 1 https://github.com/pjt222/agent-almanac /tmp/pjt222__agent-almanac
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/pjt222__agent-almanac/i18n/caveman-lite/skills/setup-automl-pipeline ~/.claude/skills/setup-automl-pipeline # Claude Code
cp -R /tmp/pjt222__agent-almanac/i18n/caveman-lite/skills/setup-automl-pipeline ~/.agents/skills/setup-automl-pipeline # Codex, Cursor, Gemini CLI, Copilot, OpenCode