Use when designing ML experiments, choosing evaluation metrics, tracking experiments, tuning hyperparameters, debugging training, ensuring reproducibility, or building ML pipelines. Covers W&B/MLflow
.claude/skills/ai-ml/ml-experiment-lifecycle/SKILL.md(main)