Monitor and analyze Weights & Biases training runs. Use when checking training status, detecting failures, analyzing loss curves, comparing runs, or monitoring experiments. Triggers on "wandb", "training runs", "how's training", "did my run finish", "any failures", "check experiments", "loss curve", "gradient norm", "compare runs".
Initial release of wandb-monitor skill. - Monitor and analyze Weights & Biases (W&B) training runs for health, progress, and failures. - Scripts included for full run characterization, live health summary of active jobs, and side-by-side run comparison. - Automatic handling of common metric key variations for loss, gradients, steps, and evals. - Provides clear thresholds for health alerts: exploding/vanishing gradients, stalled runs, and more. - Integration tips and Python API reference for advanced usage and automation.