weights-and-biases

Quick Review

Excellent MLOps skill for Weights & Biases that provides comprehensive experiment tracking capabilities. The description clearly covers all major use cases (tracking, visualization, sweeps, model registry). Task knowledge is outstanding with complete code examples for basic tracking, PyTorch, sweeps, artifacts, and multiple framework integrations (HuggingFace, Lightning, Keras). The structure is well-organized with logical sections from quick start to advanced features, and appropriately references separate files for deep-dive topics. The skill is highly novel as it consolidates complex MLOps workflows that would otherwise require many API calls and significant token usage. A CLI agent would struggle to properly configure sweeps, manage artifacts with lineage, or integrate with multiple frameworks without this pre-built knowledge. Minor improvements could include more explicit CLI commands for common operations and edge case handling, but overall this is a production-ready, high-value skill.