ml-pipeline

Quick Review

Excellent ML pipeline skill with comprehensive coverage of feature engineering, training orchestration, experiment tracking, and deployment workflows. The description clearly indicates when to invoke this skill, covering MLOps scenarios like feature stores, hyperparameter tuning, and model lifecycle automation. Structure is well-organized with a concise SKILL.md that references detailed guidance files for specific subtopics. Strong task knowledge with explicit constraints (MUST DO/MUST NOT), core workflows, and relevant technology stack. The skill addresses complex, token-intensive MLOps tasks that would be challenging for a CLI agent alone, providing systematic approaches to reproducibility, versioning, and orchestration. Minor room for improvement in making some triggers more specific to distinguish from general data engineering tasks.