Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
8.1
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Excellent Airflow skill with comprehensive DAG patterns covering TaskFlow API, dynamic generation, branching, sensors, error handling, and testing. The description clearly conveys when to use the skill. Task knowledge is extensive with production-ready code examples for common scenarios. Structure is logical with quick start, patterns, best practices, and clear tables. Novelty is solid—while Airflow documentation exists, consolidating best practices, multiple patterns, and testing approaches into one skill saves significant token usage and reduces the need for an agent to search across scattered resources. Minor improvement could include more explicit references to external files for very large skills, but current single-file approach works well given the scope.
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