This is your go-to when you're building or debugging Apache Airflow pipelines and need someone who knows the difference between a sensor and an operator without checking the docs. It covers the TaskFlow API (the cleaner decorator-based approach), dynamic task generation with expand(), branching logic, and XCom patterns for passing data between tasks. The examples show real production patterns like retry configuration, trigger rules for complex dependencies, and proper DAG design. Worth having around if you're doing anything beyond basic scheduled jobs, especially when you're setting up parallel processing or dealing with conditional workflows. It assumes Airflow 2.8+ and focuses on modern best practices rather than legacy patterns.
npx skills add https://github.com/personamanagmentlayer/pcl --skill airflow-expert