This is your comprehensive reference for building production Airflow pipelines, covering everything from basic DAG definitions to advanced patterns like dynamic task generation, conditional branching with BranchPythonOperator, and TaskGroups for organizing complex workflows. You'll find practical examples of task dependencies (the >> and << operators, chain and cross_downstream patterns), XCom for inter-task communication, and guidance on choosing executors from LocalExecutor for dev to KubernetesExecutor for production. The skill shines when you need to orchestrate multi-step ETL workflows with dependencies, but be aware that Airflow's learning curve is real. The DAG-as-code approach is powerful once you understand concepts like catchup behavior and scheduling intervals, but debugging can be frustrating until you're familiar with the execution model.
npx skills add https://github.com/manutej/luxor-claude-marketplace --skill apache-airflow-orchestration