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Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.\n---\n\n# Apache Airflow DAG Patterns\n\nProduction-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.\n\n## Use this skill when\n\n- Creating data pipeline orchestration with Airflow\n- Designing DAG structures and dependencies\n- Implementing custom operators and sensors\n- Testing Airflow DAGs locally\n- Setting up Airflow in production\n- Debugging failed DAG runs\n\n## Do not use this skill when\n\n- You only need a simple cron job or shell script\n- Airflow is not part of the tooling stack\n- The task is unrelated to workflow orchestration\n\n## Instructions\n\n1. Identify data sources, schedules, and dependencies.\n2. Design idempotent tasks with clear ownership and retries.\n3. Implement DAGs with observability and alerting hooks.\n4. 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