Apache Airflow helps you build and run complex workflows. You define tasks in Python code. Airflow schedules and monitors them for you. It is great for data pipelines and automated processes. Anyone who manages data can use it to save time and avoid errors.
With Airflow you create DAGs that show task dependencies. You can set up retries and alerts. The web interface lets you see each step. This makes your work reliable and easy to check.
Global
mkdir -p ~/.claude/skills/apache-airflow-orchestrationProject
mkdir -p .claude/skills/apache-airflow-orchestrationSource Repository
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