Build production Apache Airflow data pipelines
airflow-dag-patternsskillsetup L3★0
Sheshiyer/skill-clusters ↗What it does
Build Apache Airflow DAG workflows
Best for
Teams automating repetitive tasks while maintaining control over execution and output quality.
Inputs
- · Configuration
- · Input data
Outputs
- · Result
- · Status
Requires
- · Python runtime
- · Apache Airflow
Preconditions
- · External services configured
- · Input parameters validated
- · Required dependencies available
Failure modes
- · Service timeout or unavailable
- · Invalid input format
- · Resource exhaustion
- · Version incompatibility
Trust signals
- · Safety constraints explicitly defined
- · Clear execution flow documented
- · Test/validation patterns documented
- · Semantic versioning in use
- · Concrete examples provided