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Design small, maintainable Airflow DAGs with clear task boundaries, retry policy, and runtime assumptions.
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Baseado na classificação ocupacional SOC
Apply layer-specific quality checklists for Python ETL, Airflow DAGs, dbt models, SQL, FastAPI, Vue.js, and Docker Compose changes in the HH data platform.
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Apply asyncio patterns for concurrent IO, background work, and coordinated refresh flows in Python analytics services.
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| name | airflow-dag-design |
| description | Design small, maintainable Airflow DAGs with clear task boundaries, retry policy, and runtime assumptions. |
| license | MIT |
| compatibility | opencode |
| metadata | {"audience":"data-engineers","domain":"orchestration"} |
src/ and DAG wiring in dags/.