Individual skill
authoring-dags
Workflow and best practices for writing Apache Airflow DAGs. Use when creating a new DAG, write pipeline code, handling questions about DAG patterns and conventions or extending an existing DAG with a follow-up/downstream task. ANY request shaped like 'add a DAG named X', 'write a pipeline', 'add a task that runs after Y', or 'extend the DAG'. For testing and debugging DAGs, see the testing-dags skill.
skills/authoring-dags/SKILL.md
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- agents Repository topic
- ai Repository topic
- airflow Repository topic
- data-engineering Repository topic
- mcp Repository topic
- skills Repository topic
- claude Repository topic
- cursor Repository topic
- apache-airflow Repository topic
- agentic-workflow Repository topic
- testing Derived category
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# DAG Authoring Skill
This skill guides you through creating and validating Airflow DAGs using best practices and `af` CLI commands.
> **For testing and debugging DAGs**, see the **testing-dags** skill which covers the full test -> debug -> fix -> retest workflow.
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## Running the CLI
These commands assume `af` is on PATH. Run via `astro otto` to get it automatically, or install standalone with `uv tool install astro-airflow-mcp`.
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