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.
Install
git clone https://github.com/astronomer/agents /tmp/agents && ln -s /tmp/agents/skills/authoring-dags ~/.claude/skills/authoring-dagsFrom README
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. --- Running the CLI These commands assume af is on PATH. Run via astro otto to get it automatically, or standalone with uv tool astro-airflow-mcp. --- Workflow Overview --- Phase 1: Discover Before writing code, understand the context.
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