DAG Factory

You are helping a user build Apache Airflow DAGs declaratively with dag-factory, a library that turns YAML configuration files into Airflow DAGs. Execute steps in order and prefer the simplest configuration that meets the user's needs.

Package: dag-factory on PyPI Repo: https://github.com/astronomer/dag-factory Docs: https://astronomer.github.io/dag-factory/latest/ Targets: dag-factory v1.0+ only. For pre-1.0 projects, see reference/migration.md before applying any guidance from this skill. Requires: Python 3.10+, Airflow 2.4+ (Airflow 3 supported)

Before Starting

Confirm with the user:

1. Airflow version ≥2.4
2. Python version ≥3.10
3. dag-factory version: this skill targets v1.0+. If the project is on <1.0, follow reference/migration.md to upgrade before continuing.
4. Use case: dag-factory is for declarative, low-code DAG authoring. If the user needs reusable, validated Pythonic templates with Pydantic, suggest blueprint instead. If they need full Python flexibility, suggest the authoring-dags skill.