What problem does it solve?
This Skill eliminates the guesswork of initializing and configuring an Astro-based Airflow project by providing a repeatable structure, dependency setup, and connection configuration so you can start building DAGs quickly.
Core Features & Use Cases
- Project Initialization: Create the Astro/Airflow folder layout (dags, include, plugins, tests) plus required runtime files and settings.
- Dependency Management: Add required Python and OS packages and customize the Docker image when you need private libraries or special system tooling.
- Connections & Variables Configuration: Define Airflow connections, variables, and pools in airflow_settings.yaml and optionally export/import them between environments.
- Validation Before Execution: Use DAG parsing to catch errors early without starting the full environment.
Use case: You need a new Airflow project scaffold that connects to Postgres, loads environment-specific variables, and includes Snowflake provider support, while ensuring the first DAGs are parseable before you spin up the local stack.
Quick Start
Ask the assistant to initialize a new Astro/Airflow project and generate a working airflow_settings.yaml with your Postgres connection and required pools.
