managed-airflow-dag-authoring
Provides guidance for authoring Apache Airflow DAGs in Managed Service
by googleFree
Description
Managed Airflow DAG authoring is an agent skill for writing and validating Apache Airflow DAGs, the workflow definitions that Airflow runs, for Managed Service for Apache Airflow on Google Cloud. The service was formerly called Cloud Composer. Before it writes any DAG code, the skill requires context discovery, because the constraints of the target environment, such as its Airflow version, shape what code will run. It asks whether you have direct access to the target environment, whether you are working in a local development environment, or whether you are working offline and can only change local files without validating them. The skill then guides the authoring and, where access allows, the validation of the DAG against the environment. It is aimed at data engineers who maintain pipelines on the managed service and want DAG changes that match the version they run. It is published by Google on skills.sh under the google skills repository, with about 3.7K installs. The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.…
Highlights
- Authors Apache Airflow DAGs for Managed Service for Apache Airflow
- Discovers environment version and constraints first
- Handles direct, local and offline working modes
- Validates DAGs when access allows
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managed-airflow-dag-authoring FAQ
What is the service called now?
Managed Service for Apache Airflow, formerly Cloud Composer.
Why does the skill ask about the environment first?
The Airflow version and other constraints decide what DAG code will run, so the skill checks them before writing code.
Can I use it offline?
Yes, but the skill can only change local files and cannot validate them against the environment.
How do I install it?
Run npx skills add https://github.com/google/skills --skill managed-airflow-dag-authoring.
What are the best managed-airflow-dag-authoring alternatives?
Popular alternatives to managed-airflow-dag-authoring include managed-airflow-migrations, airflow-dag-patterns and agent-platform-deploy. See all managed-airflow-dag-authoring alternatives