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managed-airflow-dag-authoring

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About managed-airflow-dag-authoring

M

managed-airflow-dag-authoring

Provides guidance for authoring Apache Airflow DAGs in Managed Service

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.

View managed-airflow-dag-authoringAll AI Skills apps
Price
Free
Made by
google
Category
AI Skills
Website
github.com/google/skills/managed-airflow-dag-authoring