Write Airflow DAGs that fit your managed environment.
What it does
Guides the creation and validation of DAG code suited to a managed Apache Airflow environment.
When to use it
Use when creating or extending an Airflow DAG, not for unrelated Python code.
How to use it
It changes how the agent authors and validates Airflow DAG code for the target managed environment.
What you provide
- An existing project
Uses
MS
CL
Latest review
What you need · 1
Directs the agent to this skill when adjusting code for a specific Airflow version; whether it must be installed to complete the workflow is unstated.
Access · 3
This skill
GCS
Write
Uploads DAG code to GCS
Managed Service for Apache Airflow
Read
Checks the managed Airflow environment
Cloud Logging
Read
Checks Airflow scheduler error logs