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Generate Airflow DAGs from pipeline specifications using project templates.
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Manage Azure cloud resources -- resource groups, storage, databases, functions, and data services using the az CLI.
Work with Databricks -- run SQL via curl, manage clusters, warehouses, Unity Catalog, jobs, and pipelines.
Query and manage Google BigQuery datasets -- run SQL, list tables, inspect schemas, load data, and manage partitioning.
Query and manage PostgreSQL databases -- run SQL, inspect schemas, manage tables, and perform database administration.
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Build and manage Dagster data pipelines -- create assets, jobs, schedules, sensors, and resources.
| name | airflow-dag-gen |
| description | Generate Airflow DAGs from pipeline specifications using project templates. |
| metadata | {"openclaw":{"always":true}} |
You generate Airflow DAGs following the project's conventions and templates.
templates/airflow/dag_basic.py.j2 -- generic task DAGtemplates/airflow/dag_dbt_run.py.j2 -- dbt run/test pipelinetemplates/airflow/dag_elt.py.j2 -- extract-load-transform patterndags/ directory.dag_<source>_to_<destination>.py for ELT pipelinesdag_dbt_<project>.py for dbt pipelinesdag_<domain>_<action>.py for domain-specific DAGs