astronomer/agents

Use af commands to query, manage, and troubleshoot Airflow workflows.

Answer business questions by querying the data warehouse. The kernel auto-starts on first exec call.

This skill guides you through creating and validating Airflow DAGs using best practices and af CLI commands.

Source details, install context, and public review data are available on the full page.

Use af commands to test, debug, and fix DAGs in iterative cycles.

This skill helps migrate Airflow 2.x DAG code to Airflow 3.x , focusing on code changes (imports, operators, hooks, context, API usage).

Trace the origins of data - answer "Where does this data come from?"

Answer the critical question: "What breaks if I change this?"

Generate a comprehensive profile of a table that a new team member could use to understand the data.

Quickly determine if data is fresh enough to use.

This skill helps you manage your local Airflow environment using the Astro CLI.

This skill helps you initialize and configure Airflow projects using the Astro CLI.

This skill guides you through adding manual lineage annotations to Airflow tasks using inlets and outlets .

This skill guides you through creating custom OpenLineage extractors to capture lineage from Airflow operators that don't have built-in support.

Execute steps in order. Prefer the simplest configuration that meets the user's constraints.

Implement human approval gates, form inputs, and human-driven branching in Airflow DAGs using the HITL operators. These deferrable operators pause workflow execution until a human responds via the Airflow UI or REST API.

Execute steps in order. This skill covers Fusion-specific constraints only.

Generate a comprehensive, user-editable schema reference file for the data warehouse.

Generate a comprehensive, user-editable schema reference file for the data warehouse.