back
loading skill details...
Use when running a dbt Fusion project with Astronomer Cosmos. Covers Cosmos 1.11+ configuration for Fusion on Snowflake/Databricks with ExecutionMode.LOCAL.…
Configure Astronomer Cosmos for dbt Fusion projects on Snowflake, Databricks, BigQuery, or Redshift with local execution. Requires Cosmos 1.11.0+, dbt Fusion binary installed separately in the Airflow runtime, and ExecutionMode.LOCAL with subprocess invocation Supports three parsing strategies: dbt_manifest (fastest for large projects), dbt_ls (for complex selectors), or automatic (simple setups) Covers ProfileConfig setup for warehouse connections, ProjectConfig for dbt project paths, and RenderConfig for parsing behavior Includes step-by-step checklist, Dockerfile installation example, and both DbtDag and DbtTaskGroup assembly patterns with validation steps Cosmos + dbt Fusion: Implementation Checklist Execute steps in order. This skill covers Fusion-specific constraints only. Version note: dbt Fusion support was introduced in Cosmos 1.11.0. Requires Cosmos ≥1.11. Reference: See reference/cosmos-config.md for ProfileConfig, operator_args, and Airflow 3 compatibility details. Before starting, confirm: (1) dbt engine = Fusion (not Core → use cosmos-dbt-core), (2) warehouse = Snowflake, Databricks, Bigquery and Redshift only. Fusion-Specific Constraints Constraint Details No async AIRFLOW_ASYNC not supported No virtualenv Fusion is a binary, not a Python package Warehouse support Snowflake, Databricks, Bigquery and Redshift support while in preview
don't have the plugin yet? install it then click "run inline in claude" again.