dbt-develop

To scaffold dbt models across staging, intermediate, and mart layers, this skill automates project structure generation and enforces medallion architecture patterns. It creates the necessary directories and base configurations to organize your data transformations.

Generating YAML configs for dbt sources and schemas is handled automatically by scaffolding sources.yml and schema.yml files. The skill applies established layer patterns to populate configurations, reducing manual entry and enforcing project best practices.

Yes, you can reorganize existing dbt projects into a medallion architecture. The skill supports building or restructuring SQL models across staging, intermediate, and marts while applying enforced workflows for plan, discover, write, and validate stages.

Yes, altimate-dbt powers the underlying orchestration and validation workflows for dbt model development. It enforces reproducible workflows, error handling, and best practices when launching or validating your generated dbt project structures.

You should use medallion architecture patterns when building multi-layer dbt projects that require clear separation of staging, intermediate, and marts. This approach enforces best practices for data quality, traceability, and reproducible transformation workflows.