Guides the implementation of medallion architecture and production-grade project organization within dbt.
This skill transforms Claude into an expert dbt architect, providing comprehensive guidance on implementing the medallion architecture (bronze, silver, and gold layers) for data modeling. It offers standardized naming conventions, folder structures, and configuration strategies that ensure data integrity and scalability across the data pipeline. Whether you are planning a new project from scratch or refactoring an existing one, this resource helps enforce industry best practices like one-to-one staging, proper layer separation, and efficient materialization strategies to build reliable, production-ready data products.
Key Features
0123 GitHub stars
02Production-grade folder organization and structural guidance
03Folder-level configuration strategies for dbt_project.yml to reduce repetition
04Medallion architecture implementation patterns for bronze, silver, and gold layers
05Standardized naming conventions for models (stg, int, dim, fct) and columns
06Best practices for model dependencies, materialization, and tag inheritance
Use Cases
01Refactoring existing transformations into distinct architectural layers for better maintainability
02Planning the initial folder structure and organization for a new production dbt project
03Establishing consistent naming conventions for models and columns across a data team
