skill-database-dbt

What problem does it solve?

Data teams often struggle with inconsistent dbt project structures, fragmented testing, and undocumented data lineage, leading to maintenance overhead and unreliable analytics.

Core Features & Use Cases

• Standardized project layout (models, seeds, snapshots, tests, docs) for scalable, maintainable dbt workflows.
• Built-in conventions for staging, intermediate, and marts to ensure consistent naming and lineage.
• Integrated testing and documentation coverage with CI readiness for robust deployment.

Quick Start

Create a new dbt project following the recommended layout and enable tests and docs generation.