dbt-transformation-patterns

# dbt Transformation Patterns Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing. ## Use this skill when - Building data transformation pipelines with dbt - Organizing models into staging, intermediate, and marts layers - Implementing data quality tests and documentation - Creating incremental models for large datasets - Setting up dbt project structure and conventions ## Do not use this skill when - The project is not using dbt or a warehouse-backed workflow - You only need ad-hoc SQL queries - There is no access to source data or schemas ## Instructions - Define model layers, naming, and ownership. - Implement tests, documentation, and freshness checks. - Choose materializations and incremental strategies. - Optimize runs with selectors and CI workflows. - If detailed patterns are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed dbt patterns and examples.