dbt-transformation-patterns

This skill provides production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing. It helps you build robust and maintainable data transformation pipelines with dbt.

Use this skill to organize models into staging, intermediate, and marts layers, implement data quality tests and documentation, create incremental models for large datasets, and set up dbt project structure and conventions. It guides you through defining model layers, naming, and ownership, as well as optimizing runs with selectors and CI workflows.

For detailed patterns and examples, the skill provides access to an implementation playbook, offering in-depth guidance on dbt best practices.

What It Does

Provides dbt best practices and patterns for building data transformation pipelines, including model organization, testing, documentation, and incremental processing.

When To Use

When building data transformation pipelines with dbt, organizing models, implementing data quality tests, creating incremental models, or setting up dbt project structure.

Installation

Copy SKILL.md to your skills directory