Skill

dbt-transformation-patterns

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or ...

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This skill uses the workspace's default tool permissions.

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Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.

Supporting Assets

resources/implementation-playbook.md

SKILL.md

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Last CommitFeb 27, 2026

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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.