Skill

dbt-transformation-patterns

From antigravity-bundle-data-engineering

Provides production-ready dbt patterns for model organization into layers, testing strategies, documentation, incremental processing, and project structure.

dbt

SQL

data-engineering

npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-data-engineering

Popularity

Parent stars

37,904

Parent forks

6,202

Shared by

Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/antigravity-bundle-data-engineering:dbt-transformation-patterns

User invocable

Model invocable

Inline context

Default effort

Context Preview

The summary Claude sees in its skill listing — used to decide when to auto-load this skill

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

Supporting Files

resources/implementation-playbook.md

SKILL.md

43 lines · ~406 tokens

Similar Skills

dbt-transformation-patterns

38.0k

Provides production-ready dbt patterns for model organization into layers, testing strategies, documentation, incremental processing, and project structure.

1 file

antigravity-awesome-skills

dbt

Provides dbt patterns for building staging, intermediate, and marts data models, incremental materializations, schema tests, and transformation pipelines in analytics engineering.

devops-data

dbt-transformation-patterns

Provides production-ready patterns for dbt including model organization, testing, documentation, and incremental processing for analytics engineering.

superpowers

Stats

LanguagePython

Parent stars37,904

Parent forks6,202

MaintenanceExcellent

Last CommitMay 16, 2026

Actions

View Source View Plugin View on GitHub View README

Help us improve

Share bugs, ideas, or general feedback.

Stats

Actions

Help us improve

Share bugs, ideas, or general feedback.

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.

Limitations

Use this skill only when the task clearly matches the scope described above.

Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.