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