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Dbt Transformation Patterns

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wshobson·vlatest·data·MIT

Identifies potential dbt transformation improvements like model duplication, unused columns, and inefficient logic.

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Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill dbt-transformation-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

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Live repository

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Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

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    Scanned wshobson/agents at 46891e7e60.

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Commit
46891e7e60
Manifest
plugins/data-engineering/skills/dbt-transformation-patterns/SKILL.md
Scanned
2 files, 537 lines
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About this skill

What it does

This skill provides a collection of transformation patterns for use with dbt (data build tool), enabling users to clean, transform, and model data efficiently. It includes reusable SQL templates and best practices for common ETL tasks such as filtering, joining, aggregating, and deduplicating datasets.

When to use it

  • When building complex data pipelines that require standardized transformation logic
  • To streamline the development of dbt models by reusing proven patterns
  • When working with large or messy datasets that need consistent cleaning and structuring
  • For teams looking to enforce best practices in their dbt projects

Key capabilities

  • Reusable SQL templates for common transformations
  • Best practices for data modeling and ETL workflows
  • Support for filtering, joining, aggregating, and deduplicating data
  • Compatibility with dbt’s modular architecture

Example prompts

  • "Create a dbt model to filter out null values from the user table."
  • "Generate a SQL template for joining customer and order tables in dbt."
  • "Provide a pattern for aggregating daily sales data using dbt."

Tips & gotchas

  • Ensure your dbt project is properly configured before applying these patterns.
  • Some templates may require adjustments to match specific database schemas or dialects.