dbt Analytics Engineering

This skill empowers Claude to act as a seasoned analytics engineer, facilitating the development, modification, and debugging of dbt models with a focus on modularity and DRY principles. It provides a comprehensive framework for building scalable data pipelines, including automated data discovery, rigorous testing, and impact evaluation of changes. By integrating dbt-specific reference guides and best practices, it ensures that your analytics code is efficient, well-documented, and cost-effective while managing warehouse resources intelligently.

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