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This skill transforms Claude into a specialized data analyst for dbt projects. It utilizes a sophisticated four-tier hierarchy to resolve natural language questions: first attempting to query the dbt Semantic Layer, then modifying compiled SQL for custom needs, discovering relevant Mart models, and finally analyzing local manifest artifacts. This approach ensures high-accuracy data retrieval while maintaining best practices by prioritizing defined business metrics over raw staging tables. It is ideal for teams who want to bridge the gap between their dbt transformation layer and immediate business insights.
