Provides a structured agent workflow for answering business questions against a data warehouse using dbt. It prefers the semantic layer (metrics API) first, falls back to modifying compiled SQL when minor changes are needed, and then performs model discovery or manifest/catalog analysis when necessary. The skill includes decision flows and examples for generating and executing SQL to return metrics and dimensions.
Use this skill when a user asks analytics or KPI questions (e.g., "total sales last quarter", "top customers by revenue"). Not intended for model development, dbt runs/tests, or changing project models. It is ideal for analytics assistants with warehouse access, semantic layer integrations, or in-project manifest analysis.
Designed for data/analytics agents that can call semantic layer APIs, run SQL, or inspect dbt project artifacts (e.g., analytics assistants built on dbt integrations, SQL-execution-capable LLM agents).
This skill has not been reviewed by our automated audit pipeline yet.
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