Scaffolds a complete dbt-fabric project for a Fabric Data Warehouse: generates profiles.yml, dbt_project.yml, a column-rich _sources.yml (with data types for every table column, ready for dbt contracts), requirements.txt, and .gitignore, then writes them to the local filesystem. Use when the user asks to "set up dbt", "scaffold a dbt project", "create dbt profile", "initialize dbt for my warehouse", "generate dbt sources", or "bootstrap dbt-fabric".
Analyzes query performance on a Fabric Data Warehouse: captures the estimated execution plan, inspects query insights history, identifies costly operators and missing or stale statistics, inspects data-clustering columns, and proposes or applies optimizations. Use when the user asks to "optimize a query", "why is my query slow", "check query performance", "analyze execution plan", "missing statistics", "fix clustering", "re-cluster table", or any variant of diagnosing slow Fabric DW SQL.
Investigates the performance of an ENTIRE Fabric Data Warehouse (warehouse-wide, not a single query): surfaces long-running and frequent queries, reads SQL pool resource-pressure insights, audits statistics health, checks result-set caching, reviews and tunes SQL pool configuration, and produces a prioritized findings + recommendations report. Use when the user asks to "investigate warehouse performance", "why is my warehouse slow", "tune sql pools", "find expensive queries", "find the most frequent queries", "check sql pool pressure", or "enable result set caching". For diagnosing or rewriting ONE specific query (execution plan, missing statistics on its tables, clustering), use /query-optimizer instead.