What problem does it solve? Querying Microsoft Fabric Warehouses, Lakehouse SQL Endpoints, and Mirrored Databases from the command line requires correct endpoint discovery, Entra ID authentication, and knowledge of the supported T-SQL surface area, which is error-prone without guidance. ## Core Features & Use Cases - Endpoint Discovery & Connection: Resolve workspace and item IDs via Fabric REST APIs with JMESPath filtering, then connect using sqlcmd (Go) with Entra ID authentication. - Agentic Data Exploration: Follow a structured schema discovery sequence (schemas, tables, columns, row counts, samples) to chat with lakehouse or warehouse data. - Script Generation & Export: Produce reusable Bash and PowerShell scripts for CSV export, parameterized date-range queries, schema reports, and performance investigation using queryinsights DMVs. - Use Case: Ask how many rows exist in a lakehouse table; the skill discovers the SQL endpoint, authenticates via az login, runs the count query with sqlcmd, and can export results to CSV. ## Quick Start Ask the assistant to show the tables in your Fabric lakehouse and count the rows in a specific table using the sqldw-consumption-cli skill.