What problem does it solve?
Working with a SQL database in Microsoft Fabric requires juggling endpoint discovery, Entra authentication, T-SQL authoring, and OLTP performance diagnostics across many tools. This Skill gives an AI assistant the exact commands, references, and workflows to create schemas, run read-only queries, and investigate slow or blocked queries against a Fabric SQL database without guesswork.
Core Features & Use Cases
- Schema and Data Authoring: Create tables, constraints, indexes, vector columns, temporal tables, and deploy dacpac files with SqlPackage, executing real DDL/DML through sqlcmd.
- Read-Only Querying: Run SELECT queries, catalog exploration, vector similarity search, temporal queries, and JSON processing against the OLTP or SQL analytics endpoint.
- Performance Diagnostics: Investigate Query Store data, blocked sessions, regressed plans, wait statistics, and CPU/IO pressure, with optional Extended Events sessions for intermittent blocking.
- Use Case: A user asks "Which queries regressed in the last day?" The Skill selects operations mode, runs Query Store comparison queries against the OLTP endpoint, and reports the regressed queries with duration change percentages.
Quick Start
Ask the assistant to create an Orders table with a foreign key to Customers in your Fabric SQL database, or to find the five nearest embeddings to a given vector.