What problem does it solve? Working with Microsoft Fabric Eventhouse and KQL databases requires knowing the correct Kusto REST endpoints, token audiences, and management command syntax, and mistakes in payload shape or authentication produce failed or wrong operations. This Skill provides the exact CLI patterns for both schema management and read-only analytics. ## Core Features & Use Cases - KQL Authoring: Create and alter tables, functions, materialized views, retention and caching policies, ingestion mappings, and update policies using idempotent .create-merge and .create-or-alter commands via az rest. - Read-Only KQL Consumption: Run analytical queries, discover schema with .show commands, monitor ingestion health, and export results to JSON or CSV with jq. - Use Case: A data engineer needs a KQL table for a sensor feed with a 30-day retention policy and CSV ingestion mapping. The Skill resolves the workspace and cluster URI, executes the management commands against the live KQL database, and verifies the deployed schema. ## Quick Start Ask the AI to create a KQL table with a retention policy in your Fabric Eventhouse, or to run a KQL query summarizing events per hour over the last day.