What problem does it solve? Migrating workloads like Spark, SQL, Power BI, and Real-Time Intelligence to Microsoft Fabric makes cost forecasting difficult because pricing is region-specific, meter-based, and split across compute, storage, and network dimensions. This Skill produces live, API-grounded cost estimates and SKU recommendations instead of stale hardcoded figures. ## Core Features & Use Cases - Live Pricing Retrieval: Fetches current per-CU-hour PAYG rates, Reserved Instance term totals, and Autoscale Spark rates from the Azure Retail Prices API before quoting any dollar figure. - Workload-to-CU Mapping: Converts Databricks clusters, Synapse pools, Power BI P-SKUs, and multi-cloud sources (AWS, GCP, Snowflake) into Fabric Capacity Unit demand with documented conversion heuristics. - Billing Mode Strategy: Computes Reserved vs. Pay-As-You-Go vs. Autoscale break-even points and builds a complete migration cost worksheet including storage and egress. - Use Case: A team migrating from Databricks and Synapse asks for a Fabric cost estimate; the Skill detects the target region, profiles current spend via the Cost Management API, maps workloads to CU demand, and outputs a monthly cost breakdown comparing F-SKU tiers. ## Quick Start Ask the assistant to estimate the monthly Microsoft Fabric cost for migrating your Databricks and Power BI workloads, specifying your Azure region and current cluster or SKU configuration.