powerbi-modeling

# Power BI Semantic Modeling Guide users in building optimized, well-documented Power BI semantic models following Microsoft best practices. ## When to Use This Skill Use this skill when users ask about: - Creating or optimizing Power BI semantic models - Designing star schemas (dimension/fact tables) - Writing DAX measures or calculated columns - Configuring table relationships (cardinality, cross-filter) - Implementing row-level security (RLS) - Naming conventions for tables, columns, measures - Adding descriptions and documentation to models - Performance tuning and optimization - Calculation groups and field parameters - Model validation and best practice checks **Trigger phrases:** "create a measure", "add relationship", "star schema", "optimize model", "DAX formula", "RLS", "naming convention", "model documentation", "cardinality", "cross-filter" ## Prerequisites ### Required Tools - **Power BI Modeling MCP Server**: Required for connecting to and modifying semantic models - Enables: connection_operations, table_operations, measure_operations, relationship_operations, etc. - Must be configured and running to interact with models ### Optional Dependencies - **Microsoft Learn MCP Server**: Recommended for researching latest best practices - Enables: microsoft_docs_search, microsoft_docs_fetch - Use for complex scenarios, new features, and official documentation ## Workflow ### 1. Connect and Analyze First Before providing any modeling guidance, always ex...