powerbi-modeling

Semantic modeling assistant for building optimized Power BI data models with DAX, relationships, and best practices. Guide users in building optimized, well-documented Power BI semantic models following Microsoft best practices. Use this skill when users ask about: Trigger phrases: "create a measure", "add relationship", "star schema", "optimize model", "DAX formula", "RLS", "naming convention", "model documentation", "cardinality", "cross-filter" Before providing any modeling guidance, always examine the current model state: After connecting, assess the model against best practices: Based on analysis, guide improvements using references: Use these Power BI Modeling MCP operations: Research current best practices using microsoft_docs_search for: - Connects to active Power BI models (Desktop or Fabric) to analyze current structure before providing guidance on star schemas, relationships, measures, and naming conventions - Covers core modeling tasks: creating DAX measures, configuring table relationships and cardinality, implementing row-level security (RLS), and optimizing performance - Includes model quality assessment against best practices, with checklists for documentation, hidden fields, cross-filter direction, and calculation groups - Provides targeted recommendations via reference guides for star schema design, relationship configuration, DAX patterns, and performance...