semantic-models

Audit semantic models for quality, performance, and best practice violations. Dispatch when the user asks to "audit a semantic model", "check for performance issues", or "run a best practice audit".

Trace relationships between semantic models and downstream reports across Fabric workspaces. Automatically invoke when the user asks to "find downstream reports", "show report lineage", "impact analysis", "what depends on this dataset", "cross-workspace lineage", "which reports are connected", "get model dependencies", or mentions model-to-report dependency tracing.

Author, validate, and test Power Query M expressions in semantic model partitions. Automatically invoke when the user mentions "Power Query", "M code", "M expression", "partition expression", "query folding", or asks to "write Power Query", "fix Power Query", "test a partition", "preview partition data", "debug Power Query step", "optimize Power Query".

Semantic model refresh operations; triggering, monitoring, cancelling, and validating refreshes via API. Automatically invoke when the user mentions "refresh", "dataset refresh", "incremental refresh", "enhanced refresh", or asks to "refresh a semantic model", "check refresh status", "monitor refresh history", "cancel a refresh", "refresh partitions", "validate refresh results".

Review, audit, and validate Power BI semantic models against quality, performance, and best practice standards. Automatically invoke when the user asks to "review a semantic model", "audit a semantic model", "check model quality", "optimize my model", "validate model design", "check AI readiness", "prepare model for Copilot", or mentions model validation or quality assessment.

Interactive naming convention standardization for TMDL-based Power BI semantic models. Automatically invoke when the user asks to "standardize naming conventions", "fix naming conventions", "clean up model names", "apply naming standards", "audit naming", "make names human readable", "rename fields", "fix abbreviations in model", or mentions renaming measures, columns, or tables for consistency across a model.