powerbi-standardize-naming-conventionslisted

# Standardize Naming Conventions Interactive workflow for auditing and standardizing naming conventions in Power BI semantic models stored as TMDL files. Ensures tables, columns, measures, and display folders follow human-readable, consistent, business-aligned naming standards. ## Primary Workflow ### Phase 1: Discover the Model Locate the TMDL files. Ask the user for the path to the `.SemanticModel/definition/` directory if not obvious from context. Then scan the model structure: ```bash # Count tables and get an overview ls <path>/tables/*.tmdl ``` Read all table TMDL files to build a complete picture of current naming patterns. Focus on: - Table names (check for DIM_, FACT_, or other technical prefixes) - Measure names (check for abbreviations, programming conventions, inconsistent syntax) - Column names (check for CamelCase, snake_case, abbreviations) - Display folder structure (check for organization and consistency) - Presence of descriptions (`///` comments) ### Phase 2: Understand Business Context **CRITICAL: Do not rename anything without understanding the business terminology.** Use `AskUserQuestion` to gather context: 1. **Business terminology**: "What terminology does your organization use for key metrics? For example, do you call it Revenue, Turnover, Sales, or Gross Sales?" 2. **Existing conventions**: "Do you have any documented naming conventions or standards already?" 3. **Period conventions**: "How do you typically refer to prior periods? (e.g., 1Y