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pbi-measure-creation

Generate and validate DAX measures from business descriptions for Power BI semantic models.

Updated Aug 23, 2026
Search Tags:#deployment#validation#generate#dax#measure#powerbi
One-click install
npx skills add https://github.com/fabioc-aloha/PBI-Visual-Assistant --skill pbi-measure-creation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pbi-measure-creation
Source: https://github.com/fabioc-aloha/PBI-Visual-Assistant/tree/main/.github/skills/pbi-measure-creation
Command: npx skills add https://github.com/fabioc-aloha/PBI-Visual-Assistant --skill pbi-measure-creation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate and validate DAX measures automatically from business descriptions, then deploy them to your Power BI semantic model.

Core Features & Use Cases

  • Generate DAX measures from business descriptions and ensure all references exist in the model.
  • Validate syntax and ground references against the connected model, with MCP deployment.
  • Translate business intent into readable descriptions and provide both business-friendly and technical representations.
  • Use cases include creating revenue measures, YoY calculations, time intelligence patterns, and governance checks for new measures.

Quick Start

Describe a business need in natural language and let the skill generate, validate, and deploy a DAX measure to your semantic model.

Frequently Asked Questions about pbi-measure-creation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate DAX measures from business descriptions in Power BI?▼

Generating DAX measures from business descriptions is done by translating natural language intent into syntax, validating references against the schema, and deploying the calculation to your Power BI semantic model.

Can I deploy DAX measures directly to a Power BI semantic model?▼

Yes, you can deploy DAX measures directly to a Power BI semantic model using MCP deployment, which handles the end-to-end generation, validation, and application of calculations with robust error handling.

Does this approach work for Power BI time intelligence calculations?▼

Yes, this approach works for Power BI time intelligence calculations, supporting patterns like YoY calculations by grounding references against the current model and validating the DAX syntax before deployment.

What is the best way to ensure new Power BI measures have valid schema references?▼

The best way to ensure valid schema references is to perform rigorous reference grounding against the current model, validating that all columns and tables used in the DAX measure exist before deploying.

Are there limitations when generating DAX measures for Power BI semantic modeling?▼

Limitations when generating DAX measures include relying entirely on the accuracy of the connected model schema for reference grounding, meaning incomplete or poorly structured semantic models can cause validation failures.

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