Power BI & Fabric Analytics

Orchestrate Power BI semantic models with Fabric Lakehouse for analytics workflows.

12|4|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/markus41/Claude-m --skill power-bi-fabric-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Power BI & Fabric Analytics
Source: https://github.com/markus41/Claude-m/tree/main/powerbi-fabric/skills/powerbi-analytics
Command: npx skills add https://github.com/markus41/Claude-m --skill power-bi-fabric-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Power BI & Fabric Analytics solves the challenge of unifying Power BI development with Fabric lakehouse orchestration, enabling end-to-end analytics pipelines from data ingestion to visualization.

Core Features & Use Cases

  • Integrates DAX, Power Query M, and PBIP/TOM workflows to design, deploy, and version semantic models.
  • Orchestrates Fabric Notebooks, Dataflow Gen2, and lakehouse interactions to keep datasets current and governance compliant.
  • Real-world use case: a data team builds a weekly Power BI report set by automatically refreshing a Direct Lake semantic model from a curated Gold lakehouse and publishing dashboards.

Quick Start

Create a Power BI semantic model from your Fabric lakehouse and trigger a dataset refresh for the latest data.

Frequently Asked Questions about Power BI & Fabric Analytics

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

FAQPage Schema
How do I connect a Power BI semantic model directly to a Fabric lakehouse?

You can connect a Power BI semantic model to a Fabric lakehouse by configuring a Direct Lake connection. This enables end-to-end analytics workflows that automatically refresh datasets from your curated Gold lakehouse.

Can I automate Power BI dataset refreshes using REST APIs and Fabric Notebooks?

Yes, you can automate Power BI dataset refreshes by orchestrating Fabric Notebooks and Dataflow Gen2 with admin REST APIs. This keeps datasets current and governance compliant throughout the deployment cycle.

What is the best way to version control Power BI semantic models and DAX definitions?

The best way to version control Power BI semantic models is by integrating PBIP and TOM workflows. This applies DAX and Power Query M definitions into versioned files for streamlined model design and deployment.

Does Power BI work with Fabric Dataflow Gen2 for automated data preparation?

Yes, Power BI works with Fabric Dataflow Gen2 to orchestrate data preparation workflows. This integration connects semantic modeling with lakehouse interactions to maintain current datasets and governance compliance.

How do I deploy Power BI dashboards from a Fabric lakehouse end-to-end?

You deploy Power BI dashboards from a Fabric lakehouse by orchestrating end-to-end analytics pipelines. This spans data ingestion, semantic model design, automated refresh cycles, and final dashboard publication.