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patrikborosch
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fabriciq

Answer natural language questions about Power BI report data via FabricIQ.

14|3|Updated Mar 13, 2026
Search Tags:#data analysis#business intelligence#natural language query#dax#power bi#semantic models#fabric iq
One-click install
npx skills add https://github.com/patrikborosch/AnalyticsPlatformAgents --skill fabriciq-patrikborosch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fabriciq
Source: https://github.com/patrikborosch/AnalyticsPlatformAgents/tree/main/creator/skills/fabriciq
Command: npx skills add https://github.com/patrikborosch/AnalyticsPlatformAgents --skill fabriciq-patrikborosch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the barrier of requiring DAX expertise or deep Power BI interface knowledge to extract insights from Power BI reports and dashboards, letting users ask questions in plain language and get accurate, data-backed answers.

Core Features & Use Cases

  • Natural Language Power BI Querying: Ask questions about report or dashboard data in plain language, no DAX required.
  • Artifact Discovery & Schema Inspection: Automatically finds relevant Power BI reports and semantic models, then inspects their metadata and schemas to generate correct queries.
  • Verified Answer Integration: Uses pre-built verified answers from semantic models when available to deliver fast, pre-validated insights without custom query generation.
  • Use Case: A business analyst can ask "What were the top 3 products by revenue in the EMEA region for Q1 2024?" for a specific Power BI sales report and get a formatted, accurate answer without writing any DAX or navigating the Power BI service.

Quick Start

Ask a natural language question about data in a specific Power BI report or dashboard, such as "What is the total revenue for the EMEA region in the 2024 Sales report?"

Frequently Asked Questions about fabriciq

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

FAQPage Schema
How do I query Power BI reports using natural language instead of DAX?▼

You can ask plain language questions about Power BI report data, and the system automatically discovers relevant semantic models, inspects schemas, generates compliant DAX queries, and returns formatted, verified answers.

Can I extract insights from Power BI semantic models without DAX proficiency?▼

Yes, you can extract insights from Power BI semantic models without DAX proficiency by submitting natural language questions, which the system translates into compliant DAX queries executed via the FabricIQ MCP endpoint to retrieve accurate answers.

How does artifact discovery work for Power BI business intelligence queries?▼

Artifact discovery for Power BI business intelligence queries works by automatically finding relevant reports and semantic models based on your natural language question, then inspecting their metadata and schemas to generate accurate DAX queries for execution.

Does this approach support pre-built verified answers from semantic models?▼

Yes, this approach supports pre-built verified answers from semantic models, delivering fast, pre-validated insights directly without requiring custom DAX query generation for questions that already have verified answers configured.

Do I need to manually navigate the Power BI service to get report data?▼

No, you do not need to manually navigate the Power BI service to get report data, as the system handles artifact discovery, metadata inspection, and entity value resolution automatically through natural language question submission.

What limitations exist when generating DAX queries from natural language questions?▼

Limitations when generating DAX queries from natural language questions include enforced guardrails for verified answers and adherence to custom semantic model instructions, ensuring only compliant queries are executed and accurate, data-backed answers are returned.

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