visual-selector

Determine the best Power BI visual type from query measures and dimensions.

1|Updated May 13, 2026
One-click install
npx skills add https://github.com/bcastelino/powerbi-dashboard-generator --skill visual-selector
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: visual-selector
Source: https://github.com/bcastelino/powerbi-dashboard-generator/tree/main/skills/visual-selector
Command: npx skills add https://github.com/bcastelino/powerbi-dashboard-generator --skill visual-selector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill determines the optimal Power BI visual type for a given data profile, reducing the complexity of visual selection and improving dashboard efficiency.

Core Features & Use Cases

  • Visual Type Recommendation: Automatically select the best visual type based on measures and dimensions.
  • Field Mapping: Maps fields to visual data buckets for accurate visualization.
  • Use Case: When building a dashboard, this skill can help you choose between a line chart, bar chart, or other visuals based on your data's characteristics.

Quick Start

Use the visual-selector skill to determine the appropriate visual type for a query with measures 'Revenue' and 'Units Sold' and dimensions 'Month' and 'Category'.

Frequently Asked Questions about visual-selector

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

FAQPage Schema
How do I choose the best visual type for my Power BI dashboard?

Power BI visual selection is optimized by this Skill using decision trees and templates that analyze query measures and dimensions to recommend the optimal chart type. It maps data fields to visual buckets for accurate dashboard visualization.

What is the best way to map data fields to Power BI visual buckets?

Mapping data fields to Power BI visual buckets is handled by this Skill by processing semantic mapper output containing your measures and dimensions. It determines the appropriate field mapping to optimize visual selections automatically.

Do I need a semantic mapper to use this visual selection tool?

A semantic mapper is required to use this visual selection tool because the decision-making logic depends on its output. The semantic mapping provides the query measures and dimensions necessary to drive the visual type recommendation.

Can I get a visual type recommendation for multiple dimensions and measures?

Getting a visual type recommendation for multiple dimensions and measures is supported by submitting them together in your query. The Skill evaluates the combined data profile to select the most effective chart format for your report.

When should I use automated visual selection instead of manual dashboard design?

Automated visual selection should be used during BI dashboard development when you have complex data profiles and want to reduce the complexity of visual selection. It improves dashboard efficiency by leveraging decision trees instead of manual chart choices.