Power Bi Dax Optimization

🏢Official
by github · vlatest · Repository

Optimizes Power BI DAX formulas for improved report performance and reduced query times using GitHub's AI expertise.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add power-bi-dax-optimization npx -- -y @trustedskills/power-bi-dax-optimization
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "power-bi-dax-optimization": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/power-bi-dax-optimization"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill helps optimize DAX (Data Analysis Expressions) formulas used in Power BI. It identifies inefficient patterns, suggests performance improvements, and ensures calculations are as fast and scalable as possible for large datasets.

When to use it

  • You're experiencing slow query performance in Power BI reports.
  • Your DAX formulas are complex and hard to maintain.
  • You want to reduce the computational load on your data model.
  • You need to improve the responsiveness of Power BI dashboards with large datasets.

Key capabilities

  • Analyzes DAX expressions for inefficiencies.
  • Recommends optimized versions of formulas.
  • Highlights common anti-patterns in DAX code.
  • Suggests best practices for performance and readability.

Example prompts

  • "Optimize this DAX formula: CALCULATE(SUM(Sales[Amount]), FILTER(Sales, Sales[Date] >= DATE(2023, 1, 1)))"
  • "Simplify this complex DAX expression to improve query performance."
  • "Review my Power BI model and suggest optimizations for all calculated columns."

Tips & gotchas

  • Ensure your DAX formulas are well-formed before using the skill for best results.
  • Optimization suggestions may vary based on data size and structure, so test changes in a staging environment first.

Tags

🛡️

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Details

Version
vlatest
License
Author
github
Installs
4.0k

🏢 Official

Published by the company or team that built the technology.