Power Bi Performance Troubleshooting

🏢Official
by github · vlatest · Repository

Diagnose Power BI report slowness and errors by analyzing data model, queries, and gateway configurations.

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-performance-troubleshooting npx -- -y @trustedskills/power-bi-performance-troubleshooting
2

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

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

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

About This Skill

What it does

This skill helps identify and resolve performance issues in Power BI reports, such as slow query execution, high memory usage, or rendering delays. It provides actionable insights into optimizing data models, DAX expressions, and report configurations for better efficiency.

When to use it

  • Your Power BI report is taking too long to load or refresh.
  • You're experiencing high CPU or memory consumption in Power BI Desktop or Service.
  • Users are reporting slow performance when interacting with visualizations.
  • You want to optimize a complex data model for faster query responses.

Key capabilities

  • Analyzes DAX queries for inefficiencies and suggests optimizations.
  • Identifies large tables or unused columns that may be impacting performance.
  • Recommends best practices for data modeling, such as proper use of relationships and partitions.
  • Detects potential bottlenecks in report visuals and data sources.

Example prompts

  • "Why is my Power BI report slow to load?"
  • "How can I optimize this DAX formula for better performance?"
  • "What are the top 3 ways to improve Power BI memory usage?"

Tips & gotchas

  • Ensure your Power BI model is up to date and connected to accurate data sources before running diagnostics.
  • Performance issues may depend on external factors like dataset size or server configuration, so consider these when interpreting results.

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.