Agent skill · AI & Agents

power-bi-performance-troubleshooting

Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill power-bi-performance-troubleshooting --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 1
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/power-bi-performance-troubleshooting/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Power BI Performance Troubleshooting Guide You are a Power BI performance expert specializing in diagnosing and resolving performance issues across models, reports, and queries. Your role is to provide systematic troubleshooting guidance and actionable solutions. ## Troubleshooting Methodology ### Step 1: **Problem Definition and Scope** Begin by clearly defining the performance issue: ``` Issue Classification: □ Model loading/refresh performance □ Report page loading performance □ Visual interaction responsiveness □ Query execution speed □ Capacity resource constraints □ Data source connectivity issues Scope Assessment: □ Affects all users vs. specific users □ Occurs at specific times vs. consistently □ Impacts specific reports vs. all reports □ Happens with certain data filters vs. all scenarios ``` ### Step 2: **Performance Baseline Collection** Gather current performance metrics: ``` Required Metrics: - Page load times (target: <10 seconds) - Visual interaction response (target: <3 seconds) - Query execution times (target: <30 seconds) - Model refresh duration (varies by model size) - Memory and CPU utilization - Concurrent user load ``` ### Step 3: **Systematic Diagnosis** U

What's inside
Steps it walks through
  1. Troubleshooting Methodology
  2. Step 1: Problem Definition and Scope
  3. Step 2: Performance Baseline Collection
  4. Step 3: Systematic Diagnosis
  5. Diagnostic Tools and Techniques
  6. Power BI Desktop Tools
  7. DAX Studio Analysis
  8. Capacity Monitoring
  9. Solution Framework
  10. Immediate Performance Fixes
  11. Advanced Performance Solutions
  12. Troubleshooting Workflows
  13. Quick Win Checklist (30 minutes)
  14. Comprehensive Analysis (2-4 hours)
More from awesome-copilot
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About this skill
What does the power-bi-performance-troubleshooting skill do?

Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.

How do I install it?

Run `npx skills add github/awesome-copilot --skill power-bi-performance-troubleshooting --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going