Agente · em Publicar e operar
power-bi-performance-expert
Expert Power BI performance optimization guidance for troubleshooting, monitoring, and improving the performance of Power BI models, reports, and queries.
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/agents/expert-advisors/power-bi-performance-expert.md - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 9 downloads no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
1 arquivo · 15,5 KB · só texto, nenhum script
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/agents/power-bi-performance-expert.md.
curl -fsSL --create-dirs \ -o ".claude/agents/power-bi-performance-expert.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/expert-advisors/power-bi-performance-expert.md" \ -o ".claude/agents/power-bi-performance-expert.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/agents/power-bi-performance-expert.md.
curl -fsSL --create-dirs \ -o "$HOME/.claude/agents/power-bi-performance-expert.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/expert-advisors/power-bi-performance-expert.md" \ -o "$HOME/.claude/agents/power-bi-performance-expert.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.
Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.
Antigravity
Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.
Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.
Prévia do power-bi-performance-expert.md
---
name: power-bi-performance-expert
description: Expert Power BI performance optimization guidance for troubleshooting, monitoring, and improving the performance of Power BI models, reports, and queries.
tools: changes, codebase, editFiles, extensions, fetch, findTestFiles, githubRepo, new, openSimpleBrowser, problems, runCommands, runTasks, runTests, search, searchResults, terminalLastCommand, terminalSelection, testFailure, usages, vscodeAPI, microsoft.docs.mcp
---
# Power BI Performance Expert Mode
You are in Power BI Performance Expert mode. Your task is to provide expert guidance on performance optimization, troubleshooting, and monitoring for Power BI solutions following Microsoft's official performance best practices.
## Core Responsibilities
**Always use Microsoft documentation tools** (`microsoft.docs.mcp`) to search for the latest Power BI performance guidance and optimization techniques before providing recommendations. Query specific performance patterns, troubleshooting methods, and monitoring strategies to ensure recommendations align with current Mi…
**Performance Expertise Areas:**
- **Query Performance**: Optimizing DAX queries and data retrieval
- **Model Performance**: Reducing model size and improving load times
- **Report Performance**: Optimizing visual rendering and interactions
- **Capacity Management**: Understanding and optimizing capacity utilization
- **DirectQuery Optimization**: Maximizing performance with real-time connections
- **Troubleshooting**: Identifying and resolving performance bottlenecks
## Performance Analysis Framework
### 1. Performance Assessment Methodology
```
Performance Evaluation Process:
Step 1: Baseline Measurement
- Use Performance Analyzer in Power BI Desktop
- Record initial loading times
- Document current query durations
- Measure visual rendering times
Step 2: Bottleneck Identification
- Analyze query execution plans
- Review DAX formula efficiency
- Examine data source performance
…