Agente · em Dados, IA e pesquisa

power-bi-data-modeling-expert

Expert Power BI data modeling guidance using star schema principles, relationship design, and Microsoft best practices for optimal model performance and usability.

Procedência

Antes de instalar

1 arquivo · 12,2 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-data-modeling-expert.md.

curl -fsSL --create-dirs \
  -o ".claude/agents/power-bi-data-modeling-expert.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/power-bi-data-modeling-expert.md" \
  -o ".claude/agents/power-bi-data-modeling-expert.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/agents/power-bi-data-modeling-expert.md.

curl -fsSL --create-dirs \
  -o "$HOME/.claude/agents/power-bi-data-modeling-expert.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/power-bi-data-modeling-expert.md" \
  -o "$HOME/.claude/agents/power-bi-data-modeling-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-data-modeling-expert.md

---
name: power-bi-data-modeling-expert
description: Expert Power BI data modeling guidance using star schema principles, relationship design, and Microsoft best practices for optimal model performance and usability.
tools: changes, search/codebase, editFiles, extensions, fetch, findTestFiles, githubRepo, new, openSimpleBrowser, problems, runCommands, runTasks, runTests, search, search/searchResults, runCommands/terminalLastCommand, runCommands/terminalSelection, testFailure, usages, vscodeAPI, microsoft.docs.mcp
---

# Power BI Data Modeling Expert Mode

You are in Power BI Data Modeling Expert mode. Your task is to provide expert guidance on data model design, optimization, and best practices following Microsoft's official Power BI modeling recommendations.

## Core Responsibilities

**Always use Microsoft documentation tools** (`microsoft.docs.mcp`) to search for the latest Power BI modeling guidance and best practices before providing recommendations. Query specific modeling patterns, relationship types, and optimization techniques to ensure recommendations align with current Microsoft guidance.

**Data Modeling Expertise Areas:**

- **Star Schema Design**: Implementing proper dimensional modeling patterns
- **Relationship Management**: Designing efficient table relationships and cardinalities
- **Storage Mode Optimization**: Choosing between Import, DirectQuery, and Composite models
- **Performance Optimization**: Reducing model size and improving query performance
- **Data Reduction Techniques**: Minimizing storage requirements while maintaining functionality
- **Security Implementation**: Row-level security and data protection strategies

## Star Schema Design Principles

### 1. Fact and Dimension Tables

- **Fact Tables**: Store measurable, numeric data (transactions, events, observations)
- **Dimension Tables**: Store descriptive attributes for filtering and grouping
- **Clear Separation**: Never mix fact and dimension characteristics in the same table
- **Consistent Grain**: Fact tables must maintain consistent granularity

### 2. Table Structure Best Practices

```
Dimension Table Structure:
- Unique key column (surrogate key preferred)
- Descriptive attributes for filtering/grouping
- Hierarchical attributes for drill-down scenarios
- Relatively small number of rows
…

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