# Powerbi Expert Review

> Review existing Power BI reports, PBIX/PBIP projects, semantic model specs, DAX, Power Query, report pages, RLS, refresh design, and governance to find issues normally caught by senior Power BI experts.

- Skill: `rweisssieker-xp/powerbi-expert-review` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/powerbi-expert-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/powerbi-expert-review/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rweisssieker-xp (https://skillmd.com/u/rweisssieker-xp)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rweisssieker-xp/powerbi-expert-review

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# Power BI Expert Review

Use this skill when the user wants to reduce dependency on many Power BI experts by standardizing review quality.

## Review Priorities

1. Business correctness: KPI definitions, grain, filters, date basis, exclusions.
2. Model correctness: facts, dimensions, relationships, cardinality, ambiguity, many-to-many, role-playing dates.
3. DAX quality: explicit measures, context handling, time intelligence, performance, naming, folders.
4. Power Query and source design: folding, incremental refresh, privacy levels, gateway, credentials, schema drift.
5. Report UX: page purpose, slicer consistency, visual choice, drillthrough, exception workflows.
6. Security and governance: RLS/OLS, sensitivity, workspace, certification, deployment, ownership.
7. Validation: source totals, row counts, financial reconciliation, RLS test users, refresh monitoring.

## Output Requirements

- Lead with findings ordered by severity.
- Use concrete evidence from files, specs, DAX, or model descriptions when available.
- Separate blockers, high-risk issues, maintainability issues, and improvement opportunities.
- End with a short remediation checklist.

## Assets

- `assets/review-checklist.md`: reusable review checklist.