# Powerbi Data Quality Observability Source Pack

> Use when Power BI sources include data quality, data observability, Great Expectations, Soda, Monte Carlo, Bigeye, Anomalo, dbt tests, Deequ, or quality monitoring results.

- Skill: `rweisssieker-xp/powerbi-data-quality-observability-source-pack` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/powerbi-data-quality-observability-source-pack`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/powerbi-data-quality-observability-source-pack/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: rweisssieker-xp (https://skillmd.com/u/rweisssieker-xp)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rweisssieker-xp/powerbi-data-quality-observability-source-pack

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# Power BI Data Quality Observability Source Pack

## Vendors and Tools

Great Expectations, Soda, Monte Carlo, Bigeye, Anomalo, dbt tests, Deequ, Informatica Data Quality, Ataccama.

## Source Objects

- Expectation, test, rule, assertion, anomaly, incident, dataset, freshness, volume, schema change, owner, severity.

## Power BI Patterns

- Data quality score.
- Data contract compliance.
- Incident aging.
- Quality by domain/source.
- Broken KPI risk.

## Output Requirements

- Include rule definition, result, severity, affected asset, owner, SLA, evidence, and retest status.