mcp-engine-model-quality
bymaxanatsko· 9 skills
Assess Power BI semantic models for bad or questionable modeling practices and produce a source-backed quality scorecard. Use when reviewing model quality, semantic model assessment, semantic model best practices, star schema fit, relationships, DAX maintainability, VertiPaq/storage risk, metadata hygiene, governance signals, validation gaps, or when the user asks for a scorecard, recommendations, model audit, model quality review, bad practices review, best practices audit, or best practices assessment.
How to install mcp-engine-model-quality?
maxanatsko/mcp-engine-public/mcp-engine-model-quality
$npx -y skills add maxanatsko/mcp-engine-public --skill mcp-engine-model-qualityInstalls into the current project.
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Run `npx skills use "https://github.com/maxanatsko/mcp-engine-public" --skill "maxanatsko/mcp-engine-public/mcp-engine-model-quality"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/maxanatsko/mcp-engine-public" that are relevant to the current task. Run `npx skills add "https://github.com/maxanatsko/mcp-engine-public"` and select the relevant skills, then follow their instructions.
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