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mcp-engine-ai-readiness

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Streamline Power BI model evaluation for AI preparedness.

Data & Analytics#copilot#power bi#ai readiness#model assessment#schema quality#metadata review
Authormaxanatsko
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables users to assess Power BI semantic models for AI and Copilot readiness, identifying potential gaps in documentation, schema clarity, and validation to ensure reliable natural-language interactions.

Core Features & Use Cases

  • Model Inspection: Review tables, measures, relationships, and model properties to evaluate completeness and clarity.
  • Gap Analysis: Identify missing descriptions, ambiguous metrics, and inconsistent naming conventions affecting AI performance.
  • Workflow Guidance: Assist in preparing AI instructions, data schemas, and curated answer candidates for Power BI models.
  • Use Case: A data analyst uses this Skill to prepare a Power BI model for Copilot deployment, ensuring the model's schema and documentation support accurate, natural-language Q&A.

Quick Start

Use the mcp-engine-ai-readiness Skill to evaluate your Power BI model and generate an assessment report highlighting areas for improvement.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: mcp-engine-ai-readiness
Download link: https://github.com/maxanatsko/mcp-engine-public/archive/main.zip#mcp-engine-ai-readiness

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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