{
  "markdown": "# Quality Dimension Generator\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![TypeScript](https://img.shields.io/badge/TypeScript-5.8+-blue.svg)](https://www.typescriptlang.org/)\n[![MCP](https://img.shields.io/badge/MCP-1.6+-purple.svg)](https://modelcontextprotocol.io/)\n\nAn **MCP server** that generates quality evaluation standards for any task. Transform vague requirements into precise, measurable quality criteria with AI-powered analysis, ultimately improving your final work quality.\n\n## 🎯 What It Does\n\n- **📊 Analyzes your tasks** - Understand what needs to be accomplished\n- **🎯 Creates evaluation standards** - Generate specific quality dimensions with scoring criteria\n- **📈 Sets target scores** - Define expected quality levels (e.g., 8/10)\n- **✅ Guides execution** - Help you complete tasks with clear quality standards\n\n## 🚀 Quick Start\n\n### Installation\n\nInstall from the **Smithery AI Model Context Protocol Registry**:\n\n🔗 **[Get Quality Dimension Generator on Smithery](https://smithery.ai/server/@magenie33/quality-dimension-generator)**\n\n### Basic Usage\n\n**Step 1:** Generate task analysis\n```javascript\ngenerate_task_analysis_prompt({\n  userMessage: \"Write a 1000-word article about AI\"\n})\n```\n\n**Step 2:** Generate quality standards\n```javascript\ngenerate_quality_dimensions_prompt({\n  taskAnalysisJson: \"...\" // JSON from step 1\n})\n```\n\n**Result:** Get comprehensive quality evaluation criteria with target scores, then complete your task following those standards.\n\n## 📋 Example Output\n\nFor the task \"Write a technical blog post\":\n\n```json\n{\n  \"expectedScore\": 8,\n  \"scoreCalculation\": \"Average of all 5 dimension scores\",\n  \"dimensions\": [\n    {\n      \"name\": \"Technical Accuracy\",\n      \"description\": \"Correctness and depth of technical content\",\n      \"importance\": \"Ensures readers get reliable information\",\n      \"scoring\": {\n        \"10\": \"All technical details verified and comprehensive\",\n        \"8\": \"Mostly accurate with minor gaps\",\n        \"6\": \"Generally correct but lacks depth\"\n      }\n    }\n    // ... 4 more dimensions\n  ]\n}\n```\n\n## 💡 Use Cases\n\n- **Software Development** - Code quality, testing, documentation standards\n- **Content Creation** - Writing quality, SEO, engagement metrics\n- **Project Management** - Deliverable criteria, timeline adherence\n- **Research** - Methodology, accuracy, presentation standards\n\n## 🤝 Contributing\n\nContributions welcome! This project is open source under the MIT License.\n\n## 🔗 Resources\n\n- [Model Context Protocol Documentation](https://modelcontextprotocol.io/docs)\n- [Smithery MCP Registry](https://smithery.ai/)\n\n---\n\n**Transform your work quality today!** 🚀\n",
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