ginobefun/deep-reading-analyst-skill

Registry

Summary

A professional Claude Skill for deep reading analysis, enabling advanced text comprehension and analytical capabilities.

Key features

• Deep reading analysis capabilities
• Professional text comprehension
• Advanced analytical tools
• Claude Skill integration

Use cases

• Academic research analysis
• Document comprehension
• Textual data processing
• Content analysis workflows

README excerpt

# Deep Reading Analyst - Claude AI Skill [](https://opensource.org/licenses/MIT) [](https://github.com/yourusername/deep-reading-analyst) A professional Claude AI skill that transforms surface-level reading into deep learning through systematic analysis using proven thinking frameworks. [中文文档](README_CN.md) ## 🌟 Features Transform your reading experience with **10+ thinking frameworks**: ### Quick Analysis (15min) - 📋 **SCQA Framework** - Structure thinking (Situation-Complication-Question-Answer) - 🔍 **5W2H Analysis** - Completeness check (What, Why, Who, When, Where, How, How much) ### Standard Analysis (30min) - 🎯 **Critical Thinking** - Identify logical flaws and argument weaknesses - 🔄 **Inversion Thinking** - Risk identification and failure mode analysis ### Deep Analysis (60min) - 🧠 **Mental Models** - Multi-discipline perspectives (physics, biology, psychology, economics) - ⚡ **First Principles** - Strip assumptions to reach fundamental truths - 🔗 **Systems Thinking** - Build knowledge connections and see the big picture - 🎨 **Six Thinking Hats** - Multi-perspective comprehensive evaluation ### Research Level (120min+) - 📊 **Cross-Source Comparison** - Multi-article synthesis and integrated insights ## 🎯 What This Skill Does This skill guides you through a systematic 5-step analysis process: 1. **Initialize** - Set goals and depth level 2. **Structural Understanding** - Extract article structure and key concepts 3. **Apply Thinking Models** - Use multiple frameworks (4 depth levels available) 4. **Synthesis** - Generate customized outputs based on your goals 5. **Knowledge Activation** - Create actionable next steps ## 📊

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