deep-reading-analyst-skill

内容来源：README.md（说明文档） · 原始地址 · 查看安装指南

原始内容

# Deep Reading Analyst - Claude AI Skill

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Version](https://img.shields.io/badge/version-2.0.0-blue.svg)](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](https://github.com/ginobefun/deep-reading-analyst-skill/blob/HEAD/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

## 📊 Analysis Depth Levels

Choose the right level for your needs:

| Level | Time | Best For |
|-------|------|----------|
| **Level 1 (Quick)** | 15 min | Quick overview and key insights |
| **Level 2 (Standard)** | 30 min | Regular learning and understanding |
| **Level 3 (Deep)** | 60 min | Important content requiring depth |
| **Level 4 (Research)** | 120+ min | Academic research and cross-source comparison |

## 🚀 Installation

### Prerequisites

- Claude Desktop App or Claude Web (claude.ai)
- Claude Pro subscription (recommended for best experience)

### Steps

1. **Download** the skill file: [deep-reading-analyst.skill](https://github.com/ginobefun/deep-reading-analyst-skill/blob/HEAD/deep-reading-analyst.skill)

2. **Import to Claude:**

   **Desktop App:**
   - Open Claude Desktop
   - Click your profile icon (top-right)
   - Select Settings → Skills
   - Click "Import Skill"
   - Select the downloaded `.skill` file

   **Web Version:**
   - Visit [claude.ai](https://claude.ai)
   - Click Settings icon (bottom-right)
   - Go to "Skills" tab
   - Click "Import" button
   - Upload the `.skill` file

3. **Start using!** The skill will automatically trigger when you ask Claude to analyze articles.

## 💡 Usage Guide

### Basic Usage

Simply provide an article and ask Claude to analyze it:

```
Please analyze this article deeply: [paste content or URL]
```

### Specify Analysis Depth

```
Please use Level 3 (Deep) mode to analyze this software engineering article
```

### Request Specific Thinking Framework

You can explicitly request any framework:

```
Please use Critical Thinking to analyze the argumentation quality
Please use First Principles to deconstruct this concept
Please use Systems Thinking to analyze the relationships
Please use Six Thinking Hats to comprehensively evaluate this viewpoint
```

### Request Specific Output Format

```
Please analyze this article and provide:
1. Learning notes (for myself)
2. Practical application plan
3. Concept map
```

## 🎨 Usage Scenarios

### Scenario 1: Quick Understanding

```
I need to quickly understand this article's core points:
[Article link]

Please use Level 1 quick mode for a structured summary
```

### Scenario 2: Critical Analysis of Academic Papers

```
Please critically analyze this research paper:
[Paper content]

Focus on:
- Argument rigor
- Evidence sufficiency
- Logical flaws
```

### Scenario 3: Multi-Article Comparison

```
Compare these three articles on product thinking:
[Article 1]
[Article 2]
[Article 3]

Focus on: consensus, divergence, and unique value
```

### Scenario 4: Knowledge to Practice

```
I read this article about time management. Please:
1. Extract the top 3 actionable methods
2. Design a specific implementation plan for my work
3. List potential obstacles and solutions
```

### Scenario 5: Systematic Learning

```
I want to systematically learn "requirements analysis". This is the first article:
[Article content]

Please use Systems Thinking to help me:
- Build a knowledge map for this domain
- Find connections to other areas
- Identify related concepts I should learn
```

### Scenario 6: Team Discussion Preparation

```
My team will discuss this article. Please prepare:
1. 3-minute summary of core points
2. 5 discussion questions
3. 3 real-world application scenarios
```

## 📚 Included Thinking Frameworks

The skill includes detailed reference documentation for **10+ frameworks**:

### Core Frameworks
- **SCQA** - McKinsey's structure thinking (Situation-Complication-Question-Answer)
- **5W2H Analysis** - Completeness check with 7 key questions

### Analysis Frameworks
- **Critical Thinking** - Argument evaluation, logical fallacy detection, evidence assessment
- **Inversion Thinking** - Charlie Munger's risk analysis ("how to fail?")
- **Mental Models** - 30+ models from physics, biology, psychology, economics (Munger approach)

### Deep Thinking Frameworks
- **First Principles** - Elon Musk's assumption stripping and essence extraction
- **Systems Thinking** - Causal loops, feedback mechanisms, leverage points
- **Six Thinking Hats** - Edward de Bono's multi-perspective protocol

### Output Support
- **Multiple Output Templates** - 8 different formats for various needs
- **Comparison Matrix** - Cross-source analysis methodology

## 💡 Tips & Best Practices

### ✅ Recommended Practices

1. **Be Clear About Your Goal** - Tell Claude your reading purpose (learning/problem-solving/reference)
2. **Break Down Long Articles** - Analyze sections first for very long content
3. **Ask Questions** - Actively raise doubts during analysis
4. **Practice Validation** - Request actionable implementation plans
5. **Build Connections** - Ask to relate content to your existing knowledge

### ❌ Things to Avoid

1. Don't analyze too many articles at once (recommend ≤3)
2. Don't expect the skill to replace reading (it's an enhancement tool)
3. Don't ignore critical questions raised by the analysis
4. Don't just collect notes without practicing

## 🎓 Output Formats

The skill can generate various output formats:

- **Learning Notes** - Structured personal notes with key insights and action items
- **Concept Map** - Visual knowledge structure
- **Argument Analysis** - Detailed evaluation of argumentation quality
- **Practice Plan** - Executable implementation roadmap
- **Comparison Matrix** - Systematic cross-source comparison
- **Quick Reference Card** - One-page summary of key points
- **Sharing Content** - Polished summary for others
- **Teaching Outline** - Content structured for explaining to others

## 🔍 Advanced Usage

### Combining with Other Tools

```
Use this skill to analyze the article, then:
1. Create a formatted learning note with docx skill
2. Make a knowledge tracking sheet with xlsx skill
3. Create a presentation with pptx skill
```

### Building Personal Knowledge Base

```
I want to systematically learn product management. Please:
1. Analyze the 10 articles I provide
2. Build a knowledge framework
3. Find relationships between key concepts
4. Generate a learning path
```

### Integration with Other Frameworks

You can request combinations of frameworks:

```
Please analyze this article using:
1. SCQA to understand the structure
2. Mental Models for multi-angle analysis
3. Inversion Thinking to identify risks
```

## ❓ FAQ

**Q: Can the skill read web links directly?**
A: Yes! Claude can use web_fetch to retrieve web content.

**Q: How long does analysis take?**
A: Depends on depth level - from 15 minutes (Quick) to 120+ minutes (Research).

**Q: Can I use only one specific framework?**
A: Absolutely! Just explicitly tell Claude which framework you want.

**Q: Does it support non-English content?**
A: Yes! It supports multiple languages including Chinese, English, and more.

**Q: How to make analysis more relevant to my needs?**
A: Provide more context - your background, reading purpose, focus areas, etc.

**Q: What's new in version 2.0?**
A: Added 4 major frameworks: SCQA (McKinsey), 5W2H Analysis, Mental Models (30+ models), and Inversion Thinking. Total framework count increased from 6 to 10+.

## 🛠️ Technical Details

**Repository Structure:**
```
deep-reading-analyst-skill/
├── src/                               # Source files (edit these)
│   └── deep-reading-analyst/
│       ├── SKILL.md                   # Core workflow and instructions
│       └── references/                # Thinking framework references
│           ├── scqa_framework.md      # Structure thinking (v2.0)
│           ├── 5w2h_analysis.md       # Completeness check (v2.0)
│           ├── critical_thinking.md   # Argument analysis
│           ├── inversion_thinking.md  # Risk analysis (v2.0)
│           ├── mental_models.md       # Multi-discipline models (v2.0)
│           ├── first_principles.md    # Essence extraction
│           ├── systems_thinking.md    # Relationship mapping
│           ├── six_hats.md           # Multi-perspective protocol
│           ├── output_templates.md    # Note formats
│           └── comparison_matrix.md   # Cross-article analysis
├── build.sh                           # Build script to package skill
└── deep-reading-analyst.skill         # Built skill file (ready to import)
```

**For Contributors:**
- Edit files in `src/deep-reading-analyst/`
- Run `./build.sh` to rebuild the skill package
- Test by importing the `.skill` file into Claude
- See [CONTRIBUTING.md](https://github.com/ginobefun/deep-reading-analyst-skill/blob/HEAD/CONTRIBUTING.md) for details

**Package Size:** ~40KB (optimized for context window efficiency)

## 📖 Reference Documentation

All frameworks include detailed documentation inside the skill:

- `scqa_framework.md` - McKinsey's structure thinking method
- `5w2h_analysis.md` - Systematic 7-question analysis
- `mental_models.md` - 30+ cross-disciplinary models
- `inversion_thinking.md` - Risk and failure mode analysis
- `critical_thinking.md` - Argument evaluation framework
- `first_principles.md` - Essence extraction methodology
- `systems_thinking.md` - Systems analysis toolbox
- `six_hats.md` - Multi-perspective thinking guide
- `output_templates.md` - 8 output format templates
- `comparison_matrix.md` - Multi-source comparison method

## 🤝 Contributing

Contributions are welcome! Please see [CONTRIBUTING.md](https://github.com/ginobefun/deep-reading-analyst-skill/blob/HEAD/CONTRIBUTING.md) for details.

Ideas for contributions:
- Additional thinking frameworks
- More output templates
- Use case examples
- Translations
- Bug reports and feature requests

## 📝 License

This project is licensed under the MIT License - see the [LICENSE](https://github.com/ginobefun/deep-reading-analyst-skill/tree/HEAD/LICENSE) file for details.

## 🙏 Acknowledgments

Inspired by:
- **Charlie Munger** - Mental Models and Inversion Thinking
- **McKinsey & Company** - SCQA Framework
- **Edward de Bono** - Six Thinking Hats
- **Donella Meadows** - Systems Thinking
- **Ray Dalio** - Principles
- **Richard Feynman** - Learning Technique
- **Elon Musk** - First Principles Thinking

## 📧 Contact & Support

- **Issues:** [GitHub Issues](https://github.com/yourusername/deep-reading-analyst/issues)
- **Discussions:** [GitHub Discussions](https://github.com/yourusername/deep-reading-analyst/discussions)

## ⭐ Star History

If you find this skill useful, please consider giving it a star! ⭐

---

**Made with ❤️ for deep learners and critical thinkers**

Deep Reading Analyst - Claude AI Skill

A professional Claude AI skill that transforms surface-level reading into deep learning through systematic analysis using proven thinking frameworks.

中文文档

🌟 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:

Initialize - Set goals and depth level
Structural Understanding - Extract article structure and key concepts
Apply Thinking Models - Use multiple frameworks (4 depth levels available)
Synthesis - Generate customized outputs based on your goals
Knowledge Activation - Create actionable next steps

📊 Analysis Depth Levels

Choose the right level for your needs:

Level	Time	Best For
Level 1 (Quick)	15 min	Quick overview and key insights
Level 2 (Standard)	30 min	Regular learning and understanding
Level 3 (Deep)	60 min	Important content requiring depth
Level 4 (Research)	120+ min	Academic research and cross-source comparison

🚀 Installation

Prerequisites

Claude Desktop App or Claude Web (claude.ai)
Claude Pro subscription (recommended for best experience)

Steps

Download the skill file: deep-reading-analyst.skill
Import to Claude:

Desktop App:
- Open Claude Desktop
- Click your profile icon (top-right)
- Select Settings → Skills
- Click "Import Skill"
- Select the downloaded .skill file
Web Version:
- Visit claude.ai
- Click Settings icon (bottom-right)
- Go to "Skills" tab
- Click "Import" button
- Upload the .skill file
Start using! The skill will automatically trigger when you ask Claude to analyze articles.

💡 Usage Guide

Basic Usage

Simply provide an article and ask Claude to analyze it:

Please analyze this article deeply: [paste content or URL]

Specify Analysis Depth

Please use Level 3 (Deep) mode to analyze this software engineering article

Request Specific Thinking Framework

You can explicitly request any framework:

Please use Critical Thinking to analyze the argumentation quality
Please use First Principles to deconstruct this concept
Please use Systems Thinking to analyze the relationships
Please use Six Thinking Hats to comprehensively evaluate this viewpoint

Request Specific Output Format

Please analyze this article and provide:
1. Learning notes (for myself)
2. Practical application plan
3. Concept map

🎨 Usage Scenarios

Scenario 1: Quick Understanding

I need to quickly understand this article's core points:
[Article link]

Please use Level 1 quick mode for a structured summary

Scenario 2: Critical Analysis of Academic Papers

Please critically analyze this research paper:
[Paper content]

Focus on:
- Argument rigor
- Evidence sufficiency
- Logical flaws

Scenario 3: Multi-Article Comparison

Compare these three articles on product thinking:
[Article 1]
[Article 2]
[Article 3]

Focus on: consensus, divergence, and unique value

Scenario 4: Knowledge to Practice

I read this article about time management. Please:
1. Extract the top 3 actionable methods
2. Design a specific implementation plan for my work
3. List potential obstacles and solutions

Scenario 5: Systematic Learning

I want to systematically learn "requirements analysis". This is the first article:
[Article content]

Please use Systems Thinking to help me:
- Build a knowledge map for this domain
- Find connections to other areas
- Identify related concepts I should learn

Scenario 6: Team Discussion Preparation

My team will discuss this article. Please prepare:
1. 3-minute summary of core points
2. 5 discussion questions
3. 3 real-world application scenarios

📚 Included Thinking Frameworks

The skill includes detailed reference documentation for 10+ frameworks:

Core Frameworks

SCQA - McKinsey's structure thinking (Situation-Complication-Question-Answer)
5W2H Analysis - Completeness check with 7 key questions

Analysis Frameworks

Critical Thinking - Argument evaluation, logical fallacy detection, evidence assessment
Inversion Thinking - Charlie Munger's risk analysis ("how to fail?")
Mental Models - 30+ models from physics, biology, psychology, economics (Munger approach)

Deep Thinking Frameworks

First Principles - Elon Musk's assumption stripping and essence extraction
Systems Thinking - Causal loops, feedback mechanisms, leverage points
Six Thinking Hats - Edward de Bono's multi-perspective protocol

Output Support

Multiple Output Templates - 8 different formats for various needs
Comparison Matrix - Cross-source analysis methodology

💡 Tips & Best Practices

✅ Recommended Practices

Be Clear About Your Goal - Tell Claude your reading purpose (learning/problem-solving/reference)
Break Down Long Articles - Analyze sections first for very long content
Ask Questions - Actively raise doubts during analysis
Practice Validation - Request actionable implementation plans
Build Connections - Ask to relate content to your existing knowledge

❌ Things to Avoid

Don't analyze too many articles at once (recommend ≤3)
Don't expect the skill to replace reading (it's an enhancement tool)
Don't ignore critical questions raised by the analysis
Don't just collect notes without practicing

🎓 Output Formats

The skill can generate various output formats:

Learning Notes - Structured personal notes with key insights and action items
Concept Map - Visual knowledge structure
Argument Analysis - Detailed evaluation of argumentation quality
Practice Plan - Executable implementation roadmap
Comparison Matrix - Systematic cross-source comparison
Quick Reference Card - One-page summary of key points
Sharing Content - Polished summary for others
Teaching Outline - Content structured for explaining to others

🔍 Advanced Usage

Combining with Other Tools

Use this skill to analyze the article, then:
1. Create a formatted learning note with docx skill
2. Make a knowledge tracking sheet with xlsx skill
3. Create a presentation with pptx skill

Building Personal Knowledge Base

I want to systematically learn product management. Please:
1. Analyze the 10 articles I provide
2. Build a knowledge framework
3. Find relationships between key concepts
4. Generate a learning path

Integration with Other Frameworks

You can request combinations of frameworks:

Please analyze this article using:
1. SCQA to understand the structure
2. Mental Models for multi-angle analysis
3. Inversion Thinking to identify risks

❓ FAQ

Q: Can the skill read web links directly? A: Yes! Claude can use web_fetch to retrieve web content.

Q: How long does analysis take? A: Depends on depth level - from 15 minutes (Quick) to 120+ minutes (Research).

Q: Can I use only one specific framework? A: Absolutely! Just explicitly tell Claude which framework you want.

Q: Does it support non-English content? A: Yes! It supports multiple languages including Chinese, English, and more.

Q: How to make analysis more relevant to my needs? A: Provide more context - your background, reading purpose, focus areas, etc.

Q: What's new in version 2.0? A: Added 4 major frameworks: SCQA (McKinsey), 5W2H Analysis, Mental Models (30+ models), and Inversion Thinking. Total framework count increased from 6 to 10+.

🛠️ Technical Details

Repository Structure:

deep-reading-analyst-skill/
├── src/                               # Source files (edit these)
│   └── deep-reading-analyst/
│       ├── SKILL.md                   # Core workflow and instructions
│       └── references/                # Thinking framework references
│           ├── scqa_framework.md      # Structure thinking (v2.0)
│           ├── 5w2h_analysis.md       # Completeness check (v2.0)
│           ├── critical_thinking.md   # Argument analysis
│           ├── inversion_thinking.md  # Risk analysis (v2.0)
│           ├── mental_models.md       # Multi-discipline models (v2.0)
│           ├── first_principles.md    # Essence extraction
│           ├── systems_thinking.md    # Relationship mapping
│           ├── six_hats.md           # Multi-perspective protocol
│           ├── output_templates.md    # Note formats
│           └── comparison_matrix.md   # Cross-article analysis
├── build.sh                           # Build script to package skill
└── deep-reading-analyst.skill         # Built skill file (ready to import)

For Contributors:

Edit files in src/deep-reading-analyst/
Run ./build.sh to rebuild the skill package
Test by importing the .skill file into Claude
See CONTRIBUTING.md for details

Package Size: ~40KB (optimized for context window efficiency)

📖 Reference Documentation

All frameworks include detailed documentation inside the skill:

scqa_framework.md - McKinsey's structure thinking method
5w2h_analysis.md - Systematic 7-question analysis
mental_models.md - 30+ cross-disciplinary models
inversion_thinking.md - Risk and failure mode analysis
critical_thinking.md - Argument evaluation framework
first_principles.md - Essence extraction methodology
systems_thinking.md - Systems analysis toolbox
six_hats.md - Multi-perspective thinking guide
output_templates.md - 8 output format templates
comparison_matrix.md - Multi-source comparison method

🤝 Contributing

Contributions are welcome! Please see CONTRIBUTING.md for details.

Ideas for contributions:

Additional thinking frameworks
More output templates
Use case examples
Translations
Bug reports and feature requests

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

Inspired by:

Charlie Munger - Mental Models and Inversion Thinking
McKinsey & Company - SCQA Framework
Edward de Bono - Six Thinking Hats
Donella Meadows - Systems Thinking
Ray Dalio - Principles
Richard Feynman - Learning Technique
Elon Musk - First Principles Thinking

📧 Contact & Support

Issues: GitHub Issues
Discussions: GitHub Discussions

⭐ Star History

If you find this skill useful, please consider giving it a star! ⭐

Made with ❤️ for deep learners and critical thinkers