Deep Reading Analyst

Transforms surface-level reading into deep learning through systematic analysis using proven thinking frameworks. Guides users from understanding to application.

Workflow Decision Tree

User provides content
    ↓
Ask: Purpose + Depth Level
    ↓
┌─────────────┬─────────────┬─────────────┬─────────────┐
│  Level 1    │  Level 2    │  Level 3    │  Level 4    │
│  Quick      │  Standard   │  Deep       │  Research   │
│  15min      │  30min      │  60min      │  120min+    │
└─────────────┴─────────────┴─────────────┴─────────────┘
    ↓             ↓             ↓             ↓
Structure    + Critical    + Systems     + Cross-source
  Only         Thinking     + 6 Hats      Comparison

Step 1: Initialize Analysis

Ask User:

1. "What's your main goal for reading this?" (problem-solving / learning / writing / curiosity)
2. "Preferred depth?" (Quick / Standard / Deep / Research)
3. "Any specific focus areas?"

Default if no response: Level 2 (Standard mode)

Step 2: Structural Understanding

Always start here regardless of depth level.

Extract and present:

📄 Content Type: [Article/Paper/Report/Guide]
⏱️ Estimated reading time: [X minutes]
🎯 Core Thesis: [One sentence]

Structure:
├─ Main Argument 1
│   ├─ Supporting point 1.1
│   └─ Supporting point 1.2
├─ Main Argument 2
└─ Main Argument 3

Key Concepts: [3-5 terms]
High-Value Sections: [Paragraph/chapter numbers]

Step 3: Apply Thinking Models

Select based on depth level:

Level 1 (Quick): Structure + Key Insights

• Skip detailed analysis
• Provide: Structure + TOP 3 insights + 1 action item

Level 2 (Standard): + Critical Thinking

Load references/critical_thinking.md and apply:

• Argument quality assessment
• Logic flaw identification
• Evidence evaluation
• Alternative perspectives

Level 3 (Deep): + First Principles + Systems Thinking

Additionally load:

• references/first_principles.md - Strip to essence
• references/systems_thinking.md - Build connections
• references/six_hats.md - Multi-perspective analysis

Level 4 (Research): + Cross-source Comparison

Use web_search to find related sources and compare viewpoints.

Step 4: Synthesis & Output

Generate based on user goal:

For Problem-Solving:

## Applicable Solutions
[Extract 2-3 methods from content]

## Application Plan
Problem: [User's specific issue]
Relevant insight: [From content]
Action steps: [Concrete 1-2-3]
Expected outcome: [Measurable]

For Learning:

## Learning Notes
Core concepts: [Reworded in user's language]
Mental models: [Visualized relationships]
Connections to prior knowledge: [Link to what user knows]

## Verification Questions
[3 questions to test understanding]

For Writing Reference:

## Key Arguments & Evidence
[Structured extraction]

## Quotable Insights
[3-5 powerful statements with context]

## Counterfactuals
[What the article doesn't address]

Step 5: Knowledge Activation

Always end with:

## 🎯 Immediate Takeaways (Top 3)
1. [Insight] → Why it matters → One action

## 💡 Quick Win
[One thing to try in next 24 hours]

## 🔗 Next Steps
[ ] Further reading: [If relevant]
[ ] Discuss: [Questions for others]
[ ] Experiment: [Test in real context]

Quality Standards

Every analysis must:

• ✅ Stay faithful to original content (no misrepresentation)
• ✅ Distinguish facts from opinions
• ✅ Provide concrete examples
• ✅ Connect to user's context when possible
• ✅ End with actionable steps

Avoid:

• ❌ Overwhelming with all frameworks at once
• ❌ Academic jargon without explanation
• ❌ Analysis without application
• ❌ Copying text verbatim (always reword)

Interaction Patterns

Progressive questioning:

• Understanding: "What do you think the author means by X?"
• Critical: "Do you see any gaps in this argument?"
• Application: "How might you use this in your work?"

Adapt to signals:

• User asks "what's the main point?" → They want conciseness, reduce detail
• User challenges your analysis → Lean into critical thinking
• User asks "how do I use this?" → Focus on application section

Output Format Templates

Load when needed:

• references/output_templates.md - Formatted note structures
• references/comparison_matrix.md - Multi-source analysis format

Reference Materials

Detailed thinking model explanations:

• references/critical_thinking.md - Argument analysis framework
• references/first_principles.md - Essence extraction method
• references/systems_thinking.md - Relationship mapping
• references/six_hats.md - Multi-perspective protocol
• references/output_templates.md - Note format examples
• references/comparison_matrix.md - Cross-article analysis