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Deep Reading Analyst

skill-ginobefun-deep-reading-analyst-skill-deep-reading-analyst · by ginobefun

Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materia…

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Install

$ agentstack add skill-ginobefun-deep-reading-analyst-skill-deep-reading-analyst

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Deep Reading Analyst

Transforms surface-level reading into deep learning through systematic analysis using 10+ proven thinking frameworks. Guides users from understanding to application through structured workflows.

Framework Arsenal

Quick Analysis (15min)

  • 📋 SCQA - Structure thinking (Situation-Complication-Question-Answer)
  • 🔍 5W2H - Completeness check (What, Why, Who, When, Where, How, How much)

Standard Analysis (30min)

  • 🎯 Critical Thinking - Argument evaluation
  • 🔄 Inversion Thinking - Risk identification

Deep Analysis (60min)

  • 🧠 Mental Models - Multi-perspective analysis (physics, biology, psychology, economics)
  • First Principles - Essence extraction
  • 🔗 Systems Thinking - Relationship mapping
  • 🎨 Six Thinking Hats - Structured creativity

Research Analysis (120min+)

  • 📊 Cross-Source Comparison - Multi-article synthesis

Workflow Decision Tree

User provides content
    ↓
Ask: Purpose + Depth Level + Preferred Frameworks
    ↓
┌─────────────────┬─────────────────┬─────────────────┬─────────────────┐
│   Level 1       │   Level 2       │   Level 3       │   Level 4       │
│   Quick         │   Standard      │   Deep          │   Research      │
│   15min         │   30min         │   60min         │   120min+       │
├─────────────────┼─────────────────┼─────────────────┼─────────────────┤
│ • SCQA          │ Level 1 +       │ Level 2 +       │ Level 3 +       │
│ • 5W2H          │ • Critical      │ • Mental Models │ • Cross-source  │
│ • Structure     │ • Inversion     │ • First Princ.  │ • Web search    │
│                 │                 │ • Systems       │ • Synthesis     │
│                 │                 │ • Six Hats      │                 │
└─────────────────┴─────────────────┴─────────────────┴─────────────────┘

Step 1: Initialize Analysis

Ask User (conversationally):

  1. "What's your main goal for reading this?"
  • Problem-solving / Learning / Writing / Decision-making / Curiosity
  1. "How deep do you want to go?"
  • Quick (15min) / Standard (30min) / Deep (60min) / Research (120min+)
  1. "Any specific frameworks you'd like to use?"
  • Suggest based on content type (see Framework Selection Guide below)

Default if no response: Level 2 (Standard mode) with auto-selected frameworks

Framework Selection Guide

Based on content type, auto-suggest:

📄 Strategy/Business articles → SCQA + Mental Models + Inversion
📊 Research papers → 5W2H + Critical Thinking + Systems Thinking
💡 How-to guides → SCQA + 5W2H + First Principles
🎯 Opinion pieces → Critical Thinking + Inversion + Six Hats
📈 Case studies → SCQA + Mental Models + Systems Thinking

Step 2: Structural Understanding

Always start here regardless of depth level.

Phase 2A: Basic Structure

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

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

Key Concepts: [3-5 terms with brief definitions]

Phase 2B: SCQA Analysis (Quick Framework)

Load references/scqa_framework.md and apply:

## SCQA Structure

**S (Situation)**: [Background/context the article establishes]
**C (Complication)**: [Problem/challenge identified]
**Q (Question)**: [Core question being addressed]
**A (Answer)**: [Main solution/conclusion]

📊 Structure Quality:
- Clarity: [★★★★☆]
- Logic flow: [★★★★★]
- Completeness: [★★★☆☆]

Phase 2C: 5W2H Completeness Check (if Level 1+)

Quick scan using references/5w2h_analysis.md:

## Information Completeness

✅ Well-covered: [What, Why, How]
⚠️  Partially covered: [Who, When]
❌ Missing: [Where, How much]

🔴 Critical gaps: [List 1-2 most important missing pieces]

Step 3: Apply Thinking Models

Select based on depth level and user preference:

Level 1 (Quick - 15 min)

Core: Structure + SCQA + 5W2H Quick Check

Output:

  • SCQA breakdown
  • Information gaps (from 5W2H)
  • TOP 3 insights
  • 1 immediate action item

Level 2 (Standard - 30 min)

Add: Critical Thinking + Inversion

Load and apply:

  • references/critical_thinking.md:
  • Argument quality assessment
  • Logic flaw identification
  • Evidence evaluation
  • Alternative perspectives
  • references/inversion_thinking.md:
  • How to ensure failure? (reverse the advice)
  • What assumptions if wrong?
  • Missing risks
  • Pre-mortem analysis
## Critical Analysis

### Argument Strength: [X/10]
Strengths:
- [Point 1]

Weaknesses:
- [Point 1]

Logical fallacies detected:
- [If any]

## Inversion Analysis

🚨 How this could fail:
1. [Failure mode 1] → Mitigation: [...]
2. [Failure mode 2] → Mitigation: [...]

Missing risk factors:
- [Risk 1]

Level 3 (Deep - 60 min)

Add: Mental Models + First Principles + Systems + Six Hats

Load and apply:

  • references/mental_models.md:
  • Select 3-5 relevant models from different disciplines
  • Apply each lens to the content
  • Identify cross-model insights
  • references/first_principles.md:
  • Strip to fundamental truths
  • Identify core assumptions
  • Rebuild understanding from base
  • references/systems_thinking.md:
  • Map relationships and feedback loops
  • Identify leverage points
  • See the big picture
  • references/six_hats.md:
  • White (facts), Red (feelings), Black (caution)
  • Yellow (benefits), Green (creativity), Blue (process)
## Multi-Model Analysis

### Mental Models Applied:
1. **[Model 1 from X discipline]**
   Insight: [...]

2. **[Model 2 from Y discipline]**
   Insight: [...]

3. **[Model 3 from Z discipline]**
   Insight: [...]

Cross-model pattern: [Key insight from combining models]

### First Principles Breakdown:
Core assumptions:
1. [Assumption 1] → Valid: [Yes/No/Conditional]
2. [Assumption 2] → Valid: [Yes/No/Conditional]

Fundamental truth: [What remains after stripping assumptions]

### Systems Map:

[Variable A] ──reinforces──> [Variable B] ↑ | | | balances reinforces | | └───────── quantity of frameworks applied.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.