Agent skill

Deep Reading Analyst

by ginobefun in ginobefun/deep-reading-analyst-skill

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…

MITAuto-check passedEducation

Install Deep Reading Analyst

skills CLI
$ npx skills add ginobefun/deep-reading-analyst-skill --skill deep-reading-analyst -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ginobefun/deep-reading-analyst-skill deep-reading-analyst --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ginobefun/deep-reading-analyst-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/deep-reading-analyst .claude/skills/deep-reading-analyst && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
deep-reading-analyst
GitHub stars
353
Used in
5 other repos
Token cost
~3.6k tokens
SKILL.md length
806 words
Files
11 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 5 steps: Initialize Analysis → Structural Understanding → Apply Thinking Models → …
  • Deeply understand complex articles/content
  • SKILL.md covers Framework Arsenal, Workflow Decision Tree, Step 1: Initialize Analysis and Step 2: Structural Understanding, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Deep Reading Analyst is an agent skill from ginobefun/deep-reading-analyst-skill. 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 materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `references/5w2h_analysis.md`, `references/comparison_matrix.md` and `references/critical_thinking.md`).

It sits in Education, covering Study guides and flashcards. The repository describes itself as: A professional Claude AI skill for deep reading analysis. The licence is MIT.

When your agent uses it

  • Deeply understand complex articles/content
  • Analyze arguments and identify logical flaws
  • Extract actionable insights from reading materials
  • Create study notes

Example prompts

  • “analyze this article,”
  • “help me understand,”
  • “deep dive into,”
  • “/deep-reading-analyst”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Initialize Analysis
  2. Structural Understanding
  3. Apply Thinking Models
  4. Synthesis & Output
  5. Knowledge Activation

What it can do on your machine

Read from SKILL.md and the folder at commit 26cd7dc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Deep Reading Analyst loads about 3.6k tokens when it runs, and up to ~23k if it reads all its reference files. Until then it costs about 198 tokens; SKILL.md has 806 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~198
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~23k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ginobefun/deep-reading-analyst-skill at commit 26cd7dc, republished under its MIT licence (© ginobefun). 806 words, ~3,608 tokens.

Download SKILL.mdSave it as .claude/skills/deep-reading-analyst/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
deep-reading-analyst
description
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 materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'use [framework name],' or when users provide URLs/long-form content for analysis.

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
  2. "How deep do you want to go?"
    • Quick (15min) / Standard (30min) / Deep (60min) / Research (120min+)
  3. "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:

markdown
📄 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
markdown
📄 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:

markdown
## 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:

markdown
## 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
markdown
## 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)
markdown
## 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 | | └─────────<────────────────┘

Leverage point: [Where small change = big impact]


### Six Hats Perspective:
🤍 Facts: [Objective data]
❤️ Feelings: [Intuitive response]
🖤 Cautions: [Risks and downsides]
💛 Benefits: [Positive aspects]
💚 Ideas: [Creative alternatives]
💙 Process: [Meta-thinking]
Level 4 (Research - 120 min+)

Add: Cross-source comparison via web_search

Use web_search to find 2-3 related sources, then:

  • Load references/comparison_matrix.md
  • Compare SCQA across sources
  • Identify consensus vs. divergence
  • Synthesize integrated perspective
markdown
## Multi-Source Analysis

### Source 1: [This article]
S-C-Q-A: [Summary]
Key claim: [...]

### Source 2: [Found article]
S-C-Q-A: [Summary]
Key claim: [...]

### Source 3: [Found article]
S-C-Q-A: [Summary]
Key claim: [...]

## Synthesis

**Consensus**: [What all agree on]
**Divergence**: [Where they differ]
**Unique value**: [What each contributes]
**Integrated view**: [Your synthesis]

Step 4: Synthesis & Output

Generate based on user goal:

For Problem-Solving:
markdown
## Applicable Solutions
[Extract 2-3 methods from content]

## Application Plan
Problem: [User's specific issue]
Relevant insights: [From analysis]

Action steps:
1. [Concrete action with timeline]
2. [Concrete action with timeline]
3. [Concrete action with timeline]

Success metrics: [How to measure]

## Risk Mitigation (from Inversion)
Potential failure points:
- [Point 1] → Prevent by: [...]
- [Point 2] → Prevent by: [...]
For Learning:
markdown
## Learning Notes

Core concepts (explained simply):
1. **[Concept 1]**: [Definition + Example]
2. **[Concept 2]**: [Definition + Example]

Mental models gained:
- [Model 1]: [How it works]

Connections to prior knowledge:
- [Link to something user already knows]

## Deeper Understanding (First Principles)
Fundamental question: [...]
Core principle: [...]

## Verification Questions
1. [Question to test understanding]
2. [Question to test application]
3. [Question to test evaluation]
For Writing Reference:
markdown
## Key Arguments & Evidence
[Structured extraction with page/paragraph numbers]

## Quotable Insights
"[Quote 1]" — Context: [...]
"[Quote 2]" — Context: [...]

## Critical Analysis Notes
Strengths: [For citing]
Limitations: [For balanced discussion]

## Alternative Perspectives (from Mental Models)
[What other disciplines would say about this]

## Gaps & Counterfactuals
What the article doesn't address:
- [Gap 1]
- [Gap 2]
For Decision-Making:
markdown
## Decision Framework

Options presented: [A / B / C]

Multi-model evaluation:
- Economic lens: [...]
- Risk lens (Inversion): [...]
- Systems lens: [...]

## Six Hats Decision Analysis
🤍 Facts: [Objective comparison]
🖤 Risks: [What could go wrong]
💛 Benefits: [Upside potential]
💚 Alternatives: [Other options not considered]
💙 Recommendation: [Synthesized advice]

## Scenario Analysis (from Inversion)
Best case: [...]
Worst case: [...]
Most likely: [...]

Step 5: Knowledge Activation

Always end with:

markdown
## 🎯 Immediate Takeaways (Top 3)

1. **[Insight 1]**
   Why it matters: [Personal relevance]
   One action: [Specific, time-bound]

2. **[Insight 2]**
   Why it matters: [Personal relevance]
   One action: [Specific, time-bound]

3. **[Insight 3]**
   Why it matters: [Personal relevance]
   One action: [Specific, time-bound]

## 💡 Quick Win
[One thing to try in next 24 hours - make it TINY and SPECIFIC]

## 🔗 Next Steps

**To deepen understanding:**
[ ] Further reading: [If relevant]
[ ] Apply framework X to topic Y
[ ] Discuss with: [Who could add perspective]

**To apply:**
[ ] Experiment: [Test in real context]
[ ] Teach: [Explain to someone else]
[ ] Combine: [Mix with another idea]

## 🧭 Thinking Models Used
[Checkboxes showing which frameworks were applied]
✅ SCQA ✅ 5W2H ✅ Critical Thinking ✅ Inversion
□ Mental Models □ First Principles □ Systems □ Six Hats

Quality Standards

Every analysis must:

  • ✅ Stay faithful to original content (no misrepresentation)
  • ✅ Distinguish facts from opinions
  • ✅ Provide concrete examples
  • ✅ Apply frameworks appropriately (not force-fit)
  • ✅ Connect to user's context when possible
  • ✅ End with actionable steps
  • ✅ Cite specific sections (paragraph numbers, quotes)

Avoid:

  • ❌ Overwhelming with all frameworks at once (respect depth level)
  • ❌ Academic jargon without explanation
  • ❌ Analysis without application
  • ❌ Copying text verbatim (always reword for understanding)
  • ❌ Using frameworks superficially (go deep, not wide)
Show full SKILL.md (316 more words)Show less

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?"
  • Meta: "Which thinking model helped you most? Why?"

Adapt to signals:

  • User asks "what's the main point?" → They want conciseness, use SCQA
  • User challenges your analysis → Lean into Critical Thinking + Inversion
  • User asks "how do I use this?" → Focus on application + First Principles
  • User wants "multiple perspectives" → Use Six Hats or Mental Models
  • User mentions "risks" → Apply Inversion Thinking
  • User asks "how does this connect?" → Use Systems Thinking

Framework suggestions during conversation:

  • "Would you like me to apply [X framework] to this point?"
  • "This seems like a good place for inversion thinking - want to explore failure modes?"
  • "I notice several mental models at play here, want me to unpack them?"

Reference Materials

Core Frameworks (All Levels)
  • references/scqa_framework.md - Structure thinking (S-C-Q-A)
  • references/5w2h_analysis.md - Completeness check (7 questions)
Standard Level Frameworks
  • references/critical_thinking.md - Argument analysis
  • references/inversion_thinking.md - Risk and failure mode analysis
Deep Level Frameworks
  • references/mental_models.md - Multi-discipline model library
  • references/first_principles.md - Essence extraction method
  • references/systems_thinking.md - Relationship mapping
  • references/six_hats.md - Multi-perspective protocol
Output Formats
  • references/output_templates.md - Note format examples
  • references/comparison_matrix.md - Cross-article analysis

Advanced Usage

Custom Framework Combinations

User can request specific combinations:

  • "Use SCQA + Inversion" - Structure with risk analysis
  • "Apply Mental Models + Systems Thinking" - Multi-lens system analysis
  • "5W2H + Critical Thinking" - Completeness + quality check
Iterative Deepening

Start with Level 1, then ask:

  • "Want to go deeper on any part?"
  • "Which framework would be most valuable here?"
  • "Should we do an inversion analysis of this solution?"
Domain-Specific Optimizations

Business/Strategy: SCQA + Mental Models (economics) + Inversion Technical/Research: 5W2H + First Principles + Critical Thinking Personal Development: Six Hats + Inversion + Systems Decision-Making: Mental Models + Inversion + SCQA Creative: Six Hats + First Principles + Mental Models


Remember: The goal is insight, not framework completion. Use frameworks as tools to reveal understanding, not as checklists to complete. Quality of thinking > quantity of frameworks applied.

© ginobefun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (references) in src/deep-reading-analyst of ginobefun/deep-reading-analyst-skill.

  • SKILL.md
  • references/5w2h_analysis.md
  • references/comparison_matrix.md
  • references/critical_thinking.md
  • references/first_principles.md
  • references/inversion_thinking.md
  • references/mental_models.md
  • references/output_templates.md
  • references/scqa_framework.md
  • references/six_hats.md
  • references/systems_thinking.md

Open the folder on GitHubat commit 26cd7dc

Used in 5 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in ginobefun/deep-reading-analyst-skill, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Categories

Questions about Deep Reading Analyst

What does Deep Reading Analyst do?

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…. Deep Reading Analyst is an agent skill from ginobefun/deep-reading-analyst-skill. 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).

When should I use Deep Reading Analyst?

Deep Reading Analyst fits situations like: deeply understand complex articles/content; analyze arguments and identify logical flaws; extract actionable insights from reading materials; create study notes.

How do I install Deep Reading Analyst in Claude Code?

Run `npx skills add ginobefun/deep-reading-analyst-skill --skill deep-reading-analyst -a claude-code`. Or copy the skill folder (src/deep-reading-analyst in ginobefun/deep-reading-analyst-skill) into .claude/skills/deep-reading-analyst in your project. Claude Code loads it when a task matches its description.

How do I install Deep Reading Analyst in Codex?

Run `npx skills add ginobefun/deep-reading-analyst-skill --skill deep-reading-analyst -a codex`. Or copy the skill folder (src/deep-reading-analyst in ginobefun/deep-reading-analyst-skill) into .agents/skills/deep-reading-analyst in your project. Codex loads it when a task matches its description.

Can I use Deep Reading Analyst in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ginobefun/deep-reading-analyst-skill --skill deep-reading-analyst -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-reading-analyst, .gemini/skills/deep-reading-analyst, .github/skills/deep-reading-analyst and .opencode/skills/deep-reading-analyst in your project.

What does Deep Reading Analyst need to run?

SKILL.md names no scripts, command-line tools or credentials: Deep Reading Analyst is instructions for the agent only.

Does Deep Reading Analyst access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Deep Reading Analyst safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Deep Reading Analyst use?

Deep Reading Analyst is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deep Reading Analyst use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 19k tokens, read only when the agent opens those files.

What are the alternatives to Deep Reading Analyst?

Skills that share tags, products or a category with Deep Reading Analyst: Nihaisha (JuneYaooo/nihaisha-nishi-tcm, 2.2k stars), Claude Certification Tutor (rohitg00/ai-engineering-from-scratch, 66k stars), StudyVault Quiz Tutor (bevibing/tutor-skills, 1.3k stars) and Project Mastery Coach (tudoumashu/ai-memory-skillpack, 422 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deep Reading Analyst?

ginobefun (a GitHub user) maintains it in ginobefun/deep-reading-analyst-skill, which has 353 GitHub stars. The repository was last updated on November 4, 2025.

Source: ginobefun/deep-reading-analyst-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.