Agent skill · Content & Marketing

deep-reading-analyst

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

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill deep-reading-analyst --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Path: skills/analysis/deep-reading-analyst/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 │ 120mi

What's inside
Steps it walks through
  1. Framework Arsenal
  2. Quick Analysis (15min)
  3. Standard Analysis (30min)
  4. Deep Analysis (60min)
  5. Research Analysis (120min+)
  6. Workflow Decision Tree
  7. Step 1: Initialize Analysis
  8. Framework Selection Guide
  9. Step 2: Structural Understanding
  10. Phase 2A: Basic Structure
  11. Phase 2B: SCQA Analysis (Quick Framework)
  12. Phase 2C: 5W2H Completeness Check (if Level 1+)
  13. Step 3: Apply Thinking Models
  14. Level 1 (Quick - 15 min)
Ships with 1 file
  • metadata.json
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About this skill
What does the deep-reading-analyst skill 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 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

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill deep-reading-analyst --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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