✅ 9-Step Learning Flow - Complete process from goal setting to knowledge mastery
✅ Recursive Questioning Framework - 5 sub-steps for deep understanding
✅ Aha Moment Tracking - Document breakthrough insights
✅ Practical Examples - Real-world learning scenarios (Diffusion Models, Machine Learning)
✅ File Organization Templates - Structured directory for learning materials
✅ Spaced Repetition Plan - Long-term retention strategy

🚀 Quick Start

Installation

# Install via ClawHub
clawhub install rootcraft-learning-system

Usage

When you want to learn something new, simply say:

"I want to learn..."
"How to learn efficiently..."
"Help me create a study plan..."
"This concept is unclear..."

The system will guide you through the 9-step learning flow.

📚 Core Methodology

Step 1-3: Foundation

Define goals and evaluation criteria
Apply first principles thinking
Build taxonomy-based classification

Step 4: Deep Understanding (Core)

The Feynman Technique with Recursive Questioning:

4.1 Start with a Real Problem
4.2 Generate Questions Through Practice
4.3 Recursive Downward Questioning
4.4 Restate in Your Own Words
4.5 Chase the "Aha!" Moments

Step 5-9: Consolidation

Multi-perspective learning
Practice & application
Feedback & iteration
Continuous review
Mind mapping & notes

💡 Example: Learning Diffusion Models

Recursive Questioning Chain

Q: "Why do we add noise gradually?"
→ A: "To create a tractable path between data and noise"

Q: "What does 'tractable path' mean?"
→ A: "A path we can reverse mathematically"

Q: "Why do we need to reverse it?"
→ A: "Because generation = going from noise back to data"

💡 AHA! "Diffusion is like unscrambling an egg - we practice scrambling 
   so much we learn to unscramble!"

📁 File Structure

study/{topic}/
├── 01-goals.md              # Learning goals and evaluation criteria
├── 02-first-principles.md   # First principles analysis
├── 03-taxonomy.md           # Knowledge taxonomy tree
├── 04-feynman.md            # Feynman explanation notes
├── 04b-recursive-questions.md # Question chains and answers
├── 04c-aha-moments.md       # Breakthrough insights log
├── 05-resources.md          # Learning resources list
├── 06-projects.md           # Practice projects
├── 07-feedback.md           # Feedback and iteration records
├── 08-review.md             # Spaced review plan
└── 09-mindmap.md            # Mind mapping source file

🛠️ Recommended Tools

Mind Mapping: XMind, MindNode, Obsidian
Note-taking: Notion, Obsidian, Evernote
Spaced Repetition: Anki, RemNote
Pomodoro Timer: Forest, Focus

📝 Version History

Version	Date	Changes
1.0.0	2026-04-30	Official release - Integrated First Principles, Taxonomy Classification, Feynman Technique, and Recursive Questioning into 9-step learning flow with "Aha Moment" tracking
0.1.0	2024-XX-XX	Original Chinese version "格物本质赋能学习法" launched

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

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

🙏 Acknowledgments

First Principles Thinking - Aristotle, Elon Musk
Feynman Technique - Richard Feynman
Taxonomy-Based Classification - MECE Principle
Recursive Questioning - Socratic Method

Made with ❤️ by Zhang Quan