book-interactive-learning

What problem does it solve?

This Skill helps you stop passively reading a book in the author’s order and instead build an efficient learning path based on your specific blind spots.

Core Features & Use Cases

• Blind-spot diagnosis: Generates 4 diagnostic questions to reveal “you think you understand but you don’t” gaps and produces a saved diagnostic report.
• Skeleton-driven deep reading: Builds a chapter/argument skeleton with source line numbers and marks what can be skipped—without skipping the “skeleton” step.
• Adaptive unit learning: Creates learning units using a template (core concept + Socratic questions + Feynman check), then advances based on mastery level while updating progress.

Use case examples:

• You have a specific problem from work and want the most relevant parts of a book first.
• You want to turn book reading into a resumable, testable interactive learning loop rather than one-shot notes.

Quick Start

Tell the AI: “I want to learn《思考，快与慢》 using interactive learning; start with diagnosis and ask me the 4 questions.”