Academic Reader - 学术阅读助手#
An AI-powered academic reading assistant that transforms technical books into actionable knowledge.
Features#
- Chapter-by-Chapter Analysis: Automatically extracts core concepts from each chapter
- Critical Thinking Prompts: Goes beyond summaries to encourage deep reflection
- Personal Integration: Helps connect book's ideas to your own work and growth
- Engineering Cybernetics Method: Uses control theory frameworks for systematic learning
Use Cases#
- Reading Technical Books: Get structured summaries and analysis of academic/technical content
- Self-Reflection: Use the book's ideas to反思 your own thinking and work
- Knowledge Extraction: Convert dense technical content into actionable insights
- Learning Acceleration: Quickly grasp complex concepts with guided analysis
How It Works#
This skill uses a structured reading methodology inspired by Qian Xuesen's "Engineering Cybernetics":
- Core Concepts Extraction: Identify the key ideas in each chapter
- Theoretical Framework: Understand the theory's structure and logic
- Critical Analysis: Evaluate the theory's strengths, limitations, and assumptions
- Personal Integration: Connect ideas to your own context and goals
Requirements#
- OpenClaw installed and configured
- Access to Claude API (Sonnet recommended for analysis tasks)
- A technical/academic book you want to read
Installation#
bash
clawhub install academic-reader
Usage#
After installation, ask the AI to help you read a book using this methodology:
text
帮我分析[书名],用工程控制论的方法论
Or use the included prompts in the prompts/ folder for specific reading tasks.
Included Files#
SKILL.md - This file
prompts/ - Ready-made prompts for different reading tasks
config/ - Configuration templates
README.md - Detailed usage guide
Credits#
Methodology inspired by Qian Xuesen's "Engineering Cybernetics" (1954)
Skill created by holli
License#
MIT