paper-recommended-questions
OfficialGenerate insightful questions from PDFs, enhance academic understanding.
Authorscholarclaw
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of extracting text from PDF files and generating three thought-provoking questions that delve into the technical aspects of the study, saving time and enhancing academic research.
Core Features & Use Cases
- PDF Text Extraction: Extracts text from PDF files efficiently.
- Question Generation: Generates three questions that explore the study in depth.
- Use Case: Ideal for researchers who need to quickly understand the key points of a paper and generate discussion questions.
Quick Start
Run the paper-recommended-questions skill with the path to your PDF file: @openclaw paper-recommended-questions /path/to/research-paper.pdf
Dependency Matrix
Required Modules
PyMuPDF==1.26.1jinja2==3.1.2
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: paper-recommended-questions Download link: https://github.com/scholarclaw/skills/archive/main.zip#paper-recommended-questions Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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