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paper-recommended-questions

Extract text from PDFs and generate three technical questions.

5|Updated Mar 23, 2026
Search Tags:#pdf#text extraction#academic research#question generation#ai analysis
One-click install
npx skills add https://github.com/scholarclaw/skills --skill paper-recommended-questions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-recommended-questions
Source: https://github.com/scholarclaw/skills/tree/main/skills/paper-recommended-questions
Command: npx skills add https://github.com/scholarclaw/skills --skill paper-recommended-questions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyMuPDF==1.26.1, jinja2==3.1.2, and includes scripts (resource) and references (resource) components.

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

Frequently Asked Questions about paper-recommended-questions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate discussion questions from a research paper PDF?▼

To generate discussion questions from a PDF, this Skill uses PyMuPDF to extract text and a language model to produce three technical questions. It automates text extraction and question generation to help you quickly analyze academic studies.

Can I use PyMuPDF to extract text for academic research analysis?▼

Yes, you can use PyMuPDF to extract text for academic research analysis. This Skill relies on PyMuPDF version 1.26.1 to read PDF files and prepare the text content for generating in-depth technical study questions.

What is the best way to understand the key points of an academic PDF?▼

The best way to understand key points of an academic PDF is to generate targeted technical questions. This Skill extracts text from your document and creates three thought-provoking questions to facilitate in-depth understanding of the research.

How do I extract text and create study questions from a PDF file?▼

To extract text and create study questions from a PDF file, run the Skill with your file path. It uses PyMuPDF for text extraction and a structured prompt with a language model to generate three insightful questions for academic analysis.

Does this PDF question generation tool work with any language model?▼

This PDF question generation tool requires a language model capable of structured prompt-based text generation. While PyMuPDF handles extracting the PDF text, the model processes the extracted content to output the three technical questions.

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