paper-analyzer

Parse academic paper PDFs into structured Markdown and HTML formats.

5|1|Updated Feb 21, 2026

Search Tags:#pdf #markdown #html #article generation #academic paper #formula extraction #miner u

Ready to run

npx skills add https://github.com/jdnichollsc/google-nvidia-learn --skill paper-analyzer-jdnichollsc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paper-analyzer
Source: https://github.com/jdnichollsc/google-nvidia-learn/tree/main/skills/paper-analyzer
Command: npx skills add https://github.com/jdnichollsc/google-nvidia-learn --skill paper-analyzer-jdnichollsc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, markdown, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of converting dense academic papers into engaging, multi-style technical articles, complete with optional formula explanations and code analysis.

Core Features & Use Cases

High-Precision PDF Parsing: Utilizes the MinerU Cloud API to accurately extract text, images, tables, and formulas from PDFs.
Multiple Writing Styles: Generates articles in storytelling, academic, or concise formats to suit different audiences and purposes.
Optional Enhancements: Includes detailed formula explanations and analysis of associated GitHub code.
Use Case: Convert a complex research paper into a blog post for a wider audience, a concise summary for a quick overview, or a detailed academic report.

Quick Start

Use the paper-analyzer skill to convert the PDF located at /path/to/your/paper.pdf into a storytelling-style article with formula explanations.

Frequently Asked Questions about paper-analyzer

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

FAQPage Schema

How do I convert an academic paper PDF into a structured Markdown article?▼

PDF parsing for academic papers requires the MinerU Cloud API to accurately extract text, images, tables, and formulas, alongside Python libraries to handle the subsequent Markdown and HTML generation from the extracted content.

How do I extract formulas and tables from a research paper PDF?▼

You extract formulas and tables from a research paper PDF by submitting the file to the MinerU Cloud API, which isolates these elements during parsing and allows the Skill to generate optional detailed formula explanations within the final HTML or Markdown article.

Can I generate a storytelling style article from a dense academic paper?▼

Yes, you can generate a storytelling style article from an academic paper by specifying the desired writing format during processing, transforming dense research text into an engaging blog post suitable for a wider audience.

Does this PDF to Markdown conversion approach support GitHub code analysis?▼

Yes, the PDF to Markdown conversion supports optional GitHub code analysis, allowing you to analyze associated code repositories alongside the extracted text and formula explanations when generating the final technical article.

What is the best way to create a concise summary from an academic PDF?▼

The best way to create a concise summary from an academic PDF is to use a parsing tool that extracts structural elements like formulas and tables, then apply a concise writing style template to generate a brief Markdown overview.