paper-extraction

Extract structured equations, sections, references, and figures from academic PDFs into Markdown or data.

1|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/IndianBoy42/dot-opencode --skill paper-extraction
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-extraction
Source: https://github.com/IndianBoy42/dot-opencode/tree/main/skills/paper-extraction
Command: npx skills add https://github.com/IndianBoy42/dot-opencode --skill paper-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracts structured content from academic and scientific papers — equations, algorithms, section text, references, and figures — for software implementation or analysis.

Core Features & Use Cases

  • Extract equations, algorithms, or pseudocode from research papers.
  • Pull parameter values, experimental results, or model specifications.
  • Convert papers to structured Markdown for implementation workflows.

Quick Start

Load this skill and provide a PDF to extract structured content from the paper.

Frequently Asked Questions about paper-extraction

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

FAQPage Schema
How do I extract equations and references from a research paper PDF?

To extract equations and references from a research paper PDF, load this skill and provide the document to parse scientific content into structured Markdown. It pulls section text, figures, algorithms, and citations for downstream analysis.

Can I convert a scientific PDF to Markdown for implementation workflows?

Yes, you can convert a scientific PDF to Markdown for implementation workflows by processing the document with this skill. It extracts structured content including model specifications, parameter values, and pseudocode into organized Markdown.

Do I need a PDF-processing backend like pdfplumber or pymupdf to extract structured content?

Yes, extracting structured content from academic papers requires a compatible PDF-processing backend such as pdfplumber or pymupdf. These dependencies are necessary to parse the PDF and convert it into structured outputs.

What is the best way to pull parameter values and experimental results from academic papers?

The best way to pull parameter values and experimental results from academic papers is using a structured content extraction skill. It processes the scientific PDF and isolates specific data points, model specifications, and section text for analysis.

Does this paper extraction approach work with literature reviews and research articles?

Yes, this paper extraction approach works with literature reviews and research articles. It applies to processing scientific PDFs by extracting sections, equations, figures, and references into structured data formats for review.