analyze-paper

Extract metadata and generate structured markdown notes from research paper PDFs.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/groundnuty/macf-devops-toolkit --skill analyze-paper-groundnuty
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-paper
Source: https://github.com/groundnuty/macf-devops-toolkit/tree/main/.claude/profiles/paper/skills/analyze-paper
Command: npx skills add https://github.com/groundnuty/macf-devops-toolkit --skill analyze-paper-groundnuty

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers convert a research paper PDF into structured, easily navigable notes for literature reviews and state-of-the-art positioning.

Core Features & Use Cases

  • Automated note extraction: Converts key metadata and content from the PDF into a consistent note template.
  • Structured synthesis: Produces a reusable notes file that supports quick comparison across papers.
  • Use Case: Ideal for building a literature review corpus where each paper yields a standardized note with title, authors, venue, DOI, and summary.

Quick Start

Provide the path to the PDF to analyze, and the skill will generate a structured note in the notes/papers/ directory.

Frequently Asked Questions about analyze-paper

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

FAQPage Schema
How do I generate structured notes from a research paper PDF for a literature review?

To generate structured notes from a research paper PDF, provide the file path to the skill, which analyzes the document and outputs a standardized markdown note with metadata, content summary, and citations to notes/papers/.

What is the best way to extract metadata and key findings from multiple research papers?

The best way to extract metadata and findings from multiple research papers is sequential PDF processing, which applies a consistent note template to each document, recording title, authors, venue, DOI, and summary for quick comparison.

Can I process multiple PDFs sequentially to build a state-of-the-art literature review corpus?

Yes, you can process multiple PDFs sequentially to build a literature review corpus, applying a consistent note template to each paper to support quick comparison and state-of-the-art positioning across documents.

Does the generated literature note include DOI and venue information?

Yes, the generated literature note includes DOI and venue information, alongside the title, authors, and a structured content summary, ensuring standardized metadata extraction for every analyzed paper.

What format are the analyzed research paper notes saved in?

The analyzed research paper notes are saved in properly formatted markdown files, stored automatically in the notes/papers/ directory to ensure navigability and reusability for your literature review.