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.