paper-analyze

Analyze scholarly papers to generate three Markdown notes and a Canvas visualization.

5|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/JaneHuang1833/claude-code-paper-skills --skill paper-analyze-janehuang1833
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-analyze
Source: https://github.com/JaneHuang1833/claude-code-paper-skills/tree/main/paper-analyze
Command: npx skills add https://github.com/JaneHuang1833/claude-code-paper-skills --skill paper-analyze-janehuang1833

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

For researchers, deeply analyzing a single paper is time-consuming and risks missing key insights. This Skill automates the process by generating three Markdown note versions and a Canvas visualization to help extract motivation, methods, results, and conclusions quickly.

Core Features & Use Cases

  • Three note versions: Logic-focused, plain-language, and structured summaries covering motivation, approach, and experiments.
  • Canvas visualization: Visualizes the research logic chain to clarify relationships and flows.
  • Broad applicability: Supports arXiv, arbitrary PDF links, and local PDFs for flexible workflows.
  • Output format: Produces梳理.md, 梳理(结构).md, 通俗易懂.md, and 可视化.canvas with optional image assets.

Quick Start

Run the analysis on a specified paper to automatically generate three note versions and a Canvas visualization.

Frequently Asked Questions about paper-analyze

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

FAQPage Schema
How do I analyze an arXiv paper and generate visual notes?

You can analyze an arXiv paper by providing its link to automatically generate three Markdown notes and a Canvas visualization. The Skill extracts motivation, methods, experiments, and conclusions, outputting structured summaries covering the research logic.

Can I extract motivation and methods from a local PDF for research notes?

Yes, you can analyze local PDFs alongside arXiv links to extract motivation and methods. The Skill processes local PDF files to generate three versions of Markdown notes and a Canvas visualization detailing the research logic.

What is the best way to visualize paper logic chains and relationships?

The best way to visualize paper logic chains is by generating a Canvas visualization. This Skill creates a visual canvas that clarifies the relationships and flows within the research, complementing the three Markdown note versions.

Does the paper analysis output include different note formats?

Yes, the paper analysis output includes three distinct note formats. It generates logic-focused, plain-language, and structured Markdown notes, covering motivation, approach, and experiments to ensure comprehensive understanding.

What are the limitations when analyzing arbitrary PDF links for notes?

When analyzing arbitrary PDF links, the Skill includes robust error handling to manage extraction issues. However, complex or non-standard PDF structures may affect the quality of the generated Markdown notes and Canvas visualization.