paper-analyzer

Extract structured insights from CS/AI research papers into Markdown notes.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/xiaoyu-ops/the_work_of_dedup --skill paper-analyzer-xiaoyu-ops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-analyzer
Source: https://github.com/xiaoyu-ops/the_work_of_dedup/tree/main/.claude/skills/paper-analyzer
Command: npx skills add https://github.com/xiaoyu-ops/the_work_of_dedup --skill paper-analyzer-xiaoyu-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automatically analyzes a single research paper to produce comprehensive Markdown notes, including figures, evaluation, and a structured workflow for integrating results into a knowledge graph.

Core Features & Use Cases

  • Deep analysis of a single paper to generate structured notes with figures and architecture diagrams.
  • Update the knowledge graph with paper relationships and provenance.
  • Generates notes suitable for Obsidian, enabling quick research workflows across CS AI domains.

Quick Start

Provide the paper ID or title to generate a structured note and update the knowledge graph.

Frequently Asked Questions about paper-analyzer

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

FAQPage Schema
How do I generate structured Markdown notes from an arxiv paper?

To generate structured Markdown notes from an arxiv paper, provide the paper ID or title. The analyzer reads the content and extracts deep insights including methodology, experiments, and results into a comprehensive note.

Can I automatically build a knowledge graph from research papers?

Yes, you can automatically build a knowledge graph from research papers. The analysis process extracts paper relationships and provenance, then updates the knowledge graph directly in your project workspace alongside the generated notes.

What is the best way to extract methodology and experiments from CS AI papers?

The best way to extract methodology and experiments from CS AI papers is using a structured note generator. It deep analyzes single research papers to pull out abstracts, architecture diagrams, and limitations into organized formats.

Does the generated paper analysis work with Obsidian?

Yes, the generated paper analysis works with Obsidian. It produces comprehensive Markdown notes complete with figures and structured workflows, making them highly suitable for integration into Obsidian research environments.

What limitations should I expect when analyzing a single research paper?

When analyzing a single research paper, limitations include its scope being restricted to CS and AI domains. It processes one paper at a time to generate notes and update the knowledge graph, rather than batch processing multiple documents.