paper-to-note

Convert research PDFs into evidence-backed Obsidian Markdown notes.

5|1|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/hixz12d/paper-to-note --skill paper-to-note
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-to-note
Source: https://github.com/hixz12d/paper-to-note/tree/main
Command: npx skills add https://github.com/hixz12d/paper-to-note --skill paper-to-note

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Paper-to-Note converts research PDFs into structured, evidence-backed Obsidian Markdown notes, enabling fast verification and knowledge consolidation.

Core Features & Use Cases

  • Paper-type routing (experimental + DL)
  • Figure-argument-path analysis to reconstruct the argument behind figures
  • Structured extraction of experiments, model training details, and benchmarks
  • Interactive mode to capture "My Understandings" for later refinement

Quick Start

Copy the paper-to-note skill into Claude Code's skills directory and run /paper-to-note <path-to-pdf> to generate a complete notes draft.

Frequently Asked Questions about paper-to-note

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

FAQPage Schema
How do I convert research PDFs into Obsidian Markdown notes?

You convert research PDFs into Obsidian Markdown notes by routing the paper by type to extract structured experimental and training details, producing evidence-backed Markdown files for note consolidation.

What is figure-argument-path analysis for deep-learning papers?

Figure-argument-path analysis reconstructs the argument behind figures in deep-learning papers, providing a verification path that links visual evidence to structured Markdown extraction for quick review.

How do I extract experimental details and benchmarks from research papers?

You extract experimental details and benchmarks by applying paper-type routing to the PDF, which separates experimental and deep-learning tracks to capture structured training details and model benchmarks into Markdown.

Does paper-to-note work with experimental and deep-learning research papers?

Yes, paper-to-note works with experimental and deep-learning research papers by routing the PDF into specific tracks to extract structured experimental and model training details for Obsidian-ready Markdown output.

Do I need MinerU preprocessing to turn PDFs into Markdown?

MinerU preprocessing is optional for turning PDFs into Markdown, but the skill requires an SKILL.md frontmatter with name and description to properly route the paper and generate the structured notes.