nature-paper-to-patent

Convert academic papers into Chinese invention patent drafts.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/SunS1eep1ng/codex-dotfiles --skill nature-paper-to-patent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nature-paper-to-patent
Source: https://github.com/SunS1eep1ng/codex-dotfiles/tree/main/skills/nature-paper-to-patent
Command: npx skills add https://github.com/SunS1eep1ng/codex-dotfiles --skill nature-paper-to-patent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires latex2mathml, Pillow, pypdf, python-docx, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill converts scientific papers and technical documents into high-quality, evidence-based Chinese patent drafts, facilitating the patent application process.

Core Features & Use Cases

  • Automated Conversion: Converts papers, reports, and source code into structured patent drafts.
  • Feature Extraction: Extracts technical contributions and maps them to patent requirements.
  • Customization: Supports various document types, invention types, and drafting styles.
  • Use Case: For researchers or tech teams looking to convert their academic work into a patentable invention.

Quick Start

Run the skill with the following command: use nature-paper-to-patent -input paper.pdf

Frequently Asked Questions about nature-paper-to-patent

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

FAQPage Schema
How do I convert an academic paper into a Chinese invention patent draft?

To convert an academic paper into a Chinese invention patent draft, this Skill uses Python for structured text processing and data extraction. It maps technical contributions from your document to meet specific patent formatting requirements.

Can I extract text from a PDF document to generate a patent draft?

Yes, you can extract text from a PDF document to generate a patent draft. The Skill utilizes the pypdf library for PDF text extraction, handling technical documents and source code to produce structured Chinese invention patent drafts.

Does the patent drafting tool support processing LaTeX math formulas?

Yes, the patent drafting tool supports processing LaTeX math formulas by utilizing the latex2mathml dependency. This ensures accurate extraction and conversion of mathematical expressions during the evidence-based patent drafting process.

What is the best way to map technical contributions to patent requirements?

The best way to map technical contributions to patent requirements is using automated feature extraction. This Skill identifies key technical contributions from scientific papers and maps them directly to structured invention patent formatting requirements.

Do I need Python libraries to process academic documents for patent conversion?

Yes, you need Python libraries to process academic documents for patent conversion. The Skill requires dependencies like python-docx, pypdf, Pillow, and latex2mathml for parsing, OCR, and formatting technical data into evidence-based drafts.