AI Summary

Overview

中国专利.skill is a powerful AI-driven tool designed to streamline and enhance the entire patent lifecycle, from initial invention disclosure to post-application support. It empowers technical professionals to effortlessly generate patent disclosure documents, understand complex patents, stay ahead of policy changes, and effectively respond to examination feedback.

Key Features

  • Automated Patent Disclosure Generation: Seamlessly creates disclosure documents for invention patents, utility models, and design patents. Supports automatic extraction of patentable points from project documentation and code, generation of necessary diagrams (Mermaid flowcharts, structural line art, exterior design drafts), prior art searching, and drafting of the disclosure document in both Markdown and .docx formats.
  • Simplified Patent Understanding: Transforms dense, technical patent documents into easily digestible narratives, knowledge graphs (integrating with Obsidian), and annotated summaries. This feature highlights key claims, terminology, and supporting figures, making complex patents accessible and fostering the creation of a personal, interconnected patent knowledge base.
  • Proactive Policy Monitoring: Acts as a "policy radar" by scanning official sources for recent policy updates and examination trends. It provides actionable insights and reference materials to help users adapt their patent strategies and disclosure practices accordingly, ensuring compliance and relevance.
  • Enhanced Examination Response: Assists in crafting robust responses to patent office examinations. It automates the process of documenting historical examination cases, creates a searchable knowledge base of past responses, and leverages this experience to draft preliminary arguments for new examination notices, potentially integrating with local RAG knowledge bases for highly tailored support.
  • Visual Aid Generation: Automatically generates line art for design patents from product images and structural line art with component numbering for utility models from technical drawings or CAD models. It can also extract isometric and multi-view projections from 3D CAD models.

Typical Use Cases

  • R&D Engineers & Inventors: Quickly and accurately draft patent disclosures without prior patent writing experience. Generate comprehensive documents from project materials, ensuring technical contributions are properly documented and filed.
  • Patent Professionals & Agents: Augment existing workflows by automating repetitive tasks like prior art searching, document formatting, and initial drafting. Utilize the policy monitoring feature to provide clients with up-to-date strategic advice.
  • Intellectual Property Managers: Gain a deeper, more accessible understanding of the patent landscape by simplifying complex patent documents. Leverage the tool to build a robust internal knowledge base for patent analysis and strategy development.
  • Legal Teams & Patent Examiners: Expedite the process of responding to examination opinions by utilizing the AI's ability to analyze past cases and draft preliminary responses based on established experience and legal frameworks.

Repository Trajectory

Trended #12 on weekly

September 8, 2026

Trended #20 on weekly

September 4, 2026

Trended #10 on daily

September 2, 2026

Trended #14 on daily

September 1, 2026

Trended #13 on daily

August 31, 2026

First tracked on GitTrend

August 31, 2026

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About

中国专利.skill:专利点挖掘与交底书(发明/实用/外观)编写,通俗解读专利,嗅探政策动向,辅助审查答复。

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Topics

chinese

disclosure

patent

obsidian

skill

Contributors

Languages

Python

100%