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Guide · Open source

How to use patent-disclosure-skill: setup and Chinese patent drafting

Updated · written with AI from the project's own documentation and checked against our catalogue data

patent-disclosure-skill is an open-source set of skills for AI coding agents that focuses on Chinese patents. It can turn project materials into a patent disclosure document for an invention, utility model or design, explain published patents in plain language, and help draft replies to patent office review opinions. This guide covers what the project is, how to get the repository, what each skill is for, and where it does not fit.

中国专利.skillhandsomestWei/patent-disclosure-skill · ★ 12.7k · MIT

Quick start

  1. 1Check Python. Confirm you have Python 3.9 or newer installed, as stated in the project's prerequisites.
  2. 2Clone the repository. Run the git clone command from the README to download the project.
  3. 3Read INSTALL.md. Follow the detailed installation steps in the repository's INSTALL.md file.
  4. 4Load the skills in your agent. Make the skill folders available to your AI coding agent, as described in SKILL.md.
  5. 5Pick a skill. Choose patent-disclosure, patent-reader, patent-oa or another sub-skill based on your task.
  6. 6Review outputs. Check the generated files and drafts yourself before relying on them.

What patent-disclosure-skill does

The project is a collection of skills, not a standalone app. Each skill is meant to be used from an AI coding agent environment. The README lists several sub-skills, including patent-disclosure for writing disclosure documents, patent-reader for plain-language reading, patent-oa for review-opinion replies, and patent-chart for claim comparison tables.

  • patent-disclosure: turns materials into a disclosure document (invention, utility model or design)
  • patent-reader: turns a publication number or PDF into plain-language notes and graphs
  • patent-oa: breaks down review opinion clauses and drafts reply text
  • patent-chart: builds an Excel claim comparison table; the README says it does not constitute legal opinion
  • patent-exam-policy: summarises recent CNIPA policy news into a brief

Check requirements and clone the repository

The source states Python 3.9+ as a prerequisite. The README points to INSTALL.md for detailed installation steps, which this guide does not repeat. The only install command given in the source is the clone command below.

  • Confirm Python 3.9 or newer is available
  • Make sure you have an AI agent environment where skills can be loaded
  • Read INSTALL.md in the repository for the full setup
git clone https://github.com/handsomestWei/patent-disclosure-skill

Write a patent disclosure document from project materials

Start with the patent-disclosure skill. The README describes it as a way to pull out the points worth protecting from design documents and code, check prior art, and produce a disclosure document. Outputs are described as timestamped files in an outputs folder, with mermaid diagram directories and revision history when you iterate.

The README also mentions that after a first version is finalised, you can do a protection-oriented 1+N patent layout. Check the patent-disclosure README in the repository for the exact trigger phrases and steps.

  • Gather design documents, code descriptions and structure or appearance drawings
  • Ask the agent to write the disclosure, using the trigger word the skill documents (the README lists 「交底书」)
  • Review the timestamped output and iterate; earlier versions are kept

Read a Chinese patent in plain language with Obsidian

The patent-reader skill converts a single patent into plain-language notes and graphs. The README says these can be stored in Obsidian, where notes are linked and shown in a graph view. Obsidian setup for Windows, including optional community plugins, is documented in skills/patent-reader/docs/obsidian-setup-guide.md.

The README describes this as a way to build a private, linked patent knowledge base over time. It is optional: you need Obsidian only if you want the linked note system.

  • Provide a publication number or PDF
  • Store the resulting notes in your Obsidian vault
  • Use the graph view to see links between terms, claims and figures

Draft a reply to a patent office review opinion

The patent-oa skill is for review opinions (审查意见). According to the README it breaks down clauses, answers questions and drafts a reply. It can also store historical cases in anonymised form so the agent can compare with past approaches.

Treat the draft as a starting point. The README says these tools are aids rather than professional patent services, so a patent agent should check the reply.

  • Paste or load the review opinion text
  • Ask for clause-by-clause questions and a draft reply
  • Check the draft with a qualified patent agent before filing

What people use it for

  • Turning a software or hardware design document into a first draft of a Chinese invention disclosure
  • Reading a published Chinese patent in plain language and saving linked notes in Obsidian
  • Breaking down a patent office review opinion and drafting a reply for a patent agent to check
  • Building a claim comparison table in Excel against prior art or a product

Frequently asked questions

Is patent-disclosure-skill free to use?

The repository is released under the MIT licence, as shown in the README and the project's badge. The MIT licence permits use, and the README footer names the author as the copyright holder.

What do I need to run patent-disclosure-skill?

The source states Python 3.9+ as a prerequisite. You also need an AI agent environment, because the project is structured as skills for such agents.

How do I install patent-disclosure-skill?

The README gives the command git clone https://github.com/handsomestWei/patent-disclosure-skill. For the remaining setup, the README points to INSTALL.md.

Does it work with English patents?

No. The project is focused on Chinese patent practice, and the README says it is not for anyone expecting English-language patent coverage.

Can I use it as legal advice?

No. The README says the patent-chart output does not constitute legal opinion, and the tools are aids rather than professional patent services.

Are there alternatives or comparable projects?

The analysis for this listing records no comparable projects. For Chinese patent drafting you would normally work with a qualified patent agent, and the README itself frames the tools as aids.

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Our verdict

patent-disclosure-skill suits engineers drafting Chinese patent disclosures, readers who want plain-language patent notes, and Obsidian users who want a linked private knowledge base. It is a poor fit if you do not use an AI agent environment, need English patent coverage, or want legal advice; for filings and review replies, have a patent agent check the output.

Install options & downloads