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Paper to Chinese Patent

Free

Streamline your patent drafting from research materials.

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Free · Opens the source repo

What Paper to Chinese Patent does

The Paper to Chinese Patent skill is designed to assist researchers and inventors in converting scientific papers, theses, and technical reports into formal Chinese patent drafts and technical disclosures. This skill is particularly useful for those who need to draft or revise a Chinese technical disclosure (技术交底书) or conduct prior-art comparisons. It allows users to effectively map every claimed feature to supporting evidence while preserving core formulas as editable Office Math. The skill also generates claim-aligned flowcharts and methodology figures, ensuring that the patent application is well-structured and compliant with necessary legal standards.

The workflow starts by loading the necessary files and detecting the user's input format, task mode, and invention type. Users can select from various formats such as PDF or text, and choose tasks like full draft creation or disclosure analysis. The skill uses a structured approach to create stable source IDs for each component of the application, ensuring that every claim is backed by appropriate evidence. This meticulous mapping is crucial for maintaining the integrity of the patent application.

As users progress through the drafting stages, the skill enforces a series of checkpoints to validate the quality and completeness of the draft. This includes generating necessary Chinese formal documents like 权利要求书 and 说明书, as well as ensuring that all components are consistent and properly referenced. The final output is designed to facilitate review by inventors and patent professionals, although it does not provide a patentability opinion or guarantee of filing success.

This skill is ideal for inventors, researchers, and patent professionals who require a systematic approach to drafting patent applications in Chinese. It streamlines the complex process of patent drafting, making it more efficient and less prone to errors.

When to use it

Use this skill when you need to convert research documents into formal Chinese patent drafts or technical disclosures, especially when thorough evidence mapping is required.

When not to use it

This skill may not be suitable for users looking for a quick or informal patent application, as it focuses on detailed and structured drafting processes.

What you can build with it

Drafting from Research Papers

Transform a scientific research paper into a formal Chinese patent application, ensuring all claims are backed by evidence.

Creating Technical Disclosures

Generate a technical disclosure document from inventor notes, including detailed descriptions and flowcharts.

Conducting Prior-Art Comparisons

Use the skill to compare a new invention against existing patents, helping to identify unique features and potential overlaps.

How to install Paper to Chinese Patent

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1. Install with the skills CLI

npx skills add yuan1z0825/nature-skills/nature-paper-to-patent --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by yuan1z0825

Paper to Chinese Patent

Use this file as the router for the patent-drafting workflow. Do not draft the application directly from the paper abstract or contribution list.

1. Load the workflow

Read manifest.yaml, then read every file under always_load.

Detect these axes from the user's files and request:

  • source_format: selectable PDF, scanned PDF, pasted text, or mixed project;
  • task_mode: full draft, claim set, disclosure analysis, technical disclosure, disclosure iteration, or paper-patent audit;
  • invention_type: algorithm/software, apparatus/system, process/material, or mixed.

State the detected values in one short line. Load only the matching fragments declared in the manifest. Load detailed references only when their condition applies.

2. Preserve source grounding

Create stable source IDs before drafting:

  • P001... for paper text blocks;
  • E001... for equations;
  • F001... for source figures;
  • C001... for source-code or supplementary evidence.

Every material feature in a formal claim must map to one or more source IDs. Use only explicit, inherent, needs-confirmation, or unsupported as support states. Exclude unsupported features from formal claims.

Never infer inventorship, ownership, unpublished implementation details, publication dates, prior-art conclusions, or legal sufficiency. Use [TO CONFIRM: specific question] outside formal claims when facts are missing.

3. Draft through stage gates

For full-draft, claim-set, disclosure-analysis, and paper-patent-audit, complete the stages in static/core/workflow.md in order. Persist the intermediate artifacts specified there. Do not move to formal claims until the source map, terminology ledger, inventories, evidence ledger, and invention concept pass their gates.

For technical-disclosure, follow the ordered prompt references in static/fragments/task/technical-disclosure.md. For disclosure-iteration, follow static/fragments/task/disclosure-iteration.md and preserve the prior draft instead of restarting the formal application workflow.

For a full application, draft claims first, then align the specification, figures, embodiments, and abstract to the claim terminology and step order.

4. Produce Chinese formal documents

Agent-facing analysis may use the user's preferred language. Produce formal Chinese patent deliverables in Chinese when the task is a formal application package:

  • 权利要求书;
  • 说明书;
  • 说明书摘要;
  • 摘要附图;
  • figure labels and descriptions.

For technical-disclosure and disclosure-iteration, produce the Chinese technical disclosure (技术交底书) as timestamped Markdown plus matching DOCX, with Mermaid system/process diagrams rendered through scripts/disclosure/.

For algorithmic inventions, retain source-supported core formulas, define every symbol, explain each formula's technical operation, and render formulas as native editable Office Math in DOCX. Do not use plain LaTeX strings as the visible formula.

Generate the main flowchart from the ordered steps of the principal method claim. Its final node must name the concrete domain output, such as a defect detection result, target pose, state estimate, or control instruction. Reuse the same main figure as the abstract figure and a specification figure.

5. Validate before delivery

For formal application packages, populate the structured draft described in references/draft-schema.md, then run:

python scripts/validate_patent_draft.py draft.json
python scripts/build_patent_package.py draft.json --output-dir outputs --prefix patent

Resolve all validation ERROR findings. Review every WARNING against the source. Label the result incomplete draft when a required quality threshold in static/core/output-contract.md is not met.

For technical disclosures, run the internal checks in references/disclosure/disclosure_self_check.md, render Mermaid/Word outputs with scripts/disclosure/mermaid_render.py, and resolve formula, parameter, prior-art URL, and chapter-consistency issues before delivery.

The generated package is a drafting aid for inventor and patent-professional review, not a patentability opinion, infringement opinion, or filing guarantee.

Frequently asked questions about Paper to Chinese Patent

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