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Skills/yuan1z0825/nature-skills/nature-paper-to-patent
nature-paper-to-patent logo

nature-paper-to-patent

yuan1z0825/nature-skills
250 installs22K stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-paper-to-patent

Summary

Convert scientific papers, theses, technical reports, source code, figures, or research manuscripts into evidence-grounded Chinese invention patent drafts. Use when an AI agent must extract patentable technical contributions, map every claimed feature to source evidence, preserve core formulas as editable Office Math, generate claim-aligned flowcharts and methodology figures, compare a paper with an existing patent, audit support and consistency, or deliver separate Chinese DOCX files for claims, specification, abstract, and abstract figure.

SKILL.md

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, 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Never infer inventorship, ownership, unpublished implementation details, publication dates, prior-art conclusions, or legal sufficiency.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

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 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:

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

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

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.

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

Score

0–100
60/ 100

Grade

C

Popularity12/30

250 installs — early traction. Source repo has 22,230 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Nature Paper To Patent skill score badge previewScore badge

Markdown

[![Nature Paper To Patent skill](https://www.claudemarket.ai/skills/yuan1z0825/nature-skills/nature-paper-to-patent/badges/score.svg)](https://www.claudemarket.ai/skills/yuan1z0825/nature-skills/nature-paper-to-patent)

HTML

<a href="https://www.claudemarket.ai/skills/yuan1z0825/nature-skills/nature-paper-to-patent"><img src="https://www.claudemarket.ai/skills/yuan1z0825/nature-skills/nature-paper-to-patent/badges/score.svg" alt="Nature Paper To Patent skill"/></a>

Nature Paper To Patent FAQ

How do I install the Nature Paper To Patent skill?

Run “npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-paper-to-patent” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Nature Paper To Patent skill do?

Convert scientific papers, theses, technical reports, source code, figures, or research manuscripts into evidence-grounded Chinese invention patent drafts. Use when an AI agent must extract patentable technical contributions, map every claimed feature to source evidence, preserve core formulas as editable Office Math, generate claim-aligned flowcharts and methodology figures, compare a paper with an existing patent, audit support and consistency, or deliver separate Chinese DOCX files for claims, specification, abstract, and abstract figure. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Nature Paper To Patent skill free?

Yes. Nature Paper To Patent is a free, open-source skill published from yuan1z0825/nature-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Nature Paper To Patent work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Nature Paper To Patent works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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