From nature-skills
Converts scientific papers, theses, and technical reports into evidence-grounded Chinese invention patent drafts. Maps every claimed feature to source evidence, preserves formulas as editable Office Math, generates flowcharts, and produces separate Chinese DOCX files for claims, specification, abstract, and abstract figure.
How this skill is triggered — by the user, by Claude, or both
Slash command
/nature-skills:nature-paper-to-patentThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this file as the router for the patent-drafting workflow. Do not draft the
README.mdevals/evals.jsonmanifest.yamlreferences/cn-patent-drafting-guide.mdreferences/corpus-derived-patterns.mdreferences/corpus-pair-audit.mdreferences/draft-schema.mdreferences/patent-figure-guide.mdrequirements.txtscripts/audit_claims.pyscripts/build_patent_package.pyscripts/extract_pdf_text.pyscripts/init_patent_project.pyscripts/math_to_omml.pyscripts/render_flowchart_svg.pyscripts/render_patent_docx.pyscripts/validate_patent_draft.pystatic/core/output-contract.mdstatic/core/principles.mdstatic/core/workflow.mdUse this file as the router for the patent-drafting workflow. Do not draft the application directly from the paper abstract or contribution list.
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.
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Never infer inventorship, ownership, unpublished implementation details,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.
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.
Agent-facing analysis may use the user's preferred language. Produce formal Chinese patent deliverables in Chinese:
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.
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.
npx claudepluginhub yuan1z0825/nature-skills --plugin nature-skillsSearches prior art via SerpAPI, Exa.ai, or WebSearch and generates Chinese patent application forms from invention descriptions in AI/XR/software-hardware domains.
Creates complete USPTO-ready patent applications from invention disclosure: prior art search, claims drafting, specification writing, diagrams, abstract, compliance checks, and IDS preparation.
Generates draft materials for Chinese software copyright registration and patent applications, including code/document formatting, patentability screening, and claims drafting. Outputs require professional review.