nature-paper-to-patent
Convert scientific papers, theses, technical reports, source code, figures, inventor notes, or research manuscripts into evidence-grounded Chinese invention patent drafts and attorney-facing technical disclosure materials. Use when an AI agent must mine patent points, draft or revise a Chinese techn
By yuan1z0825 · 8,368 installs
npx skills add yuan1z0825/nature-skills --skill nature-paper-to-patent
Source repository · Upstream listing
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Never infer inventorship, ownership, unpublished implementation details,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:
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.