
nature-paper-to-patent
Turn research papers or inventor materials into evidence-grounded Chinese invention patent drafts and technical disclosures. Use for 技术交底书、专利撰写、现有技术对比 and Chinese DOCX patent packages; not general manuscript writing.
- Installs
- 12.7K
- Last 24h
- +90
- Trending rank
- #2122
- Security
- Pass
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-paper-to-patent- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads nature-paper-to-patent automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
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Never infer inventorship, ownership, unpublished implementation details,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.
FAQ
What does the nature-paper-to-patent skill do?
Turn research papers or inventor materials into evidence-grounded Chinese invention patent drafts and technical disclosures. Use for 技术交底书、专利撰写、现有技术对比 and Chinese DOCX patent packages; not general manuscript writing.
How do I install nature-paper-to-patent?
Run npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-paper-to-patent in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/nature-paper-to-patent/ (personal) or .claude/skills/nature-paper-to-patent/ (project).
Which AI agents can use nature-paper-to-patent?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is nature-paper-to-patent safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains nature-paper-to-patent?
It is published by yuan1z0825 in yuan1z0825/nature-skills. It has 12,677 recorded installs.
More from yuan1z0825/nature-skills
nature-figure
yuan1z0825/nature-skills
Create, revise, audit, and export manuscript scientific figures in Python or R. Use for 论文配图、科研绘图、多面板图 and submission-ready plots, or explicitly requested AI-generated graphical abstracts and mechanism schematics. Not for interactive dashboards, data cleaning, or statistics-only analysis.
nature-polishing
yuan1z0825/nature-skills
Polish, translate, or tighten existing academic prose while preserving facts, terminology, and evidence boundaries. Use for 论文润色、学术翻译、正文精简, or manuscript LaTeX layout fixes. Use nature-writing when the main task is drafting new sections or rebuilding the manuscript argument.
nature-paper2ppt
yuan1z0825/nature-skills
Create or improve a Chinese academic PPTX from a scientific paper or research reading notes, with source figures and speaker notes. Use for 论文做PPT、文献汇报、组会PPT and paper-based conference or defense presentations.
nature-writing
yuan1z0825/nature-skills
Draft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to existing prose and nature-response for post-decision correspondence.
nature-citation
yuan1z0825/nature-skills
Find and verify Nature/CNS-family literature supporting manuscript claims, with claim-to-source mapping and reference-manager export. Use for Nature系列引用、CNS支撑文献、分段补引用 when this journal scope is requested; use broader literature search for unrestricted sources.
nature-data
yuan1z0825/nature-skills
Draft or audit manuscript Data/Code Availability statements, dataset access routes, repository plans, and FAIR metadata. Use for 数据可用性声明、数据共享、数据仓库选择 and dataset citations; not general data cleaning or statistical analysis.
Popular education & science skills
teach
mattpocock/skills
Teach the user a new skill or concept, within this workspace.
scaffold-exercises
mattpocock/skills
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
paper-context-resolver
lllllllama/rigorpilot-skills
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
caveman-learn
juliusbrussee/caveman
Act on a Caveman learn report - review the ranked token sinks, apply cost-lowering fixes with per-edit consent, and report what those fixes returned. Use when asked to lower an agent's token cost, what caveman has saved, to trim a heavy CLAUDE.md, or to offload re-pasted context into cavemem.
gsap-plugins
greensock/gsap-skills
Official GSAP skill for GSAP plugins — registration, ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG and physics plugins, CustomEase, EasePack, CustomWiggle, CustomBounce, GSDevTools. Use when the user asks about a GSAP plugin, scroll-to, flip animations, draggable, SVG drawing, or plugin registration.
teach-impeccable
pbakaus/impeccable
DEPRECATED: Use /impeccable teach instead. This command has been folded into the impeccable skill.