专利权利要求自动标号

SKILL效率
效率 未标注权限 许可证不明确
安装这个技能

Extract independent claims from a patent (by patent number or document), map each technical feature to its specification reference numeral, annotate the claim text with (N) markers in the Chinese-patent convention, and produce a top-original / bottom-Chinese-translation bilingual comparison with a proper-noun glossary. This skill should be used when a user supplies a patent number/PDF and asks to (a) identify independent claims, (b) add reference-number annotations to claim features, (c) generate a Chinese translation in a top-bottom side-by-side layout, or (d) any combination. Trigger phrases include "提取独立权利要求", "给权要加附图标记", "中英对照", "权要标号", "专利翻译", "independent claims", "reference numerals".

一句话选型结论

按资料字段整理

专利权利要求自动标号是效率类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类效率 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_e4117405/patent-claim-number
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

效率
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_e4117405仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-11-06上游最后核验时间 · 数据更新 2026-11-06
正文体量5.7 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
整理待办与日程

把零散任务收进清单,排出优先级。

批量处理重复任务

把固定动作做成模板,重复执行。

把流程写成清单

把口头流程整理成可复用的步骤。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在效率场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
专利权利要求自动标号当前 未标注权限 未标注 未标注 未标注 有
Nano PDF 文档 联网访问 ClawHub 市场 424.9 万 OpenClaw 有
自动更新程序 浏览器控制 ClawHub 市场 296.4 万 OpenClaw 有
Gemini 助手 联网访问 ClawHub 市场 254.7 万 OpenClaw 有
word DOCX 文档 联网访问 ClawHub 市场 239.6 万 OpenClaw 有
Excel XLSX 前端 联网访问 ClawHub 市场 227.0 万 OpenClaw 有

SKILL.md 全文

5.7 KB
模型实际读到的说明书原文,来自技能仓库

Patent Claim → Chinese Bilingual Annotated Comparison

Turn a patent's independent claims into a Chinese-convention deliverable: each
feature carries its specification reference numeral (N), and the result is shown
as English original (top) / Chinese translation (bottom) per claim, with a
proper-noun glossary.

When to use

  • User gives a patent number (e.g. US12636975B2) or uploads a patent PDF and asks
    to extract independent claims, annotate features with reference numerals, translate
    to Chinese, or produce a top/bottom bilingual layout.
  • User says "中英对照", "权要标号", "独立权利要求", "给特征加附图标记", etc.

Workflow

Follow these steps in order. Skip a step only if the user explicitly scopes it out.

Step 1 — Fetch the full patent text

  1. Prefer the connected PatSnap connector mcp__patsnap-search__patsnap_fetch:
    - keys=[<patent_number>], key_type="pn", module=["basic"],
    include_structured=true.
    - This returns bibliographic + full claims + description. The structured payload
    is the most reliable source.
  2. Do not rely on WebFetch for Google Patents / USPTO PDF — it is frequently
    blocked or returns only the abstract.
  3. Do not use curl for the PDF — the Bash sandbox has no network (exit 7).

Step 2 — Recover the fetched payload into the workspace

The connector result may be persisted to a protected path that the Read tool
cannot open directly.

  1. Copy it into the workspace with PowerShell (Bash cp / coreutils are often
    missing in this environment):
    powershell Copy-Item -Path "<protected-path>" -Destination "E:\05-WorkBuddy\<session>\patent_struct.json" -Force
  2. The claims/description fields are long single lines that get truncated by Read.
    Use the managed Python to slice them out:
    bash PYTHONPATH="C:\Users\Administrator\.workbuddy\binaries\python\envs\default\Lib\site-packages" \ "C:\Users\Administrator\.workbuddy\binaries\python\versions\3.13.12\python.exe" extract.py
    See references/workflow.md for the extraction snippet.

Step 3 — Identify independent claims

  • Independent claims open with A/An <subject> comprising: and do not reference
    any other claim.
  • Dependent claims begin The <subject> of claim N, wherein ... (or according to claim N). Record which claim each dependent claim cites; the cited roots are the
    independent claims.
  • Extract the verbatim text of every independent claim (preserve English exactly).

Step 4 — Map features to reference numerals

  • US claims usually carry no numerals. Pull the numerals from the first
    embodiment
    in the detailed description (most complete set, e.g. FIG. 1–2).
  • Search the description for phrases like vehicle body 3, floor 9,
    first seat base 41, second seat bottom 32, armrest 34, contact portion 61.
  • For a generalized claim feature (e.g. claim 14 "a seat"), pick the
    representative embodiment (e.g. rear seat 31/32/33) and explicitly note the
    alternative (front seat 27/28/29) in the deliverable.
  • Composite surfaces keep the spec's own label (e.g. loading surface (SF1)).

Step 5 — Annotate and translate (top / bottom layout)

For each independent claim, emit two blocks:

英文原文(带附图标记): the verbatim English, with (N) inserted after each
feature word. Repeat the numeral every time the feature recurs (Chinese-patent
style: vehicle body(3), second seat bottom(32)). Do not alter the English.

中文译文: sentence-by-sentence Chinese translation directly below. Keep
terminology consistent across claims (e.g. seat bottom→座垫, seat back→椅背,
loading surface→装载面, normal/retracted position→正常使用位置/收起位置).

Step 6 — Proper-noun glossary

At the end, add a table preserving verbatim originals + Chinese notes:
US12636975B2, KAWASAKI MOTORS, LTD., SF1, and any non-standard translated
term (e.g. developable ← Japanese 展開可能, meaning "可展开/可转换" — flag it
explicitly so it is not misread).

Step 7 — Deliver

Write the result to a Markdown file in the workspace (e.g.
<pn>_独立权利要求_中英对照.md) and call present_files.

Notes / extensions

  • To also annotate dependent claims (2–13, 15–17, …), apply Steps 4–6 per claim;
    the same numeral set from the first embodiment usually carries over.
  • If the user wants Word/DOCX output, route the Markdown through the
    tencent-docx skill after this step.
  • See references/example-us12636975b2.md for a fully worked mapping, and
    assets/template_bilingual.md for the output skeleton.

常见问题

5 问
答案由本站依据条目字段整理
专利权利要求自动标号怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_e4117405/patent-claim-number。安装方式为未标注。装完刷新技能列表或重开客户端。

专利权利要求自动标号支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

专利权利要求自动标号权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

专利权利要求自动标号收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

专利权利要求自动标号用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-11-06。