Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

embodiment-description实施例说明

Agent Skill

embodiment-description 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

840

周安装

34

GitHub Stars

7,812

下载量

264
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:embodiment-description(实施例说明)
来源仓库:https://github.com/wanshuiyin/auto-claude-code-research-in-sleep
仓库路径:skills/embodiment-description
安装命令:
npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill embodiment-description
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill embodiment-description

简介

用于撰写详细实施例,描述发明的实现方式与技术细节。

  • 适合专利申请或技术文档中提供可复现的 working example。
  • 支持生成完整示例或大纲形式,包含参考编号和组件说明。
  • 需输入专利披露内容,并遵循 MIN/MAX 实施例数量限制。
  • embodiment-description 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Embodiment Description

Write detailed embodiments for: $ARGUMENTS

Embodiments describe HOW to make and use the invention -- they are the patent equivalent of experiment sections, but describe the invention rather than evaluating it empirically.

Constants

  • MIN_EMBODIMENTS = 1 — At least one complete embodiment required
  • MAX_EMBODIMENTS = 3 — Practical limit; more embodiments strengthen enablement
  • EMBODIMENT_STYLE = detaileddetailed (full working example) or outline (sketch)
  • REFERENCE_NUMERAL_PREFIX = 100 — Starting reference numeral for first figure's components

Inputs

  1. patent/INVENTION_DISCLOSURE.md — invention decomposition (core/supporting/optional features)
  2. patent/CLAIMS.md — drafted claims that the embodiments must support
  3. User-provided figures (if any) in any directory
  4. patent/figures/numeral_index.md if it exists (from /figure-description)

Workflow

Step 1: Plan Embodiments

For each claim category (method, system, etc.), plan at least one embodiment:

EmbodimentCovers ClaimsTypeKey Variations
1Claims 1, XBest mode / preferred[primary implementation]
2Claims 2, 3Alternative[different parameters/materials]
3Claims 4, 5Additional alternative[different configuration]

Step 2: Write Each Embodiment

For each embodiment, write a detailed description following this structure:

Opening paragraph: "In one embodiment, [invention summary with reference to what is being described]."

Component/step-by-step description:

For method embodiments:

  • Describe each step in order
  • Reference figure numerals: "As shown in FIG. 1, at step 202, the processor 102 receives the input data 104..."
  • Include specific parameters, ranges, and conditions
  • Describe what happens at each decision point

For system/apparatus embodiments:

  • Describe each component
  • Reference figure numerals: "Referring to FIG. 1, the system 100 comprises a processor 102, a memory 104, and a communication interface 106..."
  • Describe interconnections between components
  • Describe operation of the system step-by-step

Variations and alternatives:

  • "In some embodiments, the processor 102 may be a GPU, an FPGA, or an ASIC."
  • "In another embodiment, the memory 104 may be replaced with a distributed storage system."
  • "The parameters described above are exemplary; other values within the range [X, Y] are also contemplated."

These variations are critical -- they support broader claim interpretation.

Step 3: Reference Numeral Integration

Ensure consistent reference numeral usage:

  1. Every component mentioned must have a numeral
  2. Numeral must appear first in parentheses after the component name: "the processor (102)"
  3. Subsequent references: "the processor 102" (no parentheses)
  4. Numbering follows figure series: 100-series for FIG. 1, 200-series for FIG. 2

Format:

  • First mention: "the processor (102)"
  • Later in same embodiment: "the processor 102"
  • Cross-figure: "the processor 102 (shown in both FIG. 1 and FIG. 2)"

Step 4: Claim Support Verification

For each claim element, verify it appears in at least one embodiment:

Claim ElementEmbodimentReference NumeralDescription Paragraph
[element][which][numeral][paragraph reference]

If any claim element lacks embodiment support, add the necessary description.

Step 5: Software/Algorithm Embodiments (if applicable)

For method/software inventions, include:

  • Pseudocode or algorithmic description (NOT actual code)
  • Flowchart description tied to figures
  • Data structure descriptions
  • Interface specifications

Example:

In one embodiment, the method comprises the following steps:
At step 202, the processor 102 receives input data from the input device 108.
At step 204, the processor 102 extracts feature vectors from the input data using a convolutional neural network.
At step 206, the processor 102 applies the attention mechanism 110 to the feature vectors...

Step 6: Output

Embodiment sections are written to patent/specification/detailed_description.md (or appended to the specification structure).

Each embodiment section should be self-contained but cross-reference other embodiments when describing alternatives.

Key Rules

  • Embodiments must teach a POSITA to make and use the invention without undue experimentation.
  • Include at least one "best mode" embodiment (US requirement).
  • Multiple embodiments strengthen the specification against enablement challenges.
  • Describe the invention, do NOT evaluate it empirically ("The embodiment achieves 95% accuracy" is wrong; "The processor classifies the input data" is correct).
  • CRITICAL — NO experimental data, test results, accuracy percentages, detection rates, precision values, or comparative performance data. These belong in papers, not patents. The embodiment teaches HOW to make and use, not HOW WELL it performs.
  • WRONG: "传感器对直径超过150μm的金属颗粒实现了100%的检测精度,即使在检测限处仍保持94%的高精度。"
  • RIGHT: "当不锈钢颗粒通过间隙传感区域时,谐振频率下降。颗粒直径越大,频率偏移幅度越大。"
  • Do NOT include tables of experimental results, graphs of measurement data, or comparisons with prior art performance.
  • CRITICAL — An embodiment is NOT an experiment. Do NOT describe "repeated experiments", "accuracy evaluation", "precision testing", "calibration experiments", or "comparison with reference methods". An embodiment describes ONE way to make and use the invention — it is a recipe, not a test report.
  • Do NOT copy experimental sections from source papers verbatim. Transform the experimental setup into a manufacturing/operation description.
  • If the source material is a paper, extract ONLY: (1) what was built, (2) what materials/parameters were used, (3) how it operates. Ignore all test methodology, results, and performance metrics.
  • Include specific parameters where possible, but frame them as exemplary, not limiting.
  • Reference numerals must be consistent with the figures.
  • Do NOT use subjective language ("excellent", "surprising", "superior").

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.36%
按下载量换算91

Claude

30.2%
按下载量换算80

Cursor

20.07%
按下载量换算53

Gemini CLI

10.69%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills