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embodiment-description

Write detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=wanshuiyin-auto-claude-code-research-in-sleep-skills-embodiment-description-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name embodiment-description description Write detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention. argument-hint [claims-path-or-embodiment-details] allowed-tools Bash(*), Read, Write, Edit, Grep, Glob 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 = detailed — detailed (full working example) or outline (sketch) REFERENCE_NUMERAL_PREFIX = 100 — Starting reference numeral for first figure's components Inputs patent/INVENTION_DISCLOSURE.md — invention decomposition (core/supporting/optional features) patent/CLAIMS.md — drafted claims that the embodiments must support User-provided figures (if any) in any directory 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: Embodiment Covers Claims Type Key Variations 1 Claims 1, X Best mode / preferred [primary implementation] 2 Claims 2, 3 Alternative [different parameters/materials] 3 Claims 4, 5 Additional 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: Every component mentioned must have a numeral Numeral must appear first in parentheses after the component name: "the processor (102)" Subsequent references: "the processor 102" (no parentheses) 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 Element Embodiment Reference Numeral Description 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").
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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