Skills Plugins MCP Prompt Model 博客 我的中心

specification-writing

Write the full patent specification from claims and invention disclosure. Use when user says "撰写说明书", "write specification", "写说明书", "patent description", or wants to draft the complete patent specification.

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

获取

https://deepseekmodel.com/api/download.php?id=wanshuiyin-auto-claude-code-research-in-sleep-skills-specification-writing-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 specification-writing description Write the full patent specification from claims and invention disclosure. Use when user says "撰写说明书", "write specification", "写说明书", "patent description", or wants to draft the complete patent specification. argument-hint [claims-path] allowed-tools Bash(*), Read, Write, Edit, Grep, Glob, Skill, WebSearch, WebFetch, mcp__codex__codex, mcp__codex__codex-reply Specification Writing: Section-by-Section Patent Description Write the patent specification based on: $ARGUMENTS Adapted from /paper-write for patent specifications. The specification supports the claims -- it is not a paper. Constants REVIEWER_MODEL = gpt-6-astra — External reviewer for specification quality JURISDICTION = "auto" — Inherit from pipeline or detect from args; CN , US , EP , ALL OUTPUT_FORMAT = "markdown" — Markdown drafts; converted to filing format by /jurisdiction-format OUTPUT_DIR = "patent/" — Base output directory LANGUAGE = "auto" — Auto from jurisdiction: CN->Chinese, US/EP->English Inputs patent/CLAIMS.md — the drafted claims (primary source) patent/INVENTION_DISCLOSURE.md — invention decomposition patent/PRIOR_ART_REPORT.md — for background section User-provided figures (if any) Shared References Load ../shared-references/patent-writing-principles.md for specification writing rules, language guidelines, and reference numeral conventions. Load ../shared-references/patent-format-cn.md or patent-format-us.md or patent-format-ep.md based on jurisdiction. Workflow Step 1: Initialize Specification Structure Create the output directory and section files: patent/specification/ ├── title.md ├── technical_field.md ├── background.md ├── summary.md ├── drawings_description.md ├── detailed_description.md └── abstract.md Step 2: Write Title (发明名称) Must match the broadest claim scope No trademarks, no "improved" or "new" or "novel" CN format: "一种[领域]的[技术主题]" or "[领域]的[技术主题]装置" US/EP format: "[Technical topic] for [purpose]" or "[Technical topic] and method thereof" Keep concise (CN: typically under 25 characters; US: under 500 characters) Step 3: Write Technical Field (技术领域) 1-2 paragraphs identifying the technical domain: "The present invention relates to [broad field], and more particularly to [specific area]." CN: "本发明涉及[技术领域],具体涉及[具体领域]。" Step 4: Write Background (背景技术) This is NOT a literature review. It directly sets up the problem. Structure: Describe the closest prior art approaches (2-3 paragraphs) Identify specific technical deficiencies of each approach The deficiencies must be technical, not commercial or social DO NOT admit the prior art is "superior" or "better" DO NOT cite specific patent numbers unless they are known prior art (citations go in IDS for US, or Background section for CN) CN format: "背景技术" section describing existing technology and its shortcomings. Step 5: Write Summary (发明内容) Three parts, directly mirroring INVENTION_DISCLOSURE.md: Technical Problem (要解决的技术问题) : State the problem derived from background deficiencies CN: "本发明要解决的技术问题是..." Technical Solution (技术方案) : Describe how the invention solves the problem Must provide support for ALL claim elements Start from the broadest claim and describe the core inventive concept CN: "为解决上述技术问题,本发明采用的技术方案是:..." NO formulas, NO mathematical derivations, NO circuit models — these belong in 具体实施方式, not 发明内容 Advantages (有益效果) : Benefits derived from the structural/technical features (qualitative reasoning) CN: "本发明的有益效果是:..." NO specific numerical results (e.g., "detection limit 70μm", "response time 105ms") — these are experimental findings, not invention properties Frame advantages structurally: "由于采用了...结构,因此具有...效果" Step 6: Write Brief Description of Drawings (附图说明) Invoke /figure-description as a sub-skill if user has provided figures: /figure-description "patent/figures/" If no user figures, describe what figures should exist based on the claims. Format: CN: "图1是...的示意图;图2是...的流程图;" US: "FIG. 1 is a block diagram showing...; FIG. 2 is a flowchart illustrating..." Step 7: Write Detailed Description (具体实施方式) Invoke /embodiment-description as a sub-skill: /embodiment-description "patent/CLAIMS.md" This section must: Describe at least one complete embodiment with reference numerals Enable a POSITA to make and use the invention Support every claim element with explicit description Include variations and alternatives for broader claim interpretation Step 8: Write Abstract (摘要) Jurisdiction-specific word limits: Jurisdiction Word Limit Notes CN 300 words (Chinese characters) Include most representative claim reference US 150 words (2500 characters) Enable efficient searching, no legal phrases EP ~150 words No statements on merits or value The abstract summarizes: The technical field The problem being solved The technical solution (core features) Key advantages Step 9: Claim Support Verification Verify every claim element finds support in the specification: Claim Element Specification Section Paragraph(s) Reference Numeral 1 step a detailed_description ¶3 202 1 step b detailed_description ¶4 204 X component A detailed_description ¶2 102 If any element lacks support, add the necessary description before proceeding. Step 10: Cross-Model Review Call REVIEWER_MODEL via mcp__codex__codex with xhigh reasoning: mcp__codex__codex: model: gpt-6-astra config: {"model_reasoning_effort": "xhigh"} prompt: | You are a patent examiner reviewing a specification for completeness. CLAIMS: [all claims] SPECIFICATION: [all specification sections] Check for: 1. Written description support: Does every claim element have explicit or inherent support? 2. Enablement: Can a POSITA practice the invention from this specification? 3. Consistency: Do reference numerals match across figures and specification? 4. Language quality: Any subjective terms, relative terms without definition, or result-to-be-achieved language? 5. Missing embodiments: Are there claim features that need additional embodiments? 6. Background deficiencies: Are they technical and specific enough? Step 11: Output All specification sections are in patent/specification/ . Summary file: patent/specification/SPECIFICATION_INDEX.md with: ## Patent Specification ### Sections | Section | File | Word Count | Status | |---------|------|-----------|--------| | Title | title.md | | Complete | | Technical Field | technical _field.md | | Complete | | Background | background.md | | Complete | | Summary | summary.md | | Complete | | Drawings Description | drawings_ description.md | | Complete | | Detailed Description | detailed _description.md | | Complete | | Abstract | abstract.md | | Complete | ### Claim Support Status | Claim | Elements Supported | Elements Missing | |-------|-------------------|-----------------| | 1 | All | None | | X | All | None | Key Rules The specification supports the claims, not the other way around. Every claim element must have support. Use consistent terminology -- same word for the same concept throughout. DO NOT include experimental results, accuracy metrics, or empirical evaluations. DO NOT use subjective language ("excellent", "surprising", "superior"). Reference numerals must be consistent: same component, same numeral, everywhere. Background section describes specific deficiencies, not general "need for improvement." Multiple embodiments strengthen the specification but are not always required. Large file handling: if a Write operation fails, retry with Bash cat <<'EOF' heredoc. If mcp__codex__codex is not available, skip cross-model review and note it in the output.
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

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

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。