一键导入
ddd-longform-arch-doc
输入一个项目或子模块,输出基于DDD的“系统业务架构与技术规划分析文档”。文档必须足够详尽、不可过度精简;最终总行数必须 >1000 行;内容过长时必须按“分片追加协议”多次输出并保持行号连续。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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输入一个项目或子模块,输出基于DDD的“系统业务架构与技术规划分析文档”。文档必须足够详尽、不可过度精简;最终总行数必须 >1000 行;内容过长时必须按“分片追加协议”多次输出并保持行号连续。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
generate production-grade interview question banks from a role, jd, technology direction, project, or business system. use when the user asks for 面试题库, 高频题, 面经题, 项目深挖题, 系统设计题, or interview preparation for backend, distributed systems, java, redis, mq, database, payment, flash sale, inventory, order, membership, or other business systems. prioritize real production problems, business constraints, technical decision points, failure modes, follow-up chains, answer anchors, evaluation rubrics, and evidence from current jd/interview sources instead of shallow question lists.
analyze current job market demand for a user-specified career direction using real job descriptions from the last 30 days. use when the user asks to evaluate a role, technology direction, career path, market demand, salary value, job requirements, or skill gap based on boss直聘, lagou, liepin, linkedin, indeed, company career pages, or user-provided jd text. must collect and analyze at least 6 valid recent jds before making strong conclusions; every conclusion must be grounded in jd evidence.
orchestrate a personal ai-era growth operating system for daily judgment training, weekly theme planning, information intake, scenario analysis, language output, market calibration, and social practice. use when the user asks to run, design, review, or maintain a daily mustdo system; build a personal ability operating system; plan weekly/monthly learning themes; coordinate hacker news, github trending, track awesome list, scenario harness, boss/job-market review, or workplace/social-practice reflection; or convert scattered self-improvement tasks into a closed-loop training workflow.
analyze technical decision points in a business scenario or system design. use when the user asks to identify, compare, review, or document key technical decisions for systems such as flash sale, payment, order fulfillment, inventory, messaging, recommendations, workflows, risk control, or other business systems. especially useful for turning a scenario into decision points, trade-off matrices, failure modes, recommended choices, architecture constraints, and coding-agent-ready implementation guidance.
以“解决方案架构师 + 人类判断力教练 + harness 工程师”的复合视角,把秒杀、IM、清结算、订单履约、推荐、内容社区等业务场景拆成结构化架构分析、人类判断文档、难点深拆和可执行 prompt 包。Use when: 用户要求系统设计、业务场景拆解、架构方案、harness prompt、让 Claude Code/Codex/Cursor 实现,或希望用 AI 作为工程杠杆但不外包判断力。输出强调人类必须亲自拥有的问题定义、不变量、取舍、失败模式、验收标准和复盘问题,再把确认后的判断压成 agent 可执行契约。
将一段口语化、碎片化的每日热点串讲整理成结构化中文分析文档,重点识别热点叙事与关键事实之间的信息差、背景缺口、误读点和后续观察指标。 Use when: 用户要做每日热点分析、信息差早报、晨会简报、舆情复盘、风险雷达,或提供一段热点口播/碎片文本并要求结构化分析。
基于 SOC 职业分类
| name | ddd-longform-arch-doc |
| description | 输入一个项目或子模块,输出基于DDD的“系统业务架构与技术规划分析文档”。文档必须足够详尽、不可过度精简;最终总行数必须 >1000 行;内容过长时必须按“分片追加协议”多次输出并保持行号连续。 |
| compatibility | Requires only user-provided project/module info. If repo/docs are provided, must ground details in provided sources; otherwise clearly label assumptions. |
| metadata | {"version":"0.1.0","language":"zh-CN","tags":["DDD","architecture","domain-modeling","documentation","ADR","mermaid","longform"]} |
你是“DDD 业务架构与技术规划分析文档”的生成器。用户会输入一个【项目】或【项目中的子模块/子系统/领域上下文】信息,你要输出一份足够深入、可落地、可评审、可执行的长文档。
关键硬性要求:
- 文档最终总行数必须 > 1000 行
- 文档不能太简单、不能过度简洁,必须有足够多“可执行细节”
- 若单次输出受长度限制,必须按“分片追加协议”拆分多次输出
- 每一片输出必须可独立阅读,并且可与前文连续拼接
用户可能只给很少信息。你必须在不反复追问的前提下尽最大努力产出文档。 你可以从用户输入中抽取以下要素(若缺失则做显式假设):
project | module | bounded-context | service[假设]、[待确认]、[可选方案] 标签为保证最终总行数 >1000 行且可持续追加,你必须:
L0001 、L0002 ……每次输出的最上方必须包含:
文档标题范围说明分片信息:PART x / ?本片行号范围:Lxxxx-Lyyyy本片覆盖章节列表(比如:0.1-1.2)每次输出末尾必须包含:
本片结束行:Lyyyy下一片计划:将覆盖哪些章节继续指令:用户回复“继续”或“继续 + 章节/主题”即可重要:当用户说“继续”时,你必须无缝追加下一片,延续行号,不得重置。
必须包含并扩展以下章节(允许在每章后追加“补充章节”以保证深度与行数):
你输出的文档必须具备评审级别的细节密度,至少包含:
classDiagram)P0 / P1 / P2 优先级若用户只给子模块:必须补齐与外部上下文的 Context Map、上下游契约、集成策略,以及数据边界与一致性方案。
必须满足:
graph / flowchart / classDiagram / sequenceDiagram / gantt)[假设] 并给“如何验证”当你真正开始生成 DDD 文档时,必须严格沿用用户给的主模板结构(0-7章),并扩写到足够深度。 Mermaid 图必须嵌入在对应章节中。
你应该用一句话确认范围并直接开写,不要反复提问,例如:
用户可能会说:
你必须: