菜单
对单个产品做立项前分析，输出结构化中文报告，覆盖产品定义、需求强度、创新点、竞品矩阵、商业价值、付费意愿、风险、批判性锐评和两周验证计划。 Use when: 用户要做产品立项分析、竞品矩阵、商业价值判断、付费意愿分析、PRD 前置调研、内部立项备忘录，或要求“像评审会一样锐评一个产品”。
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。
基于 SOC 职业分类
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。
| name | product-launch-analysis |
| description | 对单个产品做立项前分析，输出结构化中文报告，覆盖产品定义、需求强度、创新点、竞品矩阵、商业价值、付费意愿、风险、批判性锐评和两周验证计划。 Use when: 用户要做产品立项分析、竞品矩阵、商业价值判断、付费意愿分析、PRD 前置调研、内部立项备忘录，或要求“像评审会一样锐评一个产品”。 |
| user-invocable | true |
| metadata | {"author":"tense-i","version":"1.0","language":"zh-CN"} |
用这个 skill 把产品材料整理成一份立项评审风格的报告，而不是泛泛的产品介绍。
围绕“这个产品值不值得做/投/继续验证”给出结构化判断，重点覆盖：
兼容最小输入：
信息不足时不要反复追问，直接降级输出并标记：
【证据】【推断】【假设】【证据】、【推断】 或 【假设】。按 references/report-template.md 输出固定章节。
必须包含：
references/report-template.md: 立项分析报告固定结构