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当需要设计产品信息架构时使用。信息架构自动设计，从PRD自动提取内容、进行语义聚类、推荐导航模式、模拟卡片分类、生成IA候选方案。适用于产品信息架构重构或新功能导航设计。关键词：信息架构、IA设计、导航设计、卡片分类、内容组织、导航梳理、内容分类。
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Baseado na classificação ocupacional SOC
Use when managing Sprint cycles or tracking agile execution. Agile execution commander orchestrating agile-sprint-planning, agile-daily-sync, and agile-review sub-skills. agile-review has merged retrospective-auto auto-retrospective capabilities. Keywords: agile execution, Sprint planning, daily standup, Sprint review, agile management, Sprint retrospective, iteration retrospective, agile development, retrospective report, auto-retrospective.
Use when planning a Sprint. Sprint Planning automation, transforming Product Backlog into Sprint Backlog, including Sprint Goal suggestions, Story auto-selection, workload estimation, and capacity matching validation, outputting a complete Sprint plan. Keywords: Sprint planning, Sprint plan, iteration planning, Story selection, capacity matching, scheduling, what to do this iteration.
Use when you need to consolidate competitor tracking data into a complete, deliverable monitoring report. Competitor Dynamic Monitoring Report auto-generation, including competitor dynamics summary, feature change tracking, market strategy changes, threat assessment, and response recommendations. Keywords: competitor monitoring report, competitor dynamics, feature tracking, threat assessment, competitor response, competitor report, what are competitors doing.
Use when you need to track competitor dynamics and develop response strategies. Competitor Dynamic Tracking & Response, monitors competitor feature changes, evaluates dynamic changes in own advantages, generates response strategies, and tracks effectiveness. Keywords: competitor tracking, competitor analysis, competitor monitoring, feature changes, competitive analysis, competitor changes, competitor dynamics, competitor changed, competitor made a move.
Use when you need to diagnose product health. Automated product health diagnosis that collects multi-dimensional data and performs comprehensive scoring, trend prediction, and bottleneck identification, outputting a health report. Keywords: health score, product diagnosis, multi-dimensional scoring, health check, product health, health rating, product checkup, status check.
Use when planning iteration cycles or adjusting product priorities. Iteration decision commander orchestrating iteration-backlog-grooming and iteration-retrospective sub-skills. Keywords: iteration decision, Backlog optimization, priority adjustment, iteration retrospective, iteration planning, requirement restructuring, RICE scoring, iteration management. This orchestrator dispatches 2 sub-skills: Backlog grooming (no cross-module dependencies) and iteration retrospective (depends on pm-08 output).
| name | design-ia |
| description | 当需要设计产品信息架构时使用。信息架构自动设计，从PRD自动提取内容、进行语义聚类、推荐导航模式、模拟卡片分类、生成IA候选方案。适用于产品信息架构重构或新功能导航设计。关键词：信息架构、IA设计、导航设计、卡片分类、内容组织、导航梳理、内容分类。 |
| metadata | {"module":"产品构思与设计","sub-module":"产品设计与原型","type":"pipeline","version":"3.0","domain_tags":["互联网","内容平台","通用"],"trigger_examples":["网站导航怎么组织","帮我梳理信息架构","内容分类和导航怎么设计"],"interaction_mode":"ai_suggest_human_approve"} |
| execution_depth | {"default":"standard","quick_description":"直接输出IA方案和导航需求","deep_description":"完整IA方案 + 卡片分类验证 + 用户心智模型对齐 + 导航可用性评估"} |
🤖→👤 AI建议 → 人类审批
🤖→👤 AI建议人类审批
| 输入项 | 类型 | 必填 | 来源 | 说明 |
|---|---|---|---|---|
| PRD | markdown | 是 | output/pm-design/design-prd/prd.md | 产品需求文档 |
| PRD结构化数据 | JSON | ○ | output/pm-design/design-prd/prd.json | PRD机器可消费版本，包含pages[]，供IA设计对齐页面路由 |
| 现有产品IA | JSON | ○ | 用户提供 | 现有信息架构（如有） |
| 用户研究数据 | JSON | ○ | output/pm-discovery/user-research-voice-analysis / output/pm-discovery/user-research-behavior-analysis | 用户行为模式、内容偏好 |
从PRD中提取所有功能点和内容项：
基于语义相似度生成分类建议：
AI基于功能名称和描述的语义相似度进行分类建议：
根据内容特点和用户场景，定义导航需求（不定义具体导航模式，由 UI Skill 决定实现方式）：
| 内容特点 | 导航需求 |
|---|---|
| 扁平结构 | 3-5个同级入口需同时可见 |
| 层级分明 | 层级深度≤3，核心功能2次点击可达 |
| 功能导向 | 核心功能入口需常驻可见 |
| 内容丰富 | 需支持浏览+搜索组合 |
AI基于分类结果生成卡片分类建议：
生成2-3个候选IA方案，每个包含：
| 深度级别 | 输出范围 | 说明 |
|---|---|---|
| quick | IA方案和导航需求 | 核心结论 + 最小可行产物 |
| standard | 完整产物（当前默认） | 完整产物，包含全部Step输出 |
| deep | 完整IA方案 + 卡片分类验证 + 用户心智模型对齐 + 导航可用性评估 | 完整产物 + 扩展分析 + 深度推演 |
存储路径：output/pm-design/design-ia/
输出文件：ia_proposals.json
以下为完整示例，展示 batch_generation（AI 批量生成 3 个候选方案）+ human_filter（人类筛选最终方案）原则的实际应用。场景：在线学习平台信息架构设计，AI 生成 3 个候选方案并标注评分，人类筛选后选定方案B。
{
"ia_proposals": [
{
"name": "方案A：功能导向型",
"structure": {
"root": {
"label": "在线学习平台",
"children": [
{
"label": "学习",
"children": [
{ "label": "我的课程", "items": ["进行中课程", "已完成课程", "收藏课程"] },
{ "label": "课程市场", "items": ["全部课程", "分类浏览", "搜索"] }
]
},
{
"label": "推荐",
"children": [
{ "label": "个性化推荐", "items": ["为你推荐", "不感兴趣反馈"] },
{ "label": "学习路径", "items": ["前端路径", "后端路径", "产品路径"] }
]
},
{
"label": "个人中心",
"children": [
{ "label": "账户", "items": ["基本信息", "学习偏好", "职业目标"] },
{ "label": "成就", "items": ["学习证书", "学习统计"] }
]
}
]
}
},
"navigation_needs": "3个同级模块需快速切换，层级深度≤2，核心功能2次点击可达",
"routes": [
{ "path": "/dashboard", "page": "学习首页", "depth": 1 },
{ "path": "/recommend", "page": "推荐首页", "depth": 1 },
{ "path": "/courses", "page": "课程市场", "depth": 1 },
{ "path": "/courses/:id", "page": "课程详情", "depth": 2 },
{ "path": "/paths", "page": "学习路径", "depth": 2 },
{ "path": "/profile", "page": "个人中心", "depth": 1 }
],
"avg_clicks_to_core": 2.0,
"alignment_with_user_model": "medium",
"needs_user_validation": ["「学习」与「推荐」模块的边界划分", "「课程市场」是否独立为一级入口"],
"rationale": "按功能类型组织，结构清晰易于维护。但「推荐」与「学习」分离可能导致学员在两个模块间频繁切换，增加认知负荷。",
"pros": ["结构清晰，开发实现简单", "功能边界明确，便于团队分工"],
"cons": ["推荐与学习割裂，用户心智模型对齐度低", "推荐入口层级较深，影响推荐曝光"],
"score": {
"user_alignment": 6,
"development_cost": 8,
"scalability": 7,
"total": 21
}
},
{
"name": "方案B：用户目标导向型",
"structure": {
"root": {
"label": "在线学习平台",
"children": [
{
"label": "继续学习",
"children": [
{ "label": "最近学习", "items": ["上次学习课程", "进行中课程"] },
{ "label": "学习路径", "items": ["我的路径", "推荐路径"] }
]
},
{
"label": "发现课程",
"children": [
{ "label": "为你推荐", "items": ["个性化推荐", "学习路径推荐"] },
{ "label": "浏览全部", "items": ["分类浏览", "搜索", "排行榜"] }
]
},
{
"label": "我的成长",
"children": [
{ "label": "学习记录", "items": ["学习统计", "完课证书"] },
{ "label": "账户设置", "items": ["基本信息", "学习偏好"] }
]
}
]
}
},
"navigation_needs": "3个同级模块按学员旅程组织，层级深度≤2，推荐内容与学习入口紧邻",
"routes": [
{ "path": "/dashboard", "page": "继续学习", "depth": 1 },
{ "path": "/recommend", "page": "为你推荐", "depth": 2 },
{ "path": "/courses", "page": "浏览全部", "depth": 2 },
{ "path": "/courses/:id", "page": "课程详情", "depth": 2 },
{ "path": "/paths", "page": "学习路径", "depth": 2 },
{ "path": "/profile", "page": "我的成长", "depth": 1 }
],
"avg_clicks_to_core": 1.8,
"alignment_with_user_model": "high",
"needs_user_validation": ["「继续学习」作为一级入口的命名", "「发现课程」与「继续学习」的优先级排序"],
"rationale": "按学员学习旅程组织，从「继续学习」到「发现课程」形成自然流转。推荐内容与学习入口紧邻，降低切换成本，符合学员「学习-发现-再学习」的心智模型。",
"pros": ["与学员心智模型高度对齐", "推荐内容曝光度高，核心功能点击次数少", "支持学员旅程自然流转"],
"cons": ["结构对运营内容组织要求较高", "「发现课程」命名需用户验证"],
"score": {
"user_alignment": 9,
"development_cost": 6,
"scalability": 8,
"total": 23
}
},
{
"name": "方案C：内容类型导向型",
"structure": {
"root": {
"label": "在线学习平台",
"children": [
{
"label": "课程",
"children": [
{ "label": "全部课程", "items": ["分类浏览", "搜索", "排行榜"] },
{ "label": "我的课程", "items": ["进行中", "已完成", "收藏"] }
]
},
{
"label": "路径",
"children": [
{ "label": "推荐路径", "items": ["按职业方向", "按技能方向"] },
{ "label": "我的路径", "items": ["进行中路径", "已完成路径"] }
]
},
{
"label": "推荐",
"children": [
{ "label": "课程推荐", "items": ["个性化推荐", "相似课程"] },
{ "label": "路径推荐", "items": ["进阶路径", "关联路径"] }
]
},
{
"label": "我的",
"children": [
{ "label": "学习数据", "items": ["学习统计", "完课证书"] },
{ "label": "设置", "items": ["账户", "偏好"] }
]
}
]
}
},
"navigation_needs": "4个同级模块需快速切换，层级深度≤2，但4个入口可能超出米勒定律舒适区",
"routes": [
{ "path": "/courses", "page": "课程", "depth": 1 },
{ "path": "/courses/:id", "page": "课程详情", "depth": 2 },
{ "path": "/paths", "page": "路径", "depth": 1 },
{ "path": "/recommend", "page": "推荐", "depth": 1 },
{ "path": "/profile", "page": "我的", "depth": 1 }
],
"avg_clicks_to_core": 2.2,
"alignment_with_user_model": "medium",
"needs_user_validation": ["4个一级入口是否过多", "「路径」与「课程」是否需要合并"],
"rationale": "按内容类型组织，课程与路径分离便于内容管理。但4个一级入口可能超出米勒定律（3-7项舒适区下限），且「推荐」独立成模块可能降低与学习的联动性。",
"pros": ["内容类型边界清晰，便于内容运营", "路径与课程分离，支持精细化运营"],
"cons": ["4个一级入口认知负荷较高", "推荐与学习场景割裂", "核心功能点击次数偏多"],
"score": {
"user_alignment": 5,
"development_cost": 7,
"scalability": 9,
"total": 21
}
}
],
"human_filter": {
"selected_proposal": "方案B：用户目标导向型",
"selection_rationale": "方案B 与学员心智模型对齐度最高（9分），核心功能平均点击次数最少（1.8次），推荐内容曝光度高。虽然开发成本略高于方案A，但用户体验优势明显，符合「信息找路而非路找信息」的核心原则。",
"rejected_proposals": [
{
"name": "方案A：功能导向型",
"reject_reason": "推荐与学习割裂，用户心智模型对齐度仅 medium"
},
{
"name": "方案C：内容类型导向型",
"reject_reason": "4个一级入口认知负荷过高，违反米勒定律舒适区原则"
}
],
"validation_actions": [
"对「继续学习」「发现课程」命名进行卡片分类验证",
"对推荐内容在「发现课程」下的层级进行 A/B 测试"
]
}
}
输出校验规则：详见下方输出校验规则章节
| 条件 | 动作 |
|---|---|
| IA层级深度 > 4层 | 标注"层级过深"，建议扁平化 |
| 同层级节点数 > 7个 | 标注"认知负荷过高"，建议分组 |
| 关键任务路径点击数 > 3次 | 标注"路径过深"，建议提升层级 |
| IA置信度 < 0.5 | 升级人类验证，标注"IA推断可信度低" |
| 与PRD功能模块不匹配 | 标注"功能覆盖缺失"，列出未覆盖的功能模块 |
| 导航路径存在循环 | 必须修复，消除循环引用 |
| 缺失的上游输入 | 降级方案 | 输出影响 | 数据获取说明 |
|---|---|---|---|
| PRD文档缺失 | 用户提供功能列表，直接设计IA | 缺乏PRD结构化数据，分类可能不够完整 | 要求用户提供功能需求描述或上传prd.json文件 |
| 现有IA数据缺失 | 从零设计IA，无参考基线 | 缺乏现有IA参考，可能遗漏已有结构 | 要求用户提供现有页面结构或导航层级描述 |
| 用户研究数据缺失 | 基于PRD功能推导分类 | 缺乏用户研究数据，分类可能与用户心智模型偏差 | 要求用户提供用户研究结论或上传persona.json文件 |
| 所有上游文件均缺失 | 提示用户先执行前序阶段，或基于用户提供的功能列表直接设计IA | 整体置信度降低 | 要求用户提供功能列表、目标用户和核心使用场景 |
| 字段路径 | 类型 | 必填 | 说明 |
|---|---|---|---|
| ia_proposals | array | 是 | IA候选方案列表，至少2个 |
| ia_proposals[].name | string | 是 | 方案名称 |
| ia_proposals[].structure | object | 是 | 层级结构定义 |
| ia_proposals[].navigation_needs | string | 是 | 导航需求描述（不定义具体导航模式） |
| ia_proposals[].routes | array | 是 | 路由列表 |
| ia_proposals[].routes[].path | string | 是 | 路由路径（须与prd.json.pages[].route一致） |
| ia_proposals[].routes[].page | string | 是 | 页面名称 |
| ia_proposals[].routes[].depth | integer | 是 | 层级深度 |
| ia_proposals[].avg_clicks_to_core | number | 是 | 核心功能平均点击次数 |
| ia_proposals[].alignment_with_user_model | string | 是 | 与用户心智模型对齐度 |
| ia_proposals[].needs_user_validation | array | 是 | 需用户验证的节点 |
| 上游变更 | 影响范围 | 响应策略 |
|---|---|---|
| PRD功能模块增删 | 内容清单、分类结构、路由定义 | 标注受影响的功能点和分类节点，建议人类确认是否重新聚类 |
| PRD优先级调整 | IA层级结构、导航模式 | 标注受影响的层级关系，建议人类确认是否调整层级深度 |
| 用户研究数据更新 | 分类方案、用户心智模型对齐度 | 标注受影响的分类判断，建议人类确认是否调整分类方案 |
| 现有IA结构调整 | 路由映射、导航模式 | 标注受影响的路由和导航，建议人类确认是否重新设计 |
| IA变更类型 | 通知范围 | 通知方式 |
|---|---|---|
| 路由结构变更 | design-userflow、design-prototype、design-handoff-spec | 标记路由变更，触发用户流程和原型重新设计 |
| 导航需求变更 | design-prototype、interaction-spec | 标记导航需求变更，触发原型和交互规范更新 |
| 层级深度变更 | design-userflow、design-handoff-spec | 标记层级变更，触发流程和交接文档更新 |
| 分类节点变更 | design-userflow、design-prototype | 标记分类变更，触发流程和原型更新 |
| 本Skill输出字段 | prd.json对应字段 | 对齐规则 |
|---|---|---|
| ia_proposals[].routes[].path | prd.json.pages[].route | 路由路径必须一致，IA方案确认后prd.json同步更新 |
| ia_proposals[].routes[].page | prd.json.pages[].name | 页面名称必须一致 |
| ia_proposals[].structure | prd.json.pages[]层级关系 | IA层级结构决定pages的父子关系 |
本Skill需要PRD、现有IA和用户研究数据，请通过以下方式之一提供：