[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"pack-detail-pm-ai-research-kit-zh":3,"seo:pack:pm-ai-research-kit:zh":94},{"code":4,"message":5,"data":6},200,"操作成功",{"pack":7},{"slug":8,"icon":9,"tone":10,"status":11,"status_label":12,"title":13,"description":14,"items":15,"install_cmd":93},"pm-ai-research-kit","📋","#3B82F6","new","本周新建","产品经理 AI 研究工具包","十件资产，给那个本周既要做用户调研、又要转写访谈、又要扫竞品、又要写 PRD、还要给路线图站台的产品经理。Discovery agent + 会议捕捉 + 竞品分析 + PRD + 路线图工具 + 数据分析。苦力交给 AI，判断留给你自己。",[16,28,36,44,51,58,65,72,79,86],{"id":17,"uuid":18,"slug":19,"title":20,"description":21,"author_name":22,"view_count":23,"vote_count":24,"lang_type":25,"type":26,"type_label":27},391,"f09e9348-2bdc-45aa-9907-cfb30290f69b","storm-ai-research-report-generator-stanford-f09e9348","STORM — AI Research Report Generator by Stanford","Stanford's LLM-powered system that researches any topic and writes a full Wikipedia-style article with citations. Simulates multi-perspective expert conversations.","Skill Factory",194,0,"en","skill","Skill",{"id":29,"uuid":30,"slug":31,"title":32,"description":33,"author_name":34,"view_count":35,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4361,"7f170fd0-af4c-4936-8b48-60aef597ebff","claude-code-agent-research-analyst-7f170fd0","Claude Code Agent: Research Analyst","Use this agent when you need comprehensive research across multiple sources with synthesis of findings into actionable insights, trend identification, and detailed reporting....","TokRepo精选",44,{"id":37,"uuid":38,"slug":39,"title":40,"description":41,"author_name":42,"view_count":43,"vote_count":24,"lang_type":25,"type":26,"type_label":27},2101,"3270e558-4080-11f1-9bc6-00163e2b0d79","meetily-privacy-first-ai-meeting-assistant-local-3270e558","Meetily — Privacy-First AI Meeting Assistant with Local Transcription","An open-source, self-hosted AI meeting assistant that provides real-time transcription, speaker diarization, and local summarization using Whisper and Ollama, with no cloud dependency.","AI Open Source",143,{"id":45,"uuid":46,"slug":47,"title":48,"description":49,"author_name":42,"view_count":50,"vote_count":24,"lang_type":25,"type":26,"type_label":27},2634,"0e1eab94-47b5-11f1-9bc6-00163e2b0d79","anarlog-open-source-ai-meeting-notes-stay-your-machine-0e1eab94","Anarlog — Open-Source AI Meeting Notes That Stay on Your Machine","A privacy-first, local-first meeting note application built with Rust and Tauri that transcribes, summarizes, and organizes your meetings without sending data to the cloud.",127,{"id":52,"uuid":53,"slug":54,"title":55,"description":56,"author_name":34,"view_count":57,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4355,"23ca3f4f-e5cd-4cf0-80f5-6f9204df6e3d","claude-code-agent-competitive-intelligence-analyst-23ca3f4f","Claude Code Agent: Competitive Intelligence Analyst","Competitive intelligence and market research specialist. Use PROACTIVELY for competitor analysis, market positioning research, industry trend analysis, business intelligence...",37,{"id":59,"uuid":60,"slug":61,"title":62,"description":63,"author_name":22,"view_count":64,"vote_count":24,"lang_type":25,"type":26,"type_label":27},53,"80d2ebbb-3792-48d1-9363-6528f156019b","claude-code-agent-product-manager-prds-user-stories-80d2ebbb","Claude Code Agent: Product Manager — PRDs & User Stories","Claude Code agent for product management. Write PRDs, user stories, acceptance criteria, and roadmaps from technical context.",119,{"id":66,"uuid":67,"slug":68,"title":69,"description":70,"author_name":34,"view_count":71,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4272,"bcb828dc-593c-4575-9485-305f694f4b1f","claude-code-agent-product-manager-bcb828dc","Claude Code Agent: Product Manager","Use this agent when you need to make product strategy decisions, prioritize features, or define roadmap plans based on user needs and business goals. Specifically:\\\\n\\\\n\\\\nContext:",32,{"id":73,"uuid":74,"slug":75,"title":76,"description":77,"author_name":34,"view_count":78,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4304,"d321910a-7fbf-484b-bf63-c7858189e340","claude-code-agent-product-strategist-d321910a","Claude Code Agent: Product Strategist","Product strategy and roadmap planning specialist. Use PROACTIVELY for product positioning, market analysis, feature prioritization, go-to-market strategy, and competitive...",36,{"id":80,"uuid":81,"slug":82,"title":83,"description":84,"author_name":42,"view_count":85,"vote_count":24,"lang_type":25,"type":26,"type_label":27},872,"f0879ae4-33e5-11f1-9bc6-00163e2b0d79","plane-open-source-ai-project-management-f0879ae4","Plane — Open-Source AI Project Management","Open-source Jira\u002FLinear alternative with AI-powered pages. Issues, sprints, modules, roadmaps, and real-time analytics. Self-hostable via Docker. AGPL-3.0, 47,500+ stars.",163,{"id":87,"uuid":88,"slug":89,"title":90,"description":91,"author_name":42,"view_count":92,"vote_count":24,"lang_type":25,"type":26,"type_label":27},1615,"53fe9ca0-39c1-11f1-9bc6-00163e2b0d79","posthog-open-source-product-analytics-session-replay-53fe9ca0","PostHog — Open Source Product Analytics & Session Replay","PostHog is a self-hosted product analytics platform with event tracking, session replay, feature flags, A\u002FB testing, and a data warehouse built in.",92,"tokrepo install pack\u002Fpm-ai-research-kit",{"pageType":95,"pageKey":8,"locale":96,"title":97,"metaDescription":98,"h1":99,"tldr":100,"bodyMarkdown":101,"faq":102,"schema":118,"internalLinks":124,"citations":137,"wordCount":150,"generatedAt":151},"pack","zh","产品经理 AI 研究工具包 — 10 个资产打通 discovery → PRD → 路线图","STORM \u002F Research Analyst \u002F Meetily \u002F Anarlog \u002F Competitive Intelligence Analyst \u002F PM Agent (PRDs) \u002F PM Agent (优先级) \u002F Product Strategist \u002F Plane \u002F PostHog — 一套 10 个资产，让本周要做用户调研、转写访谈、扫竞品、写 PRD、扛路线图的产品经理把苦力交给 AI，判断留给自己。","产品经理 AI 研究工具包 — 一周打通调研 → PRD → 路线图","十个资产，按产品经理真实工作流排序：discovery agent 先（搞清楚要做啥），然后是访谈捕捉，然后扫竞品，然后写 PRD，然后接入路线图工具，最后接数据分析看上个 sprint 到底有没有产生价值。AI 干苦力 — 综合、转写、排版、对比表；你自己决定做啥。","## 这个 pack 包含什么\n\n这是给「已经开了太多 tab」的产品经理准备的栈 — 不是 KOL 那种「AI 改变产品」的阅读清单。每个工具只做产品经理一周里的一件事：开一个 discovery topic、录用户访谈、扫 CEO 刚提的 4 个竞品、起一份工程不会打回的 PRD、给 stakeholder 看一个看得懂的路线图、盯指标看上个 sprint 到底有没有用。\n\nPack **有意做成 AI 辅助、不是自动驾驶**。产品经理不会因为慢被裁，会因为做错东西被裁。所以工作流在每个决策点都把你留在环里 — AI 做大部分调研、转写、初稿；你来读、推回、拍板。\n\n**不需要先学两周 LangGraph** — 大部分资产是 Claude Code 子 agent 一条命令装好，或者自托管 app。选一个 discovery agent、选一个会议工具、选一个 PRD agent，周一就能用上全套。\n\n## 推荐安装顺序\n\n1. **STORM — AI 调研报告生成器（Stanford）** — 从这里起步，因为方向不对干啥都白搭。给它一句「fintech 创业公司的 PM 怎么处理 KYC onboarding」或「\u003C竞品> 的用户在吐槽什么」，返回一份结构化、有引用的报告。Stanford 出品，多视角专家对话模拟 — 更像调研员，不像搜索框。\n2. **Claude Code Agent: Research Analyst** — STORM 给你报告，这个 agent 把多份报告 + 访谈记录 + 竞品扫描综合成你写 PRD 真正需要的模式。两个搭配：STORM 做广扫，Research Analyst 做「所以呢」那一刀。\n3. **Meetily — 隐私优先的 AI 会议助手** — 用户访谈一旦重要起来，你的电脑要么是法庭记录员，要么你的洞察管道就死了。Meetily **本地跑** Whisper + Ollama。不上云、不需要在敏感企业访谈里说「我先开个录音」。实时转写 + 说话人分离 + 本地总结。\n4. **Anarlog — 开源本地 AI 会议笔记** — Meetily 如果不合你的 OS 或工作流，备选。同样的姿态：纯设备本地，访谈记录永远不离开笔记本。两个选一个标准化。\n5. **Claude Code Agent: Competitive Intelligence Analyst** — 竞品扫描是 AI 任务里最被吹爆、最被实际证伪的一类。这个 agent 做对了：拉公开信号（价格页、changelog、博客、招聘、评论），建对比矩阵，标出对**你的定位**重要的 gap。每周复跑一次，销售复盘时不被打措手不及。\n6. **Claude Code Agent: Product Manager — PRDs & User Stories** — 喂它步骤 1-2 的调研、步骤 3-4 的访谈结论、步骤 5 的竞品矩阵，它起一份带 user story 和验收标准的 PRD 草稿。**只是初稿** — 你的活是推回那些幻觉范围或者跳过边缘 case 的部分。每份 PRD 节省约 3 小时；不替代思考。\n7. **Claude Code Agent: Product Manager** — 另一个 agent，另一个活。这个聚焦**优先级**决策：「给定 12 个 feature 和这点团队 capacity，下个 sprint 该是哪些」。进优先级会议前的对练搭子用，不是决策者。\n8. **Claude Code Agent: Product Strategist** — 给更大的局：定位、GTM、「我们到底该不该在这个市场」。sprint planning 用不上；CEO 周五前要一份战略 doc 时非常有用。\n9. **Plane — 开源 AI 项目管理** — issue \u002F sprint \u002F module \u002F 路线图 \u002F 实时分析。自托管的 Jira\u002FLinear 替代，AI 驱动的 page。47,500+ stars。当作 PRD 落到路线图的单一真相源。AGPL-3.0 意味着你最政治化的工件不被供应商锁住。\n10. **PostHog — 开源产品分析 + Session Replay** — 闭环在这里关上。你把 PRD 描述的东西发出去了；PostHog 告诉你有没有人用、卡在哪、你承诺的指标到底动没动。Session replay 是产品经理最有用的单一工具，专门抓「功能正常但没人能找到」这种失败模式。\n\n## 它们怎么协同\n\n```\n        ┌─── STORM ──── Research Analyst ───┐\n        │   （广扫）        （「所以呢」一刀）  │\n        └────────────────┬───────────────────┘\n                         │\n        ┌─── Meetily ── 或 ── Anarlog ──────┐\n        │       （用户访谈捕捉）              │\n        └────────────────┬───────────────────┘\n                         ▼\n               Competitive Intelligence Analyst\n                   （每周竞品扫描）\n                         │\n                         ▼\n    ┌──── PM Agent: PRDs ──── PM Agent: 优先级 ────┐\n    │     （起 PRD 草稿）      （对练搭子）           │\n    └──────────────────────┬───────────────────────┘\n                           │\n                           ▼\n                  Product Strategist\n                  （更大的定位决策）\n                           │\n                           ▼\n                        Plane\n              （路线图 → sprint → ticket）\n                           │\n                           ▼\n                       PostHog\n         （有人用吗？指标动了吗？）\n```\n\n关键的连接是 **调研 → PRD → 路线图 → 数据**。每个交接点都是产品经理掉链子的地方：调研没进 PRD、PRD 没进 sprint、sprint 没被度量。这十个工具就是挑出来让你能从头到尾在一套工具面上走通的。\n\n## 你会遇到的取舍\n\n- **STORM vs 直接让 Claude 调研一个 topic** — 单个问题，Claude 自带搜索更快。STORM 在三种情况下值：(a) 要一份**带引用**能挂在 PRD 里的报告 (b) 同样的调研要在 5 个竞品或 8 个 persona 上批量重跑 (c) 多视角专家对话能挖出单一 prompt 漏掉的角度。给 PM 调研用，引用链路重要 — 工程和设计会挑你的论据。\n- **Meetily vs Otter\u002FFireflies\u002FGranola** — Meetily 在本地跑。云端方案现在更顺、总结更好，但做 B2B PM 你迟早会访谈一个客户，那个客户法律上不能让他的声音上第三方服务器。Day 1 就并行跑 Meetily，那个访谈定下来时你不会手忙脚乱。\n- **PM Agent: PRDs vs 你现有的 PRD 模板** — agent 不替代模板，它填得更快。如果你有打磨过的模板，粘进上下文里，agent 会按它来。如果没有，先用 agent 默认输出再迭代成模板。别让 AI 给你设计 PRD 格式 — 那是品味决策。\n- **Product Strategist vs Product Manager agents** — Strategist 想季度和市场；PM 想 sprint 和 feature。两个都有用，谁也不替代谁。大部分周你住在 PM agent 里；一个季度一次升级到 Strategist 写董事会 deck。\n- **Plane（自托管）vs Linear\u002FJira（SaaS）** — Plane 开源、可自托管、AGPL-3.0。Linear 更快更好看。Jira 是你公司已经在用的。如果你能控制技术栈、想自己拥有路线图数据，选 Plane；如果公司已经标准化了，用现有的。Pack 选 Plane 是因为它是你**不用填采购表**就能评估的选项。\n- **PostHog vs Mixpanel\u002FAmplitude** — PostHog 开源可自托管；SaaS 竞品更精致。给 PM kit 用 PostHog 赢在：(a) session replay 自带不是 $40\u002Fseat 的加价 (b) feature flag + 分析在一个工具里，可以灰度发布不用两个集成 (c) 法务问起来你能跑在自己数据上。\n\n## 常见踩坑\n\n- **过度信任 AI 综合的访谈摘要** — 模型会把用户实际打脸你假设的那句话抹平。任何 agent 拎出来的「主题」引言，前后 30 秒一定要重听一遍。矛盾的地方才是洞察住的地方。\n- **看竞品扫描凭感觉做路线图** — 竞品分析给你一张对比矩阵。那是**输入**，不是路线图。「竞品 X 有 feature Y」不是做 Y 的理由；是问「为啥我的用户没要求 Y」的理由。用矩阵找你的 wedge，不是抄。\n- **PRD agent 出稿没经过工程就发出去** — PRD agent 会自信地写「系统应该能撑 10x 流量」，根本不知道你后端能不能。spec 离手前一定先过一遍工程；否则回弹来的时候 agent 已经下线三天了。\n- **把转写当成综合** — 一小时半访谈逐字稿 12,000 字你永远不会再读。Meetily\u002FAnarlog 给的是**转写**；**综合**（主题、引言、行动项）是另一个 AI pass。别跳。转写是证据；综合才是你真正用的工件。\n- **跟客户说话前先搭 agent 栈** — 最糟的 PM 失败模式是「调研拖延症装成工具搭建」。挑三个工具（STORM + Meetily + PM Agent: PRDs），明天约一个客户访谈，周五出一份 PRD。剩下 7 个工具只在前 3 个饱和时才有座位。",[103,106,109,112,115],{"q":104,"a":105},"我是没工程背景的产品经理 — 这十个我真的能自己装吗？","可以，两个前提。Claude Code agents（STORM、Research Analyst、两个 PM agent、Strategist、Competitive Intel）通过 Claude Code 的 template 一条命令装好，零基础设施 — 和装 VS Code 插件没啥区别。Meetily、Anarlog、Plane、PostHog 是自托管 app；最容易的路是用各自的 hosted 版本（PostHog Cloud 和 Plane Cloud 都有免费 tier），跳过 Docker\u002F服务器。如果要自托管，留一下午跟一个友善的工程师把这四个搭起来。Claude Code agent 你完全可以一个人搞定。",{"q":107,"a":108},"为啥要两个 PM agent 不是一个？","不同的活。「PRDs & User Stories」agent（id 53）聚焦结构化输出：喂调研，返回带 user story 和验收标准的 PRD。「Product Manager」agent（id 4272）聚焦决策：「给定这个 backlog 和 capacity，下个 sprint 是啥」。一个 agent 同时干两件事，你会得到平庸的 PRD 和糊糊的优先级决策。并行跑不花钱；哪个合当下用哪个。",{"q":110,"a":111},"PostHog 的 session replay 真的值得搭，还是只是 nice-to-have？","这是 pack 里抓「功能正常但没人能找到」这种失败模式最有用的单一工具，而这正是「上线了」的 PRD 没把指标推动的 #1 原因。看一段用户在你的新流程里点来点去找不到的 session replay，比任何分析 dashboard 学到的都多。前端贴一段 JS 就行。下次发布前搭，不是指标没动了再搭。",{"q":113,"a":114},"本地转写工具（Meetily、Anarlog）真的跟 Otter \u002F Fireflies 一样好吗？","干净音频上的转写准确度：是的，两个都用 Whisper 内核，跟 Otter 差距小。在总结质量和会议特定功能（行动项提取、CRM 同步、日历集成）上：云端工具领先 6-12 个月。坚持跑本地工具的理由是：你**不能合法**在云端工具上做的访谈 — 医疗 PM、金融 PM、做 NDA 下高管访谈的任何人。两个都跑：销售电话用云端，敏感客户调研用本地。",{"q":116,"a":117},"本周就能开始的最小版本是啥？","三件套：STORM（一条 Claude Code install，10 分钟内出第一份能用的调研工件）、PM Agent: PRDs & User Stories（同样的安装路径，把 STORM 报告 + 你的笔记变成 PRD 草稿）、PostHog Cloud（免费注册、一段 JS、周末就有数据）。这三个能让你在一个 feature 上跑通完整的「调研 → PRD → 度量发出去的东西」循环。下周加 Meetily 和 Plane，之后按工作流的需要再加剩下的。",{"@context":119,"@type":120,"name":13,"description":121,"numberOfItems":122,"inLanguage":123},"https:\u002F\u002Fschema.org","ItemList","十个 AI 资产给一线产品经理：discovery 调研 agent、访谈转写、竞品分析、PRD 起草、路线图工具、产品分析。",10,"zh-CN",[125,129,133],{"url":126,"anchor":127,"reason":128},"\u002Fzh\u002Fai-tools-for\u002Fresearch","TokRepo 的 AI 调研工具集","STORM 和 Research Analyst agent 属于更大的调研目录",{"url":130,"anchor":131,"reason":132},"\u002Fzh\u002Ffeatured","TokRepo 精选资产","这十个资产是更大的精选目录的一部分",{"url":134,"anchor":135,"reason":136},"\u002Fzh\u002Ftopics","浏览其他角色 topic packs","工程师、数据、ML、独立创业者都有各自的角色 pack",[138,142,146],{"claim":139,"source_name":140,"source_url":141},"STORM 是 Stanford 出品的 LLM 系统，生成 Wikipedia 风格的带引用报告","STORM GitHub 项目","https:\u002F\u002Fgithub.com\u002Fstanford-oval\u002Fstorm",{"claim":143,"source_name":144,"source_url":145},"Plane 是 AGPL-3.0 协议的开源项目管理工具","Plane GitHub 仓库","https:\u002F\u002Fgithub.com\u002Fmakeplane\u002Fplane",{"claim":147,"source_name":148,"source_url":149},"PostHog 是开源产品分析平台，含 session replay 和 feature flag","PostHog 官网","https:\u002F\u002Fposthog.com\u002F",1680,"2026-05-22T14:00:00Z"]