[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"pack-detail-job-hunt-career-pivot-zh":3,"seo:pack:job-hunt-career-pivot:zh":101},{"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":100},"job-hunt-career-pivot","🎯","#3B82F6","new","本周新建","AI 求职转行全套","面向跳槽、转行、转 AI 工程师的十个工具：开源简历生成器 + LinkedIn \u002F 个人知识库 + 求职 Skill 系统 + 算法辅导 + 模拟面试苏格拉底模式 + 行为面试导师 + cover letter \u002F cold email 范式 + 外联自动化 + 面试沟通教练 + 跨投递的持久记忆。按推荐顺序：先定位 → 优化简历 + LinkedIn → 刷题 → 模拟面试 → cold email。",[16,28,36,43,51,58,68,75,82,92],{"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},866,"0d39058c-33e3-11f1-9bc6-00163e2b0d79","reactive-resume-ai-powered-open-source-resume-builder-0d39058c","Reactive Resume — AI-Powered Open-Source Resume Builder","Free open-source resume builder with AI integration. Supports Claude, GPT, Gemini for content generation. Drag-and-drop, PDF export, self-hostable, privacy-first. MIT, 36,000+ stars.","AI Open Source",254,0,"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},3817,"06a29ae9-8273-5377-a4e5-96e0437dea10","career-ops-claude-code-job-search-skill-system","Career-Ops — Claude Code Job Search Skill System","Career-Ops is a Claude Code skill system for job search: 14 modes, batch eval via `claude -p`, and a Go dashboard with PDF output (44.5k★).","Skill Factory",51,{"id":37,"uuid":38,"slug":39,"title":40,"description":41,"author_name":22,"view_count":42,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4178,"bab2efd8-5293-11f1-9bc6-00163e2b0d79","deeptutor-ai-powered-personalized-learning-assistant-bab2efd8","DeepTutor — AI-Powered Personalized Learning Assistant","An agent-native learning platform that uses multi-agent systems and deep research to provide interactive, personalized tutoring from any document or paper.",77,{"id":44,"uuid":45,"slug":46,"title":47,"description":48,"author_name":49,"view_count":50,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4434,"2cf35906-3ad2-4486-9b1c-f1d756166134","claude-code-agent-microsoft-study-mode-2cf35906","Claude Code Agent: Microsoft Study Mode","Activate your personal Microsoft\u002FAzure tutor - learn through guided discovery, not just answers.","TokRepo精选",44,{"id":52,"uuid":53,"slug":54,"title":55,"description":56,"author_name":49,"view_count":57,"vote_count":24,"lang_type":25,"type":26,"type_label":27},24,"08be0198-969e-4daa-be30-2fec2a868e87","mr-ranedeer-personalized-ai-tutor-prompt-08be0198","Mr. Ranedeer — Personalized AI Tutor Prompt","GPT-4 system prompt that creates a personalized AI tutor. Adapts to your learning level, language, and style. Used by 30K+ learners.",438,{"id":59,"uuid":60,"slug":61,"title":62,"description":63,"author_name":64,"view_count":65,"vote_count":24,"lang_type":25,"type":66,"type_label":67},312,"64bf132d-10f5-4c1a-adcc-9fb19af8cb3b","fabric-100-ai-prompt-patterns-everything-64bf132d","Fabric — 100+ AI Prompt Patterns for Everything","Fabric organizes 100+ AI prompt patterns for real-world tasks. 40.3K+ GitHub stars. 20+ providers, CLI + REST API, custom patterns. MIT.","Prompt Lab",193,"prompt","Prompt",{"id":69,"uuid":70,"slug":71,"title":72,"description":73,"author_name":49,"view_count":74,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4307,"46b405be-441e-4d57-90f5-d6a386fe6591","claude-code-agent-sales-automator-46b405be","Claude Code Agent: Sales Automator","Sales automation and outreach specialist. Use PROACTIVELY for cold email campaigns, follow-up sequences, proposal templates, case studies, sales scripts, and conversion...",32,{"id":76,"uuid":77,"slug":78,"title":79,"description":80,"author_name":49,"view_count":81,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4295,"aadd0579-94e1-4e7f-8054-c8b99590565a","claude-code-agent-communication-excellence-coach-aadd0579","Claude Code Agent: Communication Excellence Coach","Communication specialist providing email refinement, tone calibration, roleplay practice for difficult conversations, and presentation feedback with research-backed suggestions",26,{"id":83,"uuid":84,"slug":85,"title":86,"description":87,"author_name":88,"view_count":89,"vote_count":24,"lang_type":25,"type":90,"type_label":91},838,"32ffd470-52d3-4616-b088-122358a85cef","notion-mcp-connect-ai-agents-your-knowledge-base-32ffd470","Notion MCP — Connect AI Agents to Your Knowledge Base","Official MCP server for Notion workspace access. Search pages, read content, create and update databases, and manage tasks in Notion through Claude Code tool calls.","Notion",218,"mcp","MCP",{"id":93,"uuid":94,"slug":95,"title":96,"description":97,"author_name":98,"view_count":99,"vote_count":24,"lang_type":25,"type":26,"type_label":27},703,"96da1f40-1823-4d87-a84f-7d8269edeb24","mem0-memory-layer-ai-applications-96da1f40","Mem0 — Memory Layer for AI Applications","Add persistent, personalized memory to AI agents and assistants. Mem0 stores user preferences, past interactions, and learned context across sessions.","Mem0",720,"tokrepo install pack\u002Fjob-hunt-career-pivot",{"pageType":102,"pageKey":8,"locale":103,"title":104,"metaDescription":105,"h1":106,"tldr":107,"bodyMarkdown":108,"faq":109,"schema":125,"internalLinks":131,"citations":144,"wordCount":157,"generatedAt":158},"pack","zh","AI 求职转行全套 — 简历 \u002F LinkedIn \u002F 算法 \u002F 模拟面试 \u002F Cold Email 十件套","Reactive Resume \u002F Career-Ops \u002F DeepTutor \u002F Microsoft Study Mode \u002F Mr. Ranedeer \u002F Fabric \u002F Sales Automator \u002F Communication Coach \u002F Notion MCP \u002F Mem0 — 跳槽、转行、转 AI 工程师的全流程工具包。含推荐安装顺序、各层取舍、踩坑提醒。","AI 求职转行全套 — 一条完整的转跳漏斗","十个工具分五层 — 简历、LinkedIn \u002F 个人定位、算法刷题、模拟面试、cold email。先定位 → 建简历和 LinkedIn → 刷算法 → 练面试 → 发 cold email。每个工具都有清晰用途，没有一个是套壳 GPT。","## 这个 pack 包含什么\n\n这是一个真要在两周内离职、要落到更好下家的人会装的工具栈 — 不是一个把所有求职 SaaS 罗列一遍的目录。十个工具按五层组织：\n\n- **简历层** — Reactive Resume（开源、AI 辅助、ATS 友好导出）\n- **个人定位 \u002F LinkedIn \u002F 知识库** — Career-Ops（脊椎）、Notion MCP（求职追踪）、Mem0（跨投递的持久上下文）\n- **算法和技术准备** — DeepTutor（苏格拉底式算法辅导）、Microsoft Study Mode（Claude \u002F GPT 主动回忆模式）\n- **模拟面试和行为面试** — Mr. Ranedeer（行为 \u002F STAR 个性化导师 prompt）、Communication Excellence Coach（面试沟通）\n- **Cover Letter 和 Cold Outreach** — Fabric（100+ 写作范式含 cover letter）、Sales Automator（cold email 序列化）\n\n整套全部**开源或免费版**，能本地跑就本地跑，在任何 agent（Claude Code \u002F Codex \u002F Cursor \u002F Gemini CLI）里都能用。没有平台绑定，没有「拿到 offer 那天就把你抛弃」的付费 career coach SaaS。\n\n## 推荐安装顺序\n\n顺序在这里比在大多数 pack 里更重要 — 每一层都喂下一层。\n\n1. **Career-Ops**（id 3817）— 脊椎。这是一个 Claude Code skill，编排你整个求职过程：追踪投递、起草回复、总结 JD。**先装它**，让后面所有工具进入一条真实管线，而不是又一个 Notion 坟场。\n2. **Reactive Resume**（id 866）— 简历。36k★ 开源、MIT、集成 Claude \u002F GPT \u002F Gemini、导出干净的 ATS 友好 PDF。**主简历做一次**，每个岗位再针对性微调。\n3. **Notion MCP**（id 838）— 求职追踪。把 Career-Ops 连到 Notion 工作区，每一份投递、JD、联系人、面试轮都被你的 agent 可查询。**取代那张 47 个 tab 的表格。**\n4. **Mem0**（id 703）— 持久记忆。你的 agent 终于会记得「我和 Acme 招聘说周五跟进」across sessions and devices。同时推进 15+ 条主线时，这条没的话第三周就乱套。\n5. **DeepTutor**（id 4178）— 算法准备。**不直接给 LeetCode 答案** — 带你走思路（约束条件 → 模式 → 复杂度 → 代码）。每天 30 分钟比周末 4 小时有效。\n6. **Microsoft Study Mode**（id 4434）— 主动回忆训练。切到苏格拉底模式做系统设计和行为面试。和 DeepTutor 搭配：一个练算法，一个练其他。\n7. **Mr. Ranedeer**（id 24）— 行为面试个性化导师 prompt。塞到 Claude \u002F GPT 里，根据你背景教 STAR \u002F SCQA 框架。\n8. **Communication Excellence Coach**（id 4295）— 表达打磨。演练答案、得到 filler word \u002F hedging \u002F 结构的反馈。决定 offer vs 婉拒的最后 10%。\n9. **Fabric**（id 312）— 写作范式。跑 `fabric -p write_pull_request` 风格的 pattern 写 cover letter、follow-up、招聘官 outreach。**100+ pattern** 意味着你不用再冷启动「帮我写一封 cover letter」。\n10. **Sales Automator**（id 4307）— cold outreach 序列化。原本给销售用，但邮件 pattern 和转行 networking outreach 1:1 对应 — 首封 + 第 4 天跟进 + 第 9 天提供价值。\n\n## 它们怎么协同\n\n```\n         Career-Ops（Skill 脊椎）\n              │\n   ┌──────────┼──────────────┬─────────────────┐\n   │          │              │                 │\nReactive   Notion MCP +    DeepTutor +      Fabric +\nResume     Mem0（记忆）     MS Study Mode    Sales Automator\n   │          │              │                 │\n   │       LinkedIn \u002F     LeetCode \u002F        Cover letter \u002F\n   │       JD 追踪        系统设计           cold email \u002F\n   │                                          招聘官 ping\n   │\n   └─→ PDF + ATS 导出 → 投递 → Communication Coach → 面试\n                                       ↑\n                          Mr. Ranedeer（行为 \u002F STAR）\n```\n\n漏斗顶 — **定位、简历、LinkedIn** — 是一回事。漏斗中 — **算法 + 系统设计 + 行为练习** — 是第二件事。漏斗底 — **cold email、networking、面试表达** — 是第三件事。本 pack 给每层指定 1-3 个工具，每层都有清晰的默认选项。\n\n## 你会遇到的取舍\n\n- **AI 简历 vs ATS 现实** — 每个「AI 简历生成器」都吹能打败 ATS。真相是大多 ATS 做的是简单的关键词 + 段落匹配。Reactive Resume 的纯文本导出能赢，是因为它**不跟解析器对抗**。避免多列布局、抬头里加图标、技能条用图片 — 都会破坏解析。\n- **AI 模拟面试 vs 真人** — DeepTutor + MS Study Mode 无限、免费、不评判你。但它们**无法复制**周二晚 9 点被招聘经理连环追问的认知负荷。**AI 用来刷量**（50 题 \u002F 20 个行为题），然后正式 loop 前**预订 2-3 场真人 mock**。\n- **算法深度 vs 广度** — 对一家特定公司可以刷它 tag 前 50。对 3 个月的转行需要广度：数组 \u002F 字符串 \u002F 树 \u002F 图 \u002F DP \u002F BFS \u002F DFS \u002F 双指针 \u002F 滑动窗口。**先选一套大纲**（Neetcode 150 或 Blind 75），卡住的题再上 DeepTutor。\n- **Career-Ops Skill vs 付费 SaaS** — Career-Ops 跑在你编辑器里，和 Notion MCP + Mem0 集成。付费 SaaS（Careerflow \u002F Teal \u002F Simplify）做得精致，但你按月付费，离开时一无所有。**Career-Ops 给你数据所有权和 agent 扩展性。**\n\n## 常见踩坑\n\n- **AI 写的简历读起来通用、忘记快** — 每个招聘官这个月已经看过 200 份 AI 生成简历。修法不是「更好的 prompt」 — 是**具体**：金额、百分比、具体系统名、前后对比指标。AI 用来**结构化和精简**你已经写的 bullet，不是发明它们。\n- **LinkedIn 关键词堆砌反而掉曝光** — LinkedIn 算法已经能识别堆砌段落。Headline 和 About 写得像人。**关键词放到 experience bullet** 里，那里才是它们该在的地方。\n- **不研究公司就直接 cold email** — 花 30 秒研究公司最近 3 个产品发布，**回复率显著提升**。别为了快跳过。一家公司一封 80 字的精准邮件，胜过 50 封模板邮件。\n- **海投 + 通用 cover letter** — 大多 cover letter 被 8 秒扫读。如果用 Fabric 写 cover letter，**至少第一句和中间一段要针对具体角色 \u002F 产品定制**，剩下可以模板化。\n- **不追踪有效动作** — 没有 Notion MCP + Mem0，第 6 周你不会记得哪个 subject line 有回复、哪个 referral 来源转化了、哪类岗位你面起来真的顺。**第 1 天就开始追踪。**",[110,113,116,119,122],{"q":111,"a":112},"AI 写的简历会被 ATS 自动拒吗？","不会因为「是 AI 写的」就被拒 — ATS 不检测 AI。它拒的是关键词不匹配或解析失败的简历。AI 简历真正的风险是**对人来说读起来通用、忘得快**，过了 ATS 也过不了 HR 这一关。用 Reactive Resume 的纯文本导出保证 ATS 兼容，然后确保每个 bullet 都有**具体数字、系统名、规模**这种人会记得的细节。",{"q":114,"a":115},"LinkedIn 优化到底看什么指标？","每周 profile views（积极找工作时目标 50+）、search appearances（关键词适配度的代理指标）、InMail \u002F 加好友回复率（profile 落地后吸引力的代理指标）。followers、post likes 这种虚荣指标只在你「公开找工作」时才有意义。**优先优化 headline + About + featured 三块** — 它们决定 80% 的 profile 转化。",{"q":117,"a":118},"模拟面试到底该用哪个工具？","**算法**：DeepTutor 做苏格拉底式带练（先问你思路再给代码），或任何 IDE 里塞 Claude \u002F GPT 到 chat。**行为面试**：Mr. Ranedeer 加 STAR 框架 prompt — 它扮演面试官并给表达反馈。**正式 loop 前 1-2 周**预订 2-3 场真人（同领域 peer 比付费教练在技术真实感上更好）。**AI 用来刷量，真人用来对线**。",{"q":120,"a":121},"转行到 AI 工程师真实要多久？","看起点。**已经是软件工程师**，加 LLM \u002F agent 技能：8-12 周专注 side project + 4-6 周积极投递。**从非工程岗转**：6-12 个月，含基础编码 + 一个真上线的 portfolio project + 定向 networking。这个 pack 帮你打通**投递这条管线**，不解决底层技能差距 — **诚实地问自己解决的是哪一个**。",{"q":123,"a":124},"Cold email outreach 回复率多少算正常？","**温暖外联**（你有 2 度共同好友、有具体由头）：20-40% 回复率正常。**冷外联**（无联系、通用主题）：2-8%。差距来自**研究、具体性、价值** — 不是量。一封简短、做过研究、提到对方近期工作或公司具体动作的邮件，胜过 100 封模板。**按模板在 Notion 追踪回复率，每周迭代。**",{"@context":126,"@type":127,"name":13,"description":128,"numberOfItems":129,"inLanguage":130},"https:\u002F\u002Fschema.org","ItemList","十个 AI 工具覆盖简历、LinkedIn、算法准备、模拟面试、cold outreach 五层，按推荐顺序安装，专为跳槽、转行、转 AI 工程师的人设计。",10,"zh-CN",[132,136,140],{"url":133,"anchor":134,"reason":135},"\u002Fzh\u002Ftopics\u002Fai-personal-tutor-learning","AI 个人导师 + 自学包","算法和面试准备都共用自学 pack 里的主动回忆 \u002F 苏格拉底工具",{"url":137,"anchor":138,"reason":139},"\u002Fzh\u002Ftopics\u002Fai-hr-recruiting-stack","AI HR & 招聘工具栈","镜像视角：招聘方在用什么 AI 评估候选人",{"url":141,"anchor":142,"reason":143},"\u002Fzh\u002Ftopics","浏览其他主题 pack","TokRepo 还有编码 agent、学习、市场、个人生产力等多个主题 pack",[145,149,153],{"claim":146,"source_name":147,"source_url":148},"Reactive Resume 是集成 AI 的开源简历生成器","Reactive Resume GitHub 仓库","https:\u002F\u002Fgithub.com\u002FAmruthPillai\u002FReactive-Resume",{"claim":150,"source_name":151,"source_url":152},"Fabric 是一个含 100+ prompt pattern 的框架（含写作）","Fabric GitHub 仓库","https:\u002F\u002Fgithub.com\u002Fdanielmiessler\u002Ffabric",{"claim":154,"source_name":155,"source_url":156},"Mem0 为 AI 应用提供持久记忆层","Mem0 官网","https:\u002F\u002Fmem0.ai\u002F",895,"2026-05-23T00:00:00Z"]