[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"pack-detail-job-hunt-career-pivot-es":3,"seo:pack:job-hunt-career-pivot:es":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","Nuevo · esta semana","Búsqueda de Empleo & Cambio de Carrera — Kit IA","Diez picks para quien cambia de trabajo, sector o entra a ingeniería IA. Constructor de CV + base de conocimiento de LinkedIn + sistema de skill de búsqueda + tutor de algoritmos + entrevistas simuladas + tutor conductual + plantillas de carta + automatización de outreach + coach de comunicación + memoria persistente. En orden.",[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",42,{"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.",437,{"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...",31,{"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",217,"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":25,"title":103,"metaDescription":104,"h1":105,"tldr":106,"bodyMarkdown":107,"faq":108,"schema":124,"internalLinks":130,"citations":143,"wordCount":156,"generatedAt":157},"pack","Job Hunt & Career Pivot — 10 AI Picks for the Whole Funnel","Reactive Resume, Career-Ops, DeepTutor, Microsoft Study Mode, Mr. Ranedeer, Fabric, Sales Automator, Communication Coach, Notion MCP, Mem0 — a deliberate stack for resume, LinkedIn, algorithm prep, mock interviews, and cold outreach. Install in order.","Job Hunt & Career Pivot — One Stack for the Whole Funnel","Ten picks across five layers — resume, LinkedIn \u002F profile, algorithm prep, mock interview, and cold outreach. Brand first, then build the resume and LinkedIn, then drill algorithms, then rehearse interviews, then send cold email. Each tool earns its place; nothing here is a generic GPT wrapper.","## What's in this pack\n\nThis is the rig you'd actually build if you were leaving a job in two weeks and wanted to land somewhere better — not a directory of every job-search SaaS. Ten picks, organized into five layers:\n\n- **Resume layer** — Reactive Resume (open-source, AI-assisted, ATS-friendly export)\n- **Brand \u002F LinkedIn \u002F knowledge base** — Career-Ops (the spine), Notion MCP (job tracker), Mem0 (persistent context across applications)\n- **Algorithm and technical prep** — DeepTutor (Socratic algorithm tutor), Microsoft Study Mode (Claude \u002F GPT in active-recall mode)\n- **Mock interview and behavioral** — Mr. Ranedeer (personalized tutor prompt for behavioral \u002F STAR), Communication Excellence Coach (interview delivery)\n- **Cover letter and cold outreach** — Fabric (100+ writing patterns including cover letter \u002F pitch), Sales Automator (cold-email sequencing for networking)\n\nThe whole stack is open-source or free-tier, runs locally where possible, and works in any agent (Claude Code, Codex, Cursor, Gemini CLI). No platform lock-in. No paid \"career coach\" SaaS that disappears the day you sign an offer.\n\n## Install in this order\n\nOrder matters more here than in most packs. Each layer feeds the next.\n\n1. **Career-Ops** (id 3817) — the spine. This is a Claude Code skill that orchestrates your whole job search: tracks applications, drafts replies, summarizes JDs. Install first so every other tool drops into a real pipeline instead of a Notion graveyard.\n2. **Reactive Resume** (id 866) — the resume. 36k★ open-source, MIT, AI integration with Claude \u002F GPT \u002F Gemini, exports a clean ATS-friendly PDF. Build the master resume once; tailor per role.\n3. **Notion MCP** (id 838) — the job tracker. Connect Career-Ops to a Notion workspace so every application, JD, contact, and round becomes queryable by your agent. Replaces the 47-tab spreadsheet.\n4. **Mem0** (id 703) — persistent memory. Now your agent remembers \"I told Acme Corp's recruiter I'd follow up Friday\" across sessions and devices. Critical once you're juggling 15+ active threads.\n5. **DeepTutor** (id 4178) — algorithm prep. Doesn't give you LeetCode answers — walks you through the *approach* (constraints → patterns → complexity → code). Use 30 min\u002Fday, not 4 hours on weekends.\n6. **Microsoft Study Mode** (id 4434) — active-recall drilling. Flips into Socratic mode for system-design and behavioral. Pair with DeepTutor: one for algorithms, one for everything else.\n7. **Mr. Ranedeer** (id 24) — personalized behavioral interview tutor prompt. Drop it into Claude \u002F GPT and it teaches STAR \u002F SCQA framing tuned to your background.\n8. **Communication Excellence Coach** (id 4295) — delivery polish. Rehearse your answers, get feedback on filler words, hedging, structure. The last 10% that decides offer vs. rejection.\n9. **Fabric** (id 312) — writing patterns. Run `fabric -p write_pull_request` style patterns for cover letters, follow-ups, recruiter outreach. 100+ patterns means you stop asking ChatGPT \"write me a cover letter\" cold.\n10. **Sales Automator** (id 4307) — cold outreach sequencing. Built for sales but the email patterns map 1:1 to networking outreach for career pivots — first message, follow-up at day 4, value-add at day 9.\n\n## How they fit together\n\n```\n         Career-Ops (skill spine)\n              │\n   ┌──────────┼──────────────┬─────────────────┐\n   │          │              │                 │\nReactive   Notion MCP +    DeepTutor +     Fabric +\nResume     Mem0 (memory)   MS Study Mode   Sales Automator\n   │          │              │                 │\n   │       LinkedIn \u002F     LeetCode \u002F         Cover letter,\n   │       JD tracking    system design      cold email,\n   │                                          recruiter ping\n   │\n   └─→  PDF + ATS export → apply → Communication Coach → interview\n                                          ↑\n                            Mr. Ranedeer (behavioral \u002F STAR)\n```\n\nThe top of funnel — **positioning, resume, LinkedIn** — is one thing. The middle — **algorithm + system design + behavioral practice** — is a second. The bottom — **cold email, networking, interview delivery** — is a third. This pack assigns one to three tools per layer so each layer has a clear default.\n\n## Tradeoffs you'll hit\n\n- **AI resume vs. ATS reality** — every \"AI resume builder\" promises to beat ATS. The truth is most ATS systems do simple keyword + section parsing. Reactive Resume's plain-text export wins because it doesn't fight the parser. Avoid templates with multi-column layouts, icons in headers, or images of skills bars — they break parsing.\n- **Mock interview AI vs. real humans** — DeepTutor + MS Study Mode are infinite, free, and never judge you. They cannot replicate the cognitive load of being grilled by a hiring manager at 9pm on a Tuesday. Use AI for reps (50 problems \u002F 20 mock behaviorals), then book 2-3 real mocks before the actual loop.\n- **Algorithm depth vs. breadth** — for one specific company you can drill their top-50 tagged questions. For a 3-month pivot you need the breadth: arrays \u002F strings \u002F trees \u002F graphs \u002F DP \u002F BFS \u002F DFS \u002F two pointers \u002F sliding window. Pick a curriculum (Neetcode 150 or Blind 75), then use DeepTutor on the questions you get stuck on.\n- **Career-Ops skill vs. SaaS career platforms** — Career-Ops lives in your editor and integrates with Notion MCP + Mem0. The SaaS alternatives (Careerflow, Teal, Simplify) are polished but you pay monthly and walk away with nothing. Career-Ops gives you data ownership and agent extensibility.\n\n## Common pitfalls\n\n- **AI-written resume reads generic and forgettable** — every recruiter has read 200 AI-generated resumes this month. The fix isn't \"better prompts\" — it's specifics: dollar amounts, percentages, named systems, before\u002Fafter metrics. Use AI to *structure* and *tighten* the bullets you already wrote, not to invent them.\n- **LinkedIn keyword-stuffing tanks profile views** — LinkedIn's algorithm has gotten good at detecting paragraphs of stuffed skills. Write the headline and About like a human. Put keywords in *experience bullets* where they belong.\n- **Cold-emailing without researching the company** — 30 seconds of research on the company's last 3 product launches lifts reply rate dramatically. Don't skip this for speed. One 80-word email per company beats 50 templated emails.\n- **Mass-applying with a generic cover letter** — most are skim-read in 8 seconds. If you're using Fabric for cover letters, customize at least the first sentence and one mid-paragraph reference to the role \u002F product. The rest can be templated.\n- **Not tracking what's working** — without Notion MCP + Mem0, by week 6 you won't remember which subject line got replies, which referral source converted, which role types you actually interview well for. Track from day one.",[109,112,115,118,121],{"q":110,"a":111},"Will an AI-written resume get rejected by ATS systems?","Not because it's AI-written — ATS systems don't detect AI. They reject resumes that fail keyword matching or break parsing. The risk with AI resumes is that they read generic and forgettable to the human reviewer who reads it after ATS passes. Use Reactive Resume's clean text-based export for ATS compatibility, then make sure each bullet has specifics (numbers, system names, scope) that a human will remember.",{"q":113,"a":114},"What LinkedIn metrics should I actually optimize for?","Profile views per week (target 50+ if you're actively searching), search appearances (proxy for keyword fit), and InMail \u002F connection-request reply rate (proxy for how compelling your profile is once someone lands). Vanity metrics like followers and post likes matter only if you're job-hunting in public. Optimize headline + About + featured first; those drive 80% of profile conversion.",{"q":116,"a":117},"Which mock interview tool should I actually pick?","For algorithms: DeepTutor for the Socratic walkthrough (it asks you what approach you'd try before showing code), or any IDE with Claude \u002F GPT in the chat. For behavioral: Mr. Ranedeer with a STAR-framing prompt — it role-plays the interviewer and gives you delivery feedback. For final polish 1-2 weeks before the loop, book 2-3 sessions with real humans (peers in your target field beat paid coaching for technical realism). AI for reps, humans for the loop.",{"q":119,"a":120},"How long does a career pivot to AI engineering realistically take?","Depends on starting point. If you're a working software engineer adding LLM \u002F agent skills: 8-12 weeks of focused side projects + 4-6 weeks of active applying. If you're transitioning from a non-engineering role: assume 6-12 months including foundational coding + one shipped portfolio project + targeted networking. The pack helps with the application loop, not with closing the underlying skill gap — be honest about which one you're solving for.",{"q":122,"a":123},"What's a realistic reply rate for cold-email outreach?","For warm outreach (someone you have a 2nd-degree connection to, with a specific reason): 20-40% reply rate is normal. For cold outreach (no connection, generic subject): 2-8%. The difference is research, specificity, and value — not volume. A short, well-researched email referencing the recipient's recent work or a specific company initiative beats 100 templated messages. Track reply rate by template in Notion; iterate weekly.",{"@context":125,"@type":126,"name":127,"description":128,"numberOfItems":129,"inLanguage":25},"https:\u002F\u002Fschema.org","ItemList","Job Hunt & Career Pivot — AI Toolkit","Ten AI tools spanning resume, LinkedIn, algorithm prep, mock interview, and cold outreach — installed in deliberate order for someone changing jobs or pivoting into AI engineering.",10,[131,135,139],{"url":132,"anchor":133,"reason":134},"\u002Fen\u002Ftopics\u002Fai-personal-tutor-learning","AI Personal Tutor + Self-Learning pack","Algorithm and interview prep both share the active-recall \u002F Socratic tooling from the tutor pack",{"url":136,"anchor":137,"reason":138},"\u002Fen\u002Ftopics\u002Fai-hr-recruiting-stack","AI HR & Recruiting Stack pack","Mirror-side view: what recruiters and hiring teams are using to evaluate candidates",{"url":140,"anchor":141,"reason":142},"\u002Fen\u002Ftopics","Browse other curated topic packs","TokRepo hosts packs across coding agents, learning, marketing, and personal productivity",[144,148,152],{"claim":145,"source_name":146,"source_url":147},"Reactive Resume is an open-source resume builder with AI integration","Reactive Resume GitHub","https:\u002F\u002Fgithub.com\u002FAmruthPillai\u002FReactive-Resume",{"claim":149,"source_name":150,"source_url":151},"Fabric is a framework with 100+ prompt patterns for everyday tasks including writing","Fabric on GitHub","https:\u002F\u002Fgithub.com\u002Fdanielmiessler\u002Ffabric",{"claim":153,"source_name":154,"source_url":155},"Mem0 provides a persistent memory layer for AI applications","Mem0 official site","https:\u002F\u002Fmem0.ai\u002F",905,"2026-05-23T00:00:00Z"]