[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cat:01JBSEEDCAT000000000000038":3,"cat-list:01JBSEEDCAT000000000000038:stars:1":14},{"categoryNo":4,"taxonomyType":5,"taxonomyTypeDesc":6,"categoryName":7,"categoryNameEn":8,"description":9,"level":10,"skillCount":11,"parentNo":12,"parentName":12,"children":13},"01JBSEEDCAT000000000000038","PROFESSION","适用职业","人力资源","Human Resources","招聘、培训与员工关系人员",1,1590,null,[],{"records":15,"total":11,"current":10,"size":380},[16,61,90,110,134,150,158,166,174,180,188,221,251,257,292,310,316,355],{"skillNo":17,"name":18,"nameZh":12,"description":19,"descriptionZh":12,"repositoryFullName":20,"ownerLogin":21,"ownerAvatarUrl":22,"ownerAccountNo":23,"ownerDisplayName":24,"repositoryNo":25,"starsCount":26,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":28,"categories":29,"keywords":39,"publishedAt":60},"01M6ERNKG9FZ3WGJ87B975SHW5","start-learning","One-time onboarding for the AI Engineering from Scratch curriculum (542 lessons, 20 phases). Interviews the learner, runs the placement quiz, and writes LEARNING.md, a persistent study plan the learn skill drives. Trigger phrases: \"start learning\", \"set up the course\", \"begin the curriculum\", \"onboard me\", \"create my learning plan\"","rohitg00\u002Fai-engineering-from-scratch","rohitg00","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F48523873?v=4","01M6ERFX7W55NRHW3AV85T2MM8","Rohit Ghumare","01M6ERFXCHT482XQFVY40TM2FN",78316,"MIT","https:\u002F\u002Fgithub.com\u002Frohitg00\u002Fai-engineering-from-scratch\u002Fblob\u002Fmain\u002Fskills\u002Fstart-learning\u002FSKILL.md",[30,35,36],{"categoryNo":31,"categoryName":32,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},{"categoryNo":37,"categoryName":38,"taxonomyType":5,"taxonomyTypeDesc":6},"01JBSEEDCAT000000000000039","教师与教育",[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59],"start","learning","start learning","SET","ai-engineering","time","up","learn","ai engineering","create","plan","me","course","learner","curriculum","study","trigger","interviews","my","for","2026-11-10 10:12:30",{"skillNo":62,"name":63,"nameZh":12,"description":64,"descriptionZh":12,"repositoryFullName":20,"ownerLogin":21,"ownerAvatarUrl":22,"ownerAccountNo":23,"ownerDisplayName":24,"repositoryNo":25,"starsCount":26,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":65,"categories":66,"keywords":70,"publishedAt":60},"01M6ERNAC0DQ8ER3A99VQBXNNZ","mcpa-certification","AI-native tutor and onboarding workflow for the MCPA (Model Context Protocol Associate) certification in AI Engineering from Scratch. Use when a learner wants to prepare for the MCPA, resume their certification path, learn the next lesson interactively, run and verify practical labs, take the diagnostic or a full mock, or remediate weak exam domains from GitHub with Claude Code, Codex, ChatGPT, Cursor, or another agent.","https:\u002F\u002Fgithub.com\u002Frohitg00\u002Fai-engineering-from-scratch\u002Fblob\u002Fmain\u002Fskills\u002Fmcpa-certification\u002FSKILL.md",[67,68,69],{"categoryNo":31,"categoryName":32,"taxonomyType":33,"taxonomyTypeDesc":34},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},{"categoryNo":37,"categoryName":38,"taxonomyType":5,"taxonomyTypeDesc":6},[71,72,73,74,75,76,77,47,78,79,80,48,81,82,83,84,85,86,87,88,89],"mcpa certification","certification","lesson","practical","model","domains","exam","workflow","code","model context protocol","native","next","run","take","chatgpt","full","context","ai-native","when",{"skillNo":91,"name":47,"nameZh":12,"description":92,"descriptionZh":12,"repositoryFullName":20,"ownerLogin":21,"ownerAvatarUrl":22,"ownerAccountNo":23,"ownerDisplayName":24,"repositoryNo":25,"starsCount":26,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":93,"categories":94,"keywords":98,"publishedAt":60},"01M6ERN1HS8HW1TRJVX5P7SPY0","Interactive lesson tutor for the AI Engineering from Scratch curriculum. Reads LEARNING.md, fetches the next lesson, teaches it section by section in the terminal, quizzes at the end, and records progress. Works cloned or entirely over raw.githubusercontent.com — no setup required. Trigger phrases: \"next lesson\", \"teach me\", \"continue the course\", \"let's learn\", \"resume learning\"","https:\u002F\u002Fgithub.com\u002Frohitg00\u002Fai-engineering-from-scratch\u002Fblob\u002Fmain\u002Fskills\u002Flearn\u002FSKILL.md",[95,96,97],{"categoryNo":31,"categoryName":32,"taxonomyType":33,"taxonomyTypeDesc":34},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},{"categoryNo":37,"categoryName":38,"taxonomyType":5,"taxonomyTypeDesc":6},[47,73,44,99,48,51,100,82,101,52,54,56,102,103,41,104,105,106,107,59,108,109],"end","progress","terminal","records","continue","interactive","interactive-learning","From Scratch","at","section","scratch",{"skillNo":111,"name":112,"nameZh":12,"description":113,"descriptionZh":12,"repositoryFullName":20,"ownerLogin":21,"ownerAvatarUrl":22,"ownerAccountNo":23,"ownerDisplayName":24,"repositoryNo":25,"starsCount":26,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":114,"categories":115,"keywords":117,"publishedAt":60},"01M6HNVHDJPDRK3YJJE0QNC1VP","interview-prep","Mock interview coach for AI engineering roles, built on the interview bank of AI Engineering from Scratch. Asks one question or one incident scenario, stops, and waits for the learner's own answer. Then it grades the answer against the bank, asks follow-ups one at a time, sends each gap to the lessons and manual sections that teach it, and keeps an append-only record in INTERVIEW-LEARNING.md. Trigger phrases: \"interview prep\", \"mock interview\", \"ask me an interview question\", \"practise for my AI engineering interview\", \"run an incident scenario\", \"debugging round\", \"system design round\", \"inference engineer loop\", \"review my interview gaps\", \"how ready am I for the interview\"","https:\u002F\u002Fgithub.com\u002Frohitg00\u002Fai-engineering-from-scratch\u002Fblob\u002Fmain\u002Fskills\u002Finterview-prep\u002FSKILL.md",[116],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[118,119,120,121,44,122,123,45,124,125,126,127,128,129,130,131,132,48,133,51],"interview prep","interview","prep","follow-ups","system design","ready","incident","engineer","design","only","question","loop","debugging","ask","one at a time","review",{"skillNo":135,"name":136,"nameZh":12,"description":137,"descriptionZh":12,"repositoryFullName":20,"ownerLogin":21,"ownerAvatarUrl":22,"ownerAccountNo":23,"ownerDisplayName":24,"repositoryNo":25,"starsCount":26,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":138,"categories":139,"keywords":143,"publishedAt":60},"01M6ERM2QQ5H9X3Q7650P0TPGA","claude-certification","AI-native tutor and onboarding workflow for the four independent Claude certification tracks in AI Engineering from Scratch. Use when a learner wants to choose a Claude certification, prepare for CCAO-F, CCDV-F, CCAR-F, or CCAR-P, resume a certification path, learn the next lesson interactively, run and verify practical labs, build scored artifacts, take a diagnostic or mock exam, or remediate weak exam domains from GitHub with Claude Code, Codex, ChatGPT, Cursor, or another agent.","https:\u002F\u002Fgithub.com\u002Frohitg00\u002Fai-engineering-from-scratch\u002Fblob\u002Fmain\u002Fskills\u002Fclaude-certification\u002FSKILL.md",[140,141,142],{"categoryNo":31,"categoryName":32,"taxonomyType":33,"taxonomyTypeDesc":34},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},{"categoryNo":37,"categoryName":38,"taxonomyType":5,"taxonomyTypeDesc":6},[144,72,73,74,145,76,77,47,78,79,48,81,82,83,84,85,88,53,146,147,89,148,149],"claude 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onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash\u002Fprovision\u002Freset an M5Stack or ESP32 board, or says \"m5-onboard go\".","anthropics\u002Fclaude-plugins-official","anthropics","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4","01M697XGDPXJAVQ8391V2BCYTE","Anthropic","01M7188MR49TZ9N2ZKPXJ7M7HY",46789,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fclaude-plugins-official\u002Fblob\u002Fmain\u002Fplugins\u002Fcwc-makers\u002Fskills\u002Fm5-onboard\u002FSKILL.md",[202],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[204,205,206,207,208,59,99,209,146,210,211,212,213,214,215,216,217,218,219,220],"m5 onboard","onboard","app","firmware","core","esp32","reset","usb","detect","board","buddy","install","go","flash","bundle","device","user",{"skillNo":222,"name":223,"nameZh":12,"description":224,"descriptionZh":12,"repositoryFullName":225,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":226,"starsCount":227,"licenseSpdxId":199,"licenseFileUrl":12,"sourceHtmlUrl":228,"categories":229,"keywords":231,"publishedAt":60},"01M718J48GPADJNVNZG6RY5WS6","kyc-doc-parse","Parse an investor or client onboarding packet into structured KYC fields — identity, ownership, control, source of funds, and document inventory. Use as the first step of KYC screening; output feeds the rules engine.","anthropics\u002Ffinancial-services","01M7188Y8CSYMMZ40A4B4N518V",41213,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Foperations\u002Fskills\u002Fkyc-doc-parse\u002FSKILL.md",[230],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[232,233,234,235,236,237,238,146,239,240,241,242,243,244,245,246,247,248,249,250],"kyc doc parse","parse","kyc","doc","feeds","as","inventory","Rules","document","output","engine","first","control","onboarding packet","client onboarding","fields","screening","client","source",{"skillNo":252,"name":223,"nameZh":12,"description":224,"descriptionZh":12,"repositoryFullName":225,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":226,"starsCount":227,"licenseSpdxId":199,"licenseFileUrl":12,"sourceHtmlUrl":253,"categories":254,"keywords":256,"publishedAt":60},"01M7189VWXTCNW1F6DHT9V9YY3","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fagent-plugins\u002Fkyc-screener\u002Fskills\u002Fkyc-doc-parse\u002FSKILL.md",[255],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[232,233,234,235,236,237,238,146,239,240,241,242,243,244,245,246,247,248,249,250],{"skillNo":258,"name":259,"nameZh":12,"description":260,"descriptionZh":12,"repositoryFullName":261,"ownerLogin":262,"ownerAvatarUrl":263,"ownerAccountNo":264,"ownerDisplayName":265,"repositoryNo":266,"starsCount":267,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":268,"categories":269,"keywords":271,"publishedAt":60},"01M6CDHWV09BH1PZ1YZVZNAGAV","contributor-onboarding","Help a new contributor get productive on this checkout - inspect sync state against main, build, run the repository's exact verification gate, and produce a local what's-new digest. Never fetches, pulls, or modifies a dirty tree on its own. Explicit-only.","codewhale-hq\u002FCodewhale","codewhale-hq","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F326694313?v=4","01M6CDD9D70AD3631SMRJ7REW4","Codewhale","01M6CDD9H0VAXYCB2NGGPZC16K",41175,"https:\u002F\u002Fgithub.com\u002Fcodewhale-hq\u002FCodewhale\u002Fblob\u002Fmain\u002Fdocs\u002Fskills\u002Fcontributor-onboarding\u002FSKILL.md",[270],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[272,273,274,275,127,276,277,278,279,83,280,281,282,283,284,285,286,287,288,289,290,291],"contributor onboarding","onboarding","contributor","never","produce","state","verification","help","repository","sync","gate","verification gate","get","checkout","inspect","local","new","main","digest","tree",{"skillNo":293,"name":119,"nameZh":12,"description":294,"descriptionZh":12,"repositoryFullName":261,"ownerLogin":262,"ownerAvatarUrl":263,"ownerAccountNo":264,"ownerDisplayName":265,"repositoryNo":266,"starsCount":267,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":295,"categories":296,"keywords":299,"publishedAt":60},"01M6CDFNSAWDE908J7JHH30D1Y","Ask one useful structured question at a time only when material product\u002Fimplementation choices are genuinely missing; remember answers and produce a brief\u002Fspec. Discoverable facts should be investigated instead of asked.","https:\u002F\u002Fgithub.com\u002Fcodewhale-hq\u002FCodewhale\u002Fblob\u002Fmain\u002Fcrates\u002Fskills\u002Fassets\u002Fskills\u002Finterview\u002FSKILL.md",[297,298],{"categoryNo":31,"categoryName":32,"taxonomyType":33,"taxonomyTypeDesc":34},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[119,300,301,75,127,128,276,131,302,303,304,220,45,305,306,89,307,308,107,309],"brief","remember","product","spec","implementation","missing","material","facts","useful","structured",{"skillNo":311,"name":259,"nameZh":12,"description":260,"descriptionZh":12,"repositoryFullName":261,"ownerLogin":262,"ownerAvatarUrl":263,"ownerAccountNo":264,"ownerDisplayName":265,"repositoryNo":266,"starsCount":267,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":312,"categories":313,"keywords":315,"publishedAt":60},"01M6CDE17VEGKQYJ7GN6NN92Y9","https:\u002F\u002Fgithub.com\u002Fcodewhale-hq\u002FCodewhale\u002Fblob\u002Fmain\u002Fcrates\u002Fskills\u002Fassets\u002Fskills\u002Fcontributor-onboarding\u002FSKILL.md",[314],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[272,273,274,275,127,276,277,278,279,83,280,281,282,283,284,285,286,287,288,289,290,291],{"skillNo":317,"name":318,"nameZh":12,"description":319,"descriptionZh":12,"repositoryFullName":320,"ownerLogin":321,"ownerAvatarUrl":322,"ownerAccountNo":323,"ownerDisplayName":324,"repositoryNo":325,"starsCount":326,"licenseSpdxId":27,"licenseFileUrl":12,"sourceHtmlUrl":327,"categories":328,"keywords":336,"publishedAt":60},"01M6AE93Q1D3B5FMEN36A8W293","technical-job-search","Use this skill when a software engineer asks for help with job search tasks: parsing or analyzing a job description, tailoring a CV\u002Fresume, writing a cover letter, evaluating a job offer, or drafting a post-interview follow-up email. 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Paste in examples of updates you already write, answer a few questions, and roundup calibrates itself to your workflow.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Froundup-setup\u002FSKILL.md",[361],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[363,364,365,78,366,367,368,369,273,370,371,372,373,374,375,351,376,104,377,378,379],"roundup setup","setup","roundup","examples","communication","status","data","sources","updates","configure","you","data sources","paste","answer","briefings","style","questions",18]