[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:283:":195},[4,15,22,29,36,43],{"categoryNo":5,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":8,"categoryNameEn":9,"description":10,"level":11,"skillCount":12,"parentNo":13,"parentName":13,"children":14},"01JBSEEDCAT000000000000030","PROFESSION","适用职业","开发工程师","Software Engineer","从事软件编码、测试与运维的工程师",1,13273,null,[],{"categoryNo":16,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":17,"categoryNameEn":18,"description":19,"level":11,"skillCount":20,"parentNo":13,"parentName":13,"children":21},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7774,[],{"categoryNo":23,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":24,"categoryNameEn":25,"description":26,"level":11,"skillCount":27,"parentNo":13,"parentName":13,"children":28},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4987,[],{"categoryNo":30,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":31,"categoryNameEn":32,"description":33,"level":11,"skillCount":34,"parentNo":13,"parentName":13,"children":35},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":37,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":38,"categoryNameEn":39,"description":40,"level":11,"skillCount":41,"parentNo":13,"parentName":13,"children":42},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":44,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":45,"categoryNameEn":46,"description":47,"level":11,"skillCount":48,"parentNo":13,"parentName":13,"children":49},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3316,[],[51,60,67,74,81,88],{"categoryNo":52,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":55,"categoryNameEn":56,"description":57,"level":11,"skillCount":58,"parentNo":13,"parentName":13,"children":59},"01JBSEEDCAT000000000000022","SCENARIO","使用场景","智能体与自动化","Agents & Automation","Skill、MCP、智能体与工作流自动化",39448,[],{"categoryNo":61,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":62,"categoryNameEn":63,"description":64,"level":11,"skillCount":65,"parentNo":13,"parentName":13,"children":66},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26532,[],{"categoryNo":68,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":69,"categoryNameEn":70,"description":71,"level":11,"skillCount":72,"parentNo":13,"parentName":13,"children":73},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13568,[],{"categoryNo":75,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":76,"categoryNameEn":77,"description":78,"level":11,"skillCount":79,"parentNo":13,"parentName":13,"children":80},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6283,[],{"categoryNo":82,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":83,"categoryNameEn":84,"description":85,"level":11,"skillCount":86,"parentNo":13,"parentName":13,"children":87},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6029,[],{"categoryNo":89,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":90,"categoryNameEn":91,"description":92,"level":11,"skillCount":93,"parentNo":13,"parentName":13,"children":94},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5528,[],{"records":96,"total":191,"current":11,"size":192},[97,111,120,130,140,150,160,169,179],{"accountNo":98,"login":99,"displayName":100,"avatarUrl":101,"accountType":102,"accountTypeDesc":103,"profileDescription":104,"skillCount":105,"repoCount":106,"professionCount":107,"scenarioCount":108,"totalStars":109,"updatedAt":110},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4154,229,11,7,829340,"2026-11-14 04:29:39",{"accountNo":112,"login":113,"displayName":113,"avatarUrl":114,"accountType":102,"accountTypeDesc":103,"profileDescription":115,"skillCount":116,"repoCount":117,"professionCount":108,"scenarioCount":108,"totalStars":118,"updatedAt":119},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437710,"2026-11-14 03:02:00",{"accountNo":121,"login":122,"displayName":123,"avatarUrl":124,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":125,"repoCount":126,"professionCount":108,"scenarioCount":127,"totalStars":128,"updatedAt":129},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,343689,"2026-11-14 03:12:46",{"accountNo":131,"login":132,"displayName":133,"avatarUrl":134,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":135,"repoCount":136,"professionCount":137,"scenarioCount":108,"totalStars":138,"updatedAt":139},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",419,75,8,298195,"2026-11-14 06:30:33",{"accountNo":141,"login":142,"displayName":143,"avatarUrl":144,"accountType":102,"accountTypeDesc":103,"profileDescription":145,"skillCount":146,"repoCount":147,"professionCount":107,"scenarioCount":108,"totalStars":148,"updatedAt":149},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",528,48,243019,"2026-11-14 03:03:50",{"accountNo":151,"login":152,"displayName":153,"avatarUrl":154,"accountType":102,"accountTypeDesc":103,"profileDescription":155,"skillCount":156,"repoCount":157,"professionCount":107,"scenarioCount":108,"totalStars":158,"updatedAt":159},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",940,28,238713,"2026-11-14 06:33:26",{"accountNo":161,"login":162,"displayName":163,"avatarUrl":164,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":165,"repoCount":166,"professionCount":107,"scenarioCount":108,"totalStars":167,"updatedAt":168},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,232229,"2026-11-14 06:21:52",{"accountNo":170,"login":171,"displayName":172,"avatarUrl":173,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":174,"repoCount":175,"professionCount":176,"scenarioCount":108,"totalStars":177,"updatedAt":178},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188022,"2026-11-14 06:18:35",{"accountNo":180,"login":181,"displayName":182,"avatarUrl":183,"accountType":184,"accountTypeDesc":185,"profileDescription":186,"skillCount":187,"repoCount":188,"professionCount":127,"scenarioCount":108,"totalStars":189,"updatedAt":190},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. ",324,3,174785,"2026-11-14 04:11:30",1939,9,{"skillCount":194,"professionCount":107,"scenarioCount":108,"creatorCount":191},196935,{"records":196,"total":194,"current":475,"size":476},[197,225,246,262,277,299,310,327,353,366,381,395,409,420,428,437,452,466],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":209,"categories":210,"keywords":211,"publishedAt":224},"01M6HW9CAVYVZXH5B7TE06MCGE","experiment-guide","Choose experiments and use their results when investigating program improvements with the portfolio research tools.","HKUDS\u002FAgentPilot","HKUDS","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F118165258?v=4","01M6HW8VRNZP64G0P4MVJW2KKQ","✨Data Intelligence Lab@HKU✨","01M6HW8VWZVHBRHYH3T330PFWV",8024,"MIT","https:\u002F\u002Fgithub.com\u002FHKUDS\u002FAgentPilot\u002Fblob\u002Fmain\u002Fagentpilot\u002Fsrc\u002Fagentpilot\u002Fpolicy\u002Fproposer\u002Fskills\u002Fexperiment-guide\u002FSKILL.md",[],[212,213,214,215,216,217,218,219,220,221,222,223],"guide","experiment","experiment guide","research","experiments","Tools","choose","results","use","portfolio","research tools","with","2026-11-10 10:12:30",{"skillNo":226,"name":227,"nameZh":13,"description":228,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":229,"categories":230,"keywords":231,"publishedAt":224},"01M6HW988ZDYW735WD4E6Z9X5E","rsi-arena","Set up or run RSI Arena benchmark evaluations from HKUDS AgentPilot. Use for AIME, Terminal-Bench, and comparing improvement methods; use agentpilot for the unified RSI entry or ordinary coding work.","https:\u002F\u002Fgithub.com\u002FHKUDS\u002FAgentPilot\u002Fblob\u002Fmain\u002Fagentpilot\u002Fsrc\u002Fagentpilot\u002Fhost\u002Fskills\u002Frsi-arena\u002FSKILL.md",[],[232,233,234,235,236,237,238,239,240,220,241,242,243,244,245],"arena","rsi","rsi arena","terminal","run","benchmark","SET","coding","work","up","methods","for","improvement","agentpilot",{"skillNo":247,"name":248,"nameZh":13,"description":249,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":250,"categories":251,"keywords":255,"publishedAt":224},"01M6HW93KC3DCC49VV7KZHWH6C","openspace","Set up or use the OpenSpace component of HKUDS AgentPilot for retrieving and retaining agent skills. Use when the user asks for OpenSpace skill management or its MCP connection; ordinary coding improvement uses agentpilot.","https:\u002F\u002Fgithub.com\u002FHKUDS\u002FAgentPilot\u002Fblob\u002Fmain\u002Fagentpilot\u002Fsrc\u002Fagentpilot\u002Fhost\u002Fskills\u002Fopenspace\u002FSKILL.md",[252],{"categoryNo":253,"categoryName":254,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",[248,256,257,238,239,258,259,220,241,260,261,243,244,245],"MCP","component","management","user","skill management","connection",{"skillNo":263,"name":245,"nameZh":13,"description":264,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":265,"categories":266,"keywords":267,"publishedAt":224},"01M6HW8ZC9TCJJS26KN54NZ7PY","Prepare and run AgentPilot improvements through one entry. Use when the user requests AgentPilot or iterative improvement with it. The current agent fills missing task\u002Fevaluation inputs, then hands a ready environment to the configured AgentPilot runner.","https:\u002F\u002Fgithub.com\u002FHKUDS\u002FAgentPilot\u002Fblob\u002Fmain\u002Fagentpilot\u002Fsrc\u002Fagentpilot\u002Fhost\u002Fskills\u002Fagentpilot\u002FSKILL.md",[],[245,268,236,269,259,270,220,271,272,273,274,275,223,276,244],"prepare","Evaluation","environment","ready","task","runner","missing","it","requests",{"skillNo":278,"name":279,"nameZh":13,"description":280,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":284,"categories":285,"keywords":289,"publishedAt":224},"01M6ACYN431ER9AFG508JJH3VT","supabase-postgres-best-practices","Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.","openai\u002Fplugins","01M6AC38CEN570NMR96RNGD2NK",7925,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fsupabase\u002Fskills\u002Fsupabase-postgres-best-practices\u002FSKILL.md",[286],{"categoryNo":287,"categoryName":288,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000010","后端与接口",[290,291,292,293,294,295,296,297,298],"best practices","supabase postgres best practices","writing","performance","sql","code","database","metrics","examples",{"skillNo":300,"name":301,"nameZh":13,"description":302,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":303,"categories":304,"keywords":306,"publishedAt":224},"01M6ACQRGGJYVNDPQWB9XGWRNZ","minimal-skill","Minimal example skill for plugin-eval tests. Use when the user wants a compact demonstration of a well-structured skill.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fplugin-eval\u002Ffixtures\u002Fminimal-skill\u002FSKILL.md",[305],{"categoryNo":253,"categoryName":254,"taxonomyType":53,"taxonomyTypeDesc":54},[307,308,309],"minimal skill","example skill","plugin",{"skillNo":311,"name":312,"nameZh":13,"description":313,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":315,"categories":316,"keywords":317,"publishedAt":224},"01M6ACQ406M83341YPKPEXBXDZ","physical-ai-neural-reconstruction","Router for NVIDIA NuRec\u002FNRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fphysical-ai-neural-reconstruction\u002FSKILL.md",[],[318,319,152,320,321,322,323,324,325,326],"physical ai neural reconstruction","python","docker","setup","toolkit","gpu","index","grpc","https",{"skillNo":328,"name":329,"nameZh":13,"description":330,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":331,"categories":332,"keywords":336,"publishedAt":224},"01M6ACPVRFPVATXD7H38Z56QC5","physical-ai-infrastructure-setup-and-resilient-scaling","Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger for: OSMO log summarization or workload-only operations unless infrastructure setup, scaling, validation, or recovery is requested.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fphysical-ai-infrastructure-setup-and-resilient-scaling\u002FSKILL.md",[333],{"categoryNo":334,"categoryName":335,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000011","运维与部署",[321,337,338,339,340,341,342,343,257,344,345,346,347,348,349,350,351,352],"infrastructure","physical ai infrastructure setup and resilient scaling","cli","kubernetes","inference","workflow","workflows","validate","deploy","workload","azure","ml","synthetic data","deployment","validation","terraform",{"skillNo":354,"name":355,"nameZh":13,"description":356,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":357,"categories":358,"keywords":360,"publishedAt":224},"01M6ACPG9JPDSS6MMKVKR3P56E","omniverse-usd-performance-tuning","Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth\u002Fruntime setup to Phase 0 owners.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fomniverse-usd-performance-tuning\u002FSKILL.md",[359],{"categoryNo":253,"categoryName":254,"taxonomyType":53,"taxonomyTypeDesc":54},[293,361,319,362,363,342,364,321,348,365],"omniverse usd performance tuning","memory","triage","auth","authentication",{"skillNo":367,"name":368,"nameZh":13,"description":369,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":370,"categories":371,"keywords":373,"publishedAt":224},"01M6ACP73X9YS5Y730C2WE58YF","omniverse-realtime-viewer","Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fomniverse-realtime-viewer\u002FSKILL.md",[372],{"categoryNo":253,"categoryName":254,"taxonomyType":53,"taxonomyTypeDesc":54},[374,375,376,319,342,377,378,379,348,350,380,323],"realtime","omniverse realtime viewer","typescript","electron","react","documents","cpp",{"skillNo":382,"name":383,"nameZh":13,"description":384,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":385,"categories":386,"keywords":389,"publishedAt":224},"01M6ACNW3F31YSMGP6DPN3P4YK","omniverse-cad-to-simready","Coordinate the end-to-end CAD\u002Fsource-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material\u002Fphysics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fomniverse-cad-to-simready\u002FSKILL.md",[387,388],{"categoryNo":334,"categoryName":335,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":253,"categoryName":254,"taxonomyType":53,"taxonomyTypeDesc":54},[390,391,319,320,392,342,345,348,350,322,351,393,323,394],"omniverse cad to simready","macos","linux","package","content",{"skillNo":396,"name":397,"nameZh":13,"description":398,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":399,"categories":400,"keywords":402,"publishedAt":224},"01M6ACNP9DG2Q6TRWAV5D2Y0R1","nemoclaw-user-get-started","Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemohermes quickstart, hermes agent nemoclaw, run hermes openshell sandbox, nemoclaw prerequisites, nemoclaw supported platforms, nemoclaw hardware software, nemoclaw windows wsl2 setup, nemoclaw install windows docker desktop.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fnemoclaw-user-get-started\u002FSKILL.md",[401],{"categoryNo":253,"categoryName":254,"taxonomyType":53,"taxonomyTypeDesc":54},[403,113,320,404,405,321,236,406,407,408],"nemoclaw user get started","sandbox","windows","desktop","onboarding","quickstart",{"skillNo":410,"name":411,"nameZh":13,"description":412,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":413,"categories":414,"keywords":415,"publishedAt":224},"01M6ACNKQS4RR7AZ27AP7ZZ81B","dynamo-router-starter","Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fdynamo-router-starter\u002FSKILL.md",[],[416,417,418,321,350,236,419],"dynamo router starter","troubleshoot","test","routing",{"skillNo":421,"name":422,"nameZh":13,"description":423,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":424,"categories":425,"keywords":426,"publishedAt":224},"01M6ACNHD900HWCGYCRX4P7CNB","dynamo-interconnect-check","Validate that a Dynamo deployment's NIXL\u002FUCX\u002FNCCL interconnect is ready for disaggregated serving over RDMA\u002FNVLink. Use after recipe-runner brings a deployment up (especially disagg\u002Fmulti-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fdynamo-interconnect-check\u002FSKILL.md",[],[427,417,344,350,351],"dynamo interconnect check",{"skillNo":429,"name":430,"nameZh":13,"description":431,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":432,"categories":433,"keywords":434,"publishedAt":224},"01M6ACNF9GWA722XTA0WBGY0B5","cuopt-user-rules","Base rules for end users calling NVIDIA cuOpt (routing\u002FLP\u002FMILP\u002FQP\u002Finstall\u002Fserver). Not for cuOpt internals — use cuopt-developer for those.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Fcuopt-user-rules\u002FSKILL.md",[],[435,436,419],"cuopt user rules","guidelines",{"skillNo":438,"name":439,"nameZh":13,"description":440,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":441,"categories":442,"keywords":448,"publishedAt":224},"01M6ACNC74T9TX4Q0NP9CQH8AQ","aiq-research","Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Faiq-research\u002FSKILL.md",[443,444,447],{"categoryNo":287,"categoryName":288,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":445,"categoryName":446,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":253,"categoryName":254,"taxonomyType":53,"taxonomyTypeDesc":54},[215,449,319,152,450,451,236,295,326],"aiq research","codex","http",{"skillNo":453,"name":454,"nameZh":13,"description":455,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":314,"licenseFileUrl":13,"sourceHtmlUrl":456,"categories":457,"keywords":460,"publishedAt":224},"01M6ACN7SSC8RFKGEC8NT64A8Q","aiq-deploy","Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fnvidia\u002Fskills\u002Faiq-deploy\u002FSKILL.md",[458,459],{"categoryNo":287,"categoryName":288,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":334,"categoryName":335,"taxonomyType":53,"taxonomyTypeDesc":54},[345,461,339,319,152,320,340,450,417,462,344,463,337,350,236,295,464,465,326],"aiq deploy","web","docker compose","git","npm",{"skillNo":467,"name":468,"nameZh":13,"description":469,"descriptionZh":13,"repositoryFullName":281,"ownerLogin":122,"ownerAvatarUrl":124,"ownerAccountNo":121,"ownerDisplayName":123,"repositoryNo":282,"starsCount":283,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":470,"categories":471,"keywords":472,"publishedAt":224},"01M6ACE48G4KSY4RC0T625YYCA","use-dom","Use Expo DOM components to run web code in a webview on native and as-is on web. Migrate web code to native incrementally.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fexpo\u002Fskills\u002Fuse-dom\u002FSKILL.md",[],[473,462,474,236,295],"use dom","components",283,18]