[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:10879:":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",1,13274,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",7775,[],{"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",4988,[],{"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",39458,[],{"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",26531,[],{"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",13569,[],{"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",6289,[],{"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",5531,[],{"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",4160,229,11,7,828772,"2026-11-13 04:10:52",{"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.",362,32,437711,"2026-11-13 03:02:05",{"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",171,23,6,342695,"2026-11-13 04:03:41",{"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",420,75,8,298176,"2026-11-13 03:14:28",{"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",535,48,242366,"2026-11-13 04:17:09",{"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.",940,28,238441,"2026-11-13 03:57:35",{"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",674,17,231826,"2026-11-13 04:18:26",{"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",86,2,10,188014,"2026-11-13 02:38:59",{"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. ",324,3,174614,"2026-11-13 04:05:07",1910,9,{"skillCount":194,"professionCount":107,"scenarioCount":108,"creatorCount":191},196638,{"records":196,"total":194,"current":454,"size":455},[197,235,241,259,265,289,295,318,323,341,347,365,371,397,403,420,425,449],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":208,"categories":209,"keywords":213,"publishedAt":234},"01M6KQ5FWSD4DFJNDEK11MN943","weights-and-biases","Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform","endman100\u002Fskill-router-nexus","endman100","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F31997019?v=4","01M6KPDX17BYDWW4RRB0TNGGMX","01M6KPDX64Y2QBEWVFG5W5PWPF",0,"MIT","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Fweights-and-biases\u002Fweights-and-biases\u002FSKILL.md",[210],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000013","分析与可视化",[214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233],"weights and biases","visualize","experiments","pytorch","training","visualization","registry","logging","tuning","model","experiment","optimize","time","Experiment Tracking","Model Registry","Hyperparameter Tuning","WandB","Real-Time Visualization","track","automatic","2026-11-10 10:12:30",{"skillNo":236,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":237,"categories":238,"keywords":240,"publishedAt":234},"01M6KQ5B6BD6BP2Y22NPFD4427","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Fweights-and-biases\u002FSKILL.md",[239],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233],{"skillNo":242,"name":243,"nameZh":13,"description":244,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":245,"categories":246,"keywords":248,"publishedAt":234},"01M6KQ548HBN6D5AJGWPNNJRDQ","tensorboard","Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Ftensorboard\u002Ftensorboard\u002FSKILL.md",[247],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[243,142,215,249,250,216,251,217,252,218,253,219,254,255,223,224,227,256,257,258],"performance","tensorflow","debug","ml","debugging","metrics","performance profiling","Training Metrics","Model Debugging","orchestra",{"skillNo":260,"name":243,"nameZh":13,"description":244,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":261,"categories":262,"keywords":264,"publishedAt":234},"01M6KQ4WZJM89HWTHZD3BAZF92","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Ftensorboard\u002FSKILL.md",[263],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[243,142,215,249,250,216,251,217,252,218,253,219,254,255,223,224,227,256,257,258],{"skillNo":266,"name":267,"nameZh":13,"description":268,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":269,"categories":270,"keywords":272,"publishedAt":234},"01M6KQ4QAQ7EG2K27KJC844QT9","experiment-tracking-swanlab","Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Fswanlab\u002Fswanlab\u002FSKILL.md",[271],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[273,224,227,274,275,276,217,277,219,221,278,279,280,281,282,283,284,285,286,287,288],"tracking","SwanLab","experiment tracking swanlab","workflows","run","open source","Transformers","pytorch lightning","Media","open","self","local","you","pillow","source","when",{"skillNo":290,"name":267,"nameZh":13,"description":268,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":291,"categories":292,"keywords":294,"publishedAt":234},"01M6KQ4JWVBBVY318VRDDDAP9T","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Fswanlab\u002FSKILL.md",[293],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[273,224,227,274,275,276,217,277,219,221,278,279,280,281,282,283,284,285,286,287,288],{"skillNo":296,"name":297,"nameZh":13,"description":298,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":299,"categories":300,"keywords":301,"publishedAt":234},"01M6KQ4CRN1TK5SD607BG4F6EZ","phoenix-observability","Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Fphoenix\u002Fphoenix\u002FSKILL.md",[],[302,303,304,253,305,306,307,308,309,310,282,311,312,226,313,314,315,258,316,287,288,317],"observability","Phoenix","phoenix observability","tracing","monitoring","Evaluation","OpenTelemetry","real-time","applications","use","observability platform","platform","LLM Applications","insights","for","running",{"skillNo":319,"name":297,"nameZh":13,"description":298,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":320,"categories":321,"keywords":322,"publishedAt":234},"01M6KQ48DMK5672A2CZWJ1YKEY","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Fphoenix\u002FSKILL.md",[],[302,303,304,253,305,306,307,308,309,310,282,311,312,226,313,314,315,258,316,287,288,317],{"skillNo":324,"name":325,"nameZh":13,"description":326,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":327,"categories":328,"keywords":332,"publishedAt":234},"01M6KQ43MKH1FAYMS5ATCJYZM1","mlflow","Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Fmlflow\u002Fmlflow\u002FSKILL.md",[329],{"categoryNo":330,"categoryName":331,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000011","运维与部署",[325,250,216,217,333,220,334,335,223,336,224,337,313,227,228,338,339,340,258,232],"learn","framework","boto3","versioning","scikit-learn","ML Lifecycle","Model Versioning","sqlalchemy",{"skillNo":342,"name":325,"nameZh":13,"description":326,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":343,"categories":344,"keywords":346,"publishedAt":234},"01M6KQ3X2F0AX9PQN7XTQWKRYM","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Fmlflow\u002FSKILL.md",[345],{"categoryNo":330,"categoryName":331,"taxonomyType":53,"taxonomyTypeDesc":54},[325,250,216,217,333,220,334,335,223,336,224,337,313,227,228,338,339,340,258,232],{"skillNo":348,"name":349,"nameZh":13,"description":350,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":351,"categories":352,"keywords":356,"publishedAt":234},"01M6KQ3R3DM267BTEPYGWYGC5N","langsmith-observability","LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Flangsmith\u002Flangsmith\u002FSKILL.md",[353],{"categoryNo":354,"categoryName":355,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000008","测试与质量",[302,357,358,359,360,253,305,306,307,310,223,361,311,362,312,313,363,314,258,316,364,288],"LangSmith","langsmith observability","testing","research","ops","datasets","systematic","outputs",{"skillNo":366,"name":349,"nameZh":13,"description":350,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":367,"categories":368,"keywords":370,"publishedAt":234},"01M6KQ3KN9XBCK6VPRGEMY8HVB","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-MLOps\u002Flangsmith\u002FSKILL.md",[369],{"categoryNo":354,"categoryName":355,"taxonomyType":53,"taxonomyTypeDesc":54},[302,357,358,359,360,253,305,306,307,310,223,361,311,362,312,313,363,314,258,316,364,288],{"skillNo":372,"name":373,"nameZh":13,"description":374,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":375,"categories":376,"keywords":380,"publishedAt":234},"01M6KQ3DPREJMMVHZBS7MXFDJ1","serving-llms-vllm","Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency\u002Fthroughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ\u002FAWQ\u002FFP8), and tensor parallelism.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Inference-and-Optimization\u002Fvllm\u002Fvllm\u002FSKILL.md",[377],{"categoryNo":378,"categoryName":379,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000010","后端与接口",[381,382,383,384,385,122,386,387,388,279,389,311,390,391,392,393,394,395,258,396,288],"llms","vLLM","serving llms vllm","serving","memory","openai api","FP8","Inference Serving","api","latency","AWQ","GPTQ","throughput","with","openai-compatible","batching",{"skillNo":398,"name":373,"nameZh":13,"description":374,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":399,"categories":400,"keywords":402,"publishedAt":234},"01M6KQ38RR2WHG23XVQFDW7CQS","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Inference-and-Optimization\u002Fvllm\u002FSKILL.md",[401],{"categoryNo":378,"categoryName":379,"taxonomyType":53,"taxonomyTypeDesc":54},[381,382,383,384,385,122,386,387,388,279,389,311,390,391,392,393,394,395,258,396,288],{"skillNo":404,"name":405,"nameZh":13,"description":406,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":407,"categories":408,"keywords":409,"publishedAt":234},"01M6KQ34SK78ZHBZM1AWNPJQ2Z","tensorrt-llm","Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100\u002FH100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8\u002FINT4), in-flight batching, and multi-GPU scaling.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Inference-and-Optimization\u002Ftensorrt-llm\u002Ftensorrt-llm\u002FSKILL.md",[],[410,411,217,412,413,387,414,388,415,311,416,390,417,418,419,393,394,285,258,316,396,288],"tensorrt llm","tensorrt","deployment","Optimization","NVIDIA","llm inference","scaling","TensorRT-LLM","multi","H100",{"skillNo":421,"name":405,"nameZh":13,"description":406,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":422,"categories":423,"keywords":424,"publishedAt":234},"01M6KQ30X8607AHGHWM5EDMV9A","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Inference-and-Optimization\u002Ftensorrt-llm\u002FSKILL.md",[],[410,411,217,412,413,387,414,388,415,311,416,390,417,418,419,393,394,285,258,316,396,288],{"skillNo":426,"name":427,"nameZh":13,"description":428,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":429,"categories":430,"keywords":431,"publishedAt":234},"01M6KQ2TTTBX2X7RK9FKNVC40N","speculative-decoding","Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jacobi iteration, parallel token generation, and production deployment strategies.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Inference-and-Optimization\u002Fspeculative-decoding\u002Fspeculative-decoding\u002FSKILL.md",[],[432,433,279,434,435,226,436,437,438,439,390,440,441,442,443,444,445,446,447,448,288],"speculative decoding","Fast Inference","parallel","deployment strategies","strategies","attention","token","iteration","Accelerate","Emerging Techniques","medusa","Lookahead Decoding","Draft Models","Tree Attention","Parallel Generation","Latency Reduction","tree",{"skillNo":450,"name":427,"nameZh":13,"description":428,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":451,"categories":452,"keywords":453,"publishedAt":234},"01M6KQ2NXC3KJS8MJ51CY9HCY3","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Inference-and-Optimization\u002Fspeculative-decoding\u002FSKILL.md",[],[432,433,279,434,435,226,436,437,438,439,390,440,441,442,443,444,445,446,447,448,288],10879,18]