[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:10875:":195},{"skillCount":4,"professionCount":5,"scenarioCount":6,"creatorCount":7},196628,11,7,1905,[9,20,27,34,41,48],{"categoryNo":10,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":13,"categoryNameEn":14,"description":15,"level":16,"skillCount":17,"parentNo":18,"parentName":18,"children":19},"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",1,13276,null,[],{"categoryNo":21,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":22,"categoryNameEn":23,"description":24,"level":16,"skillCount":25,"parentNo":18,"parentName":18,"children":26},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7776,[],{"categoryNo":28,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":29,"categoryNameEn":30,"description":31,"level":16,"skillCount":32,"parentNo":18,"parentName":18,"children":33},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4988,[],{"categoryNo":35,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":36,"categoryNameEn":37,"description":38,"level":16,"skillCount":39,"parentNo":18,"parentName":18,"children":40},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":42,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":43,"categoryNameEn":44,"description":45,"level":16,"skillCount":46,"parentNo":18,"parentName":18,"children":47},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3449,[],{"categoryNo":49,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":50,"categoryNameEn":51,"description":52,"level":16,"skillCount":53,"parentNo":18,"parentName":18,"children":54},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3317,[],[56,65,72,79,86,93],{"categoryNo":57,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":60,"categoryNameEn":61,"description":62,"level":16,"skillCount":63,"parentNo":18,"parentName":18,"children":64},"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",39462,[],{"categoryNo":66,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":67,"categoryNameEn":68,"description":69,"level":16,"skillCount":70,"parentNo":18,"parentName":18,"children":71},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26546,[],{"categoryNo":73,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":74,"categoryNameEn":75,"description":76,"level":16,"skillCount":77,"parentNo":18,"parentName":18,"children":78},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13572,[],{"categoryNo":80,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":81,"categoryNameEn":82,"description":83,"level":16,"skillCount":84,"parentNo":18,"parentName":18,"children":85},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6291,[],{"categoryNo":87,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":88,"categoryNameEn":89,"description":90,"level":16,"skillCount":91,"parentNo":18,"parentName":18,"children":92},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6033,[],{"categoryNo":94,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":95,"categoryNameEn":96,"description":97,"level":16,"skillCount":98,"parentNo":18,"parentName":18,"children":99},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5531,[],{"records":101,"total":7,"current":16,"size":194},[102,114,123,133,143,153,163,172,182],{"accountNo":103,"login":104,"displayName":105,"avatarUrl":106,"accountType":107,"accountTypeDesc":108,"profileDescription":109,"skillCount":110,"repoCount":111,"professionCount":5,"scenarioCount":6,"totalStars":112,"updatedAt":113},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4166,229,828075,"2026-11-12 04:48:47",{"accountNo":115,"login":116,"displayName":116,"avatarUrl":117,"accountType":107,"accountTypeDesc":108,"profileDescription":118,"skillCount":119,"repoCount":120,"professionCount":6,"scenarioCount":6,"totalStars":121,"updatedAt":122},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437637,"2026-11-12 03:04:11",{"accountNo":124,"login":125,"displayName":126,"avatarUrl":127,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":128,"repoCount":129,"professionCount":6,"scenarioCount":130,"totalStars":131,"updatedAt":132},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,341786,"2026-11-12 03:20:15",{"accountNo":134,"login":135,"displayName":136,"avatarUrl":137,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":138,"repoCount":139,"professionCount":140,"scenarioCount":6,"totalStars":141,"updatedAt":142},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",420,75,8,298091,"2026-11-12 05:32:19",{"accountNo":144,"login":145,"displayName":146,"avatarUrl":147,"accountType":107,"accountTypeDesc":108,"profileDescription":148,"skillCount":149,"repoCount":150,"professionCount":5,"scenarioCount":6,"totalStars":151,"updatedAt":152},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",535,48,241637,"2026-11-12 03:57:04",{"accountNo":154,"login":155,"displayName":156,"avatarUrl":157,"accountType":107,"accountTypeDesc":108,"profileDescription":158,"skillCount":159,"repoCount":160,"professionCount":5,"scenarioCount":6,"totalStars":161,"updatedAt":162},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",936,27,238133,"2026-11-12 03:23:28",{"accountNo":164,"login":165,"displayName":166,"avatarUrl":167,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":168,"repoCount":169,"professionCount":5,"scenarioCount":6,"totalStars":170,"updatedAt":171},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,231455,"2026-11-12 03:40:35",{"accountNo":173,"login":174,"displayName":175,"avatarUrl":176,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":177,"repoCount":178,"professionCount":179,"scenarioCount":6,"totalStars":180,"updatedAt":181},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,187999,"2026-11-12 03:17:01",{"accountNo":183,"login":184,"displayName":185,"avatarUrl":186,"accountType":187,"accountTypeDesc":188,"profileDescription":189,"skillCount":190,"repoCount":191,"professionCount":130,"scenarioCount":6,"totalStars":192,"updatedAt":193},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. ",324,3,174404,"2026-11-12 05:14:59",9,{"records":196,"total":4,"current":463,"size":464},[197,236,242,267,272,295,300,327,332,348,353,375,381,406,412,431,436,454],{"skillNo":198,"name":199,"nameZh":18,"description":200,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":208,"categories":209,"keywords":213,"publishedAt":235},"01M6KQHR21Q55VAPKC467XKVEB","knowledge-distillation","Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.","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-Training\u002Fknowledge-distillation\u002Fknowledge-distillation\u002FSKILL.md",[210],{"categoryNo":211,"categoryName":212,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000021","资料检索与研究",[214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234],"knowledge","distillation","Knowledge Distillation","performance","training","capabilities","open","model","strategies","scaling","Emerging Techniques","Teacher-Student","MiniLLM","Reverse KLD","Soft Targets","Temperature Scaling","Logit Distillation","Model Transfer","student","teacher","when","2026-11-10 10:12:30",{"skillNo":237,"name":199,"nameZh":18,"description":200,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":238,"categories":239,"keywords":241,"publishedAt":235},"01M6KQHK97A5XCJKR0FA6SG44H","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fknowledge-distillation\u002FSKILL.md",[240],{"categoryNo":211,"categoryName":212,"taxonomyType":58,"taxonomyTypeDesc":59},[214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234],{"skillNo":243,"name":244,"nameZh":18,"description":245,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":246,"categories":247,"keywords":248,"publishedAt":235},"01M6KQHDZKNXWQ1HF53TQQXFP9","grpo-rl-training","Expert guidance for GRPO\u002FRL fine-tuning with TRL for reasoning and task-specific model training","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fgrpo-rl-training\u002Fgrpo-rl-training\u002FSKILL.md",[],[218,249,250,251,252,253,254,255,256,257,258,259,221,260,261,262,263,264,265,266],"GRPO","rl","grpo rl training","Fine-Tuning","DPO","Post-Training","RLHF","PPO","Transformers","tuning","learning","expert","modeling","structured output","TRL","Reward Modeling","orchestra","for",{"skillNo":268,"name":244,"nameZh":18,"description":245,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":269,"categories":270,"keywords":271,"publishedAt":235},"01M6KQH8A5VCSDJD61P1APY7KP","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fgrpo-rl-training\u002FSKILL.md",[],[218,249,250,251,252,253,254,255,256,257,258,259,221,260,261,262,263,264,265,266],{"skillNo":273,"name":274,"nameZh":18,"description":275,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":276,"categories":277,"keywords":278,"publishedAt":235},"01M6KQH22NTSBQ7PKFB4B6WWCF","deepspeed","Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16\u002FBF16\u002FFP8, 1-bit Adam, sparse attention","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fdeepspeed\u002Fdeepspeed\u002FSKILL.md",[],[279,280,281,218,282,283,284,285,286,287,288,289,290,260,291,292,293,294,265,266],"DeepSpeed","research","distributed","Distributed Training","ZeRO","Pipeline Parallelism","Mixed Precision","Optimization","Large-Scale Training","FP16","FP8","pipeline","attention","bit","Accelerate","with",{"skillNo":296,"name":274,"nameZh":18,"description":275,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":297,"categories":298,"keywords":299,"publishedAt":235},"01M6KQGRVAM5EVMC7QAB37ECEZ","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fdeepspeed\u002FSKILL.md",[],[279,280,281,218,282,283,284,285,286,287,288,289,290,260,291,292,293,294,265,266],{"skillNo":301,"name":302,"nameZh":18,"description":303,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":304,"categories":305,"keywords":306,"publishedAt":235},"01M6KQGBYCBZTDTTX2MB7FAF3X","constitutional-ai","Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique\u002Frevision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fconstitutional-ai\u002Fconstitutional-ai\u002FSKILL.md",[],[307,218,257,308,309,310,311,259,312,313,314,250,315,316,317,318,319,320,263,294,321,265,266,322,323,324,325,326],"Constitutional AI","Safety Alignment","AI Safety","Safety","critique","system","feedback","use","alignment","self-improvement","self","human","RLAIF","Self-Critique","revision","improvement","labels","phase","supervised","Supervised Learning",{"skillNo":328,"name":302,"nameZh":18,"description":303,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":329,"categories":330,"keywords":331,"publishedAt":235},"01M6KQG6BW303HC6HDH4DRXBGV","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fconstitutional-ai\u002FSKILL.md",[],[307,218,257,308,309,310,311,259,312,313,314,250,315,316,317,318,319,320,263,294,321,265,266,322,323,324,325,326],{"skillNo":333,"name":334,"nameZh":18,"description":335,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":336,"categories":337,"keywords":338,"publishedAt":235},"01M6KQFV51G05NYTV0HAM9145X","axolotl","Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA\u002FQLoRA, DPO\u002FKTO\u002FORPO\u002FGRPO, multimodal support","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Faxolotl\u002Faxolotl\u002FSKILL.md",[],[339,340,280,341,279,252,342,343,253,344,345,249,346,257,347,260,293,294,265,266],"Axolotl","llms","support","LoRA","QLoRA","KTO","ORPO","HuggingFace","models",{"skillNo":349,"name":334,"nameZh":18,"description":335,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":350,"categories":351,"keywords":352,"publishedAt":235},"01M6KQFQ3PJHS277N4RPAX1YK7","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Faxolotl\u002FSKILL.md",[],[339,340,280,341,279,252,342,343,253,344,345,249,346,257,347,260,293,294,265,266],{"skillNo":354,"name":355,"nameZh":18,"description":356,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":357,"categories":358,"keywords":362,"publishedAt":235},"01M6KQFJEFFSH81E0C1FDTQ6H5","huggingface-accelerate","Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed\u002FFSDP\u002FMegatron\u002FDDP. Automatic device placement, mixed precision (FP16\u002FBF16\u002FFP8). Interactive config, single launch command. HuggingFace ecosystem standard.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Faccelerate\u002Faccelerate\u002FSKILL.md",[359],{"categoryNo":360,"categoryName":361,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000010","后端与接口",[346,363,293,341,364,365,218,279,282,257,366,367,368,369,370,371,372,373,265,374],"huggingface accelerate","config","pytorch","api","command","add","megatron","FSDP","DDP","Unified API","ecosystem","automatic",{"skillNo":376,"name":355,"nameZh":18,"description":356,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":377,"categories":378,"keywords":380,"publishedAt":235},"01M6KQF7C1H03NYDN1T8EBK67D","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Faccelerate\u002FSKILL.md",[379],{"categoryNo":360,"categoryName":361,"taxonomyType":58,"taxonomyTypeDesc":59},[346,363,293,341,364,365,218,279,282,257,366,367,368,369,370,371,372,373,265,374],{"skillNo":382,"name":383,"nameZh":18,"description":384,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":385,"categories":386,"keywords":388,"publishedAt":235},"01M6KQERPCB9DN72VYNZ1FSD71","fine-tuning-openvla-oft","Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or diffusion), deploying server-client inference for ALOHA, or debugging normalization, LoRA merge, and cross-GPU issues.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Robotics\u002Fopenvla-oft\u002Fopenvla-oft\u002FSKILL.md",[387],{"categoryNo":211,"categoryName":212,"taxonomyType":58,"taxonomyTypeDesc":59},[258,389,390,391,392,218,393,394,395,396,257,397,398,399,400,401,293,402,403,404,234,405],"fine tuning","OpenVLA","fine tuning openvla oft","merge","debugging","issues","server","actions","simulation","fastapi","robotics","world","adaptation","WandB","uvicorn","action","conditioning",{"skillNo":407,"name":383,"nameZh":18,"description":384,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":408,"categories":409,"keywords":411,"publishedAt":235},"01M6KQE6AW4WDMF6VN6TQM7GQX","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Robotics\u002Fopenvla-oft\u002FSKILL.md",[410],{"categoryNo":211,"categoryName":212,"taxonomyType":58,"taxonomyTypeDesc":59},[258,389,390,391,392,218,393,394,395,396,257,397,398,399,400,401,293,402,403,404,234,405],{"skillNo":413,"name":414,"nameZh":18,"description":415,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":416,"categories":417,"keywords":418,"publishedAt":235},"01M6KQDJ43E28PE3CC2ZJFJ1RH","fine-tuning-serving-openpi","Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference servers, or debugging norm stats and GPU memory issues.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Robotics\u002Fopenpi\u002Fopenpi\u002FSKILL.md",[],[258,389,419,420,421,422,423,365,393,394,257,399,424,425,426,427,428,265,266,429,234,430],"OpenPI","fine tuning serving openpi","serving","policy","memory","uv","intelligence","across","environments","checkpoints","custom","running",{"skillNo":432,"name":414,"nameZh":18,"description":415,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":433,"categories":434,"keywords":435,"publishedAt":235},"01M6KQDD71WJNVRS2VYBSC1FXZ","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Robotics\u002Fopenpi\u002FSKILL.md",[],[258,389,419,420,421,422,423,365,393,394,257,399,424,425,426,427,428,265,266,429,234,430],{"skillNo":437,"name":438,"nameZh":18,"description":439,"descriptionZh":18,"repositoryFullName":440,"ownerLogin":441,"ownerAvatarUrl":442,"ownerAccountNo":443,"ownerDisplayName":444,"repositoryNo":445,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":446,"categories":447,"keywords":448,"publishedAt":235},"01M6KSF1EAR45R1HTGZ7DQJXH6","three-evals","Fixture with three eval cases.","gtbuchanan\u002Ftooling","gtbuchanan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F715687?v=4","01M6KSDRCB1XRM9B6QDZQRAFJ7","Taylor Buchanan","01M6KSDRHPP4GQYJDDTWE9V28T","https:\u002F\u002Fgithub.com\u002Fgtbuchanan\u002Ftooling\u002Fblob\u002Fmain\u002Fpackages\u002Feslint-plugin-agent-skills\u002Ftest\u002Ffixtures\u002Fmin-evals\u002Fthree-evals\u002FSKILL.md",[],[449,450,451,452,453,294],"evals","three","three evals","eval","fixture",{"skillNo":455,"name":456,"nameZh":18,"description":457,"descriptionZh":18,"repositoryFullName":440,"ownerLogin":441,"ownerAvatarUrl":442,"ownerAccountNo":443,"ownerDisplayName":444,"repositoryNo":445,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":458,"categories":459,"keywords":460,"publishedAt":235},"01M6KSEXP87SH6WEZB82Y2N6YM","one-eval","Fixture with one eval case.","https:\u002F\u002Fgithub.com\u002Fgtbuchanan\u002Ftooling\u002Fblob\u002Fmain\u002Fpackages\u002Feslint-plugin-agent-skills\u002Ftest\u002Ffixtures\u002Fmin-evals\u002Fone-eval\u002FSKILL.md",[],[452,461,453,462,294],"one eval","case",10875,18]