[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ACQRGGJYVNDPQWB9XGWRNZ":3,"skill-same:01M6ACQRGGJYVNDPQWB9XGWRNZ":66},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":27,"linkOnly":28,"markdownContent":29,"markdownBody":30,"frontMatter":31,"refName":32,"commitSha":33,"skillDirectory":34,"forksCount":35,"repositoryHtmlUrl":36,"repositoryHomepageUrl":6,"ownerHtmlUrl":37,"ownerBlogUrl":38,"ownerDescription":6,"updatedAt":39,"install":40,"resources":53},"01M6ACQRGGJYVNDPQWB9XGWRNZ","minimal-skill",null,"Minimal example skill for plugin-eval tests. Use when the user wants a compact demonstration of a well-structured skill.","openai\u002Fplugins","openai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4","01M6AC29YGCR4S2NTJFV0G8B81","OpenAI","01M6AC38CEN570NMR96RNGD2NK",7909,"MIT","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fplugin-eval\u002Ffixtures\u002Fminimal-skill\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26],"minimal skill","example skill","plugin","2026-11-10 10:12:30",false,"---\nname: minimal-skill\ndescription: Minimal example skill for plugin-eval tests. Use when the user wants a compact demonstration of a well-structured skill.\nlicense: MIT\n---\n\n# Minimal Skill\n\nUse this fixture to verify that skill evaluation works on a small but valid example.\n\n## Workflow\n\n1. Read the target file.\n2. Summarize the important structure.\n3. Reference deeper details only when needed.\n\n## Reference\n\n- `references\u002Fdetails.md`\n","# Minimal Skill\n\nUse this fixture to verify that skill evaluation works on a small but valid example.\n\n## Workflow\n\n1. Read the target file.\n2. Summarize the important structure.\n3. Reference deeper details only when needed.\n\n## Reference\n\n- `references\u002Fdetails.md`\n",{"name":5,"license":15,"description":7},"main","0722921d5542fc593105c27bd52630babd8b8c2a","plugins\u002Fplugin-eval\u002Ffixtures\u002Fminimal-skill",1014,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","https:\u002F\u002Fgithub.com\u002Fopenai","https:\u002F\u002Fopenai.com\u002F","2026-11-07 03:08:35",{"source":8,"skillName":5,"commands":41,"prompt":51,"zipAvailable":52},[42,45,48],{"tool":43,"command":44},"npx","npx skills add openai\u002Fplugins --skill minimal-skill",{"tool":46,"command":47},"bunx","bunx skills add openai\u002Fplugins --skill minimal-skill",{"tool":49,"command":50},"pnpm","pnpm dlx skills add openai\u002Fplugins --skill minimal-skill","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fplugin-eval\u002Ffixtures\u002Fminimal-skill\u002FSKILL.md",true,[54,60],{"path":55,"resourceType":56,"resourceTypeDesc":57,"sizeBytes":58,"sourceHtmlUrl":59},"references\u002Fdetails.md","REFERENCE","参考文档",121,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fplugin-eval\u002Ffixtures\u002Fminimal-skill\u002Freferences\u002Fdetails.md",{"path":61,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":64,"sourceHtmlUrl":65},"scripts\u002Ffetch-url.sh","SCRIPT","脚本",4672,"https:\u002F\u002Fgithub.com\u002Fl-lin\u002Fdotfiles\u002Fblob\u002Fmain\u002Fhome-manager\u002Fmodules\u002Fshare\u002Fai\u002F.config\u002Fai\u002Fskills\u002Fingest-url\u002Fscripts\u002Ffetch-url.sh",[67,86,104,131,144,159],{"skillNo":68,"name":69,"nameZh":6,"description":70,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":71,"categories":72,"keywords":76,"publishedAt":27},"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.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Fblob\u002Fmain\u002Fplugins\u002Fsupabase\u002Fskills\u002Fsupabase-postgres-best-practices\u002FSKILL.md",[73],{"categoryNo":74,"categoryName":75,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",[77,78,79,80,81,82,83,84,85],"supabase postgres best practices","best practices","writing","performance","sql","code","database","metrics","examples",{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":27},"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",[],[94,95,96,97,98,99,100,101,102,103],"physical ai neural reconstruction","github","python","docker","setup","toolkit","gpu","index","grpc","https",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":113,"publishedAt":27},"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",[110],{"categoryNo":111,"categoryName":112,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",[114,98,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130],"physical ai infrastructure setup and resilient scaling","infrastructure","azure","terraform","validation","deployment","synthetic data","ml","workload","deploy","validate","component","workflows","cli","inference","kubernetes","workflow",{"skillNo":132,"name":133,"nameZh":6,"description":134,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":138,"publishedAt":27},"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",[137],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[139,80,140,141,121,98,142,130,143,96],"omniverse usd performance tuning","triage","authentication","auth","memory",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":151,"publishedAt":27},"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",[150],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[152,153,154,130,96,155,156,100,157,119,121,158],"realtime","omniverse realtime viewer","electron","typescript","react","cpp","documents",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":167,"publishedAt":27},"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",[165,166],{"categoryNo":111,"categoryName":112,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[168,99,169,100,170,118,119,121,123,130,171,97,96,172],"omniverse cad to simready","content","package","linux","macos"]