[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:214:":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",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",39452,[],{"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",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",6286,[],{"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",4160,229,11,7,829289,"2026-11-14 03:09:22",{"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",171,23,6,343687,"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",419,75,8,298187,"2026-11-14 03:13:01",{"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",528,48,242984,"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.",940,28,238680,"2026-11-14 03:13:39",{"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",86,2,10,188019,"2026-11-14 03:13:09",{"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",1926,9,{"skillCount":194,"professionCount":107,"scenarioCount":108,"creatorCount":191},196838,{"records":196,"total":194,"current":588,"size":589},[197,229,259,287,314,337,358,377,400,425,441,460,480,495,516,531,548,571],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":205,"categories":206,"keywords":207,"publishedAt":228},"01M699742BSK5YHYA7KDPY35XR","google-cloud-storage-fuse","Mounts Cloud Storage buckets on Google Cloud as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when interacting with gcsfuse or Cloud Storage FUSE mounts: decide whether FUSE, native gs:\u002F\u002F reads, or Filestore\u002FManaged Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size file, stat, and list caches, tune mount flags (--implicit-dirs) or config files, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace\u002FHNS, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or bill spikes with gcsfuse metrics. Covers mount semantics, gcsfuse CLI and configs, GKE gcsfuse CSI driver (Workload Identity principal:\u002F\u002F bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration without a mount (google-cloud-storage-basics) or POSIX shared file systems (Filestore, Managed Lustre; use gke-storage).","google\u002Fskills","01M698WR0H76ENHE587T9EJT89",24122,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-storage-fuse\u002FSKILL.md",[],[142,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227],"google cloud","google cloud storage fuse","Cloud Storage","storage","cloud","cli","safe","shared","volume","cloud-storage","time","decide","training","managed","files","when","native","close","gke","run","2026-11-10 10:12:30",{"skillNo":230,"name":231,"nameZh":13,"description":232,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":233,"categories":234,"keywords":235,"publishedAt":228},"01M69972D80GAA9QX2QPN5D6MS","google-cloud-storage-diagnostic","Troubleshoots and diagnoses Cloud Storage on Google Cloud (also known colloquially as GCS) access and permission denials (403 Permission Denied or Insufficient Permission) and access control conflicts. Use whenever a user encounters or asks to analyze a 403 error on a bucket or object - including analysis-only questions where no commands are run - or needs help with IAM bindings, fine-grained ACLs, Uniform Bucket-Level Access (UBLA), getIamPolicy inspection denials and least-privilege inspection roles, browser storage.cloud.google.com Cookieauth and Data Access Audit Logging conflicts, Signed URL SignatureDoesNotMatch errors, VPC Service Controls (VPC-SC) perimeters, explicit IAM Deny policies, Bucket IP Filtering, Requester Pays, Retention Policy locks, Compute Engine VM access scopes, Application Default Credentials (ADC) mismatches, recursive delete permissions, or recreated service accounts. Don't use for creating buckets, routine uploads\u002Fdownloads, proactive security audits, or Cloud Storage FUSE mounts.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-storage-diagnostic\u002FSKILL.md",[],[142,236,208,210,211,212,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,227,255,256,257,258],"google cloud storage diagnostic","diagnostic","error","vpc","retention","default","ip","errors","only","access","URL","analysis","analyze","iam","browser","inspection","conflicts","permissions","delete","least-privilege","routine","security","Access Control",{"skillNo":260,"name":261,"nameZh":13,"description":262,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":263,"categories":264,"keywords":272,"publishedAt":228},"01M6996W1JSZ99XVHXWNG14PSB","google-cloud-storage-basics","Stores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Use when you need to interact with Cloud Storage — set up a Storage MCP server (remote or local Toolbox), create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes (Standard, Nearline, Coldline, Archive), manage lifecycle and cost, protect data (versioning, CMEK, retention, Bucket Lock, holds, soft delete), host static websites, trigger Pub\u002FSub notifications, mount buckets (gcsfuse), or optimize performance. Covers gcloud storage \u002F gsutil, JSON\u002FXML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for generic MCP setup that doesn't mention Cloud Storage, other MCP servers, block storage (Persistent Disk), BigQuery, or databases (Cloud SQL, Spanner, Bigtable, Firestore).","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-storage-basics\u002FSKILL.md",[265,268,271],{"categoryNo":266,"categoryName":267,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":269,"categoryName":270,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":23,"categoryName":24,"taxonomyType":6,"taxonomyTypeDesc":7},[142,273,208,210,211,274,212,275,276,277,278,279,280,281,217,240,282,283,284,285,286,245],"google cloud storage basics","basics","MCP","mcp server","gcloud","performance","SET","databases","static","up","local","objects","remote","host",{"skillNo":288,"name":289,"nameZh":13,"description":290,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":291,"categories":292,"keywords":298,"publishedAt":228},"01M6996S81RSN6DKK43E9PH2X5","google-cloud-solution-rag-enterprise-search-gke-sqldb","Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-solution-rag-enterprise-search-gke-sqldb\u002FSKILL.md",[293,294,297],{"categoryNo":266,"categoryName":267,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":295,"categoryName":296,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},[142,208,299,300,301,226,302,303,212,304,305,306,307,308,309,310,221,311,286,312,223,313],"google cloud solution rag enterprise search gke sqldb","enterprise search","search","rag","Enterprise","design","containers","kubernetes","embedding","model","vector","sql database","open","database","components",{"skillNo":315,"name":316,"nameZh":13,"description":317,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":318,"categories":319,"keywords":323,"publishedAt":228},"01M6996Q0DJB1QSH6ND2WA233N","google-cloud-solution-n-tier-serverless-web-app","Assists in designing and implementing secure n-tier serverless web applications and microservices on Google Cloud. Use when users need architecture designs, security checklists, Terraform code, or deployment guidance for multi-tier serverless apps, regional data residency \u002F European sovereignty compliance, zero-trust private VPC networking, or Private Service Connect. Don't use for VM, GKE, or non-Google Cloud architectures.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-solution-n-tier-serverless-web-app\u002FSKILL.md",[320],{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000009","前端开发",[142,208,324,325,326,212,327,328,257,239,329,330,331,223,332,333,334,226,335,336],"google cloud solution n tier serverless web app","app","web","web app","serverless","implementing","connect","apps","code","architecture","zero-trust","secure","data",{"skillNo":338,"name":339,"nameZh":13,"description":340,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":341,"categories":342,"keywords":344,"publishedAt":228},"01M6996KP3GD7QBTD7J4GCF6NS","google-cloud-solution-multi-agent-security","Designs, deploys, and secures Google Cloud Agent Gateway solutions. Use when the user needs to configure multi-agent security, ingress (CLIENT_TO_AGENT), or egress (AGENT_TO_ANYWHERE) patterns involving Model Armor, IAP, and Agent Registry. Don't use for general Cloud Load Balancing or basic VPC setup not related to Agent Gateways.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-solution-multi-agent-security\u002FSKILL.md",[343],{"categoryNo":269,"categoryName":270,"taxonomyType":53,"taxonomyTypeDesc":54},[142,345,346,347,257,208,348,212,239,308,223,349,350,351,352,353,354,355,356,357],"multi agent","agent security","google cloud solution multi agent security","multi","configure","agent registry","solutions","iap","registry","patterns","multi-agent","gateway","gateways",{"skillNo":359,"name":360,"nameZh":13,"description":361,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":362,"categories":363,"keywords":367,"publishedAt":228},"01M6996GWKAGXSBDCR5AHZBGNJ","google-cloud-solution-hybrid-search-alloydb","Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-solution-hybrid-search-alloydb\u002FSKILL.md",[364,365,366],{"categoryNo":266,"categoryName":267,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":295,"categoryName":296,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},[142,208,368,369,301,370,212,304,280,371,372,373,309,221,244,312,223,374,375,376],"google cloud solution hybrid search alloydb","Hybrid Search","hybrid","standalone","attributes","combined","across","vector database","sql",{"skillNo":378,"name":379,"nameZh":13,"description":380,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":381,"categories":382,"keywords":385,"publishedAt":228},"01M6996EADDQJB1XHSHF2DX3GG","google-cloud-solution-guided-gke-ai-migration","Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-solution-guided-gke-ai-migration\u002FSKILL.md",[383,384],{"categoryNo":295,"categoryName":296,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":269,"categoryName":270,"taxonomyType":53,"taxonomyTypeDesc":54},[142,208,386,226,387,212,275,388,389,390,391,276,277,392,308,393,282,394,223,395,396,397,398,399,227],"google cloud solution guided gke ai migration","migration","gemini enterprise agent platform","gemini","gke inference","gemini api","inference","move","traffic","migrate","api","guides","self","server",{"skillNo":401,"name":402,"nameZh":13,"description":403,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":404,"categories":405,"keywords":411,"publishedAt":228},"01M69965CE51BD0YBNY263CMA5","google-cloud-solution-agentic-ai-data-science-workflow","Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-solution-agentic-ai-data-science-workflow\u002FSKILL.md",[406,407,410],{"categoryNo":269,"categoryName":270,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":408,"categoryName":409,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000031","产品经理",{"categoryNo":23,"categoryName":24,"taxonomyType":6,"taxonomyTypeDesc":7},[142,208,412,413,414,415,416,417,336,212,418,419,420,421,422,223,423,424,332,333],"agentic","agentic ai","google cloud solution agentic ai data science workflow","science","data science","workflow","writing","reviews","for","general","use","ml","best practices",{"skillNo":426,"name":427,"nameZh":13,"description":428,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":429,"categories":430,"keywords":432,"publishedAt":228},"01M69962G32HG3RQHX0RMSTT3W","google-cloud-solution-agentic-ai-borderless-data-lakehouse","Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-solution-agentic-ai-borderless-data-lakehouse\u002FSKILL.md",[431],{"categoryNo":23,"categoryName":24,"taxonomyType":6,"taxonomyTypeDesc":7},[142,208,412,433,413,434,336,212,388,389,435,436,437,210,311,438,439,223,440,132,211],"google cloud solution agentic ai borderless data lakehouse","lakehouse","ingestion","iceberg","aws s3","knowledge","workflows","focus",{"skillNo":442,"name":443,"nameZh":13,"description":444,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":445,"categories":446,"keywords":447,"publishedAt":228},"01M6995YQJBKJAD15ZKQV6HAG7","google-cloud-slo-alert-configuration","Configures Cloud Monitoring PromQL-based Service Level Objective (SLO) alerting policies on Google Cloud for resources registered in App Hub or individually specified. Generates Terraform output. Use when the user asks to configure an SLO or Service Level Objective. Don't use for standard alerting policies.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-slo-alert-configuration\u002FSKILL.md",[],[142,208,448,449,450,212,451,325,452,420,453,422,223,349,454,455,456,457,458,459],"google cloud slo alert configuration","slo","alert","configuration","resources","cloud monitoring","alerting","objective","promql","standard","monitoring","output",{"skillNo":461,"name":462,"nameZh":13,"description":463,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":464,"categories":465,"keywords":466,"publishedAt":228},"01M6995WV0Z7HRFPY369B1K1Y8","google-cloud-scc-remediation","Remediates Google Cloud Security Command Center findings, including IAM permission fixes, cloud resource misconfigurations, vulnerabilities, and Toxic Combinations. Use when asked to fix, remediate, or mitigate a Security Command Center finding or address attack paths. Don't use for general IAM policy querying without a Security Command Center finding. For runtime threat detections, this skill provides containment and investigation guidance rather than automated configuration fixes.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-scc-remediation\u002FSKILL.md",[],[142,208,467,468,469,212,257,470,471,472,473,474,420,475,476,421,422,477,223,478,479],"google cloud scc remediation","remediation","scc","security command center","policy","command center","cloud security","fixes","runtime","fix","containment","combinations","remediate",{"skillNo":481,"name":482,"nameZh":13,"description":483,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":484,"categories":485,"keywords":486,"publishedAt":228},"01M6995V58K1AZB0GGX15F63R1","google-cloud-scc-query","Queries and retrieves active security findings, external exposures, toxic combinations, vulnerabilities, threats, and sensitive data risks from Security Command Center on Google Cloud. Use when retrieving details for a security finding by its name, validating finding scope (e.g., verifying findingClass is TOXIC_COMBINATION, VULNERABILITY, EXTERNAL_EXPOSURE, or THREAT), or fetching finding details for triage. Don't use to draft remediations, apply patches, or execute configurations.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-scc-query\u002FSKILL.md",[],[142,208,487,488,469,212,257,470,472,489,223,490,491,492,336,493,420,422,494,478],"google cloud scc query","query","scope","vulnerability","command","active","threat","apply",{"skillNo":496,"name":497,"nameZh":13,"description":498,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":499,"categories":500,"keywords":504,"publishedAt":228},"01M6995SG3Y2Y7WJWWSEND7B3G","google-cloud-recipe-onboarding","Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organization setup (use Google Cloud Setup guided flow for that instead). Don't use for complex multi-project architectures.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-recipe-onboarding\u002FSKILL.md",[501],{"categoryNo":502,"categoryName":503,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000038","人力资源",[142,208,505,506,212,507,508,509,510,511,512,513,420,514,515,303,422,223,349,397],"google cloud recipe onboarding","recipe","onboarding","initialize","billing setup","billing","architectures","account creation","creation","project","deployment",{"skillNo":517,"name":518,"nameZh":13,"description":519,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":520,"categories":521,"keywords":522,"publishedAt":228},"01M6995QP11M7Y4PDCQYHT0ZM8","google-cloud-recipe-foundation-builder","Deploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and projects, billing association, and centralized logging and monitoring. Deploys Google Cloud's recommended security controls and architecture. Use when setting up a new Google Cloud Organization or establishing a secure, enterprise-grade landing zone foundation.\nDon't use for individual project onboarding (use google-cloud-recipe-onboarding or product-specific skills instead).","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-recipe-foundation-builder\u002FSKILL.md",[],[142,208,523,524,506,525,212,257,526,510,514,282,527,223,333,458,528,529,530,335],"google cloud recipe foundation builder","builder","foundation","projects","Guardrails","hierarchy","product","organization",{"skillNo":532,"name":533,"nameZh":13,"description":534,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":535,"categories":536,"keywords":537,"publishedAt":228},"01M6995P541KVP3JXRCN17FAA8","google-cloud-recipe-auth","Provides expert guidance on Identity and Access Management (IAM) and authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-cloud-recipe-auth\u002FSKILL.md",[],[142,208,538,539,506,212,540,241,245,249,541,542,335,543,420,424,544,545,546,547],"google cloud recipe auth","auth","expert","credentials","human","identity","users","services","guidance","service",{"skillNo":549,"name":550,"nameZh":13,"description":551,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":552,"categories":553,"keywords":556,"publishedAt":228},"01M69956P06PPW3M4W97A0JKVZ","google-agents-cli-onboarding","Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to \"create a new agent\", \"develop an agent\", \"build an agent using ADK\", \"run the agent locally\", \"debug agent code\", \"test an agent\", \"evaluate an agent\", \"deploy an agent\", \"publish an agent\", \"monitor an agent\", or needs the ADK (Agent Development Kit) development lifecycle.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgoogle-agents-cli-onboarding\u002FSKILL.md",[554,555],{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":502,"categoryName":503,"taxonomyType":6,"taxonomyTypeDesc":7},[142,213,557,507,558,559,560,561,562,563,564,420,565,566,567,568,223,332,569,570],"google agents cli onboarding","adk","agent development kit","agent development","development lifecycle","new agent","platform","development","lifecycle","monitor","kit","debug","debug agent","publish",{"skillNo":572,"name":573,"nameZh":13,"description":574,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":142,"ownerAvatarUrl":144,"ownerAccountNo":141,"ownerDisplayName":143,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":575,"categories":576,"keywords":577,"publishedAt":228},"01M69954KFDTZS7Z474NRVY7C5","gke-workload-troubleshooting","Diagnoses GKE workload failures (CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, etc.) via logs and events. Use when pods fail to start or crash repeatedly. Don't use for GKE cluster infrastructure provisioning, node pool creation, or non-Kubernetes Google Cloud services.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fgke-workload-troubleshooting\u002FSKILL.md",[],[578,226,579,580,142,208,305,306,513,223,581,582,583,584,585,586,420,422,587,545],"gke workload troubleshooting","workload","troubleshooting","logs","node","start","events","infrastructure","cluster","pending",214,18]