[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:219:":195},{"skillCount":4,"professionCount":5,"scenarioCount":6,"creatorCount":7},196826,11,7,1925,[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",1,13273,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",7774,[],{"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",4987,[],{"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",3446,[],{"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",3316,[],[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",39450,[],{"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",26531,[],{"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",13568,[],{"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",6285,[],{"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",6029,[],{"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",4160,229,829295,"2026-11-14 03:52:46",{"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.",362,32,437710,"2026-11-14 03:02:00",{"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",171,23,6,343687,"2026-11-14 03:12:46",{"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",419,75,8,298187,"2026-11-14 03:13:01",{"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",528,48,243019,"2026-11-14 03:03:50",{"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.",940,28,238680,"2026-11-14 03:13:39",{"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",674,17,231826,"2026-11-13 04:18:26",{"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",86,2,10,188019,"2026-11-14 03:13:09",{"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. ",324,3,174700,"2026-11-14 02:22:54",9,{"records":196,"total":4,"current":590,"size":591},[197,230,257,285,306,328,349,378,404,425,445,462,481,500,524,539,558,570],{"skillNo":198,"name":199,"nameZh":18,"description":200,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":205,"categories":206,"keywords":208,"publishedAt":229},"01M698ZPEJVQ9QQ6MC8W294WJ0","bigquery-ai-ml","Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, generate descriptive statistics and table distribution profiles, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.","google\u002Fskills","01M698WR0H76ENHE587T9EJT89",24122,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fbigquery-ai-ml\u002FSKILL.md",[207],{"categoryNo":28,"categoryName":29,"taxonomyType":11,"taxonomyTypeDesc":12},[209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228],"bigquery ai ml","ai ml","ml","bigquery","leverage","effect","distribution","advanced","generative ai","generative","translate","time","search","vector","structural","when","you","dataset","components","statistics","2026-11-10 10:12:30",{"skillNo":231,"name":232,"nameZh":18,"description":233,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":234,"categories":235,"keywords":236,"publishedAt":229},"01M698ZMA8F9H7A15YH2XQNWNP","assuredworkloads-frameworks-navigator","Acts as a Data Boundary Compliance Analyst that maps user compliance queries against Data Boundary Frameworks and cloud controls, validates matched resources, and recommends appropriate Frameworks or cloud controls. Use when mapping direct natural language workload requirements to Assured Workloads \u002F Data Boundary Frameworks and cloud controls, browsing built-in Data Boundary frameworks, or identifying major requirement gaps. Don't use for non-Data-Boundary Compliance Manager posture assessments or direct Terraform deployment execution without framework selection.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fassuredworkloads-frameworks-navigator\u002FSKILL.md",[],[237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,224],"assuredworkloads frameworks navigator","navigator","frameworks","resources","selection","browsing","maps","analyst","workload","data","manager","mapping","direct","framework selection","framework","natural language","as","for","deployment","execution",{"skillNo":258,"name":259,"nameZh":18,"description":260,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":261,"categories":262,"keywords":264,"publishedAt":229},"01M698ZH7R0NGT8S13GE47947Q","assuredworkloads-environment-assessor","Discover Google Cloud resource telemetry and effective Org Policies, evaluate brownfield workloads against sovereign data boundary and compliance standards (EU Data Boundary with Support, FedRAMP Moderate\u002FHigh, DoD IL4\u002FIL5, ITAR, CJIS, US\u002FEU Regional Data Boundaries), and recommend the optimal Assured Workloads Framework. Use when asked to: \"assess my environment for compliance\", \"which Assured Workloads framework should I use?\", \"check if my folder is ready for EU sovereignty\", \"evaluate compliance posture for folders\u002F123 or projects\u002Fxyz\", or \"discover compliance gaps before deployment\". Do NOT use for live mutating policy deployments, generating deep audit reports via Cloud Audit Manager, generating remediation scripts, or authoring custom Assured Workloads frameworks.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fassuredworkloads-environment-assessor\u002FSKILL.md",[263],{"categoryNo":49,"categoryName":50,"taxonomyType":11,"taxonomyTypeDesc":12},[265,266,267,145,268,269,270,271,272,273,274,275,276,277,278,279,280,246,281,282,251,283,224,284],"assuredworkloads environment assessor","environment","assessor","deep","ready","projects","discover","google cloud","fedramp","reports","brownfield","audit","support","remediation","scripts","authoring","live","org","which","recommend",{"skillNo":286,"name":287,"nameZh":18,"description":288,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":289,"categories":290,"keywords":292,"publishedAt":229},"01M698ZFFK5XPDWPA6T7600MNE","assured-workloads-basics","Provisions, inspects, updates, and deletes Google Cloud Assured Workloads V1 compliant folders, CMEK settings, Sovereign Controls by Partners, and service usage restrictions. Use when creating, listing, describing, updating, or deleting an Assured Workloads workload for any compliance regime or data boundary (FedRAMP, DoD IL2\u002FIL4\u002FIL5, ITAR, CJIS, Healthcare, Sovereign Controls by Partners, or Regional Data Boundaries). Don't use for brownfield assessments or custom frameworks (use assuredworkloads-environment-assessor or assuredworkloads-frameworks-*), or non-compliant folders.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fassured-workloads-basics\u002FSKILL.md",[291],{"categoryNo":49,"categoryName":50,"taxonomyType":11,"taxonomyTypeDesc":12},[293,294,145,295,272,273,296,275,245,246,297,298,299,254,239,266,300,301,302,303,224,267,304,305],"assured workloads basics","basics","healthcare","updates","security","dod","usage","controls","use","v1","partners","listing","custom",{"skillNo":307,"name":308,"nameZh":18,"description":309,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":310,"categories":311,"keywords":312,"publishedAt":229},"01M698ZDRR8GH0HXYHZ26Q0QEC","application-integration-troubleshooting","Diagnoses failed, stuck, or silent Google Cloud Application Integration runs and Integration Connectors tasks using the REST API, Cloud Logging, and Cloud Monitoring. Use when an integration fails, returns HTTP 200 without doing the expected work, hangs in a suspended or retry state, or hits IAM, run-as service account, connector health, or quota errors. Do not use for initial region provisioning (use application-integration-basics) or building and deploying versions (use application-integration-authoring).","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fapplication-integration-troubleshooting\u002FSKILL.md",[],[313,314,315,316,145,317,272,318,224,319,320,321,322,323,324,325,280,326,327,253],"application integration troubleshooting","integration","troubleshooting","application","retry","errors","tasks","api","Connector","monitoring","iam","work","run","logging","returns",{"skillNo":329,"name":330,"nameZh":18,"description":331,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":332,"categories":333,"keywords":337,"publishedAt":229},"01M698ZBX7MD2FX1WQ9AXB0X7Z","application-integration-basics","Explains Google Cloud Application Integration concepts, region provisioning, IAM roles, run-as service accounts, interface choices (REST, Python discovery client, Terraform, ADK), and platform limits. Use when setting up Application Integration in a Google Cloud project, enabling required APIs, provisioning a region, configuring IAM or run-as service accounts, choosing between Application Integration and custom code, or checking quotas and timeouts. Do not use for building, publishing, or invoking integrations (use application-integration-authoring) or diagnosing failed or stuck runs and logs (use application-integration-troubleshooting).","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fapplication-integration-basics\u002FSKILL.md",[334],{"categoryNo":335,"categoryName":336,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000011","运维与部署",[338,294,314,316,145,339,340,272,341,342,343,224,344,345,323,346,325,280,347,253,348],"application integration basics","python","adk","project","up","interface","code","logs","limits","concepts","do",{"skillNo":350,"name":351,"nameZh":18,"description":352,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":353,"categories":354,"keywords":363,"publishedAt":229},"01M698Z6XVNZF0G7CEG3QGVNS9","application-design-center-design-deploy","Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting deployment failures. Boundaries: - Only use for GCP-specific cloud infrastructure. - Only use for Terraform coding within the ADC context.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fapplication-design-center-design-deploy\u002FSKILL.md",[355,358,359,362],{"categoryNo":356,"categoryName":357,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":335,"categoryName":336,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":360,"categoryName":361,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},[364,365,366,316,145,254,255,367,368,301,369,224,370,371,372,373,374,375,376,377],"design","application design center design deploy","deploy","local","only","workflows","best-practice","gcp","with","plan","templates","cloud","terraform","cloud infrastructure",{"skillNo":379,"name":380,"nameZh":18,"description":381,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":382,"categories":383,"keywords":390,"publishedAt":229},"01M698Z35P4SQ48BTJ5PTE72AT","apigee-agent-gateway-governance","Stands up an Apigee API proxy that a Google Cloud Agent Gateway calls as an ext-proc (Service Extension) callout on an agent's LLM traffic, to meter token usage per model, extract caller identity, and apply Model Armor prompt screening or a semantic cache. Use when wiring Apigee in as an AI gateway behind an Agent Gateway, when an agent's model egress needs governing, or when a callout proxy returns no verdict and you need to find out why. The distinguishing question is whether Apigee forwards the traffic or only inspects it: this skill is inspect-only, and builds the proxy itself. Don't use it when Apigee is meant to receive a request and route it onward to a backend — including hosting an MCP server behind Apigee — which needs a proxy with a target instead. Don't use for governing the agent's calls to tools or MCP servers. Don't use for choosing or switching which model a request goes to. Don't use for creating the Agent Gateway itself, nor for Apigee hybrid.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fapigee-agent-gateway-governance\u002FSKILL.md",[384,387],{"categoryNo":385,"categoryName":386,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",[391,392,393,394,145,395,283,396,272,397,342,368,398,399,400,224,225,401,320,402,403],"apigee agent gateway governance","gateway","apigee","governance","MCP","model","inspect","question","traffic","switching","mcp server","wiring","route",{"skillNo":405,"name":406,"nameZh":18,"description":407,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":408,"categories":409,"keywords":413,"publishedAt":229},"01M6VEW7W6MY2HBZJXP3709ZZF","api-gateway-troubleshooting","Diagnoses failing requests and deployment errors on Google Cloud API Gateway. Use when calls through a gateway return 4xx or 5xx errors, including 429 and other quota errors, time out, or fail a CORS preflight; when `api-configs create` fails with a service account, concurrency, or limit error, or `gateways create` or `gateways update` fails; when a custom domain, load balancer, or TLS finding involves a gateway; or when the user asks if Google is at fault. Don't use for Apigee, Cloud Endpoints, or GKE Gateway API. For OpenAPI errors from `api-configs create`, use api-gateway-openapi-spec-authoring; for setting up or changing API keys, JWTs, or quotas, use api-gateway-backend-security-and-rate-limiting; for MCP `\u002Fmcp` errors, use api-gateway-mcp-server.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fapi-gateway-troubleshooting\u002FSKILL.md",[410,411,412],{"categoryNo":385,"categoryName":386,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},[320,414,415,392,315,416,272,417,220,342,418,318,419,395,420,224,421,422,423,424],"api gateway troubleshooting","api gateway","error","api keys","failing","load balancer","tls","Custom Domain","create","server","mcp-server",{"skillNo":426,"name":427,"nameZh":18,"description":428,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":429,"categories":430,"keywords":434,"publishedAt":229},"01M6PHNAPEGK65CKG9QXEHP131","api-gateway-openapi-spec-authoring","Writes, migrates, and fixes OpenAPI specs for Google Cloud API Gateway. Use when converting an OpenAPI 2.0 (Swagger) spec to OpenAPI 3.x, writing a new OpenAPI 3.x spec, or fixing a failed \"gcloud api-gateway api-configs create\", such as \"extension is only supported in OpenAPI 2.x\". Also use when quotas set with x-google-quota are never enforced, or when a backend receives path parameters as query parameters. Don't use for adding or debugging MCP tools (use api-gateway-mcp-server), backend lockdown or HTTP 429 tuning (use api-gateway-backend-security-and-rate-limiting), Cloud Endpoints, Apigee, or GKE Gateway API.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fapi-gateway-openapi-spec-authoring\u002FSKILL.md",[431,432,433],{"categoryNo":385,"categoryName":386,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},[320,435,280,415,436,392,437,438,439,440,441,272,368,395,442,443,444,422,423,424,224],"spec authoring","openapi spec","openapi","spec","api gateway openapi spec authoring","SET","never","writing","debugging","query",{"skillNo":446,"name":447,"nameZh":18,"description":448,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":449,"categories":450,"keywords":454,"publishedAt":229},"01M698Z0ZZ4F68A2MZ4WRKWMJC","api-gateway-mcp-server","Configures Google Cloud API Gateway to act as a remote Model Context Protocol (MCP) server (Public Preview) that exposes REST APIs as agent tools over HTTP (POST \u002Fmcp). Use when migrating OpenAPI 2.0 specs to OpenAPI 3.x for MCP, annotating specs with x-google-api-management.mcp and x-google-mcp-tool, securing tools\u002Flist with JWTs or API keys, connecting Google ADK (McpToolset) or Apigee API hub and Agent Registry, or troubleshooting MCP JSON-RPC errors (-32601, -32602, -32000). Do not use for Apigee X proxy bundles, outbound LLM model routing, or GKE Gateway API.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fapi-gateway-mcp-server\u002FSKILL.md",[451,452,453],{"categoryNo":385,"categoryName":386,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},[455,395,401,320,423,415,392,145,340,396,272,417,318,456,224,457,458,459,460,461],"api gateway mcp server","remote","preview","model context protocol","outbound","agent registry","gke",{"skillNo":463,"name":464,"nameZh":18,"description":465,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":466,"categories":467,"keywords":471,"publishedAt":229},"01M698YYV8SM3EKCDTFF6J6QN9","api-gateway-backend-security-and-rate-limiting","Secures and rate limits backend services behind Google Cloud API Gateway across OpenAPI 2.0 and OpenAPI 3.0.x API configurations, including MCP-enabled gateways. Use when configuring API key or JWT authentication, locking down Cloud Run or Cloud Run functions backends with a gateway service account, reading authenticated claims from X-Apigateway-Api-Userinfo, setting per-project request quotas, or diagnosing HTTP 429 and HTTP 500 Service Control Quota errors. Do not use for Apigee, GKE Gateway API, Cloud Load Balancing custom domain setup, or LLM model routing.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fapi-gateway-backend-security-and-rate-limiting\u002FSKILL.md",[468,469,470],{"categoryNo":385,"categoryName":386,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},[472,320,473,415,297,392,474,475,476,145,395,477,396,272,341,478,479,318,224,421,480],"api gateway backend security and rate limiting","rate","backend security","rate limiting","backend","backend services","x api","authentication","across",{"skillNo":482,"name":483,"nameZh":18,"description":484,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":485,"categories":486,"keywords":489,"publishedAt":229},"01M698YWA2Q0WKQT7J3BNQCH8W","alloydb-basics","Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Falloydb-basics\u002FSKILL.md",[487,488],{"categoryNo":385,"categoryName":386,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},[490,294,395,491,348,492,396,254,493,494,301,495,224,458,371,372,496,497,498,499],"alloydb basics","instances","databases","general","database operations","database","postgresql","operations","sql","protocol",{"skillNo":501,"name":502,"nameZh":18,"description":503,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":504,"categories":505,"keywords":507,"publishedAt":229},"01M698YT1HRG6WR1V5GTKAB896","agent-platform-tuning","Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fagent-platform-tuning\u002FSKILL.md",[506],{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},[508,509,510,511,512,396,513,514,225,515,516,517,254,255,301,518,519,520,521,366,522,224,523],"agent platform tuning","tuning","platform","agent platform","gemini","training","open","agent-platform","endpoint","infrastructure","model deployment","endpoints","models","tune","management","serving",{"skillNo":525,"name":526,"nameZh":18,"description":527,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":528,"categories":529,"keywords":531,"publishedAt":229},"01M698YRA1RZTTDDH8WX5QSWG2","agent-platform-tuning-management","Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fagent-platform-tuning-management\u002FSKILL.md",[530],{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},[532,508,510,509,522,511,533,534,396,254,301,535,536,519,520,515,537,366,538,516,523],"agent platform tuning management","genai","get","Fine-Tuning","cancel","list","jobs",{"skillNo":540,"name":541,"nameZh":18,"description":542,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":543,"categories":544,"keywords":546,"publishedAt":229},"01M698YP6ECW2J1HM05NHN206V","agent-platform-troubleshooting","Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues across Agent Gateway, Agent Connectivity Templates (ACT), Agent Registry, Agent Identity, Identity-Aware Proxy (IAP), Unified Access Policies (UAP), Model Armor, Semantic Governance Policies (SGP), Cloud DNS peering, Private CA TrustConfig, Next-Hop Secure Web Proxy (SWP), Explicit HTTPS Proxy (L4 AuthzPolicy), and Cloud Trace. Use when agent requests fail with 401\u002F403\u002F404\u002F498\u002F500\u002F503 or Code 13, Egress request is not authorized, HTTP CONNECT fails with 404, Agent Runtime crashes on startup, or gateway\u002FACT\u002FIAP\u002FModel Armor\u002FSGP configs fail validation. Don't use for general Google Cloud Identity and Access Management (IAM) debugging or networking issues unrelated to the Agent Platform stack.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fagent-platform-troubleshooting\u002FSKILL.md",[545],{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},[547,510,315,511,145,512,548,272,549,460,323,550,551,552,553,554,555,556,557,493,301,254],"agent platform troubleshooting","gemini enterprise agent platform","connect","stack","iap","secure","act","registry","agent identity","identity","Enterprise",{"skillNo":559,"name":560,"nameZh":18,"description":561,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":562,"categories":563,"keywords":565,"publishedAt":229},"01M698YMB535TQM28M9B8M36RT","agent-platform-skill-registry","Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fagent-platform-skill-registry\u002FSKILL.md",[564],{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},[566,510,567,511,554,512,271,568,548,254,221,557,301,569,372,422],"agent platform skill registry","skill registry","register","capabilities",{"skillNo":571,"name":572,"nameZh":18,"description":573,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":574,"categories":575,"keywords":578,"publishedAt":229},"01M698YJAAMYY71HRFBT3CCH4Z","agent-platform-rag-engine-management","Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL\u002FSpanner skills), Google Workspace RAG, or other RAG products like gRAG.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fagent-platform-rag-engine-management\u002FSKILL.md",[576,577],{"categoryNo":385,"categoryName":386,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":388,"categoryName":389,"taxonomyType":58,"taxonomyTypeDesc":59},[579,510,580,581,522,511,145,533,348,582,254,583,584,585,301,495,444,586,587,588,498,224,304,589],"agent platform rag engine management","engine","rag","google workspace","manage","files","database queries","queries","sdk","workspace","standard",219,18]