[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FCF6QXBYEYWNTKTZKP46NB":3,"skill-same:01M6FCF6QXBYEYWNTKTZKP46NB":75},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":57,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M6FCF6QXBYEYWNTKTZKP46NB","vertex-infra-expert",null,"Terraform infrastructure specialist for Vertex AI services and Gemini deployments.\nProvisions Model Garden, endpoints, vector search, pipelines, and enterprise AI infrastructure.\nTriggers: \"vertex ai terraform\", \"gemini deployment terraform\", \"model garden infrastructure\", \"vertex ai endpoints\"","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fvertex-infra-expert\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"infra","expert","vertex infra expert","write","ai infrastructure","triggers","enterprise ai","endpoints","deployments","edit","gemini","read","model","Bash","Enterprise","services","vector","search","deployment","vertex ai","2026-11-10 10:12:30",false,"---\nname: vertex-infra-expert\ndescription: |\n  Terraform infrastructure specialist for Vertex AI services and Gemini deployments.\n  Provisions Model Garden, endpoints, vector search, pipelines, and enterprise AI infrastructure.\n  Triggers: \"vertex ai terraform\", \"gemini deployment terraform\", \"model garden infrastructure\", \"vertex ai endpoints\"\nallowed-tools: Read, Write, Edit, Grep, Glob, Bash\nversion: 1.0.0\n---\n\n## What This Skill Does\n\nExpert in provisioning Vertex AI infrastructure including Model Garden, Gemini endpoints, vector search, ML pipelines, and production AI services.\n\n## When This Skill Activates\n\nTriggers: \"vertex ai terraform\", \"deploy gemini terraform\", \"model garden infrastructure\", \"vertex ai endpoints terraform\", \"vector search terraform\"\n\n## Core Terraform Modules\n\n### Gemini Model Endpoint\n\n```hcl\nresource \"google_vertex_ai_endpoint\" \"gemini_endpoint\" {\n  name         = \"gemini-25-flash-endpoint\"\n  display_name = \"Gemini 2.5 Flash Production\"\n  location     = var.region\n\n  encryption_spec {\n    kms_key_name = google_kms_crypto_key.vertex_key.id\n  }\n}\n\nresource \"google_vertex_ai_deployed_model\" \"gemini_deployment\" {\n  endpoint = google_vertex_ai_endpoint.gemini_endpoint.id\n  model    = \"publishers\u002Fgoogle\u002Fmodels\u002Fgemini-2.5-flash\"\n\n  dedicated_resources {\n    min_replica_count      = 1\n    max_replica_count      = 10\n    machine_spec {\n      machine_type = \"n1-standard-4\"\n    }\n  }\n\n  automatic_resources {\n    min_replica_count = 1\n    max_replica_count = 5\n  }\n}\n```\n\n### Vector Search Index\n\n```hcl\nresource \"google_vertex_ai_index\" \"embeddings_index\" {\n  display_name = \"production-embeddings\"\n  location     = var.region\n\n  metadata {\n    contents_delta_uri = \"gs:\u002F\u002F${google_storage_bucket.embeddings.name}\u002Findex\"\n    config {\n      dimensions                  = 768\n      approximate_neighbors_count = 150\n      distance_measure_type       = \"DOT_PRODUCT_DISTANCE\"\n\n      algorithm_config {\n        tree_ah_config {\n          leaf_node_embedding_count    = 1000\n          leaf_nodes_to_search_percent = 10\n        }\n      }\n    }\n  }\n}\n```\n\n## Tool Permissions\n\nRead, Write, Edit, Grep, Glob, Bash - AI infrastructure provisioning\n\n## References\n\n- Vertex AI Terraform: https:\u002F\u002Fregistry.terraform.io\u002Fproviders\u002Fhashicorp\u002Fgoogle\u002Flatest\u002Fdocs\u002Fresources\u002Fvertex_ai_endpoint\n\n","## What This Skill Does\n\nExpert in provisioning Vertex AI infrastructure including Model Garden, Gemini endpoints, vector search, ML pipelines, and production AI services.\n\n## When This Skill Activates\n\nTriggers: \"vertex ai terraform\", \"deploy gemini terraform\", \"model garden infrastructure\", \"vertex ai endpoints terraform\", \"vector search terraform\"\n\n## Core Terraform Modules\n\n### Gemini Model Endpoint\n\n```hcl\nresource \"google_vertex_ai_endpoint\" \"gemini_endpoint\" {\n  name         = \"gemini-25-flash-endpoint\"\n  display_name = \"Gemini 2.5 Flash Production\"\n  location     = var.region\n\n  encryption_spec {\n    kms_key_name = google_kms_crypto_key.vertex_key.id\n  }\n}\n\nresource \"google_vertex_ai_deployed_model\" \"gemini_deployment\" {\n  endpoint = google_vertex_ai_endpoint.gemini_endpoint.id\n  model    = \"publishers\u002Fgoogle\u002Fmodels\u002Fgemini-2.5-flash\"\n\n  dedicated_resources {\n    min_replica_count      = 1\n    max_replica_count      = 10\n    machine_spec {\n      machine_type = \"n1-standard-4\"\n    }\n  }\n\n  automatic_resources {\n    min_replica_count = 1\n    max_replica_count = 5\n  }\n}\n```\n\n### Vector Search Index\n\n```hcl\nresource \"google_vertex_ai_index\" \"embeddings_index\" {\n  display_name = \"production-embeddings\"\n  location     = var.region\n\n  metadata {\n    contents_delta_uri = \"gs:\u002F\u002F${google_storage_bucket.embeddings.name}\u002Findex\"\n    config {\n      dimensions                  = 768\n      approximate_neighbors_count = 150\n      distance_measure_type       = \"DOT_PRODUCT_DISTANCE\"\n\n      algorithm_config {\n        tree_ah_config {\n          leaf_node_embedding_count    = 1000\n          leaf_nodes_to_search_percent = 10\n        }\n      }\n    }\n  }\n}\n```\n\n## Tool Permissions\n\nRead, Write, Edit, Grep, Glob, Bash - AI infrastructure provisioning\n\n## References\n\n- Vertex AI Terraform: https:\u002F\u002Fregistry.terraform.io\u002Fproviders\u002Fhashicorp\u002Fgoogle\u002Flatest\u002Fdocs\u002Fresources\u002Fvertex_ai_endpoint\n\n",{"name":5,"version":49,"description":50,"allowed-tools":51},"1.0.0","Terraform infrastructure specialist for Vertex AI services and Gemini deployments.\nProvisions Model Garden, endpoints, vector search, pipelines, and enterprise AI infrastructure.\nTriggers: \"vertex ai terraform\", \"gemini deployment terraform\", \"model garden infrastructure\", \"vertex ai endpoints\"\n","Read, Write, Edit, Grep, Glob, 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