vertex-infra-expert

Solid

Terraform infrastructure specialist for Vertex AI services and Gemini deployments. Provisions Model Garden, endpoints, vector search, pipelines, and enterprise AI infrastructure. Triggers: "vertex ai terraform", "gemini deployment terraform", "model garden infrastructure", "vertex ai endpoints"

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

## What This Skill Does Expert in provisioning Vertex AI infrastructure including Model Garden, Gemini endpoints, vector search, ML pipelines, and production AI services. ## When This Skill Activates Triggers: "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", "vector search terraform" ## Core Terraform Modules ### Gemini Model Endpoint ```hcl resource "google_vertex_ai_endpoint" "gemini_endpoint" { name = "gemini-25-flash-endpoint" display_name = "Gemini 2.5 Flash Production" location = var.region encryption_spec { kms_key_name = google_kms_crypto_key.vertex_key.id } } resource "google_vertex_ai_deployed_model" "gemini_deployment" { endpoint = google_vertex_ai_endpoint.gemini_endpoint.id model = "publishers/google/models/gemini-2.5-flash" dedicated_resources { min_replica_count = 1 max_replica_count = 10 machine_spec { machine_type = "n1-standard-4" } } automatic_resources { min_replica_count = 1 max_replica_count = 5 } } ``` ### Vector Search Index ```hcl resource "google_vertex_ai_index" "embeddings_index" { display_name = "production-embeddings" location = var.region metadata { contents_delta_uri = "gs://${google_storage_bucket.embeddings.name}/index" config { dimensions = 768 approximate_neighbors_count = 150 distance_measure_type = "DOT_PRODUCT_DISTANCE" ...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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