vertex-infra-expert
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"
Best use case
vertex-infra-expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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"
Teams using vertex-infra-expert should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/vertex-infra-expert/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How vertex-infra-expert Compares
| Feature / Agent | vertex-infra-expert | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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"
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
## 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"
algorithm_config {
tree_ah_config {
leaf_node_embedding_count = 1000
leaf_nodes_to_search_percent = 10
}
}
}
}
}
```
## Tool Permissions
Read, Write, Edit, Grep, Glob, Bash - AI infrastructure provisioning
## References
- Vertex AI Terraform: https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/vertex_ai_endpointRelated Skills
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