Provisions Vertex AI infrastructure with Terraform: Model Garden models, Gemini endpoints, vector search indices, ML pipelines, encryption, auto-scaling, and IAM.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jeremy-vertex-terraform:vertex-infra-expertThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Provision Vertex AI infrastructure with Terraform (endpoints, deployed models, vector search indices, pipelines) with production guardrails: encryption, autoscaling, IAM least privilege, and operational validation steps. Use this skill to generate a minimal working Terraform baseline and iterate toward enterprise-ready deployments.
Provision Vertex AI infrastructure with Terraform (endpoints, deployed models, vector search indices, pipelines) with production guardrails: encryption, autoscaling, IAM least privilege, and operational validation steps. Use this skill to generate a minimal working Terraform baseline and iterate toward enterprise-ready deployments.
Before using this skill, ensure:
See Terraform implementation details for output format specifications.
See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.
See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.
5plugins reuse this skill
First indexed Jul 10, 2026
npx claudepluginhub fleet-to-force/claude-code-plugins-plus --plugin jeremy-vertex-terraformProvisions Vertex AI infrastructure with Terraform: endpoints, Model Garden models, vector search indices, ML pipelines with encryption and auto-scaling.
Guides Vertex AI model deployment tasks including ML serving, MLOps pipelines, monitoring, and production optimization.
Provisions Vertex AI ADK infrastructure with Terraform: Agent Engine runtime, code execution sandbox, VPC-SC, and IAM roles. Use for deploying secure multi-agent infrastructure on Google Cloud.