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.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin jeremy-vertex-terraformProvisions secure Vertex AI ADK infrastructure with Terraform: Agent Engine runtime, code execution sandbox, Memory Bank, VPC Service Controls, IAM roles, and networking.
Provisions Terraform infrastructure for Genkit AI apps on Firebase Functions, Cloud Run, or GKE with secrets, monitoring dashboards, auto-scaling, and CI/CD.
Google Cloud Platform configuration templates for BigQuery ML and Vertex AI training with authentication setup, GPU/TPU configs, and cost estimation tools. Use when setting up GCP ML training, configuring BigQuery ML models, deploying Vertex AI training jobs, estimating GCP costs, configuring cloud authentication, selecting GPUs/TPUs for training, or when user mentions BigQuery ML, Vertex AI, GCP training, cloud ML setup, TPU training, or Google Cloud costs.