Agent-Skills.md

Agent Skills: Vertex Infra Expert

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UncategorizedID: jeremylongshore/claude-code-plugins-plus-skills/vertex-infra-expert

Repository

jeremylongshore/claude-code-plugins-plus-skills
jeremylongshoreLicense: NOASSERTION
1,723221

Install this agent skill to your local

pnpm dlx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/HEAD/plugins/devops/jeremy-vertex-terraform/skills/vertex-infra-expert

Skill Files

Browse the full folder contents for vertex-infra-expert.

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plugins/devops/jeremy-vertex-terraform/skills/vertex-infra-expert/SKILL.md

Skill Metadata

Name
vertex-infra-expert
Description
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Vertex Infra Expert

Overview

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.

Prerequisites

Before using this skill, ensure:

  • Google Cloud project with Vertex AI API enabled
  • Terraform 1.0+ installed
  • gcloud CLI authenticated with appropriate permissions
  • Understanding of Vertex AI services and ML models
  • KMS keys created for encryption (if required)
  • GCS buckets for model artifacts and embeddings

Instructions

  1. Define AI Services: Identify required Vertex AI components (endpoints, vector search, pipelines)
  2. Configure Terraform: Set up backend and define project variables
  3. Provision Endpoints: Deploy Gemini or custom model endpoints with auto-scaling
  4. Set Up Vector Search: Create indices for embeddings with appropriate dimensions
  5. Configure Encryption: Apply KMS encryption to endpoints and data
  6. Implement Monitoring: Set up Cloud Monitoring for model performance
  7. Apply IAM Policies: Grant least privilege access to AI services
  8. Validate Deployment: Test endpoints and verify model availability

Output

  • Configuration files or code changes applied to the project
  • Validation report confirming correct implementation
  • Summary of changes made and their rationale

See Terraform implementation details for output format specifications.

Error Handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.

Resources

  • Vertex AI Terraform: https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/vertex_ai_endpoint
  • Vertex AI documentation: https://cloud.google.com/vertex-ai/docs
  • Model Garden: https://cloud.google.com/model-garden
  • Vector Search guide: https://cloud.google.com/vertex-ai/docs/vector-search
  • Terraform examples in ${CLAUDE_SKILL_DIR}/vertex-examples/