Back to Skills

adk-infra-expert

jeremylongshore
Updated Today
68 views
712
74
712
View on GitHub
Developmentai

About

This Claude Skill provisions production Vertex AI ADK Agent Engine infrastructure using Terraform. It handles core components including Agent Engine runtime, Code Execution Sandbox, Memory Bank, VPC-SC, and IAM security. Use it when you need to deploy or manage secure multi-agent infrastructure for ADK production environments.

Quick Install

Claude Code

Recommended
Plugin CommandRecommended
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus
Git CloneAlternative
git clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/adk-infra-expert

Copy and paste this command in Claude Code to install this skill

Documentation

What This Skill Does

Expert in provisioning production Vertex AI ADK infrastructure with Agent Engine, Code Execution Sandbox (14-day state), Memory Bank, VPC Service Controls, and enterprise security.

When This Skill Activates

Triggers: "adk terraform deployment", "agent engine infrastructure", "provision adk agent", "vertex ai agent terraform", "code execution sandbox terraform"

Core Terraform Modules

Agent Engine Deployment

resource "google_vertex_ai_agent_runtime" "adk_agent" {
  project  = var.project_id
  location = var.region

  display_name = "adk-production-agent"

  agent_config {
    model         = "gemini-2.5-flash"

    code_execution {
      enabled           = true
      state_ttl_days    = 14
      sandbox_type      = "SECURE_ISOLATED"
    }

    memory_bank {
      enabled = true
    }

    tools = [
      {
        code_execution = {}
      },
      {
        memory_bank = {}
      }
    ]
  }

  vpc_config {
    vpc_network    = google_compute_network.agent_vpc.id
    private_service_connect {
      enabled = true
    }
  }
}

VPC Service Controls

resource "google_access_context_manager_service_perimeter" "adk_perimeter" {
  parent = "accessPolicies/${var.access_policy_id}"
  name   = "accessPolicies/${var.access_policy_id}/servicePerimeters/adk_perimeter"
  title  = "ADK Agent Engine Perimeter"

  status {
    restricted_services = [
      "aiplatform.googleapis.com",
      "run.googleapis.com"
    ]

    vpc_accessible_services {
      enable_restriction = true
      allowed_services   = [
        "aiplatform.googleapis.com"
      ]
    }
  }
}

IAM for Native Agent Identity

resource "google_project_iam_member" "agent_identity" {
  project = var.project_id
  role    = "roles/aiplatform.agentUser"
  member  = "serviceAccount:${google_service_account.adk_agent.email}"
}

resource "google_service_account" "adk_agent" {
  account_id   = "adk-agent-sa"
  display_name = "ADK Agent Service Account"
}

# Least privilege for Code Execution
resource "google_project_iam_member" "code_exec_permissions" {
  for_each = toset([
    "roles/compute.viewer",
    "roles/container.viewer",
    "roles/run.viewer"
  ])

  project = var.project_id
  role    = each.key
  member  = "serviceAccount:${google_service_account.adk_agent.email}"
}

Tool Permissions

Read, Write, Edit, Grep, Glob, Bash - Enterprise infrastructure provisioning

References

GitHub Repository

jeremylongshore/claude-code-plugins-plus
Path: backups/skills-batch-20251204-000554/plugins/devops/jeremy-adk-terraform/skills/adk-infra-expert
aiautomationclaude-codedevopsmarketplacemcp

Related Skills

evaluating-llms-harness

Testing

This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.

View skill

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill

langchain

Meta

LangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.

View skill

cloudflare-turnstile

Meta

This skill provides comprehensive guidance for implementing Cloudflare Turnstile as a CAPTCHA-alternative bot protection system. It covers integration for forms, login pages, API endpoints, and frameworks like React/Next.js/Hono, while handling invisible challenges that maintain user experience. Use it when migrating from reCAPTCHA, debugging error codes, or implementing token validation and E2E tests.

View skill