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@intentsolutionsio/jeremy-gcp-starter-examples

v2.1.0

Published

Google Cloud starter kits and example code aggregator with ADK samples

Readme

Jeremy GCP Starter Examples

Comprehensive Google Cloud starter kit examples aggregator. Expert in ADK samples, Genkit templates, Agent Starter Pack, Vertex AI examples, and production-ready code from official Google Cloud repositories.

Overview

This plugin provides instant access to production-ready code examples from 6 official Google Cloud repositories, helping developers quickly implement AI agents, workflows, and applications on Google Cloud Platform.

Installation

/plugin install jeremy-gcp-starter-examples@claude-code-plugins-plus

Features

ADK Sample Code: Agent creation, Code Execution Sandbox, Memory Bank ✅ Agent Starter Pack: Production templates with monitoring and security ✅ Genkit Flows: RAG, multi-step workflows, tool calling patterns ✅ Vertex AI Samples: Model training, batch prediction, deployment ✅ Gemini Examples: Multimodal analysis, function calling, structured output ✅ AgentSmithy Patterns: Multi-agent orchestration and coordination

Components

Agent

  • gcp-starter-kit-expert: Aggregates code examples from official Google Cloud repos

Skills (Auto-Activating)

  • gcp-examples-expert: Triggers on "show adk example", "genkit starter template", "vertex ai code sample"
    • Tool Permissions: Read, Write, Edit, Grep, Glob, Bash
    • Version: 1.0.0 (2026 schema compliant)

Quick Start

Natural Language Activation

Simply mention what you need:

"Show me ADK sample code for creating an agent"
"I need a Genkit starter template for RAG"
"How do I implement Gemini function calling?"
"Show me Agent Starter Pack production template"
"Vertex AI code example for model training"
"Multi-agent orchestration pattern with AgentSmithy"

The skill auto-activates and provides production-ready code examples.

Code Example Categories

1. ADK (Agent Development Kit) Samples

Source: google/adk-samples

  • Basic agent creation with Code Execution Sandbox (14-day state persistence)
  • Memory Bank configuration for persistent conversation memory
  • A2A protocol implementation for inter-agent communication
  • Multi-tool agent configuration
  • VPC Service Controls integration
  • IAM least privilege patterns

Example Request:

"Show me how to create an ADK agent with Code Execution and Memory Bank"

2. Agent Starter Pack Templates

Source: GoogleCloudPlatform/agent-starter-pack

  • Production agent with comprehensive monitoring
  • Auto-scaling configuration (min/max instances)
  • Security best practices (Model Armor, VPC-SC, IAM)
  • Cloud Monitoring dashboards
  • Alerting policies for errors and latency
  • Error tracking and distributed tracing

Example Request:

"Give me the Agent Starter Pack production template"

3. Firebase Genkit Flows

Source: genkit-ai/genkit

  • RAG flows with vector search and embeddings
  • Multi-step workflows with tool calling
  • Prompt templates and evaluation frameworks
  • Deployment patterns (Cloud Run, Cloud Functions)
  • Node.js, Python, and Go examples

Example Request:

"I need a Genkit RAG flow template with vector search"

4. Vertex AI Training & Deployment

Source: GoogleCloudPlatform/vertex-ai-samples

  • Custom model fine-tuning with Gemini
  • Batch prediction jobs for bulk inference
  • Hyperparameter tuning with Vertex AI
  • Model evaluation and monitoring
  • Endpoint deployment with auto-scaling
  • A/B testing and traffic splitting

Example Request:

"Show me how to fine-tune Gemini on custom data"

5. Gemini API Integration

Source: GoogleCloudPlatform/generative-ai

  • Multimodal analysis (text, images, video)
  • Function calling with live API integration
  • Structured output generation with schemas
  • Grounding with Google Search
  • Safety filters and content moderation
  • Token counting and cost optimization

Example Request:

"How do I analyze video content with Gemini multimodal?"

6. Multi-Agent Orchestration

Source: GoogleCloudPlatform/agentsmithy

  • Multi-agent system coordination
  • Supervisory agent patterns
  • Agent-to-agent communication (A2A protocol)
  • Workflow strategies (sequential, parallel, conditional)
  • Task delegation and error handling
  • Retry logic with exponential backoff

Example Request:

"I want to build a multi-agent system with AgentSmithy"

Use Cases

Quick Prototyping

Get production-ready code to start building immediately without searching through documentation.

Learning Best Practices

See how Google Cloud engineers implement security, monitoring, and scalability in official examples.

Production Templates

Use battle-tested patterns from Agent Starter Pack for production deployments.

Framework Comparison

Compare ADK, Genkit, and Vertex AI implementations to choose the right framework.

Infrastructure as Code

Get Terraform templates for deploying agents and infrastructure.

Integration with Other Plugins

jeremy-genkit-pro

  • Provides Genkit code examples
  • Complements Genkit flow architect agent
  • Shares production best practices

jeremy-adk-orchestrator

  • Provides ADK sample code
  • Shows A2A protocol implementation
  • Demonstrates multi-agent patterns

jeremy-vertex-validator

  • Provides code that passes production validation
  • Follows security and performance best practices
  • Includes monitoring from the start

jeremy-*-terraform plugins

  • Provides infrastructure code examples
  • Shows Terraform module patterns
  • Demonstrates resource configuration

Example Workflows

Workflow 1: Build ADK Agent

User: "Show me ADK code for an agent with Code Execution"

Plugin provides:
1. Agent creation code from google/adk-samples
2. Code Execution Sandbox configuration (14-day TTL)
3. Security best practices (IAM, VPC-SC)
4. Monitoring setup
5. Deployment commands

Workflow 2: Implement Genkit RAG

User: "I need a Genkit RAG flow template"

Plugin provides:
1. RAG flow code from genkit-ai/genkit
2. Vector search integration
3. Embedding generation
4. Context retrieval logic
5. Deployment to Cloud Run

Workflow 3: Production Agent Deployment

User: "How do I deploy a production agent?"

Plugin provides:
1. Agent Starter Pack template
2. Auto-scaling configuration
3. Monitoring dashboard code
4. Alerting policy setup
5. Terraform deployment code

Best Practices Included

Security

  • IAM least privilege service accounts
  • VPC Service Controls for enterprise isolation
  • Model Armor for prompt injection protection
  • Encrypted data at rest and in transit
  • No hardcoded credentials (Secret Manager)

Performance

  • Auto-scaling (min/max instances)
  • Appropriate machine types and accelerators
  • Caching strategies
  • Batch processing
  • Token optimization

Observability

  • Cloud Monitoring dashboards
  • Alerting policies
  • Structured logging
  • Distributed tracing
  • Error tracking

Reliability

  • Multi-region deployment
  • Circuit breaker patterns
  • Retry logic with exponential backoff
  • Health check endpoints
  • Graceful degradation

Cost Optimization

  • Gemini 2.5 Flash for simple tasks
  • Gemini 2.5 Pro for complex reasoning
  • Batch predictions for bulk processing
  • Preemptible instances
  • Token counting

Official Repositories Referenced

This plugin aggregates code from these official Google Cloud repositories:

  1. google/adk-samples - ADK agent examples and patterns
  2. GoogleCloudPlatform/agent-starter-pack - Production agent templates
  3. genkit-ai/genkit - Genkit flows and integrations
  4. GoogleCloudPlatform/vertex-ai-samples - Vertex AI notebooks and code
  5. GoogleCloudPlatform/generative-ai - Gemini API examples
  6. GoogleCloudPlatform/agentsmithy - Multi-agent orchestration

Requirements

  • Google Cloud Project with Vertex AI enabled
  • Appropriate IAM permissions for agent creation
  • gcloud CLI configured (for deployment)
  • Node.js 20+ (for Genkit examples)
  • Python 3.10+ (for ADK/Vertex AI examples)

License

MIT

Support

  • Issues: https://github.com/jeremylongshore/claude-code-plugins/issues
  • Discussions: https://github.com/jeremylongshore/claude-code-plugins/discussions

Version

2.1.0 (2026) - Accuracy audit: fixed imports, updated repo references, expanded error docs