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Plugin

Jeremy Gcp Starter Examples

Google Cloud starter kits and example code aggregator with ADK samples

Type
Plugin
GitHub stars
2.8k
License
MIT
Repo last updated
Sep 27, 2026
Version
2.25.0
Author
Jeremy Longshore

What Jeremy Gcp Starter Examples is

Jeremy Gcp Starter Examples is a plugin published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A plugin is a package that bundles skills, slash commands, subagents, hooks, and MCP connectors so they install together. Plugins are plain files with a manifest at .claude-plugin/plugin.json, and they work in both Claude Code and Claude Cowork.

Installing Jeremy Gcp Starter Examples adds everything it ships in one step. Connectors inside a plugin still need to be connected separately, and hooks and subagents only run in Cowork and Claude Code, not in regular chat.

How to install Jeremy Gcp Starter Examples

Claude Code

  1. Add the repository as a plugin marketplace: claude plugin marketplace add jeremylongshore/tons-of-skills-marketplace
  2. Install the plugin: claude plugin install jeremy-gcp-starter-examples@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json.
  3. Restart the session if the new skills or commands don't appear straight away.

Claude Cowork

  1. Open Customize → Plugins and choose Add marketplace.
  2. Enter jeremylongshore/tons-of-skills-marketplace (the owner/repo shorthand works for GitHub).
  3. Find Jeremy Gcp Starter Examples in the list, click Install, then connect any connectors it needs from its Connectors tab.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/ai-ml/jeremy-gcp-starter-examples/.claude-plugin/plugin.json, shared under the repository's MIT license. Read the full file on GitHub.

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.

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Jeremy Gcp Starter Examples?

Jeremy Gcp Starter Examples is a plugin for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Google Cloud starter kits and example code aggregator with ADK samples

How do I install Jeremy Gcp Starter Examples in Claude Code?

Add the repository as a plugin marketplace: claude plugin marketplace add jeremylongshore/tons-of-skills-marketplace Install the plugin: claude plugin install jeremy-gcp-starter-examples@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json. Restart the session if the new skills or commands don't appear straight away.

Can I use Jeremy Gcp Starter Examples in Claude Cowork?

Open Customize → Plugins and choose Add marketplace. Enter jeremylongshore/tons-of-skills-marketplace (the owner/repo shorthand works for GitHub). Find Jeremy Gcp Starter Examples in the list, click Install, then connect any connectors it needs from its Connectors tab.

Is Jeremy Gcp Starter Examples safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.