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google-cloud-agent-sdk-master

Execute automatic activation for all google cloud agent development kit (adk) Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

allowed_tools: Read, WebFetch, WebSearch, Grep

$ インストール

git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills /tmp/claude-code-plugins-plus-skills && cp -r /tmp/claude-code-plugins-plus-skills/plugins/productivity/004-jeremy-google-cloud-agent-sdk/skills/google-cloud-agent-sdk-master ~/.claude/skills/claude-code-plugins-plus-skills

// tip: Run this command in your terminal to install the skill


name: google-cloud-agent-sdk-master description: | Execute automatic activation for all google cloud agent development kit (adk) Use when appropriate context detected. Trigger with relevant phrases based on skill purpose. allowed-tools: Read, WebFetch, WebSearch, Grep version: 1.0.0 author: Jeremy Longshore [email protected] license: MIT

Google Cloud Agent SDK Master

Master Google’s Agent Development Kit (ADK) patterns for building and deploying production-grade agents with clear tool contracts, validation, and operational guardrails.

Overview

Use this skill to quickly answer “how do I do X with Google ADK?” and to produce a safe, production-oriented plan (structure, patterns, deployment, verification) rather than ad-hoc snippets.

Examples

Example: Pick the right ADK pattern

  • Request: “Should this be a single agent or a multi-agent orchestrator?”
  • Output: an architecture recommendation with tradeoffs, plus a minimal scaffold plan.

Prerequisites

  • The target environment (local-only vs Vertex AI Agent Engine)
  • The agent’s core job, expected inputs/outputs, and required tools
  • Any constraints (latency, cost, compliance/security)

Instructions

  1. Clarify requirements and choose an ADK architecture (single vs multi-agent; orchestration pattern).
  2. Define tool interfaces (inputs, outputs, and error contracts) and how secrets are managed.
  3. Provide an implementation plan with a minimal scaffold and incremental milestones.
  4. Add validation: smoke prompts, regression tests, and deployment verification steps.

Output

  • A recommended ADK architecture and scaffold layout
  • A checklist of commands to validate locally and in CI
  • Optional: deployment steps and post-deploy health checks

Error Handling

  • If documentation conflicts, prefer the latest canonical standards in 000-docs/6767-*.
  • If an API feature is unavailable in a region/version, propose a compatible alternative.

Resources

Repository

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