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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
$ 설치
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
SKILL.md
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 jeremy@intentsolutions.io 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
- Clarify requirements and choose an ADK architecture (single vs multi-agent; orchestration pattern).
- Define tool interfaces (inputs, outputs, and error contracts) and how secrets are managed.
- Provide an implementation plan with a minimal scaffold and incremental milestones.
- 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
- Full detailed guide (kept for reference):
{baseDir}/references/SKILL.full.md - ADK / Agent Engine docs: https://cloud.google.com/vertex-ai/docs/agent-engine
- Canonical repo standards:
000-docs/6767-a-SPEC-DR-STND-claude-code-plugins-standard.md
Repository

jeremylongshore
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jeremylongshore/claude-code-plugins-plus-skills/plugins/productivity/004-jeremy-google-cloud-agent-sdk/skills/google-cloud-agent-sdk-master
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