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

• Full detailed guide (kept for reference): ${CLAUDE_SKILL_DIR}/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