google-cloud-agent-sdk-master

# 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): `{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`