adk-engineer

# ADK Engineer Engineer production-ready Agent Development Kit (ADK) agents and multi-agent systems: clean structure, testability, safe tool usage, and deployment automation. ## Overview Use this skill to design and implement ADK agent code that is maintainable and shippable: clear module boundaries, structured tool interfaces, regression tests, and a deployment checklist (local or Agent Engine). ## Prerequisites - A target runtime (Python/Java/Go) consistent with the project’s pinned versions - ADK installed (and any required model/provider SDKs configured) - A test runner available in the repo (unit tests at minimum) - If deploying: access to a Google Cloud project and permissions for the chosen deployment target ## Instructions 1. Clarify requirements: agent goals, tool surface, latency/cost constraints, and deployment target. 2. Propose architecture: single agent vs multi-agent, orchestration pattern, state strategy (Memory Bank / external store). 3. Scaffold structure: agent entrypoint(s), tool modules, config, and tests. 4. Implement incrementally: - add one tool at a time with input validation and structured outputs - add regression tests for each tool and critical prompt flows 5. Add operational guardrails: retries/backoff, timeouts, logging, and safe error messages. 6. Validate locally (tests + smoke prompts) and provide a deployment plan (when requested). ## Output - A concrete architecture plan and file layout - Agent and tool implementations (or pat...