Agent skill · software engineering · jeremylongshore
adk-engineer
Execute software engineer specializing in creating production-ready
Why this skill is useful
Adds deployment automation scripts and a structured approach for building ADK agents that the AI wouldn't generate on its own.
What it needs
Requires adk installed locally. Requires google-cloud account access. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
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 patches) with tests A validation checklist (commands to run, expected outputs, and failure triage) Optional: deployment instructions and post-deploy health checks Error Handling Build/test failures: isolate the failing module, minimize the repro, fix, and add a regression test. Tool/runtime errors: enforce structured error responses and safe retries where appropriate. Deployment failures: provide the exact failing command, logs to inspect, and least-privilege IAM fixes. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/adk-engineer