Agent skill · software engineering · jeremylongshore
adk-engineer
Execute software engineer specializing in creating production-ready
Why this skill is useful
Provides specific patterns and practices for building ADK agents, including deployment automation and testing strategies that the AI wouldn't reliably generate on its own.
What it needs
Requires adk installed locally. 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--b7af5c