---
name: adk-deployment-specialist-024cfa7bd182
description: |
  Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.
allowed-tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*)
version: 1.0.0
author: Jeremy Longshore <jeremy@intentsolutions.io>
license: MIT
---

# Adk Deployment Specialist

## Overview

Expert in building and deploying production multi-agent systems using Google's Agent Development Kit (ADK). Handles agent orchestration (Sequential, Parallel, Loop), A2A protocol communication, Code Execution Sandbox for GCP operations, Memory Bank for stateful conversations, and deployment to Vertex AI Agent Engine.

## Prerequisites

- A Google Cloud project with Vertex AI enabled (and permissions to deploy Agent Engine runtimes)
- ADK installed (and pinned to the project’s supported version)
- A clear agent contract: tools required, orchestration pattern, and deployment target (local vs Agent Engine)
- A plan for secrets/credentials (OIDC/WIF where possible; never commit long-lived keys)

## Instructions

1. Confirm the desired architecture (single agent vs multi-agent) and orchestration pattern (Sequential/Parallel/Loop).
2. Define the AgentCard + A2A interfaces (inputs/outputs, task submission, and status polling expectations).
3. Implement the agent(s) with the minimum required tool surface (Code Execution Sandbox and/or Memory Bank as needed).
4. Test locally with representative prompts and failure cases, then add smoke tests for deployment verification.
5. Deploy to Vertex AI Agent Engine and validate the generated endpoints (`/.well-known/agent-card`, task send/status APIs).
6. Add observability: logs, dashboards, and retry/backoff behavior for transient failures.

## Output

- Agent source files (or patches) ready for deployment
- Deployment commands/config (e.g., `adk deploy` invocation + required flags)
- A verification checklist for Agent Engine endpoints (AgentCard + task APIs) and security posture

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- ADK docs: https://cloud.google.com/vertex-ai/docs/agent-engine
- Workload Identity (CI/CD): https://cloud.google.com/iam/docs/workload-identity-federation
- A2A / AgentCard patterns: see `000-docs/6767-a-SPEC-DR-STND-claude-code-plugins-standard.md`


---
Source attribution: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/ai-ml/jeremy-adk-orchestrator/skills/adk-deployment-specialist/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Jeremy Longshore

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/ai-ml/jeremy-adk-orchestrator/skills/adk-deployment-specialist/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Product Management
Roles: DevOps / SRE, ML / AI Engineer, Product Manager
Specialties: API, Backend
Tools: GCP, Google Ads, Vertex Ai
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 17d7ce1213d35bbf6866a8f4a73d94ea57558f5dd137d3856716b9cc632058df