Adk Deployment Specialist

SkillCloud & infra

Lets your agent deploy and manage Google Vertex AI agents built with the Agent Development Kit.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Adk Deployment Specialist skill

About this capability

'Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages

What this skill tells your AI

The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/adk-deployment-specialist/SKILL.md and read by ahel’s review.

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., vertexai.Client.agent_engines.create() invocation + required parameters)
  • A verification checklist for Agent Engine endpoints (AgentCard + task APIs) and security posture

Error Handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.

Resources

Signals

GitHub stars
3k
Forks
396
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
adk-deployment-specialist
Source
github.com/jeremylongshore/tons-of-skills-marketplace