adk-deployment-specialist
Manage agent discovery, task submission, and deployment for Vertex AI ADK systems.
Install
mkdir -p .claude/skills/adk-deployment-specialist && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/7288" && unzip -o skill.zip -d .claude/skills/adk-deployment-specialist && rm skill.zipInstalls to .claude/skills/adk-deployment-specialist
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Deploy and orchestrate Vertex AI ADK agents using A2A protocol. ManagesKey capabilities
- →Orchestrate multi-agent systems via A2A protocol
- →Perform AgentCard discovery
- →Manage task submission and status polling
- →Configure Code Execution Sandbox
- →Deploy agents to Vertex AI Agent Engine
How it works
It implements the A2A protocol to manage communication between agents and deploys the resulting configuration to the Vertex AI Agent Engine.
Inputs & outputs
When to use adk-deployment-specialist
- →Deploy ADK agents to Vertex AI
- →Set up sequential or parallel agent orchestration
- →Configure Memory Bank for stateful agent conversations
- →Manage agent task submission via A2A protocol
About this skill
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
- Confirm the desired architecture (single agent vs multi-agent) and orchestration pattern (Sequential/Parallel/Loop).
- Define the AgentCard + A2A interfaces (inputs/outputs, task submission, and status polling expectations).
- Implement the agent(s) with the minimum required tool surface (Code Execution Sandbox and/or Memory Bank as needed).
- Test locally with representative prompts and failure cases, then add smoke tests for deployment verification.
- Deploy to Vertex AI Agent Engine and validate the generated endpoints (
/.well-known/agent-card, task send/status APIs). - 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
- ADK docs:
- 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
When not to use it
- →When deploying simple scripts without agent orchestration
- →When the project lacks Vertex AI Agent Engine access
Prerequisites
Limitations
- →Requires a clear agent contract for inputs and outputs
- →Deployment requires specific permissions for Agent Engine runtimes
How it compares
It provides a structured deployment path for multi-agent systems compared to manual configuration of individual agent components.
Compared to similar skills
adk-deployment-specialist side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| adk-deployment-specialist (this skill) | 1 | 27d | Review | Advanced |
| gcp-cloud-run | 5 | 5mo | Review | Intermediate |
| flow-nexus-platform | 6 | 4mo | Review | Beginner |
| smithery-mcp-deployment | 8 | 8mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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