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vertex-agent-admin-skill

Create, inspect, list, and delete custom agents on the Gemini Enterprise Agent Platform.

356|66|Updated Oct 13, 2025
Search Tags:#workflow automation#custom agents#agent management#vertex ai#gemini enterprise#cloud tools
One-click install
npx skills add https://github.com/zeenie-ai/OpenCompany --skill vertex-agent-admin-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vertex-agent-admin-skill
Source: https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/vertex_agent/vertex-agent-admin-skill
Command: npx skills add https://github.com/zeenie-ai/OpenCompany --skill vertex-agent-admin-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the friction of managing custom AI agents on the Gemini Enterprise Agent Platform, letting you create and maintain agents without manual API handling.

Core Features & Use Cases

  • Agent Lifecycle Management: Create, list, inspect, and delete managed agents in one place.
  • Custom Tool Configuration: Define the agent’s base model, system instruction, and allowed cloud tools for each use case.
  • Operational Use Case: Use it when you need a specialized research, support, or automation agent that can run with the Vertex Agent node.

Quick Start

Ask the assistant to create a custom managed agent for your workflow with a clear name, system instruction, base agent, and selected built-in tools.

Frequently Asked Questions about vertex-agent-admin-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create custom agents on the Gemini Enterprise Agent Platform?▼

To create custom agents on the Gemini Enterprise platform, you specify a clear agent name, custom system instructions, a base agent, and selected built-in cloud tools. This removes manual API handling friction and lets you build specialized managed agents directly.

Can I configure cloud tools for Gemini enterprise agents?▼

Yes, you can configure cloud tools for Gemini enterprise agents by selecting supported options like code execution, filesystem access, Google search, and URL context during the agent creation process to fit your workflow automation needs.

What is the best way to manage agent lifecycles in Vertex AI?▼

The best way to manage agent lifecycles in Vertex AI is using a centralized management interface to create, list, inspect, and delete managed agents in one place, ensuring specialized agents are maintained without manual API calls.

Do I need valid agent identifiers to inspect or delete Vertex AI agents?▼

Yes, you need valid agent identifiers to inspect or delete Vertex AI agents. The management process requires these specific identifiers to accurately locate and perform operations on targeted managed agents within the platform.

When do I need specialized managed agents with custom system instructions?▼

You need specialized managed agents with custom system instructions when automating team workflows that require dedicated research, support, or automation agents running with the Vertex Agent node and specific built-in cloud tools.

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