vertex-agent-admin-skill

name	vertex-agent-admin-skill
description	Create, list, inspect, and delete custom managed agents on the Gemini Enterprise Agent Platform. Custom agents build on the Antigravity base agent with their own system instruction and built-in cloud tools; run them with the Vertex Agent node.
allowed-tools	vertex_agent_admin
metadata	{"author":"opencompany","version":"1.0","category":"agents"}

Vertex Agent Admin Skill

Lifecycle management for custom managed agents on the Gemini Enterprise Agent Platform (Agents API). A custom agent is the prebuilt Antigravity agent plus your own system instruction and a chosen set of built-in cloud tools.

Node: Vertex Agent Admin

Operations

Operation	Purpose	Key fields
create	Create a custom agent (long-running: ~2-3 min the first time, seconds after)	agent_id, description, system_instruction, base_agent, tools
list	List custom agents in the project	—
get	Inspect one agent's config	agent_id
delete	Delete a custom agent (destructive, irreversible)	agent_id

Fields

• agent_id — 1-63 chars, lowercase letters / numbers / hyphens, must start with a letter. Example: research-assistant-v1.
• tools — built-in cloud tools the agent may use: code_execution, filesystem, google_search, url_context.
• project_id — GCP project (auth via gcloud Application Default Credentials). Leave empty to use a stored AIza Gemini API key.

Response

create / get return the agent config under agent; list returns agents + count; delete returns deleted: true.

Using a custom agent

After create, put the agent_id into a Vertex Agent node's agent parameter — the interaction node runs it with the same memory continuity and tool bridging as the prebuilt agent. Deleting an agent does not delete past interactions or sandboxes (those expire on their own 7-day TTL).