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agent-platform-deploy

Automate model deployment, endpoint management, and cleanup on Google's Agent Platform.

Updated Jul 4, 2026
Search Tags:#model deployment#custom weights#model cleanup#Google Agent Platform#AI endpoint management
One-click install
npx skills add https://github.com/ssmleo/govfolio --skill agent-platform-deploy-ssmleo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-platform-deploy
Source: https://github.com/ssmleo/govfolio/tree/main/.agents/skills/agent-platform-deploy
Command: npx skills add https://github.com/ssmleo/govfolio --skill agent-platform-deploy-ssmleo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gcloud, google-cloud-ai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the deployment and management of AI models on the Agent Platform, including deploying open models or custom weights, checking deployment status, verifying serving endpoints, and cleaning up resources.

Core Features & Use Cases

  • Model Deployment: Deploy models from Model Garden to endpoints or custom weights, including handling asynchronous deployments and checking status.
  • Endpoint Management: Create, list, and manage endpoints, with support for public shared endpoints and dedicated endpoints.
  • Cleanup: Undeploy models and delete endpoints to free up resources.
  • Use Case: Deploy a Gemma model to serve as a lightweight AI model in your application without incurring high costs or waiting for lengthy inference times.

Quick Start

Use the agent-platform-deploy skill to deploy a model to an endpoint.

Frequently Asked Questions about agent-platform-deploy

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

FAQPage Schema
How do I deploy models with custom weights on the Google Agent Platform?▼

To deploy models with custom weights on the Google Agent Platform, you can automate the process using scripts that interact with the platform's API to handle asynchronous deployments and verify serving endpoints.

Can I manage and list AI endpoints using gcloud CLI?▼

Yes, you can manage and list AI endpoints using gcloud CLI scripts to automate endpoint creation, listing, and management tasks for both public shared and dedicated endpoints.

What is the best way to clean up undeployed models and endpoints on Google's Agent Platform?▼

The best way to clean up resources on Google's Agent Platform is by automating model undeployment and endpoint deletion through API interactions to free up resources efficiently.

Does the Agent Platform support deploying models from Model Garden to dedicated endpoints?▼

Yes, the Agent Platform supports deploying models from Model Garden to dedicated endpoints, allowing you to handle asynchronous deployments and check status for serving AI models.

Do I need google-cloud-ai to automate AI service integration and scaling?▼

Yes, you need the google-cloud-ai dependency along with gcloud CLI to automate model deployment, manage endpoints, and facilitate AI service integration and scaling on the Agent Platform.

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