agent-platform-model-registry

Name: agent-platform-model-registry
Availability: InStock
Author: ssmleo

Manage machine learning models in the Agent Platform Model Registry.

Updated Jul 4, 2026

Search Tags:#machine learning #Google Cloud #model management #model registry #model versioning

Ready to run

npx skills add https://github.com/ssmleo/govfolio --skill agent-platform-model-registry-ssmleo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-platform-model-registry
Source: https://github.com/ssmleo/govfolio/tree/main/.agents/skills/agent-platform-model-registry
Command: npx skills add https://github.com/ssmleo/govfolio --skill agent-platform-model-registry-ssmleo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the process of managing machine learning models in the Agent Platform Model Registry, allowing you to upload, list, describe, update, or delete models efficiently.

Core Features & Use Cases

Model Management: Upload, list, describe, update, and delete machine learning models.
Version Control: Manage different versions of models and track changes.
Use Case: Streamline the model deployment process by using this Skill to update model metadata and manage model lifecycles.

Quick Start

Use the agent-platform-model-registry skill to list all models in the registry.

Frequently Asked Questions about agent-platform-model-registry

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

FAQPage Schema

How do I manage machine learning models in the Agent Platform Model Registry?▼

You can manage machine learning models in the Agent Platform Model Registry by uploading, listing, describing, updating, and deleting them to efficiently streamline your model deployment lifecycle.

What do I need to access the Agent Platform Model Registry for model versioning?▼

To access the Agent Platform Model Registry for model versioning, you need Google Cloud authentication and active access to the Agent Platform to perform management operations.

Can I track changes and manage different versions of ML models on Google Cloud?▼

Yes, you can manage different versions of machine learning models and track changes directly within the Agent Platform to maintain organized model metadata and lifecycle updates.

How do I update model metadata during the machine learning deployment process?▼

You update model metadata during the machine learning deployment process by using the model management functions to modify existing registry entries and track lifecycle changes efficiently.

What is the best way to list all models stored in a machine learning model registry?▼

The best way to list all models in a machine learning model registry is to use the platform's built-in listing feature to retrieve and view all registered model entries.

Does the Agent Platform Model Registry support deleting outdated machine learning models?▼

Yes, the Agent Platform Model Registry supports deleting outdated machine learning models, allowing you to remove obsolete entries and maintain a clean, current model repository.