Skip to content
TrustedSkillsbeta
Back to all skills

Vertex Ai Deployer

Listed
jeremylongshore·vlatest·ai-ml·MIT

Automates Vertex AI model deployment, including versioning, endpoint creation, and traffic splitting for streamlined ML workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-deployer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to deploy models directly to Vertex AI. It handles the complexities of creating endpoints, managing configurations, and ensuring proper resource allocation for your machine learning models. The skill streamlines the deployment process, enabling rapid iteration and scaling of AI applications.

When to use it

  • Deploy a newly trained image classification model for real-time predictions in an application.
  • Automate the creation of a prediction endpoint for a natural language processing model used for sentiment analysis.
  • Scale up resources allocated to a deployed model based on increased user demand.
  • Quickly deploy and test different versions of a machine learning model for A/B testing purposes.

Key capabilities

  • Deploy models to Vertex AI endpoints.
  • Manage endpoint configurations.
  • Automate resource allocation.

Example prompts

  • "Deploy my 'image-classifier' model to Vertex AI."
  • "Create a prediction endpoint for the 'sentiment-analyzer' model with 2 GPUs."
  • “Scale up the resources allocated to the ‘my-model’ endpoint.”

Tips & gotchas

  • Requires appropriate permissions and access to your Google Cloud project.
  • The skill assumes familiarity with Vertex AI concepts like models, endpoints, and resource allocation.