How do I install the Vertex AI skill?

Run npx skillmds@latest add googlecloudplatform-vertex-ai-samples/vertex-ai in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Vertex AI safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Vertex AI?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Vertex AI free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Vertex AI?

GoogleCloudPlatform (@googlecloudplatform-vertex-ai-samples) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Vertex AI by googlecloudplatform-vertex-ai-samples

Name: Vertex AI
Rating: 4.2 (5 reviews)
Author: GoogleCloudPlatform

Vertex AI

Primary Router for Vertex AI skills. Use this skill when the user wants to work with Google Cloud Vertex AI (e.g., deploying models, running inference, or tuning models). This skill routes to vertex-deploy, vertex-inference, or vertex-tuning.

File contents

Vertex AI Skills (Primary Router)

Overview

This skill acts as the primary router for all Vertex AI related tasks. Google Cloud Vertex AI provides capabilities for deploying open models, running inference against Generative AI models (like Gemini and open models), and fine-tuning models.

Your first step is to determine the user's main objective and then read the appropriate sub-skill.

Workflow Decision Tree

Objective Category: What does the user want to do with Vertex AI?
- Use Gemini SDK (Gen AI SDK): If the user explicitly asks about using the Gemini API on Vertex AI with the Gen AI SDK, or asks for features like Live API, multimedia generation, caching, or batch prediction, stop reading this file and IMMEDIATELY read the skill instructions located at ../genai-sdk/SKILL.md.
- Deploy Models: If the user wants to deploy an Open Model from Model Garden or deploy custom weights to create a Vertex AI Endpoint, stop reading this file and IMMEDIATELY read the skill instructions located at ../vertex-deploy/SKILL.md.
- Run Inference (Text Generation, Chat, Embeddings): If the user wants to connect to Vertex AI to generate text, chat, or get embeddings using models like Gemini, Llama, DeepSeek, etc., stop reading this file and IMMEDIATELY read the skill instructions located at ../vertex-inference/SKILL.md.
- Model Tuning / Fine-Tuning: If the user wants to fine-tune an Open Model or a Gemini Model, stop reading this file and IMMEDIATELY read the skill instructions located at ../vertex-tuning/SKILL.md.
- Unknown / Not Listed: If the objective is not clearly one of the above, STOP. Ask the user to clarify whether they are looking to deploy a model, run inference, or tune a model on Vertex AI.

---name: vertex-aidescription: Primary Router for Vertex AI skills. Use this skill when the user wants to work with Google Cloud Vertex AI (e.g., deploying models, running inference, or tuning models). This skill routes to vertex-deploy, vertex-inference, or vertex-tuning.---# Vertex AI Skills (Primary Router)## OverviewThis skill acts as the primary router for all Vertex AI related tasks. Google Cloud Vertex AI provides capabilities for deploying open models, running inference against Generative AI models (like Gemini and open models), and fine-tuning models.Your first step is to determine the user's main objective and then read the appropriate sub-skill.## Workflow Decision Tree1. **Objective Category**: What does the user want to do with Vertex AI? - **Use Gemini SDK (Gen AI SDK)**: If the user explicitly asks about using the Gemini API on Vertex AI with the Gen AI SDK, or asks for features like Live API, multimedia generation, caching, or batch prediction, stop reading this file and IMMEDIATELY read the skill instructions located at `../genai-sdk/SKILL.md`. - **Deploy Models**: If the user wants to deploy an Open Model from Model Garden or deploy custom weights to create a Vertex AI Endpoint, stop reading this file and IMMEDIATELY read the skill instructions located at `../vertex-deploy/SKILL.md`. - **Run Inference (Text Generation, Chat, Embeddings)**: If the user wants to connect to Vertex AI to generate text, chat, or get embeddings using models like Gemini, Llama, DeepSeek, etc., stop reading this file and IMMEDIATELY read the skill instructions located at `../vertex-inference/SKILL.md`. - **Model Tuning / Fine-Tuning**: If the user wants to fine-tune an Open Model or a Gemini Model, stop reading this file and IMMEDIATELY read the skill instructions located at `../vertex-tuning/SKILL.md`. - **Unknown / Not Listed**: If the objective is not clearly one of the above, **STOP**. Ask the user to clarify whether they are looking to deploy a model, run inference, or tune a model on Vertex AI.

Frequently asked questions