Vertex Ai

Organization

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.

Overview

Publisher	GoogleCloudPlatform
Repository	`vertex-ai-samples`
Skill name	`vertex-ai`
Stars	791
Forks	316
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by GoogleCloudPlatform on GitHub. Read the source before you install it.

Installation

Install the Vertex Ai AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-ai
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/GoogleCloudPlatform/vertex-ai-samples.git /tmp/vertex-ai-samples
mkdir -p .claude/skills
cp -r /tmp/vertex-ai-samples/skills/vertex-ai .claude/skills/vertex-ai

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vertex Ai in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vertex Ai on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vertex Ai is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Frequently asked questions

What does the Vertex Ai AI skill do?

Why use Vertex Ai on TypingMind?

Because you install it once and use it with any model. Vertex Ai is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vertex Ai in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-ai. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vertex Ai?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vertex Ai?

As many as you like. As long as a model supports skills, you can use Vertex Ai with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vertex Ai AI skill free?

Yes. It is published on GitHub by GoogleCloudPlatform under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Vertex AI Skills (Primary Router)

Overview

Workflow Decision Tree

Frequently asked questions

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