Vertex AI Gemini
majiayu000/claude-skill-registry
Google Cloud Vertex AI for enterprise Gemini deployments — production scaling, fine-tuning, and MLOps.
Primary Router for Vertex AI skills. An agent skill from GoogleCloudPlatform/vertex-ai-samples.
Install Vertex AI
$ npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GoogleCloudPlatform/vertex-ai-samples vertex-ai --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/vertex-ai-samples.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vertex-ai .claude/skills/vertex-ai && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "vertex-ai" agent skill from https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-ai into .claude/skills/vertex-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-aiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GoogleCloudPlatform/vertex-ai-samples vertex-ai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/vertex-ai-samples.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vertex-ai .agents/skills/vertex-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vertex-ai" agent skill from https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-ai into .agents/skills/vertex-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GoogleCloudPlatform/vertex-ai-samples vertex-ai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/vertex-ai-samples.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vertex-ai .cursor/skills/vertex-ai && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vertex-ai" agent skill from https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-ai into .cursor/skills/vertex-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/GoogleCloudPlatform/vertex-ai-samples.git --path skills/vertex-ai--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GoogleCloudPlatform/vertex-ai-samples vertex-ai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/vertex-ai-samples.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vertex-ai .gemini/skills/vertex-ai && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vertex-ai" agent skill from https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-ai into .gemini/skills/vertex-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install GoogleCloudPlatform/vertex-ai-samples vertex-aiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/vertex-ai-samples.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vertex-ai .github/skills/vertex-ai && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vertex-ai" agent skill from https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-ai into .github/skills/vertex-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GoogleCloudPlatform/vertex-ai-samples vertex-ai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/vertex-ai-samples.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vertex-ai .opencode/skills/vertex-ai && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vertex-ai" agent skill from https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/skills/vertex-ai into .opencode/skills/vertex-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
vertex-ai- GitHub stars
- 791
- Token cost
- ~522 tokens
- SKILL.md length
- 269 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Primary Router for Vertex AI skills. An agent skill from GoogleCloudPlatform/vertex-ai-samples.
- The user wants to work with Google Cloud Vertex AI (e.g.
- SKILL.md covers Overview and Workflow Decision Tree
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Deploying models
What it does
Vertex AI is an agent skill from GoogleCloudPlatform/vertex-ai-samples. 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.
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. It works with Vertex AI, Google Cloud and Google Gemini. The repository describes itself as: Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI. The licence is Apache-2.0.
When your agent uses it
- The user wants to work with Google Cloud Vertex AI (e.g.
- Deploying models
- Running inference
Example prompts
- “/vertex-ai”
What it can do on your machine
Read from SKILL.md and the folder at commit d0aed81. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Vertex AI loads about 522 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 269 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from GoogleCloudPlatform/vertex-ai-samples at commit d0aed81, republished under its Apache-2.0 licence (© GoogleCloudPlatform). 269 words, ~522 tokens.
Download SKILL.mdSave it as
.claude/skills/vertex-ai/SKILL.md (or your agent's skills folder).- name
- vertex-ai
- description
- 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)
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.
© GoogleCloudPlatform, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/vertex-ai of GoogleCloudPlatform/vertex-ai-samples.
Open the folder on GitHubat commit d0aed81
Compare with similar skills
Vertex AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vertex AI this skillGoogleCloudPlatform/vertex-ai-samples | 791 | — | ~522 | Automated safety check: Pass | Apache-2.0 | |
| Vertex AI Geminimajiayu000/claude-skill-registry | 666 | 1 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Gemini APIgoogle/skills | 21k | 3 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Vertex AI API DevJetBrains/skills | 363 | 1 repos | ~2.4k | Automated safety check: Pass | None | |
| Gemini Sttmajiayu000/claude-skill-registry | 666 | 1 repos | ~893 | Automated safety check: Notes | MIT | |
| Kiln Check Finetune DeprecationKiln-AI/Kiln | 5.2k | — | ~1.9k | Automated safety check: Notes | Custom licence |
Similar skills
- Official
Gemini API
google/skills
A skill your agent uses when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform.
- Official
Vertex AI API Dev
JetBrains/skills
Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK.
Gemini Stt
majiayu000/claude-skill-registry
Transcribe audio files using Google's Gemini API or Vertex AI
Kiln Check Finetune Deprecation
Kiln-AI/Kiln
Check Kiln's fine-tunable model list for deprecated or unsupported base models.
- Official
Retail Product Search Agent
google/adk-recipes
Builds a retail product search agent on Google Cloud, from catalog ingestion into BigQuery and Vector Search to ADK scaffolding, evaluation and Cloud Run deployment.
More from GoogleCloudPlatform/vertex-ai-samples
Quality Flywheel
GoogleCloudPlatform/vertex-ai-samples
Evaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK.
Liveapi Service
GoogleCloudPlatform/vertex-ai-samples
Generates a LiveAPI client service class in the user's chosen programming language.
Related
Works with
Questions about Vertex AI
What does Vertex AI do?
Primary Router for Vertex AI skills. An agent skill from GoogleCloudPlatform/vertex-ai-samples. Vertex AI is an agent skill from GoogleCloudPlatform/vertex-ai-samples. Primary Router for Vertex AI skills.
When should I use Vertex AI?
Vertex AI fits situations like: the user wants to work with Google Cloud Vertex AI (e.g; deploying models; running inference.
How do I install Vertex AI in Claude Code?
Run `npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a claude-code`. Or copy the skill folder (skills/vertex-ai in GoogleCloudPlatform/vertex-ai-samples) into .claude/skills/vertex-ai in your project. Claude Code loads it when a task matches its description.
How do I install Vertex AI in Codex?
Run `npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a codex`. Or copy the skill folder (skills/vertex-ai in GoogleCloudPlatform/vertex-ai-samples) into .agents/skills/vertex-ai in your project. Codex loads it when a task matches its description.
Can I use Vertex AI in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vertex-ai, .gemini/skills/vertex-ai, .github/skills/vertex-ai and .opencode/skills/vertex-ai in your project.
What does Vertex AI need to run?
SKILL.md names no scripts, command-line tools or credentials: Vertex AI is instructions for the agent only.
Does Vertex AI access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Vertex AI safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Vertex AI use?
Vertex AI is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Vertex AI use?
About 522 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Vertex AI?
Skills that share tags, products or a category with Vertex AI: Vertex AI Gemini (majiayu000/claude-skill-registry, 666 stars), Gemini API (google/skills, 21k stars), Vertex AI API Dev (JetBrains/skills, 363 stars) and Gemini Stt (majiayu000/claude-skill-registry, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vertex AI?
GoogleCloudPlatform (a GitHub organization) maintains it in GoogleCloudPlatform/vertex-ai-samples, which has 791 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 6, 2026.
Source: GoogleCloudPlatform/vertex-ai-samples on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.