Deploy vertex ai deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedDevOps & Cloud

Install Vertex AI Deployer

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

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-ai-deployer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/08-ml-deployment/vertex-ai-deployer .claude/skills/vertex-ai-deployer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
vertex-ai-deployer
GitHub stars
2.8k
Token cost
~558 tokens
SKILL.md length
196 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Deploy vertex ai deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 4 steps: Provides step-by-step guidance for… → Follows industry best practices and… → Generates production-ready code and… → …
  • : vertex ai deployer
  • SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vertex AI Deployer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy vertex ai deployer operations. Auto-activating skill for ML Deployment. Triggers on: vertex ai deployer, vertex ai deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "vertex ai deployer", "vertex deployer", "deploy vertex ai er".

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in DevOps & Cloud, covering Deployment. It works with Vertex AI. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • : vertex ai deployer
  • Vertex ai deployer Part of the ML Deployment skill category
  • Deploying applications
  • With phrases like vertex ai deployer

Example prompts

  • “vertex ai deployer”
  • “vertex deployer”
  • “deploy vertex ai er”
  • “/vertex-ai-deployer”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(cmd:*), Grep

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Provides step-by-step guidance for vertex ai deployer
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(cmd:*)
    • Grep

    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.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Vertex AI Deployer loads about 558 tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 196 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~558

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 196 words, ~558 tokens.

Download SKILL.mdSave it as .claude/skills/vertex-ai-deployer/SKILL.md (or your agent's skills folder).
name
vertex-ai-deployer
description
Deploy vertex ai deployer operations. Auto-activating skill for ML Deployment. Triggers on: vertex ai deployer, vertex ai deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "vertex ai deployer", "vertex deployer", "deploy vertex ai er".
allowed-tools
Read, Write, Edit, Bash(cmd:*), Grep
compatibility
Designed for Claude Code
version
1.0.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
ai, mlops

Vertex Ai Deployer

Overview

This skill provides automated assistance for vertex ai deployer tasks within the ML Deployment domain.

When to Use

This skill activates automatically when you:

  • Mention "vertex ai deployer" in your request
  • Ask about vertex ai deployer patterns or best practices
  • Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.

Instructions

  1. Provides step-by-step guidance for vertex ai deployer
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with vertex ai deployer" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of ml deployment concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production

© jeremylongshore, MIT. 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/08-ml-deployment/vertex-ai-deployer of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Vertex AI Deployer 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.

Vertex AI Deployer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vertex AI Deployer this skilljeremylongshore/tons-of-skills-marketplace2.8k—~558Automated safety check: PassMIT
Google Agents CLI Scaffoldpifferologo/cloud-agents-cli1291 repos~2.9kAutomated safety check: NotesApache-2.0
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb6.7k—~4kAutomated safety check: NotesApache-2.0
Mirrord Operatormetalbear-co/mirrord5.4k1 repos~4.6kAutomated safety check: PassMIT
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Vertex AI Deployer

What does Vertex AI Deployer do?

Deploy vertex ai deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Vertex AI Deployer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy vertex ai deployer operations.

When should I use Vertex AI Deployer?

Vertex AI Deployer fits situations like: : vertex ai deployer; vertex ai deployer Part of the ML Deployment skill category; deploying applications; with phrases like vertex ai deployer.

How do I install Vertex AI Deployer in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-deployer -a claude-code`. Or copy the skill folder (skills/08-ml-deployment/vertex-ai-deployer in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vertex-ai-deployer in your project. Claude Code loads it when a task matches its description.

How do I install Vertex AI Deployer in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-deployer -a codex`. Or copy the skill folder (skills/08-ml-deployment/vertex-ai-deployer in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vertex-ai-deployer in your project. Codex loads it when a task matches its description.

Can I use Vertex AI Deployer 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 jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-deployer -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-deployer, .gemini/skills/vertex-ai-deployer, .github/skills/vertex-ai-deployer and .opencode/skills/vertex-ai-deployer in your project.

What does Vertex AI Deployer need to run?

SKILL.md names no scripts, command-line tools or credentials: Vertex AI Deployer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Vertex AI Deployer 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 Deployer 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 Deployer use?

Vertex AI Deployer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vertex AI Deployer use?

About 558 tokens (SKILL.md is roughly 2.2k 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 Deployer?

Skills that share tags, products or a category with Vertex AI Deployer: Google Agents CLI Scaffold (pifferologo/cloud-agents-cli, 129 stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars) and Mirrord Operator (metalbear-co/mirrord, 5.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vertex AI Deployer?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.