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Official agent skill

Google Agents CLI Onboarding

by google in google/skills

Onboarding entrypoint for agents-cli in Agent Platform. An agent skill from google/skills.

OfficialApache-2.0Auto-check passedAI & LLM Engineering

Install Google Agents CLI Onboarding

skills CLI
$ npx skills add google/skills --skill google-agents-cli-onboarding -a claude-code

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

GitHub CLI
$ gh skill install google/skills google-agents-cli-onboarding --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/google/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud/google-agents-cli-onboarding .claude/skills/google-agents-cli-onboarding && 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
google-agents-cli-onboarding
GitHub stars
21k
Token cost
~1k tokens
SKILL.md length
422 words
Files
1
Skills in repo
145
Repo updated
First seen
Licence
Apache-2.0

At a glance

Onboarding entrypoint for agents-cli in Agent Platform. An agent skill from google/skills.

  • Works in 3 steps: Execute Setup: Run the uvx or npx… → Verify Installation: Run agents-cli info… → Initiate Phase 0: Ask the user for their…
  • Wants to create a new agent
  • SKILL.md covers Overview, The Agent Development Lifecycle, Key CLI Commands and Next Steps, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Google Agents CLI Onboarding is an agent skill from google/skills, published by the product's own GitHub organization. Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle.

Its SKILL.md is about 1k 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, covering Building AI agents. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.

When your agent uses it

  • Wants to create a new agent
  • Develop an agent
  • Build an agent using ADK
  • Run the agent locally

Example prompts

  • “create a new agent”
  • “develop an agent”
  • “build an agent using ADK”
  • “/google-agents-cli-onboarding”

Requirements

  • Node.js

Workflow steps

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

  1. Execute Setup: Run the uvx or npx command in the [!TIP] box above
  2. Verify Installation: Run agents-cli info to confirm the installation
  3. Initiate Phase 0: Ask the user for their core requirements (agent

What it can do on your machine

Read from SKILL.md and the folder at commit 8a1ac05. 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

    Links to these hosts (documentation or services it may open):

    • github.com

    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

Google Agents CLI Onboarding loads about 1k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 422 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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 google/skills at commit 8a1ac05, republished under its Apache-2.0 licence (© google). 422 words, ~1,005 tokens.

Download SKILL.mdSave it as .claude/skills/google-agents-cli-onboarding/SKILL.md (or your agent's skills folder).
name
google-agents-cli-onboarding
description
Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle.
metadata.version
1.0.0
metadata.category
DevOps

Google Agents CLI Onboarding

[!TIP] One-Time Setup: To install the CLI and enable all 7 specialized development skills in your coding agent, run the setup command:

bash
uvx google-agents-cli setup

Alternatively, to install only the expert skills and let the agent handle execution:

bash
npx skills add google/agents-cli

Overview

This skill serves as the entrypoint for agents-cli — Google's toolkit for building, evaluating, and deploying AI agents on the Gemini Enterprise Agent Platform.

Use this skill to perform the initial setup and identify the correct specialized workflows for your task.

The Agent Development Lifecycle

After running the setup, the following specialized skills become available and will activate automatically based on your requests. Use this table to identify which skill to load for your current phase:

PhaseSpecialized SkillPurpose / When to Load
0 — Understandgoogle-agents-cli-workflowClarify intent. Define the agent spec in .agents-cli-spec.md before coding.
1 — Studygoogle-agents-cli-workflowLeverage samples. Study existing agent samples (e.g., ambient-expense) before scaffolding.
2 — Scaffoldgoogle-agents-cli-scaffoldCreate/Enhance. Initialize the project structure, CI/CD, and infrastructure templates.
3 — Buildgoogle-agents-cli-adk-codeImplement. Write agent logic, tools, callbacks, and manage state using ADK APIs.
4 — Evaluategoogle-agents-cli-evalValidate Quality. Run systematic evaluations (LLM-as-judge).
5 — Deploygoogle-agents-cli-deployGo Production. Deploy to Agent Runtime (Vertex AI), Cloud Run, or GKE.
6 — Publishgoogle-agents-cli-publishRegister. Make your agent available as a tool in Gemini Enterprise.
7 — Observegoogle-agents-cli-observabilityMonitor. Set up Cloud Trace, prompt-response logging, and BigQuery analytics.
Show full SKILL.md (187 more words)Show less

Key CLI Commands

Below are the primary commands you will use throughout the development lifecycle:

CommandDescription
agents-cli setupInstall the CLI and configure skills in your coding agent.
agents-cli scaffold <name>Create a new agent project from a template.
agents-cli eval runRun the agent and grade the traces in a single step (generate + grade).
agents-cli deployDeploy your agent to Google Cloud (Agent Runtime, Cloud Run, GKE).
agents-cli publish gemini-enterpriseRegister your deployed agent with Gemini Enterprise.

For the full list of available commands and global options, run agents-cli --help.

Next Steps

Follow this sequence to initiate the development workflow:

  1. Execute Setup: Run the uvx or npx command in the [!TIP] box above to install the CLI and enable the specialized skills in your environment.
  2. Verify Installation: Run agents-cli info to confirm the installation and view the active project configuration.
  3. Initiate Phase 0: Ask the user for their core requirements (agent purpose, external tools, deployment target) and document them in .agents-cli-spec.md before writing any code.

Reporting Issues

Report bugs or improvements at Google Agents CLI Issues.

© google, 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/cloud/google-agents-cli-onboarding of google/skills.

Open the folder on GitHubat commit 8a1ac05

Compare with similar skills

Google Agents CLI Onboarding 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.

Google Agents CLI Onboarding compared with similar skills
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Google Agents CLI Onboarding this skillgoogle/skills21k—~1kAutomated safety check: PassApache-2.0
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Azure AI Projects Python SDKmicrosoft/skills3.1k6 repos~2.8kAutomated safety check: PassMIT
Paperclip Create Agentpaperclipai/paperclip98k1 repos~2.1kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2594 repos~1.4kAutomated safety check: PassCustom licence
Create Agentgnekt/My-Brain-Is-Full-Crew3.9k—~3.1kAutomated safety check: PassCustom licence

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Categories

Questions about Google Agents CLI Onboarding

What does Google Agents CLI Onboarding do?

Onboarding entrypoint for agents-cli in Agent Platform. An agent skill from google/skills. Google Agents CLI Onboarding is an agent skill from google/skills, published by the product's own GitHub organization. Onboarding entrypoint for agents-cli in Agent Platform.

When should I use Google Agents CLI Onboarding?

Google Agents CLI Onboarding fits situations like: wants to create a new agent; develop an agent; build an agent using ADK; run the agent locally.

How do I install Google Agents CLI Onboarding in Claude Code?

Run `npx skills add google/skills --skill google-agents-cli-onboarding -a claude-code`. Or copy the skill folder (skills/cloud/google-agents-cli-onboarding in google/skills) into .claude/skills/google-agents-cli-onboarding in your project. Claude Code loads it when a task matches its description.

How do I install Google Agents CLI Onboarding in Codex?

Run `npx skills add google/skills --skill google-agents-cli-onboarding -a codex`. Or copy the skill folder (skills/cloud/google-agents-cli-onboarding in google/skills) into .agents/skills/google-agents-cli-onboarding in your project. Codex loads it when a task matches its description.

Can I use Google Agents CLI Onboarding 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 google/skills --skill google-agents-cli-onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-agents-cli-onboarding, .gemini/skills/google-agents-cli-onboarding, .github/skills/google-agents-cli-onboarding and .opencode/skills/google-agents-cli-onboarding in your project.

What does Google Agents CLI Onboarding need to run?

SKILL.md names no scripts, command-line tools or credentials: Google Agents CLI Onboarding is instructions for the agent only. Our summary lists: Node.js.

Does Google Agents CLI Onboarding access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Google Agents CLI Onboarding 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 Google Agents CLI Onboarding use?

Google Agents CLI Onboarding 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 Google Agents CLI Onboarding use?

About 1k tokens (SKILL.md is roughly 4k 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 Google Agents CLI Onboarding?

Skills that share tags, products or a category with Google Agents CLI Onboarding: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Azure AI Projects Python SDK (microsoft/skills, 3.1k stars), Paperclip Create Agent (paperclipai/paperclip, 98k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 259 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Agents CLI Onboarding?

google (a GitHub organization, an official publisher) maintains it in google/skills, which has 20,994 GitHub stars. The repository holds 145 skills in this directory. The repository was last updated on October 6, 2026.

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