G

google-agents-cli-onboarding

by @googlev
4.5(120)

このスキルはGoogle Agents CLIツールチェーンを初期化し、AIエージェントの構築、評価、デプロイ、公開の全ライフサイクルをガイドします。自動化コマンドと構造化ワークフローにより、学習曲線を低減し、マルチフェーズのコラボレーション効率を向上させます。

googleagents-clicli-toolai-agent-developmentdeploymentGitHub
インストール方法
npx skills add https://github.com/google/skills --skill google-agents-cli-onboarding
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Before / After 効果比較

1 组
使用前

従来の手動での開発環境構築、依存関係のインストール、ツールチェーンの理解には数日かかり、大量のドキュメントを参照し手動でコンポーネントをダウンロードする必要がありました。

使用後

このスキルはワンコマンドでCLIをインストールし、すべての専門スキルを有効化するため、複雑な設定なしで数分でエージェント開発を開始できます。

SKILL.md

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:

uvx google-agents-cli setup

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

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.

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.

Supporting Links

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統計データ

インストール数6.4K
評価4.5 / 5.0
バージョン
更新日2026年10月23日
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タイムライン

作成2026年7月26日
最終更新2026年10月23日
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