google-agents-cli-onboarding
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.
摘要
- 用途
- 它引导用户完成 Google agents-cli 的初始设置，并为 Gemini Enterprise Agent Platform 上的代理程序开发指向合适的生命周期流程。
- 使用时机
- 在设置或验证 CLI、选择目前开发阶段的工作流程，或开始定义代理程序需求时使用。
- 输出结果
- 它提供设置与验证步骤、各阶段的工作流程指引，以及在编写代码前将需求记录于 .agents-cli-spec.md 的说明。
上游变更（4 条，最新收录 2026-09-21）
becc4b8 Enforce semantic versioning (MAJOR.MINOR.PATCH) for skills. 在技能的 front matter 中将中继数据版本设为 1.0.0。 b303146 Update README.md to group skills by category. 在技能中继数据添加 DevOps 类别，并加入 `Google Agents CLI Onboarding` 标题。 4f2b58c Fix google-agents-cli-onboarding tables 将生命周期章节改名为 The Agent Development Lifecycle，将范例描述中的 ADK 范例改为代理程序范例，并重新排版生命周期与 CLI 指令表格。 94826ed Add google-agents-cli-onboarding skill 添加此入门技能，提供 agents-cli 设置说明、概览、生命周期与指令表格、后续步骤、问题回报信息及支持链接。 npx skills add "lettucebo/Skills#v2.2.0@google-agents-cli-onboarding" --full-depth ⚠ v2.2.0 发布后即可使用
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 setupAlternatively, 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:
| Phase | Specialized Skill | Purpose / When to Load |
|---|---|---|
| 0 — Understand | google-agents-cli-workflow |
Clarify intent. Define the agent spec in .agents-cli-spec.md before coding. |
| 1 — Study | google-agents-cli-workflow |
Leverage samples. Study existing agent samples (e.g., ambient-expense) before scaffolding. |
| 2 — Scaffold | google-agents-cli-scaffold |
Create/Enhance. Initialize the project structure, CI/CD, and infrastructure templates. |
| 3 — Build | google-agents-cli-adk-code |
Implement. Write agent logic, tools, callbacks, and manage state using ADK APIs. |
| 4 — Evaluate | google-agents-cli-eval |
Validate Quality. Run systematic evaluations (LLM-as-judge). |
| 5 — Deploy | google-agents-cli-deploy |
Go Production. Deploy to Agent Runtime (Vertex AI), Cloud Run, or GKE. |
| 6 — Publish | google-agents-cli-publish |
Register. Make your agent available as a tool in Gemini Enterprise. |
| 7 — Observe | google-agents-cli-observability |
Monitor. 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:
| Command | Description |
|---|---|
agents-cli setup |
Install the CLI and configure skills in your coding agent. |
agents-cli scaffold <name> |
Create a new agent project from a template. |
agents-cli eval run |
Run the agent and grade the traces in a single step (generate + grade). |
agents-cli deploy |
Deploy your agent to Google Cloud (Agent Runtime, Cloud Run, GKE). |
agents-cli publish gemini-enterprise |
Register 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:
- Execute Setup: Run the
uvxornpxcommand in the[!TIP]box above to install the CLI and enable the specialized skills in your environment. - Verify Installation: Run
agents-cli infoto confirm the installation and view the active project configuration. - Initiate Phase 0: Ask the user for their core requirements (agent
purpose, external tools, deployment target) and document them in
.agents-cli-spec.mdbefore writing any code.
Reporting Issues
Report bugs or improvements at Google Agents CLI Issues.