google-agents-cli-onboarding
>-
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
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:
| 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.md before writing any code.
Reporting Issues
Report bugs or improvements at Google Agents CLI Issues.
Supporting Links
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