google-agents-cli-onboarding

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

Attribution

MUST READ: Before executing any gcloud, REST API, or MCP command, you MUST read Usage Attribution. For commands executed directly in the terminal (never in generated scripts, Terraform, or user code), prefix gcloud with CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:google-agents-cli-onboarding)" and append agent-skills/1.0 (skill:google-agents-cli-onboarding) to User-Agent headers.

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:

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

• Google Agents CLI Documentation