The CLI and skills for building agents on Gemini Enterprise Agent Platform.
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Turn your favorite coding assistant into an expert at building and deploying agents on Google Cloud.
Agents CLI in Agent Platform (agents-cli) gives your coding agent the skills and commands to build, scale, govern, and optimize enterprise-grade agents — so you don't have to learn every CLI and service yourself.
Works seamlessly with: Gemini CLI • Claude Code • Codex • Antigravity • and any other coding agent.
Prerequisites: Python 3.11+, uv, and Node.js.
uvx google-agents-cli setupOr just the skills — your coding agent will handle the rest
npx skills add google/agents-cliLaunch Gemini CLI, Claude Code, Codex, or any coding agent you prefer.
Ask your coding agent to build something — e.g. "Use agents-cli to build a caveman-style agent that compresses verbose text into terse, technical grunts"
See the full tutorial for a step-by-step walkthrough.
Browse the full documentation →
| Skill | What your coding agent learns |
|---|---|
google-agents-cli-workflow |
Development lifecycle, code preservation rules, model selection |
google-agents-cli-adk-code |
ADK Python API — agents, tools, orchestration, callbacks, state |
google-agents-cli-scaffold |
Project scaffolding — create, enhance, upgrade |
google-agents-cli-eval |
Evaluation methodology — metrics, evalsets, LLM-as-judge, trajectory scoring |
google-agents-cli-deploy |
Deployment — Agent Runtime, Cloud Run, GKE, CI/CD, secrets |
google-agents-cli-publish |
Gemini Enterprise registration |
google-agents-cli-observability |
Observability — Cloud Trace, logging, third-party integrations |
| Command | What it does |
|---|---|
agents-cli setup |
Install CLI + skills to coding agents |
agents-cli scaffold <name> |
Create a new agent project |
agents-cli eval run |
Run agent evaluations |
agents-cli deploy |
Deploy to Google Cloud |
agents-cli publish gemini-enterprise |
Register with Gemini Enterprise |
See all commands
| Command | Description |
|---|---|
agents-cli login |
Authenticate with Google Cloud or AI Studio |
agents-cli login --status |
Show authentication status |
| Scaffold | |
agents-cli scaffold <name> |
Create a new agent project |
agents-cli scaffold enhance |
Add deployment, CI/CD, or RAG to an existing project |
agents-cli scaffold upgrade |
Upgrade project to a newer agents-cli version |
| Develop | |
agents-cli run "prompt" |
Run agent with a single prompt |
agents-cli install |
Install project dependencies |
agents-cli lint |
Run code quality checks (Ruff) |
| Evaluate | |
agents-cli eval run |
Run agent evaluations |
agents-cli eval compare |
Compare two eval result files |
| Deploy & Publish | |
agents-cli deploy |
Deploy to Google Cloud |
agents-cli publish gemini-enterprise |
Register with Gemini Enterprise |
agents-cli infra single-project |
Provision single-project infrastructure |
agents-cli infra cicd |
Set up CI/CD pipeline + staging/prod infrastructure |
| Data | |
agents-cli infra datastore |
Provision datastore infrastructure for RAG |
agents-cli data-ingestion |
Run data ingestion pipeline |
| Other | |
agents-cli info |
Show project config and CLI version |
agents-cli update |
Force reinstall skills to all IDEs |
The Google Cloud agent stack that agents-cli builds on:
Is this an alternative to Gemini CLI, Claude Code, or Codex?
No. agents-cli is a tool for coding agents, not a coding agent itself. It provides the CLI commands and skills that make your coding agent better at building, evaluating, and deploying ADK agents on Google Cloud.
How is this different from just using adk directly?
ADK is an agent framework. agents-cli gives your coding agent the skills and tools to build, evaluate, and deploy ADK agents end-to-end.
Do I need Google Cloud?
For local development (create, run, eval), no — you can use an AI Studio API key to run Gemini with ADK locally. For deployment and cloud features, yes.
Can I use this with an existing agent project?
Yes. agents-cli scaffold enhance adds deployment and CI/CD to existing projects.
Can I use agents-cli without a coding agent?
Yes. The CLI works standalone — you can run agents-cli scaffold, eval, deploy, and every other command directly from your terminal. The skills just make it easier for coding agents to do it for you.
We value your input — it helps us improve agents-cli for the community.
- Bugs & feature requests: open an issue — 👍 the ones you want prioritized
- Share what you built: we'd love to hear about your projects! Reach out at [email protected] to share your agent or provide feedback
The best way to contribute is through feedback: bug reports, feature requests, and ideas shared via issues to directly shape our roadmap. The CLI is distributed as a pre-built wheel rather than as source in the repository, which lets us iterate quickly while keeping the public interface stable. The code is not obfuscated — you can inspect any release by extracting the .whl file (a standard zip archive).
See the contributing guide for details.
agents-cli leverages Google Cloud APIs. When you deploy agents, you'll be deploying resources in your own Google Cloud project and will be responsible for those resources. Please review the Google Cloud Service Terms for details.
This feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms. Pre-GA features are available "as is" and might have limited support. For more information, see the launch stage descriptions.