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Install (recommended):\n   ```bash\n   # Prereqs: Python 3.11+, uv, Node.js\n   uvx google-agents-cli setup\n   ```\n2. Or install only the skills into your coding agent:\n   ```bash\n   npx skills add google\u002Fagents-cli\n   ```\n3. Confirm the CLI runs:\n   ```bash\n   agents-cli info\n   ```\n\n## Intro\n\nagents-cli installs a CLI + skills so your coding assistant can scaffold, evaluate, and deploy production agents on Google Cloud with repeatable commands.\n\n- **Best for:** teams building agents on Google Cloud that want repeatable scaffolding, evals, and deployment flows\n- **Works with:** Python 3.11+, uv\u002Fuvx, Node.js; can be used standalone or from coding agents\n- **Setup time:** 15–30 minutes\n\n## Practical Notes\n\n- Start local-first: scaffold + run + eval before touching cloud deploy.\n- Keep your agent lifecycle reproducible by pinning tool versions in CI.\n\n## Mental model: it’s “skills + lifecycle commands”\n\nagents-cli is not a coding agent itself. It’s a set of CLI commands and skills that teach your coding assistant how to:\n- scaffold an agent project,\n- run and evaluate it,\n- deploy and operate it on Google Cloud.\n\n## Practical workflow (minimal)\n\n### 1) Scaffold a project\n\n```bash\nagents-cli scaffold my-agent\ncd my-agent\n```\n\n### 2) Run the agent locally (one-shot prompt)\n\n```bash\nagents-cli run \"Summarize the latest logs and propose fixes\"\n```\n\n### 3) Add evaluation early\n\nEven if your eval set is small, it prevents regressions:\n\n```bash\nagents-cli eval run\n```\n\n## Team hygiene\n\n- Treat the CLI as the “source of truth” for commands your agent should use.\n- Keep a short `AGENTS.md` in the repo that says which commands are required before PR.\n- When the agent changes code, ask it to run `agents-cli lint` (or your repo’s lint) before it claims done.\n\n### FAQ\n\n**Q: Is this a replacement for Claude Code\u002FCodex\u002FGemini CLI?**\nA: No. It augments them with skills and lifecycle commands for agent projects.\n\n**Q: Can I use it without a coding agent?**\nA: Yes. The CLI is designed to work standalone from your terminal.\n\n**Q: Do I need Google Cloud for local development?**\nA: Not for basic scaffold\u002Frun\u002Feval; cloud is mainly for deployment and ops features.\n\n## Source & Thanks\n\n> Source: https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fagents-cli\n> License: Apache-2.0\n> GitHub stars: 2,285 · forks: 262\n\n---\n\n\u003C!-- ZH -->\n\n## 快速使用\n\n1. 安装（推荐）：\n   ```bash\n   # 前置：Python 3.11+、uv、Node.js\n   uvx google-agents-cli setup\n   ```\n2. 或者只把 skills 安装到你的 coding agent：\n   ```bash\n   npx skills add google\u002Fagents-cli\n   ```\n3. 验证 CLI 可用：\n   ```bash\n   agents-cli info\n   ```\n\n## 简介\n\nagents-cli 提供 CLI 与配套技能，让你的编码助手用可复用命令完成 Agent 项目脚手架、评测与部署到 Google Cloud 的全流程，并把关键步骤沉淀为团队标准与流水线。\n\n- **适合谁：** 在 Google Cloud 上做 Agent 的团队，想要可复用的脚手架、评测与部署流程\n- **可搭配：** Python 3.11+、uv\u002Fuvx、Node.js；既可独立使用，也可供 coding agent 调用\n- **准备时间：** 15–30 分钟\n\n## 实战建议\n\n- 先本地闭环：scaffold → run → eval，再上云部署。\n- 把版本固定进 CI，让 Agent 生命周期可复现、可回滚。\n\n## 心智模型：它是“技能 + 生命周期命令集”\n\nagents-cli 本身不是 coding agent；它是一组 CLI 命令与配套技能，用来教你的编码助手如何：\n- 生成\u002F升级 Agent 项目脚手架，\n- 本地运行与评测，\n- 在 Google Cloud 上部署与运维。\n\n## 最小实战流程\n\n### 1）创建项目\n\n```bash\nagents-cli scaffold my-agent\ncd my-agent\n```\n\n### 2）本地运行（一次性 prompt）\n\n```bash\nagents-cli run \"Summarize the latest logs and propose fixes\"\n```\n\n### 3）尽早引入评测\n\n哪怕 evalset 很小，也能显著降低回归：\n\n```bash\nagents-cli eval run\n```\n\n## 团队落地建议\n\n- 把 CLI 当成“你的 agent 应该执行哪些命令”的权威来源。  \n- 在仓库放一份精简 `AGENTS.md`，规定 PR 前必跑哪些命令。  \n- 让 agent 改完代码后先跑 `agents-cli lint`（或你们仓库的 lint）再交付。\n\n### FAQ\n\n**它会替代 Claude Code\u002FCodex\u002FGemini CLI 吗？**\n答：不会。它是给这些工具“加技能 + 生命周期命令”的增强层。\n\n**不用 coding agent 也能用吗？**\n答：可以。CLI 支持你直接在终端独立运行。\n\n**本地开发必须要 Google Cloud 吗？**\n答：不必。scaffold\u002Frun\u002Feval 可本地完成；云主要用于部署与运维。\n\n## 来源与感谢\n\n> Source: https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fagents-cli\n> License: Apache-2.0\n> GitHub stars: 2,285 · forks: 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