[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"pack-detail-gemini-cli-extensions-starter-zh":3,"seo:pack:gemini-cli-extensions-starter:zh":96},{"code":4,"message":5,"data":6},200,"操作成功",{"pack":7},{"slug":8,"icon":9,"tone":10,"status":11,"status_label":12,"title":13,"description":14,"items":15,"install_cmd":95},"gemini-cli-extensions-starter","✨","#4285F4","new","本周新建","Gemini CLI 扩展入门套装","刚装好 Gemini CLI、想把 Gemini 多模态 + Google 生态吃透的开发者，这十个就是顺序：CLI 本体 + 被冷落的 5 个官方扩展（BigQuery \u002F Genkit \u002F Firebase \u002F Flutter \u002F gcloud）+ 4 个 MCP（Stitch 设计 \u002F Workspace \u002F NotebookLM \u002F Cloud Assist）。",[16,28,38,45,52,58,65,75,82,89],{"id":17,"uuid":18,"slug":19,"title":20,"description":21,"author_name":22,"view_count":23,"vote_count":24,"lang_type":25,"type":26,"type_label":27},795,"926633bc-d041-486a-bda3-5a3cecabc0a8","gemini-cli-google-ai-coding-agent-terminal-926633bc","Gemini CLI — Google AI Coding Agent in Terminal","Google's official CLI coding agent powered by Gemini 2.5 Pro. Free 60 requests\u002Fmin for Gemini users with 1M token context, MCP support, and Google ecosystem integration.","AI Open Source",128,0,"en","script","Script",{"id":29,"uuid":30,"slug":31,"title":32,"description":33,"author_name":34,"view_count":35,"vote_count":24,"lang_type":25,"type":36,"type_label":37},87,"4fd37d4a-e375-41e6-bf0d-121659056855","gemini-cli-extension-bigquery-data-analytics-sql-4fd37d4a","Gemini CLI Extension: BigQuery — Data Analytics & SQL","Gemini CLI extension for BigQuery. Write SQL queries, analyze datasets, optimize performance, and manage tables.","Google · Gemini Team",135,"skill","Skill",{"id":39,"uuid":40,"slug":41,"title":42,"description":43,"author_name":34,"view_count":44,"vote_count":24,"lang_type":25,"type":36,"type_label":37},88,"70150d0c-4b06-447f-9bde-9a6741a06389","gemini-cli-extension-gcloud-cloud-cli-operations-70150d0c","Gemini CLI Extension: gcloud — Cloud CLI Operations","Gemini CLI extension for Google Cloud Platform. Deploy, configure, and manage GCP resources via natural language commands.",138,{"id":46,"uuid":47,"slug":48,"title":49,"description":50,"author_name":34,"view_count":51,"vote_count":24,"lang_type":25,"type":36,"type_label":37},91,"0f9fe677-0066-422d-9738-c4a8dede50bc","gemini-cli-extension-genkit-ai-framework-development-0f9fe677","Gemini CLI Extension: Genkit — AI Framework Development","Gemini CLI extension for Firebase Genkit. Build AI-powered features with flows, prompts, retrievers, and model integration.",119,{"id":53,"uuid":54,"slug":55,"title":56,"description":57,"author_name":34,"view_count":51,"vote_count":24,"lang_type":25,"type":36,"type_label":37},83,"43efc92f-0517-4ad5-907c-08d899f32c66","gemini-cli-extension-firebase-project-deploy-manage-43efc92f","Gemini CLI Extension: Firebase — Project Deploy & Manage","Gemini CLI extension for Firebase. Deploy functions, manage databases, configure auth, and monitor projects via natural language.",{"id":59,"uuid":60,"slug":61,"title":62,"description":63,"author_name":34,"view_count":64,"vote_count":24,"lang_type":25,"type":36,"type_label":37},85,"7d515779-d57f-4604-a034-630ce676e80f","gemini-cli-extension-flutter-cross-platform-app-dev-7d515779","Gemini CLI Extension: Flutter — Cross-Platform App Dev","Gemini CLI extension for Flutter development. Widget creation, state management, navigation, and platform-specific code generation.",150,{"id":66,"uuid":67,"slug":68,"title":69,"description":70,"author_name":71,"view_count":72,"vote_count":24,"lang_type":25,"type":73,"type_label":74},3782,"9fd620b8-2e2b-5913-b38a-076deb3c396c","gemini-cloud-assist-mcp-google-cloud-ops-tools","Gemini Cloud Assist MCP — Google Cloud Ops Tools","Google Cloud Assist MCP server (Private Preview) that connects MCP clients to Gemini Cloud Assist APIs; verified 60 stars and remote MCP endpoints.","MCP Hub",5,"mcp","MCP",{"id":76,"uuid":77,"slug":78,"title":79,"description":80,"author_name":34,"view_count":81,"vote_count":24,"lang_type":25,"type":73,"type_label":74},151,"05e7ef0b-cc4a-46e5-8b15-d78a626fcd6f","google-stitch-mcp-ai-design-via-model-context-protocol-05e7ef0b","Google Stitch MCP — AI Design via Model Context Protocol","Connect Claude Code, Cursor, Gemini CLI, or VS Code to Google Stitch for AI-driven UI design. Create projects, generate screens from text, edit designs, manage design systems — all via MCP.",450,{"id":83,"uuid":84,"slug":85,"title":86,"description":87,"author_name":71,"view_count":88,"vote_count":24,"lang_type":25,"type":73,"type_label":74},787,"557765e3-1497-4f9d-ad89-23f9460c6d75","google-workspace-mcp-gmail-drive-calendar-ai-557765e3","Google Workspace MCP — Gmail Drive Calendar for AI","Official Google CLI with built-in MCP server for all Workspace APIs. One command gives AI agents access to Gmail, Drive, Calendar, Docs, Sheets, and 10+ Google services.",142,{"id":90,"uuid":91,"slug":92,"title":93,"description":94,"author_name":71,"view_count":72,"vote_count":24,"lang_type":25,"type":73,"type_label":74},3176,"bc3d5f4b-e533-40fa-b9e9-20ce7708c643","notebooklm-mcp-cli-35-tools-for-agents","NotebookLM MCP — CLI + 35 Tools for Agents","NotebookLM MCP (notebooklm-mcp-cli) gives you a CLI (`nlm`) and an MCP server (`notebooklm-mcp`) so assistants can operate Google NotebookLM notebooks.","tokrepo install pack\u002Fgemini-cli-extensions-starter",{"pageType":97,"pageKey":8,"locale":98,"title":99,"metaDescription":100,"h1":101,"tldr":102,"bodyMarkdown":103,"faq":104,"schema":120,"internalLinks":126,"citations":139,"wordCount":152,"generatedAt":153},"pack","zh","Gemini CLI 扩展入门套装 — 多模态 Google 原生的 10 件套","刚装好 Gemini CLI 不知道装啥？十个押在 Gemini 长项上的资产：BigQuery、Genkit、Firebase、Flutter、gcloud 这五个被冷落的官方扩展 + Stitch \u002F Workspace \u002F NotebookLM \u002F Cloud Assist 四个 MCP。多模态优先，Google 原生，按推荐顺序装。","Gemini CLI 扩展入门套装 — 多模态 + Google 原生，按安装顺序排","给那种「特意选 Gemini CLI 而不是 Claude Code \u002F Cursor」的开发者：CLI 本体 + 五个被官方教程冷落的扩展（BigQuery \u002F gcloud \u002F Genkit \u002F Firebase \u002F Flutter）+ 四个把 Gemini 接到 Stitch 设计 \u002F Workspace \u002F NotebookLM \u002F Cloud Ops 的 MCP。跳过那几个被吹烂的，装这十个。","## 这个 pack 包含什么\n\nGemini CLI 转正后，官方扩展长到 10 个左右，大部分教程翻来覆去讲那 4 个（Stitch、Workspace、Code Review、Postgres）。当 demo 演示行，真要在 Google 生态里日常干活——不够用。\n\n这个 pack 写给那种**特意**选 Gemini CLI 的开发者：因为它有 **100 万 token 上下文**、**Gemini 用户 60 req\u002Fmin 免费**额度、**原生多模态输入**（截图 \u002F PDF \u002F 视频帧直接喂）、还有 **Google 生态深度集成**（BigQuery \u002F Firebase \u002F GCP 全是一等公民，不像 Claude Code \u002F Cursor 要靠第三方 MCP 硬接）。你要的是**押注这些长项**的清单，不是把 Gemini CLI 当 Claude Code 翻版用。\n\n十个：**CLI 本体** + **五个被冷落的官方扩展**（BigQuery \u002F gcloud \u002F Genkit \u002F Firebase \u002F Flutter 加上 Cloud Assist）+ **四个高杠杆 MCP**（把 Gemini 的视觉能力和 Google 应用接入打通）。装到第 10 个，你就有一个能：对着真实 BigQuery 写 SQL、部署 Firebase 函数、用 Stitch 设计 Flutter 界面、读 Gmail + Drive、查 NotebookLM 语料库的 agent。没有一项是表演式集成，全是 Google 原生。\n\n## 推荐安装顺序\n\n1. **Gemini CLI** — 先装 agent 本体。`npm i -g @google\u002Fgemini-cli`，Google 账号登录，Gemini API 用户免费 60 req\u002Fmin + 100 万 token 上下文。别跳过额度检查：免费额度才是这个 stack 对个人开发者**可行**的根本原因。\n2. **Gemini CLI Extension: gcloud** — 地基。gcloud 一旦绑定到自然语言命令，后续所有碰 GCP 的扩展（BigQuery \u002F Firebase \u002F Cloud Assist）都能继承健全的鉴权和项目作用域。先装 gcloud；后面一切都依赖 `gcloud auth login` 健康。\n3. **Gemini CLI Extension: BigQuery** — 数据分析杀手锏。Gemini 100 万 token 上下文意味着你可以把 500 张表的 schema 全 paste 进去，问「Q4 营收为啥掉了」，得到一份真能跑的 SQL 草稿。这是 Claude Code 不装第三方 MCP + 折腾 4 小时根本做不到的场景。\n4. **Gemini CLI Extension: Firebase** — 部署函数、管理 Firestore 规则、配 auth — 全在 chat 里搞定。如果你做移动 \u002F Web 应用，后端在 Firebase 上，这把 `firebase deploy` 工作流压缩到一个 prompt。\n5. **Gemini CLI Extension: Flutter** — 和 Firebase (#4) 配对就是经典 Google 移动栈。Widget 生成、状态管理脚手架、平台专属代码。多模态点：paste 一张你想要的 UI 截图，得到完整的 widget tree。\n6. **Gemini CLI Extension: Genkit** — AI 应用框架。当你不再「**用** Gemini」开始「**嵌入** Gemini」（RAG 流、结构化输出、retriever），Genkit 就是那个 SDK。扩展让 flow 脚手架变成 30 秒的事。\n7. **Gemini Cloud Assist MCP** — Google Cloud 私测版 MCP 服务器，把 Cloud Ops API（日志、追踪、IAM 诊断）暴露给任何 MCP 客户端。和 gcloud (#2) 配对：一个**对** GCP 说话，这个**关于** GCP 说话——生产环境 502 排障时，让 Gemini 直接读 Cloud Logging 流。\n8. **Google Stitch MCP** — 多模态实力展柜。Paste 一个 Figma URL、一张旧截图、一张手绘线框图 — Stitch 生成可用的 UI。走 MCP 接线后 Gemini 能迭代（「把 CTA 改蓝、加搜索栏」），设计系统保持一致。这才是 Gemini 视觉 token 该挣的钱。\n9. **Google Workspace MCP** — Google 官方 CLI 内置 MCP 服务器，覆盖 Gmail \u002F Drive \u002F Calendar \u002F Docs \u002F Sheets 和 10+ 个 Google 服务。装好后，Gemini 能读你的邮箱、起草回复、占日历、就地改 Docs。把 CLI 从「编码工具」拉到「私人助理」的那一层枯燥但高频的生产力补丁。\n10. **NotebookLM MCP** — `nlm` CLI 加 MCP server，让 Gemini 操作 NotebookLM notebook：上传源文件、生成音频概览、对私有 RAG 语料库提问。和 Workspace MCP 配对，你就有完整的「读完我所有的东西然后推理」闭环 — 这才是 Gemini 长上下文真正被设计出来的用例。\n\n## 它们怎么协同\n\n```\nGemini CLI (#1)\n   │\n   └─ 100 万 token · 多模态 · 免费 60 rpm\n         │\ngcloud 扩展 (#2)  ←─ 地基：auth + 项目作用域\n   │\n   ├─ BigQuery (#3) ────────── 数据 + SQL\n   ├─ Firebase (#4)  ─┐\n   │                  ├─ 移动 \u002F Web 应用栈\n   ├─ Flutter (#5)  ──┘       （截图 → widget 树）\n   │\n   └─ Genkit (#6) ─────────── 自己造 AI 功能\n\nGoogle 生态 MCP（外挂，不是扩展）：\n   ├─ Cloud Assist MCP (#7) ── 排障 GCP 生产（日志 \u002F 追踪）\n   ├─ Stitch MCP (#8)  ─────── 多模态设计（图 → UI）\n   ├─ Workspace MCP (#9) ───── Gmail \u002F Drive \u002F 日历 \u002F Docs\n   └─ NotebookLM MCP (#10) ── 长上下文 RAG 对接自己的源\n```\n\n承重三件套：**CLI (#1) + gcloud (#2) + 一个匹配你工作流的 MCP**。数据人 → Cloud Assist (#7)。设计 \u002F PM → Stitch (#8)。运维杂工 → Workspace (#9)。**别第一天就装四个 MCP** — 挑当下做的事最匹配那个，撞到缺口再加下一个。\n\n## 你会遇到的取舍\n\n- **Gemini CLI vs Claude Code vs Cursor** — 押注不同。Claude Code 是最强的 **agent**（多步推理 \u002F sub-agent \u002F hooks 最好）。Cursor 是最强的**编辑器**（IDE 内 diff UI \u002F tab-complete 最丝滑）。Gemini CLI 是最强的 **Google 原生多模态**工具（100 万 token \u002F 免费额度 \u002F BigQuery \u002F Firebase \u002F Stitch 一等公民）。大部分老手两个都跑：日常 Claude Code 或 Cursor，遇到要 dump PDF \u002F 截图就切 Gemini CLI。\n- **官方扩展 vs MCP** — 扩展（#2-#6）是第一方、签名分发、零配置。MCP（#7-#10）能力更强但要配 JSON 有时还得另搞 OAuth。有扩展就用扩展；扩展覆盖不了再上 MCP。\n- **Stitch MCP vs Stitch 扩展** — 官方 Stitch **扩展**在 CLI 里用够用了。MCP 版本是同一能力暴露在 MCP 上，让 Cursor 和 Claude Code 也能调。看你日常编辑器说哪种语言；两个编辑器混用就两个都装。\n- **Workspace MCP vs 直接调 Gmail API** — Workspace MCP 一份配置就能让 AI 读邮箱。裸 Gmail API 两小时 OAuth 脚手架才能干同样的事。如果你曾经为了转发邮件写过 Google Apps Script，MCP 这条路严格更优。\n- **免费额度的现实检查** — 60 rpm 听着很大方，但多模态调用（图 \u002F 视频帧）烧得更快。如果你天天 paste 截图，第二周之前就该考虑付费 Gemini API key。\n\n## 常见踩坑\n\n- **「我不用 GCP」就跳过 gcloud (#2)** — 就算生产在 AWS，gcloud 扩展是把 `gcloud auth` 接到 BigQuery \u002F Firebase \u002F Cloud Assist 三件套的桥。装上；只 GCP 的命令视而不见就行。\n- **每个扩展都装** — 官方扩展约 10 个。不需要全装。挑碰你 stack 的几个。多余扩展会撑大 Gemini 路由请求时要扫的 prompt context，整体会变慢一点。\n- **在免费额度上 paste 500 页 PDF** — Gemini 会接受、会解析，然后你看着当日额度一次调用烧光。先分块，或者升级到付费。\n- **Workspace MCP 接错 Google 账号** — 公司数据在 `@company.com`，OAuth 时一不小心点了个人账号很常见。double-check 授权页。\n- **把 Stitch MCP 输出当成能直接上线的成品** — 那是非常好的初稿。push 到生产前先给设计师过一眼。审美是「能用的默认」，不是「贴你品牌的」。\n\n## 和另一个 Gemini pack 怎么互补\n\nTokRepo 已经有一个 [Gemini CLI 官方扩展](\u002Fzh\u002Ftopics\u002Fgemini-cli-extensions) pack，覆盖 **Google 官方为 Gemini CLI 配的 10 个扩展**（Stitch \u002F Workspace \u002F Code Review \u002F Postgres \u002F Vertex AI 等）。那是个**全收**索引——一次装全，看哪个粘住。\n\n这个 pack 是**反向 curation**：一份小而有主观判断的多模态优先短清单，混了 CLI 本体、五个被冷落的官方扩展、外加四个把 Gemini 延伸到 Google Workspace \u002F NotebookLM \u002F Stitch \u002F Cloud Ops 的 MCP。如果说官方那份是规格说明书，这份是上手剧本。",[105,108,111,114,117],{"q":106,"a":107},"和已有的 Gemini CLI 扩展 pack 有什么不同？","已有那个 pack 是 Google 官方为 Gemini CLI 配的 10 个扩展的全收索引 — Stitch \u002F Workspace \u002F Code Review \u002F Postgres \u002F Vertex AI 等。这个 pack 选法不同：从 CLI 本体开始，挑五个**被官方教程冷落**的扩展（BigQuery \u002F gcloud \u002F Genkit \u002F Firebase \u002F Flutter），再加四个 MCP（Cloud Assist \u002F Stitch MCP \u002F Workspace MCP \u002F NotebookLM MCP）押在 Gemini 多模态视觉 token 和 Google 应用集成上。角度不同，workflow_ids 大部分不同，故意互补。",{"q":109,"a":110},"Gemini CLI 真的值得和 Claude Code \u002F Cursor 同时装吗？","如果你工作流里有多模态输入 — 值得。Gemini 100 万 token 上下文 + 原生 image \u002F PDF \u002F 视频帧吃进去，Claude Code 和 Cursor 只能装样子。具体例子：paste 200 页合同问条款差异、丢一张 Figma 截图进 chat 拿 Flutter widget 代码、dump 一堆竞品截图拿对比表。免费 60 rpm 让它作为「第二工具」常驻几乎没成本。大多数工程师不替换主力，把 Gemini CLI 当成多模态的「后兜」选项。",{"q":112,"a":113},"需要付费 Google Cloud 账号才能用这些吗？","CLI 加大部分扩展，不需要 — Google 账号就够用，Gemini API 免费档 60 req\u002Fmin。BigQuery \u002F Firebase \u002F Cloud Assist 这几个扩展会碰你真实的 GCP 资源，所以需要 GCP 项目。两边都有**永久免费档**（BigQuery：10 GB 存储 + 1 TB\u002F月 查询；Firebase：Spark 方案），无信用卡也能玩。Workspace MCP 任何 Google 账号都行，个人 \u002F 付费都可以。NotebookLM 免费。",{"q":115,"a":116},"为啥要装 Cloud Assist MCP，直接用 gcloud 不就行了？","面对的不是一回事。gcloud 扩展（#2）是发命令（「部署这个」「开那个 bucket」）。Cloud Assist MCP 是对 Cloud 的**运维** API 做推理 — Cloud Logging 流、追踪、IAM 诊断、推荐动作。当 Cloud Run 服务在生产抛 502，gcloud 帮你重部署；Cloud Assist 帮你查清**为啥**。两个都装；互补。",{"q":118,"a":119},"在 Windows 上能用吗？","能，有几个小坑。Gemini CLI 本身走 npm 分发，跨平台没问题。Google Workspace MCP 和 NotebookLM MCP 都是 Node 项目，Windows 原生或 WSL2 都行。Firebase 和 Flutter 扩展需要本地装对应 SDK（firebase-tools 和 flutter SDK） — 都有 Windows 安装器，但 WSL2 更友好。gcloud 有 Windows 原生安装器。唯一摩擦点是长 prompt 在 PowerShell vs bash 下的 shell 引号转义；大多数人为这一条就默认走 WSL2 了。",{"@context":121,"@type":122,"name":13,"description":123,"numberOfItems":124,"inLanguage":125},"https:\u002F\u002Fschema.org","ItemList","刚装好 Gemini CLI 的开发者按推荐顺序装的十个资产 — CLI 本体 + 被冷落的官方扩展 + 高杠杆 MCP，多模态优先，Google 原生。",10,"zh-CN",[127,131,135],{"url":128,"anchor":129,"reason":130},"\u002Fzh\u002Ftopics\u002Fgemini-cli-extensions","Gemini CLI 官方扩展 — 完整索引","本 pack 是那份「全收清单」的反向 curation 版本",{"url":132,"anchor":133,"reason":134},"\u002Fzh\u002Fai-tools-for\u002Fcoding","AI 编码工具","对比 Gemini CLI \u002F Claude Code \u002F Cursor \u002F Codex CLI",{"url":136,"anchor":137,"reason":138},"\u002Fzh\u002Ftopics","浏览其他主题 pack","相邻 pack：MCP 服务器全家桶、Claude Code 30 分钟新手包、工作流编排",[140,144,148],{"claim":141,"source_name":142,"source_url":143},"Gemini CLI 是 Google 官方开源的 CLI 编码 agent，支持 100 万 token 上下文","Google AI 开发者文档 — Gemini CLI","https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fgemini-cli",{"claim":145,"source_name":146,"source_url":147},"Gemini CLI 把 MCP 服务器作为原生扩展机制支持","google-gemini\u002Fgemini-cli on GitHub","https:\u002F\u002Fgithub.com\u002Fgoogle-gemini\u002Fgemini-cli",{"claim":149,"source_name":150,"source_url":151},"Google Stitch 从文本和图片生成 UI 设计","Google Stitch 产品页","https:\u002F\u002Fstitch.withgoogle.com\u002F",1450,"2026-05-22T00:00:00Z"]