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使用 Google Gemini CLI 备忘单在终端中解锁高级 AI 工作流——涵盖安装、配置、命令、上下文和模型上下文协议集成，以实现快速的开发者生产力和下一级自动化。
没有可用翻译的内容将以英文原文显示。
is Google’s open-source command-line AI agent that embeds Gemini’s large language models directly into your terminal. Its powerful natural language processing allows you to code, debug, generate content, automate repetitive tasks, and even interact with external APIs and code repositories—all from the simplicity and speed of the command line.
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Gemini CLI is:
Below is a distilled cheatsheet with the top Gemini CLI commands, flags, shortcuts, and developer workflows for 2025.
npm install -g @google/gemini-cli
npx @google/gemini-cli
geminiAuthenticate with a Google account or Gemini API key:
export GEMINI_API_KEY="YOUR_KEY"~/.gemini/.env or project .gemini/.env.gemini
gemini -p "Summarize this code"
cat notes.txt | gemini
gemini --model gemini-1.5-flash
gemini --debug@./src/main.js (adds contents to prompt context)@./project/ (includes all files recursively, respects .gitignore)@./fileA.py @./fileB.py!git status
! alone to toggle shell mode. Exit with another !.--sandbox (requires Docker/Podman)/extensions add <ext> or manual edit to settings..gemini/settings.json:json"mcpServers": { "github": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-github"], "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_TOKEN" } } }
/mcp
/restore [checkpoint_name]gemini -p "Review all code changes in @./src/"
gemini -p "Generate README.md for @./project/"
gemini then> Refactor the directory @./src/ to use async/await.
gemini then> Generate an app prototype from @./ui-mockup.png1. What is the best way to install the Google Gemini CLI?
Install globally with npm install -g @google/gemini-cli or run via npx @google/gemini-cli. Node.js v18+ is required.
2. How do I authenticate Gemini CLI—Google account or API key?
For most, use your personal Google account at first launch, which grants free, high-limits. For advanced use, set the GEMINI_API_KEY as an environment variable or .env file for API key authentication.
3. How can I access and use context from my codebase in prompts?
Reference files or folders in prompts with @./src/file.js or @./directory/ and use GEMINI.md for custom project rules.
4. What is the Model Context Protocol (MCP) in Gemini CLI?
MCP is the open protocol Google Gemini CLI uses to integrate external tools like GitHub, Notion, or cloud APIs—add servers in .gemini/settings.json and use /mcp to list available actions.
5. How do I monitor Gemini CLI usage and rate limits?
Use /stats to see token usage, queries per session, and request quotas. Personal Google login offers 1,000 free model requests/day and 60/minute; see quota in session.
Google Gemini CLI cheatsheet is your definitive resource for Google’s command-line AI agent. Combining open-source flexibility, deep integration with APIs and tools through MCP, multimodal support, robust free usage quotas, and intuitive commands, Gemini CLI ushers in a new era of developer productivity right from the terminal. With slash, context, and shell commands, checkpointing, and customization options, power users can automate, code, document, and create seamlessly. By leveraging this cheatsheet, you unlock the full potential of Gemini CLI—placing world-class AI, advanced code analysis, and automation at your fingertips.
Reference Links
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