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I-unlock ang mga advanced na daloy ng trabaho ng AI sa iyong terminal gamit ang Google Gemini CLI cheatsheet—na sumasaklaw sa pag-install, pagsasaayos, mga utos, konteksto, at pagsasama ng Model Context Protocol para sa mabilis na produktibidad ng developer at susunod na antas ng automation.
Ipinapakita sa orihinal na Ingles ang nilalamang wala pang available na salin.
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.
Ibahagi ang URL ng iyong website, mga layunin, platform, at anumang deadline o limitasyon sa badyet. Karaniwan kaming sumasagot sa loob ng isang araw ng negosyo na may mga tanong o iminungkahing susunod na hakbang. Mangyaring huwag magpadala ng mga password o rekord ng customer.
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
Ihambing ang GPT-6 Astra, Claude Fable 5.1, Opus 5 at Grok 4.6 sa pagpepresyo ng API, konteksto at praktikal na pamantayan sa pagsusuri ng negosyo.
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Ang paglabas ng Zhipu AI GLM 5.2 ay nagbibigay ng isang tunay na nakakagambalang asset sa pandaigdigang komunidad ng mga developer. Bilang isang elite Mixture of Experts coding models package na tumatakbo sa ilalim ng lisensya ng MIT, naghahatid ito ng hindi kapani-paniwalang 1-milyong token context window kasama ng isang makasaysayang marka ng GLM 5.2 Terminal Bench na 81.0.
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Nasa unahan ng teknolohikal na pagbabagong ito ang pinakahuling anunsyo ng Anthropic: Introducing Claude Fable 5. Inilunsad sa buong mundo noong Hunyo 9, 2026, at mabilis na na-redeploy noong Hulyo 1, 2026.
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