code-reviewer
π―Skillfrom google-gemini/gemini-cli
An open-source AI agent that brings Google Gemini directly into the terminal, providing lightweight and direct access from prompts to the Gemini model.
Overview
A skill from the Gemini CLI repository that provides code review capabilities powered by Google's Gemini models. Gemini CLI is an open-source AI agent that brings Gemini directly into the terminal, offering built-in tools for file operations, shell commands, web fetching, and Google Search grounding with MCP support for custom integrations.
Key Features
- Free Tier Access - 60 requests per minute and 1,000 requests per day with a personal Google account, making code reviews cost-effective
- 1M Token Context Window - Leverages Gemini 3 models with a massive context window for reviewing large codebases and complex pull requests
- Terminal-First Design - Runs code reviews directly from the command line without leaving the development environment
- MCP Extensibility - Supports Model Context Protocol for custom integrations with project-specific review tools and workflows
- Multiple Installation Options - Available via npx (no installation required), npm global install, Homebrew, MacPorts, and Anaconda
Who is this for?
This skill is designed for developers who want AI-powered code review capabilities directly in their terminal using Google's Gemini models. It is particularly useful for teams and individual developers who prefer command-line workflows and want to leverage the generous free tier for routine code review tasks.
Same repository
google-gemini/gemini-cli(6 items)
Introducing Gemini CLI
Installation
npx vibeindex add google-gemini/gemini-cli --skill code-reviewernpx skills add google-gemini/gemini-cli --skill code-reviewer~/.claude/skills/code-reviewer/SKILL.mdSKILL.md
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An open-source AI agent that brings Google Gemini directly into the terminal, providing lightweight and direct access from prompts to the Gemini model.
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An open-source AI agent that brings Google Gemini directly into the terminal, providing lightweight and direct access from prompts to the Gemini model.
Skill
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