🎯

gemini-cli

🎯Skill

from zpankz/mcp-skillset

What it does

Enables developers to interact with Google's Gemini AI models directly through the terminal, providing powerful code and workflow assistance.

📦

Part of

zpankz/mcp-skillset(137 items)

gemini-cli

Installation

📋 No install commands found in docs. Showing default command. Check GitHub for actual instructions.

Quick InstallInstall with npx

npx skills add zpankz/mcp-skillset --skill gemini-cli

Need more details? View full documentation on GitHub →

2Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

Skill Details

SKILL.md

Overview

# Gemini Cli

Gemini CLI is a command-line interface tool that provides direct access to Google's Gemini AI models through the terminal, designed specifically for developers and technical professionals. It serves as a bridge between local development environments and Gemini's AI capabilities, featuring comprehensive file system operations, workspace context awareness, and extensible command patterns.

The tool distinguishes itself through deep integration with development workflows, offering native IDE support (particularly for VS Code), robust file system manipulation capabilities, and an extensible architecture that allows for custom functionality. Its design focuses on maintaining developer productivity by keeping interactions within the terminal while providing powerful AI assistance for various development tasks.

Core Capabilities

This skill provides specialized knowledge and workflows for:

AI-assisted code development and review
Automated file system operations
Interactive AI conversations in terminal
Documentation generation
Code analysis and modification
Development workflow automation
Context-aware development assistance

When to Use This Skill

Use this skill when:

You need to work with gemini cli
You're implementing features that involve these use cases
You need guidance on best practices and patterns

Ecosystem & Alternatives

Category: AI Development Tools, Command Line Utilities, Developer Productivity Tools, AI Assistants

Alternatives:

OpenAI CLI
GitHub Copilot CLI
LangChain CLI
Azure OpenAI CLI
Anthropic Claude CLI

Works well with:

VS Code
Terminal Emulators
Version Control Systems
Development IDEs
Build Tools

Integration Patterns

Common Patterns

VS Code workspace integration
File system operations
Command-line environment interaction
Extension system usage

Advanced Patterns

Custom extension development
Workspace context automation
Multi-file processing workflows
CI/CD pipeline integration

Best Practices

Use built-in file system tools for safety
Implement proper authentication and security measures
Leverage slash commands for session management
Keep extensions updated and verified
Document custom configurations
Use IDE integration for better context
Implement proper error handling
Maintain consistent command patterns

Common Pitfalls to Avoid

Exposing sensitive data in command history
Storing credentials in plaintext
Overloading with unnecessary extensions
Unsafe file system operations
Inadequate error handling
Recursive operations without limits
Poor performance due to inefficient commands
Neglecting security updates

References

[Official Documentation](https://google-gemini.github.io/gemini-cli/docs/)

Reference Files

See the references/ directory for:

Complete API documentation
Detailed examples
Configuration guides

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