Does this skill require a Gemini API key?

Yes, you must have the Gemini CLI installed and properly authenticated on your system for this skill to function correctly.

Is it compatible with all operating systems?

Yes, the skill is cross-platform and works on Windows, macOS, and Linux using a standard Python implementation.

Can I use this for real-time code generation?

Absolutely. You can pass prompts for code generation directly to the script, and it will return the Gemini-generated output to your Claude session.

How do I change the Gemini model being used?

You can configure the specific model by setting the GEMINI_MODEL environment variable, for example: export GEMINI_MODEL=gemini-1.5-pro.

Why is the timeout set to two hours?

The 7,200,000ms timeout ensures that complex, long-running reasoning tasks or deep code analysis won't be interrupted by standard tool execution limits.

Gemini AI Integration

Name: Gemini AI Integration
Author: Activer007

byActiver007

데이터 과학 및 ML

Integrates Google's Gemini AI models into Claude Code for advanced reasoning and multi-model code analysis.

소개

This skill enables Claude Code to interface directly with the Gemini CLI, allowing developers to leverage Google's latest Gemini models for complex reasoning, code generation, and deep security analysis. By providing access to Gemini's unique capabilities within the Claude environment, it allows for cross-model validation, alternative perspectives on difficult bugs, and the utilization of Gemini's specific architectural strengths. It features built-in environment management via uv and an extended two-hour timeout specifically designed for high-compute reasoning tasks.

주요 기능

Extended 7,200,000ms timeout for complex, long-running reasoning tasks
Seamless CLI integration using uv for automated environment management
Zero-dependency Python implementation for lightweight cross-platform use
Direct output streaming for real-time response monitoring
0 GitHub stars
Multi-model support including Gemini Pro and Flash via environment variables

사용 사례

Obtaining an alternative AI perspective on difficult architectural problems
Cross-model code reviews to identify subtle security vulnerabilities
Generating complex algorithmic logic using Gemini's reasoning capabilities

소개

주요 기능

Extended 7,200,000ms timeout for complex, long-running reasoning tasks
Seamless CLI integration using uv for automated environment management
Zero-dependency Python implementation for lightweight cross-platform use
Direct output streaming for real-time response monitoring
0 GitHub stars
Multi-model support including Gemini Pro and Flash via environment variables

사용 사례

Obtaining an alternative AI perspective on difficult architectural problems
Cross-model code reviews to identify subtle security vulnerabilities
Generating complex algorithmic logic using Gemini's reasoning capabilities