What is the Gemini CLI Skill for Claude Code?

It is a specialized capability that allows Claude to invoke Google's Gemini models to perform complex reasoning, code analysis, and generation tasks within its workflow.

Why does this skill have a 2-hour timeout?

The 7,200,000ms timeout is designed to accommodate complex, high-reasoning tasks that may take a significant amount of time for the AI to process and return results.

Is the Gemini CLI skill cross-platform?

Yes, the skill is implemented in Python and is compatible with Windows, macOS, and Linux environments.

Can I switch between different Gemini model versions?

Yes, you can configure the specific model (such as gemini-1.5-pro or gemini-3-pro-preview) by setting the GEMINI_MODEL environment variable.

Do I need a Google Gemini API key to use this skill?

Yes, this skill requires the Gemini CLI to be installed and authenticated on your local system to communicate with Google's AI models.

Gemini CLI Integration

Name: Gemini CLI Integration
Author: Microck

byMicrock

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데이터 과학 및 ML

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

소개

The Gemini CLI Skill enables Claude to leverage Google's latest AI models directly within its workflow, providing a powerful alternative perspective for complex problem-solving and code generation. It allows developers to run sophisticated queries, perform deep security audits, and analyze project structures using Gemini's advanced reasoning capabilities. This skill features a seamless CLI-based interface with extended two-hour timeout support, ensuring that even the most intensive AI-powered tasks are completed without interruption.

주요 기능

Support for multiple model variants including Gemini 1.5 Pro and Flash
Zero-dependency implementation for lightweight, cross-platform compatibility
81 GitHub stars
Extended 2-hour timeout support for complex, long-running reasoning tasks
Seamless integration with Google Gemini CLI for advanced AI analysis
Streamlined execution via uv or standard Python environments

사용 사례

Performing deep security audits and vulnerability assessments using Gemini
Cross-validating complex code logic with an alternative AI perspective
Automating large-scale project analysis that requires long-running AI processing

소개

주요 기능

Support for multiple model variants including Gemini 1.5 Pro and Flash
Zero-dependency implementation for lightweight, cross-platform compatibility
81 GitHub stars
Extended 2-hour timeout support for complex, long-running reasoning tasks
Seamless integration with Google Gemini CLI for advanced AI analysis
Streamlined execution via uv or standard Python environments

사용 사례

Performing deep security audits and vulnerability assessments using Gemini
Cross-validating complex code logic with an alternative AI perspective
Automating large-scale project analysis that requires long-running AI processing