How does the skill handle rate limiting?

The skill includes built-in logic to handle common API errors, specifically implementing retries with exponential backoff for rate-limited requests.

Does this skill require an API key?

Yes, you need a Google Gemini API key configured in your environment variables as GEMINI_API_KEY to authenticate with the Python SDK.

Can I use this for multimodal tasks?

Yes, by invoking the Gemini 3 Pro Preview model, you can leverage Google's best multimodal understanding capabilities for analysis and reasoning.

Does it support streaming responses?

Yes, the skill includes patterns for streaming content generation, allowing you to see output in real-time for longer tasks.

Which Gemini models are supported by this skill?

It supports Gemini 3 Pro Preview (best for multimodal), Gemini 2.5 Pro (advanced reasoning), Gemini 2.5 Flash (fast), and Gemini 2.5 Flash Lite (cost-efficient).

Gemini LLM Integration

Name: Gemini LLM Integration
Author: rdfitted

byrdfitted

0•

数据科学与机器学习

Integrates Google Gemini models into Claude Code for advanced reasoning, multimodal analysis, and high-speed text generation using the google-genai SDK.

The Gemini LLM skill empowers Claude Code to leverage Google’s latest Gemini models, including the reasoning-heavy Gemini 3 Pro and the high-performance Gemini 2.5 Flash series. By utilizing the Python google-genai SDK, this skill enables sophisticated workflows such as complex code review, deep technical planning, and multimodal understanding directly within your terminal. It features automated model selection based on task complexity, built-in error handling for rate limits, and support for streaming responses, making it an essential tool for developers who want to augment Claude's native capabilities with Google's specialized AI infrastructure.

主要功能

01Automated model selection (Pro, Flash, Lite) based on task urgency and complexity

02Support for streaming responses and multi-turn conversational history

03Access to Gemini 3 Pro Preview for advanced multimodal reasoning

04Full Python SDK integration via the google-genai library

050 GitHub stars

06Robust error handling for API rate limits and token constraints

使用场景

01Explaining complex technical concepts through multi-turn AI interactions

02Generating high-speed, cost-efficient boilerplate code or documentation using Gemini 2.5 Flash

03Conducting deep-dive code reviews and bug detection using Gemini 3 Pro reasoning

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rdfitted/claude-code-setup gemini-llm

For use in Claude.ai and ChatGPT

Download Skill