Does this skill support both Python and Node.js?

Yes, it provides complete code samples and workflows for both the Python (google-genai) and Node.js (@google/generative-ai) SDKs.

What is the recommended temperature for Gemini 3 Pro reasoning?

Temperature should be kept at 1.0 to ensure optimal performance and avoid looping during complex reasoning tasks when using the thinking_level parameter.

How do I manage Gemini's dynamic thinking levels?

Use the 'thinking_level' parameter in your generation config, setting it to 'high' for complex analysis or 'low' for faster, simple factual responses.

Can I use this for long-context applications?

Absolutely; Gemini 3 Pro supports up to a 1 million token input context, and this skill covers the configurations needed to handle large-scale data.

Does it include production-grade error handling?

Yes, the skill provides specific retry logic using the google.api_core library to handle rate limits and service interruptions.

Gemini 3 Pro API Integration

Name: Gemini 3 Pro API Integration
Author: adaptationio

byadaptationio

Data Science & ML

Integrates Google's Gemini 3 Pro API into Python and Node.js applications with advanced reasoning and streaming capabilities.

About

This skill provides a comprehensive framework for developers to implement Google’s Gemini 3 Pro model, offering specialized guidance on massive context window management, dynamic thinking configurations, and production-grade deployment patterns. It streamlines the transition from basic API calls to sophisticated chat applications by providing pre-built workflows for authentication, error handling, rate limiting, and cost monitoring, ensuring your AI integrations are both robust and cost-effective.

Key Features

Python and Node.js SDK setup and authentication guides
Dynamic Thinking level configuration for high/low reasoning depth
Production-ready error handling with exponential backoff retries
0 GitHub stars
Real-time streaming response patterns for low-latency UX
Token usage monitoring and automated cost estimation

Use Cases

Deploying scalable, monitored AI integrations in production environments
Building advanced AI chat applications with 1M token context memory
Implementing complex reasoning tasks using Gemini's high-thinking mode

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptationio/skrillz gemini-3-pro-api

For use in Claude.ai and ChatGPT

Download Skill

GitHub