gemini-api-dev

Develop Gemini AI applications with multimodal content and function calling.

Updated Mar 8, 2026

Search Tags:#development #api #ai #llm #multimodal #gemini

Ready to run

npx skills add https://github.com/brivaro/brivaro-ai-wizard --skill gemini-api-dev-brivaro

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gemini-api-dev
Source: https://github.com/brivaro/brivaro-ai-wizard/tree/main/skills/gemini-api-dev
Command: npx skills add https://github.com/brivaro/brivaro-ai-wizard --skill gemini-api-dev-brivaro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill simplifies the process of building applications that leverage Google's Gemini AI models, handling complex tasks like multimodal content processing and function calling.

Core Features & Use Cases

Model Integration: Easily integrate with the latest Gemini models (e.g., gemini-3-pro-preview, gemini-3-flash-preview) via official SDKs.
Multimodal Capabilities: Process and understand text, images, audio, and video.
Advanced Features: Implement function calling for dynamic interactions and structured outputs for predictable data formats.
Use Case: Develop a customer support chatbot that can analyze uploaded images of product defects and provide relevant troubleshooting steps.

Quick Start

Use the gemini-api-dev skill to generate text explaining quantum computing using the gemini-3-flash-preview model.

Frequently Asked Questions about gemini-api-dev

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I integrate Gemini AI models using Python or JavaScript SDKs?▼

To integrate Gemini AI models, use the official SDKs available for Python, JavaScript/TypeScript, Go, and Java to connect with models like gemini-3-flash-preview and process multimodal content. You can also use REST API specifications for v1beta and v1 endpoints.

What is multimodal content processing in the Gemini API?▼

Multimodal content processing in the Gemini API allows your applications to simultaneously process and understand text, images, audio, and video inputs. This enables complex use cases like analyzing product defect images for customer support chatbots.

How do I implement function calling with Gemini models?▼

Function calling with Gemini models is implemented through the official SDKs to enable dynamic interactions within your application. This advanced feature allows the AI to request and utilize external data or trigger actions based on user prompts.

Can I generate structured outputs with the Gemini API?▼

Yes, you can generate structured outputs with the Gemini API to ensure predictable data formats in your application responses. This feature is supported across the Python, JavaScript/TypeScript, Go, and Java SDKs.

Does the Gemini API support both v1 and v1beta REST specifications?▼

Yes, the Gemini API supports both v1 and v1beta REST API specifications. This allows developers to target different API versions when integrating models like gemini-3-pro-preview into their applications.