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Javier-Lombard
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gemini-api-dev

Develop applications with the Gemini API for multimodal content and function calling.

Updated Apr 10, 2026
Search Tags:#sdk#application development#function calling#gemini-api#multimodal content
One-click install
npx skills add https://github.com/Javier-Lombard/WAGE-VANTAGE-FINAL --skill gemini-api-dev-javier-lombard
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gemini-api-dev
Source: https://github.com/Javier-Lombard/WAGE-VANTAGE-FINAL/tree/main/.agents/skills/gemini-api-dev
Command: npx skills add https://github.com/Javier-Lombard/WAGE-VANTAGE-FINAL --skill gemini-api-dev-javier-lombard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, @google/genai, google.golang.org/genai, com.google.genai:google-genai, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill addresses the need for building applications that interact with Gemini API-hosted models, focusing on multimodal content, function calling, structured outputs, and current model specifications.

Core Features & Use Cases

  • Multimodal Content Support: Facilitates development with Gemini API for text, images, audio, and video.
  • Function Calling: Allows implementing function calling within applications.
  • Structured Outputs: Provides guidance on using structured outputs for better data handling.
  • SDK Usage: Offers SDK usage guidance for Python, JavaScript/TypeScript, Java, and Go.
  • Model Selection: Assists in selecting the appropriate model for specific tasks.

Quick Start

Use the gemini-api-dev skill to generate content with the gemini-3-flash-preview model: generate-content --model gemini-3-flash-preview "Explain quantum computing".

Frequently Asked Questions about gemini-api-dev

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

FAQPage Schema
How do I use the Gemini API for multimodal content processing in my application?▼

The Gemini API supports multimodal content processing for text, images, audio, and video through dedicated SDKs available for Python, JavaScript/TypeScript, Java, and Go, enabling diverse application development workflows.

Can I implement function calling with the Gemini API using Python or TypeScript?▼

Yes, you can implement function calling with the Gemini API using Python or TypeScript SDKs. The API provides specific guidance for integrating function calling and generating structured outputs for reliable data handling.

What is the best way to select the right Gemini model for structured outputs?▼

The best way to select a Gemini model for structured outputs is to evaluate your task requirements against current model specifications. This skill assists in selecting the appropriate model to handle structured data generation effectively.

Does the Gemini API support application development in Go and Java environments?▼

Yes, the Gemini API supports application development in Go and Java environments. It provides dedicated SDK usage guidance for both languages to facilitate model integration and multimodal content processing.

How do I generate content with the Gemini API using a specific model like gemini-3-flash-preview?▼

To generate content with a specific model like gemini-3-flash-preview, use the generate-content command followed by the model name and your prompt string, such as generate-content --model gemini-3-flash-preview "Explain quantum computing".

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