gemini-api-dev

Integrate Gemini API capabilities into applications using multiple SDKs.

5|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/szeyu/open-ssyok-finance --skill gemini-api-dev-szeyu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-api-dev
Source: https://github.com/szeyu/open-ssyok-finance/tree/main/.agents/skills/gemini-api-dev
Command: npx skills add https://github.com/szeyu/open-ssyok-finance --skill gemini-api-dev-szeyu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps developers build applications that leverage Gemini models, the Gemini API, and multimodal content, enabling rapid integration and experimentation across platforms. It also covers SDK usage across Python, JavaScript/TypeScript, Go, and Java, as well as model selection and API capabilities.

Core Features & Use Cases

  • Text generation, multimodal understanding, function calling, structured outputs, and code execution.
  • SDKs for Python (google-genai), JavaScript/TypeScript (@google/genai), Go (google-genai), and Java (google-genai) with guidance on model selection and API usage.
  • Supported Gemini models include gemini-3-pro-preview, gemini-3-flash-preview, and gemini-3-pro-image-preview.
  • Use cases span building AI-enabled apps, chatbots, data analysis, and multimodal content processing across platforms.

Quick Start

Install the Gemini SDK for your language and run a sample query against gemini-3-flash-preview to verify integration.

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 the Gemini API using Python or JavaScript SDKs?

To integrate the Gemini API, install the appropriate SDK such as google-genai for Python or @google/genai for JavaScript/TypeScript, then run a sample query against models like gemini-3-flash-preview to verify your application setup.

Does the Gemini API support multimodal content and function calling?

Yes, the Gemini API supports multimodal content understanding, function calling, structured outputs, and code execution, enabling you to build advanced AI applications that process diverse data formats across supported platforms.

What is the best way to select a Gemini model for my application?

Selecting a Gemini model depends on your use case, with options like gemini-3-pro-preview and gemini-3-flash-preview available; this skill provides guidance on choosing the right model for tasks ranging from chatbots to data analysis.

Can I use the Gemini SDK with Go and Java for AI app development?

Yes, you can use the Gemini SDK with Go and Java for AI app development, as the skill provides SDK guidance across Python, JavaScript/TypeScript, Go, and Java to enable rapid integration and experimentation.

How do I generate structured outputs with the Gemini API?

You can generate structured outputs with the Gemini API by leveraging the built-in structured output capabilities within the SDKs, allowing your applications to receive formatted and predictable responses from Gemini models.