skills.rest
JetBrains
JetBrainsOFFICIAL
Explore all skills by this author →
Website𝕏@jetbrainsGitHub

gemini-api-dev

Integrate Gemini API for multimodal content, function calling, and structured outputs.

302|22|Updated Feb 12, 2026
Search Tags:#multimodal#api-integration#function-calling#code-execution#structured-outputs#gemini-api#sdk-usage
One-click install
npx skills add https://github.com/JetBrains/skills --skill gemini-api-dev-jetbrains
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gemini-api-dev
Source: https://github.com/JetBrains/skills/tree/main/gemini-api-dev
Command: npx skills add https://github.com/JetBrains/skills --skill gemini-api-dev-jetbrains

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gemini API development streamlines building AI-powered apps by giving access to Google's Gemini models, enabling multimodal processing, function calling, and structured outputs.

Core Features & Use Cases

  • Text generation: generate chat, completion, and summaries with Gemini models.
  • Multimodal understanding: process images, audio, video, and documents.
  • Function calling & structured outputs: call external functions and return structured JSON conforming to schemas.
  • SDKs & deployment: guidance for Python (google-genai), JavaScript/TypeScript (@google/genai), Go (google.golang.org/genai), and Java (google-genai) with latest REST API discovery.
  • Use Case: Build a document search assistant that summarises long PDFs and answers questions.

Quick Start

Create a simple client that calls Gemini to generate a brief explanation of 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 integrate the Gemini API for multimodal content processing in Python?▼

To integrate the Gemini API for multimodal content processing in Python, use the google-genai SDK to handle text, images, audio, video, and documents directly within your application logic.

Can I use the Gemini API for structured outputs and function calling?▼

Yes, the Gemini API supports function calling to invoke external functions and returns structured JSON outputs that conform to your predefined schemas for reliable data formatting.

Does the Gemini API support JavaScript, Java, and Go SDKs?▼

Yes, the Gemini API supports JavaScript/TypeScript (@google/genai), Java (google-genai), and Go (google.golang.org/genai) SDKs, alongside the latest REST API discovery specs for deployment.

What is the best way to build an embedding-based search assistant with Gemini?▼

The best way to build an embedding-based search assistant with Gemini is leveraging its multimodal processing and text generation capabilities to summarize long PDFs and answer questions accurately.

How does code execution work with the Gemini API?▼

Code execution with the Gemini API enables your applications to dynamically run code, generate text completions, and process complex prompts, streamlining AI-powered app development workflows.

Related Skills

Explore More Software Engineering Skills→
princegarg001princegarg001

gemini-api-dev

Access Gemini models and multimodal features via the Gemini API.

Community
Advanced
ionmidoriionmidori

firebase-ai-logic

Integrate Gemini AI models into web apps using Firebase SDKs.

Community
Intermediate
thejordanleopoldthejordanleopold
4

rag-and-vector-search

Implement retrieval-augmented generation pipelines with vector search.

Community
Advanced
wenermewenerme
7

google-ai-docs

Find official Gemini developer documentation on models, guides, and concepts.

Community
Basic