google-gemini-api

Integrate Google Gemini API with the current @google/genai SDK for text generation and multimodal processing.

961|99|Updated Oct 20, 2025

Search Tags:#streaming #gemini api #function calling #thinking mode #multimodal ai

Ready to run

npx skills add https://github.com/jezweb/claude-skills --skill google-gemini-api

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: google-gemini-api
Source: https://github.com/jezweb/claude-skills/tree/main/skills/google-gemini-api
Command: npx skills add https://github.com/jezweb/claude-skills --skill google-gemini-api

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @google/genai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill eliminates the confusion and errors when integrating Google's Gemini API, ensuring you use the current SDK and accurate model information to save development time.

Core Features & Use Cases

SDK Migration: Automatically prevents using the deprecated @google/generative-ai package.
Multimodal AI: Process text, images, video, audio, and PDFs in a single API call.
Use Case: When building a customer support chatbot that needs to analyze uploaded images and documents while providing real-time information.

Quick Start

Use the google-gemini-api skill to generate text using the Gemini 2.5 Flash model with proper SDK integration.

Quick Start

Use the google-gemini-api skill to create a text generation API endpoint that uses the correct @google/genai SDK to explain quantum computing in simple terms.

Frequently Asked Questions about google-gemini-api

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

FAQPage Schema

How do I integrate Google Gemini API into my application?▼

Integrate Google Gemini API using the @google/genai SDK to enable text generation, multimodal processing, and function calling. The current SDK replaces the deprecated @google/generative-ai package and supports streaming, thinking mode, and parallel function calls across web, edge, and cached deployment scenarios.

Can I use Gemini API for multimodal AI tasks like processing images and video?▼

Yes, Gemini API processes text, images, video, audio, and PDFs in single API calls. This multimodal capability suits use cases like customer support chatbots analyzing uploaded documents and images while delivering real-time responses.

What's the best way to migrate from the deprecated generative-ai package to current Gemini SDK?▼

Migrate to @google/genai to access the latest Gemini models and features including streaming, multimodal inputs, thinking mode, and parallel function calling. The deprecated @google/generative-ai package no longer receives updates for new model capabilities.

Does Gemini API support streaming and real-time text generation?▼

Gemini API supports streaming for real-time text generation and response delivery. Combined with function calling and thinking mode, streaming enables responsive AI applications across Phase 1 and Phase 2 scenarios including edge deployments on Cloudflare Workers.

Can I use Gemini API with function calling and context caching for production deployments?▼

Gemini API supports function calling, context caching with explicit version suffixes, code execution, and grounding with Google Search. These features enable production-ready AI applications with optimized performance and reduced latency across web and edge environments.

What are the limitations when using Gemini API for parallel function calls?▼

Gemini API supports parallel function calling within a single request, enabling concurrent execution of multiple functions. Ensure proper error handling and timeout management when executing functions in parallel, particularly in edge deployments with constrained resources.