gemini-live-api

Build real-time audio and video apps via WebSocket streaming with Gemini API.

1|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/FutureAtoms/claude-skills-backup --skill gemini-live-api-futureatoms
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-live-api
Source: https://github.com/FutureAtoms/claude-skills-backup/tree/main/gemini-live-api
Command: npx skills add https://github.com/FutureAtoms/claude-skills-backup --skill gemini-live-api-futureatoms

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables the creation of real-time audio and video applications by leveraging WebSocket streaming and advanced AI capabilities, simplifying complex integrations.

Core Features & Use Cases

  • Real-time Streaming: Build applications with low-latency bi-directional communication using WebSockets.
  • Multi-modal Input/Output: Process and generate both audio and text in real-time.
  • Voice Activity Detection: Automatically detect speech for more natural interactions.
  • Use Case: Develop a live customer support chatbot that can understand spoken queries and respond with synthesized speech, or create a real-time video analysis tool that provides spoken descriptions of the visual content.

Quick Start

Use the gemini-live-api skill to establish a WebSocket connection and send a text message for a real-time conversation.

Frequently Asked Questions about gemini-live-api

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

FAQPage Schema
How do I build a real-time audio streaming application using WebSockets?

To build real-time audio streaming applications, establish a WebSocket connection for low-latency bi-directional communication. This approach supports multi-modal input and output, allowing you to process and generate audio in real time.

Can I use Python and JavaScript for both client and server-side WebSocket implementations?

Yes, you can integrate Python and JavaScript for both client and server-side WebSocket implementations. This allows flexible development of real-time audio and video applications with secure, low-latency bi-directional communication.

How does voice activity detection work in real-time video analysis tools?

Voice activity detection in real-time video analysis tools automatically identifies speech within the audio stream. This enables more natural interactions by triggering AI processing only when speech is detected over the WebSocket connection.

What is the best way to manage sessions and secure real-time audio apps?

The best way to secure real-time audio apps is through ephemeral token generation. This method manages sessions securely, ensuring safe, low-latency bi-directional communication across your WebSocket streaming infrastructure.

When do I need WebSocket streaming for AI audio and video processing?

You need WebSocket streaming for AI audio and video processing when building applications requiring low-latency bi-directional communication. It is essential for live use cases like customer support chatbots that understand spoken queries and respond with synthesized speech.