chravel-gemini-live-debug

Debug and implement Gemini API and Gemini Live voice integration in Chravel.

2|1|Updated Jun 21, 2025
One-click install
npx skills add https://github.com/MeechYourGoals/Chravel --skill chravel-gemini-live-debug
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chravel-gemini-live-debug
Source: https://github.com/MeechYourGoals/Chravel/tree/main/.claude/skills/chravel-gemini-live-debug
Command: npx skills add https://github.com/MeechYourGoals/Chravel --skill chravel-gemini-live-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps debug and implement Gemini API integrations, including the Gemini Live voice feature, within the Chravel application, ensuring smooth AI concierge and voice interaction experiences.

Core Features & Use Cases

  • Gemini API Debugging: Troubleshoot issues related to model names, authentication, rate limits, and request formatting.
  • Voice Integration: Resolve problems with WebSocket lifecycle, audio processing, and session management for Gemini Live.
  • Function Calling & Grounding: Debug tool definition mismatches, response parsing, and grounding widget rendering.
  • Use Case: If the AI concierge is not responding correctly or the voice chat feature is experiencing errors, this Skill provides the necessary guidance to identify and fix the root cause.

Quick Start

Use the chravel-gemini-live-debug skill to troubleshoot why the voice chat feature is not working.

Frequently Asked Questions about chravel-gemini-live-debug

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

FAQPage Schema
How do I debug Gemini Live voice integration when the WebSocket connection drops?

Debug Gemini API errors by verifying model names, checking authentication credentials, reviewing rate limits, and ensuring proper request formatting for multimodal content and function calling operations.

What is the best way to fix function calling mismatches in the Vertex AI Live API?

Fix Vertex AI Live API function calling mismatches by analyzing tool definitions, validating response parsing logic, and checking grounding widget rendering against the API reference architecture.

Why does my Gemini AI concierge fail to process multimodal content correctly?

Your Gemini AI concierge fails to process multimodal content when Supabase functions have incorrect Gemini SDK configurations or request formatting issues within the application architecture.

Do I need Supabase functions to implement Gemini Live voice chat features?

You need Supabase functions to implement Gemini Live voice chat features because they manage backend session orchestration, authenticate API requests, and interface directly with the Vertex AI Live API.