live-chat

Name: live-chat
Availability: InStock
Author: fmbp1981-hash

Manage customer support interactions across Webchat, WhatsApp, Instagram DM, and Telegram channels.

Updated Dec 13, 2025

Search Tags:#customer support #omnichannel #customer interaction #human handoff #AI chatbot

Ready to run

npx skills add https://github.com/fmbp1981-hash/cavendish-gig --skill live-chat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: live-chat
Source: https://github.com/fmbp1981-hash/cavendish-gig/tree/main/.claude/plugins/intellix-plugin/skills/live-chat
Command: npx skills add https://github.com/fmbp1981-hash/cavendish-gig --skill live-chat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires next, react, typescript, tailwindcss, supabase-js, framer-motion, lucide-react, zod, react-hook-form, date-fns, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive omnichannel customer support system with AI and human handoff capabilities, streamlining communication and enhancing efficiency.

Core Features & Use Cases

Omnichannel Support: Integrates with Webchat, WhatsApp, Instagram DM, Telegram, and other channels for a unified customer support experience.
AI Agent: Offers automated, AI-powered customer support with context-preserving handoffs to human agents.
Human Handoff: Enables seamless transitions between AI and human agents, ensuring continuity in customer interactions.
Use Case: For businesses seeking a centralized support system to manage interactions across multiple channels, this Skill provides an efficient solution.

Quick Start

To initiate a chat, use the 'live-chat' skill followed by the specific channel, e.g., 'live-chat webchat' or 'live-chat whatsapp'.

Frequently Asked Questions about live-chat

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

FAQPage Schema

How does human handoff work in an AI customer support chatbot?▼

Human handoff in AI customer support allows a chatbot to transfer a conversation to a live agent while preserving context. This ensures seamless continuity in customer interactions across multiple channels like webchat and WhatsApp.

How do I build an omnichannel customer support system for WhatsApp and Instagram DMs?▼

You can build an omnichannel customer support system by integrating various messaging platforms like WhatsApp, Instagram DM, and Telegram into a unified interface. This centralizes communication and streamlines interactions across diverse channels.

Does this customer support Skill work with React and Supabase for live chat?▼

Yes, this customer support Skill is built using React and Supabase. It leverages Supabase for backend data management and React with TypeScript to render the live chat interface and handle customer interactions.

Can I use an AI chatbot to manage customer interactions across multiple messaging platforms?▼

Yes, you can use an AI chatbot to manage customer interactions across multiple messaging platforms. The system offers automated, AI-powered support and handles communication for businesses with diverse support needs.

What is the best way to integrate a live chat system with AI assistance?▼

The best way to integrate live chat with AI assistance is using an omnichannel support system. It combines automated AI agent responses with context-preserving handoffs to human agents, streamlining communication and enhancing efficiency.