How does it handle user and page context?

It utilizes a custom fetch interceptor on the frontend to inject metadata—such as user IDs or page headings—into the request body, which the backend then extracts for the AI model.

Does this skill support Next.js implementations?

Yes, it includes specific patterns for Next.js, including httpOnly cookie proxies and optimized script loading strategies for web components.

What is ChatKit used for in this skill?

ChatKit provides the foundational components and hooks for building interactive AI chat interfaces on the frontend and managing the response lifecycle on the backend.

Is this skill suitable for secure enterprise applications?

Absolutely. It focuses on security-audited patterns including JWT/JWKS verification and secure credential handling within the MCP protocol.

AI Chat Interface Builder

Name: AI Chat Interface Builder
Author: aiskillstore

byaiskillstore

•

114

API Development

Implements production-ready AI chat interfaces with secure backend integration, authentication, and context-aware messaging.

About

This skill provides a comprehensive framework for developing robust AI chat applications using ChatKit. It covers the full development lifecycle, from setting up Python-based backends with ChatKitServer to implementing React frontends with the useChatKit hook. Key capabilities include managing conversation persistence, handling complex authentication flows like httpOnly cookie proxies and JWT, and injecting rich user or page context into AI requests to ensure highly personalized and context-aware agent interactions.

Key Features

Seamless Model Context Protocol (MCP) tool authentication and credential passing
Advanced authentication handling including JWT, JWKS, and httpOnly cookie proxies
Automated page and user context injection for personalized AI responses
Scalable database persistence for long-term conversation history management
114 GitHub stars
Full-stack ChatKit integration patterns for React and Python

Use Cases

Developing custom chat backends that require strict auth header injection and proxying
Building a secure, enterprise-ready AI chat widget for a Next.js application
Implementing an AI agent that remembers user history and understands current page content

About

Key Features

Seamless Model Context Protocol (MCP) tool authentication and credential passing
Advanced authentication handling including JWT, JWKS, and httpOnly cookie proxies
Automated page and user context injection for personalized AI responses
Scalable database persistence for long-term conversation history management
114 GitHub stars
Full-stack ChatKit integration patterns for React and Python

Use Cases

Developing custom chat backends that require strict auth header injection and proxying
Building a secure, enterprise-ready AI chat widget for a Next.js application
Implementing an AI agent that remembers user history and understands current page content