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ai-chat

Create real-time streaming chat interfaces with PostgreSQL persistence.

3|Updated Feb 14, 2026
Search Tags:#ai#next.js#session management#real-time#streaming#chat#postgres
One-click install
npx skills add https://github.com/mattwoodco/skills --skill ai-chat-mattwoodco
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-chat
Source: https://github.com/mattwoodco/skills/tree/main/skills/ai-chat
Command: npx skills add https://github.com/mattwoodco/skills --skill ai-chat-mattwoodco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a robust foundation for building real-time, streaming chat applications powered by AI, complete with user authentication, session management, and data persistence.

Core Features & Use Cases

  • Streaming Chat UI: Delivers a dynamic, real-time chat interface.
  • Postgres Persistence: Stores chat sessions and messages for history and retrieval.
  • Session Management: Allows users to create, view, and manage multiple chat conversations.
  • Composable Architecture: Designed for extension by other AI skills for advanced features like memory, tools, and reasoning.
  • Use Case: Integrate a customer support chatbot into your application that can maintain conversation history and leverage other AI skills for complex queries.

Quick Start

Use the ai-chat skill to add a streaming chat interface to your Next.js application.

Frequently Asked Questions about ai-chat

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

FAQPage Schema
How do I build a real-time AI chat interface with streaming responses in Next.js?▼

You can build a streaming chat interface using this Skill with Next.js App Router, ai-core for model streaming, and shadcn/ui components. It provides the core UI and streaming logic needed for real-time AI responses.

Does this AI chat Skill persist conversation history in PostgreSQL?▼

Yes, this Skill stores chat sessions and messages in PostgreSQL, allowing users to create, view, and manage multiple conversations with full history retrieval and persistence.

Can I integrate user authentication and session management into my streaming chat application?▼

Yes, this Skill includes integrated user authentication and session management. It requires an auth dependency to securely manage user identities and multiple chat conversations.

What dependencies do I need to set up the real-time chat architecture?▼

You need Next.js, App Router, ai-core, auth, Docker, and shadcn/ui to run this Skill. Docker manages the PostgreSQL database, while auth handles user login and session management.

How do I add memory and reasoning tools to a Next.js streaming chatbot?▼

This Skill features a composable architecture designed for extension by other AI skills. You can integrate downstream skills to add advanced capabilities like memory, tools, and reasoning to your chatbot.

Why use a composable architecture for an AI chat application?▼

A composable architecture allows you to extend the base chat application by integrating downstream AI skills. This enables advanced features like memory, external tools, and complex reasoning without modifying the core.

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