llm-streaming-response-handler

What problem does it solve?

This Skill addresses the challenge of building responsive and engaging user interfaces for Large Language Model (LLM) interactions by enabling real-time streaming of responses.

Core Features & Use Cases

• Real-time Token Display: Shows LLM output as it's generated, creating a dynamic "typing" effect.
• Server-Sent Events (SSE): Leverages SSE for efficient, one-way streaming from server to client.
• Cancellation & Error Recovery: Implements mechanisms to stop generation mid-stream and handle network or API errors gracefully.
• Use Case: Building a chatbot interface where user messages appear instantly, or a code generation tool that displays code snippets as they are produced by the LLM.

Quick Start

Use the llm-streaming-response-handler skill to implement a real-time token display for LLM responses using Server-Sent Events.