How does this skill help with LLM development?

It provides standardized patterns to wrap AI model responses into ReadableStreams and SSE events, allowing your frontend to display tokens as they are generated rather than waiting for the full response.

When should I use SSE instead of WebSockets?

SSE is preferred for one-way server-to-client updates (like LLM responses or notifications) because it is simpler to implement over HTTP and has built-in automatic reconnection. WebSockets are better for bidirectional needs like gaming or chat.

Why is the Python 'aclosing' pattern included?

In Python 3.10+, async generators can leak resources if they aren't properly closed during exceptions. The 'aclosing' pattern ensures that database connections or API streams are always cleaned up safely.

Does this skill work with modern frameworks?

Yes, it includes specific code patterns for Next.js Route Handlers, TypeScript, and Python backends, making it compatible with the most popular production stacks.

Streaming API Patterns

Name: Streaming API Patterns
Author: yonatangross

byyonatangross

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API Development

Implements production-ready real-time data streaming patterns using SSE, WebSockets, and ReadableStream for high-performance applications.

This skill provides a comprehensive toolkit for developers building real-time, event-driven applications within Claude Code. It covers essential implementation patterns for Server-Sent Events (SSE), bidirectional WebSockets, and advanced ReadableStream handling to manage backpressure effectively. Designed for modern stacks like Next.js and FastAPI, it includes specialized patterns for LLM token streaming (ChatGPT-style) and critical resource management techniques, such as the Python 'aclosing' pattern, to ensure memory-safe and leak-proof production environments.

Key Features

0169 GitHub stars

02Robust reconnection strategies featuring exponential backoff and heartbeat mechanisms.

03Production-grade Server-Sent Events (SSE) for one-way server-to-client notification streams.

04Full-duplex WebSocket patterns for bidirectional communication in chat and collaborative tools.

05Efficient LLM response streaming patterns for real-time AI chat interfaces.

06Resource-safe Python async generator patterns using 'aclosing' to prevent memory leaks.

Use Cases

01Implementing live data dashboards for financial analytics or system monitoring.

02Developing real-time LLM chat interfaces with token-by-token response rendering.

03Building collaborative editors or multi-user communication platforms requiring low latency.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit streaming-api-patterns

For use in Claude.ai and ChatGPT

Download Skill