llm-streaming
✓LLM streaming response patterns. Use when implementing real-time token streaming, Server-Sent Events for AI responses, or streaming with tool calls.
Installation
SKILL.md
| Protocol | SSE for web, WebSocket for bidirectional | | Buffer size | 50-200 tokens | | Timeout | 30-60s for long responses | | Retry | Reconnect on disconnect |
token-streaming Keywords: streaming, token, stream response, real-time, incremental Solves:
sse-responses Keywords: SSE, Server-Sent Events, event stream, text/event-stream Solves:
LLM streaming response patterns. Use when implementing real-time token streaming, Server-Sent Events for AI responses, or streaming with tool calls. Source: yonatangross/orchestkit.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/yonatangross/orchestkit --skill llm-streaming- Source
- yonatangross/orchestkit
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is llm-streaming?
LLM streaming response patterns. Use when implementing real-time token streaming, Server-Sent Events for AI responses, or streaming with tool calls. Source: yonatangross/orchestkit.
How do I install llm-streaming?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/orchestkit --skill llm-streaming Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/yonatangross/orchestkit
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01