lark-event

Name: lark-event
Availability: InStock
Author: liutao96

Subscribe to Feishu events via WebSocket and emit NDJSON to stdout.

Updated Feb 14, 2026

Search Tags:#real-time #websocket #feishu #ndjson #lark-cli #event-subscription

Ready to run

npx skills add https://github.com/liutao96/skill --skill lark-event-liutao96

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lark-event
Source: https://github.com/liutao96/skill/tree/main/lark-event
Command: npx skills add https://github.com/liutao96/skill --skill lark-event-liutao96

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Subscribes to Feishu events in real time using a WebSocket long connection, streaming NDJSON to stdout so you can build event-driven pipelines with low latency.

Core Features & Use Cases

Real-time event subscriptions via WebSocket long connection
NDJSON output to stdout for downstream processing
Regex routing and file output options to persist and organize events
Bot-only authentication and safety rules guided by lark-cli configuration

Quick Start

Start streaming events with lark-cli event +subscribe.

Frequently Asked Questions about lark-event

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

FAQPage Schema

How do I subscribe to Feishu events in real time using a WebSocket connection?▼

It streams Feishu event subscriptions via a WebSocket long connection, outputting NDJSON to stdout to build low-latency, event-driven pipelines for bot-driven workflows like message handling and contact updates.

How do I route and persist specific Feishu event streams to files?▼

You can route and persist Feishu event streams by applying regex routing rules to the NDJSON output, organizing and saving specific event types into files for downstream processing pipelines.

Do I need lark-cli and App credentials to receive Feishu event subscriptions?▼

Yes, operating real-time Feishu event subscriptions requires the lark-cli tool along with proper App credentials and permissions configured in the Feishu Open Platform to ensure secure bot authentication.

What downstream processing formats are supported for Feishu event data?▼

Feishu event data is emitted as NDJSON to stdout, allowing downstream event-driven pipelines to consume the structured stream for tasks like message handling, contact updates, and calendar changes.

Can I use this approach for bot-driven workflows like message handling and calendar changes?▼

Yes, this approach targets bot-driven workflows such as message handling, contact updates, and calendar changes by enabling robust event-driven pipelines and routing through the WebSocket stream.