lark-event

To consume real-time Lark events, you use lark-cli event commands to stream incoming messages and chat changes as NDJSON. This allows automated chatbot workflows to process events directly without building custom webhook listeners.

The best way to filter Lark message streams is by applying jq filtering to the NDJSON event stream. You can inspect available event keys and schemas first, then extract precise fields to isolate specific reactions or chat membership changes.

Yes, lark-cli supports long-running event subscribers that continuously monitor chat membership tracking and reaction handling. It manages the subprocess lifecycle to keep the real-time event streaming active for automated collaboration workflows.

No, you do not need to build a custom webhook listener to process Feishu bot messages. This Skill uses schema-driven processing and NDJSON streaming to handle incoming events directly, bypassing the need for custom webhook infrastructure.

You inspect available event schemas by using the schema inspection capabilities of the lark-cli event commands. This reveals the available event keys, allowing you to apply precise jq filtering and field extraction before processing the NDJSON stream.