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Official Verified communication Safety 4/5

feishu-group-mention-responder

在飞书群中,当机器人被@提及或接收到直接消息时,自动进行回复。

Why use this skill?

Automate your team communication in Feishu with the OpenClaw mention responder. Easily configure your AI agent to auto-reply to @mentions and direct messages.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/lorpha/feishu-group-mention-responder
Or

What This Skill Does

The feishu-group-mention-responder is a powerful automation utility for the OpenClaw AI agent, specifically designed to bridge the gap between AI intelligence and team collaboration platforms like Feishu (Lark). This skill enables the agent to actively monitor and interpret incoming messages within Feishu group chats or direct message threads. When the agent detects that it has been explicitly @mentioned, or when it receives a direct message, it triggers a sophisticated response mechanism. The skill automatically parses the sender's identity, maintains conversation context, and formulates a polite, relevant response that includes an @mention back to the user, ensuring a natural conversational flow.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/lorpha/feishu-group-mention-responder

Ensure that your OpenClaw environment is properly authenticated with your Feishu application credentials before attempting to run the skill. You must also verify that your Feishu bot has the appropriate scopes, specifically im:message:send_as_bot and im:chat:read, to interact with group participants.

Use Cases

  • Automated Help Desk: Use the agent to provide instant answers to common team questions in public project channels.
  • Meeting Coordination: Allow the agent to respond to scheduling polls or availability checks directly in group threads.
  • Team Engagement: Deploy the agent as a "greeter" to welcome new members or provide project status updates whenever a team lead pings it.
  • Operational Alerts: Trigger the agent to acknowledge critical system notifications that team members have flagged for its attention.

Example Prompts

  1. "@BotName Can you summarize the key action items from our project plan?"
  2. "@BotName What is the current status of the staging server deployment?"
  3. "@BotName Please draft a follow-up email based on the notes shared in this chat."

Tips & Limitations

To ensure optimal performance, keep the following in mind:

  • Permissioning: Without the correct Feishu API scopes, the agent will remain silent; always check your developer console.
  • Avoid Loops: The skill includes internal checks to prevent recursive replies, but be cautious if your response contains the agent's own mention trigger.
  • Identification: Ensure your agent's internal configuration matches its Feishu bot display name to avoid missed mentions.
  • Content Length: While the skill supports varied responses, keep messages concise for the best mobile experience in Feishu.
  • Future Proofing: This skill acts as a foundation; you can easily extend the _process_message logic to trigger specialized workflows based on keyword recognition within the content.

Metadata

Author@lorpha
Stars1601
Views1
Updated2026-02-27
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-lorpha-feishu-group-mention-responder": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#feishu#communication#automation#collaboration#bot
Safety Score: 4/5

Flags: external-api