feishu-channel-rules

Define channel output constraints for Feishu/Lark conversations.

Updated Dec 6, 2016
One-click install
npx skills add https://github.com/majunbao/learn --skill feishu-channel-rules-majunbao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feishu-channel-rules
Source: https://github.com/majunbao/learn/tree/main/openclaw-lark_tags/openclaw-lark-2026.4.13/skills/feishu-channel-rules
Command: npx skills add https://github.com/majunbao/learn --skill feishu-channel-rules-majunbao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Lark/Feishu channel output rules ensure consistent, concise, coworker-friendly communication across conversations.

Core Features & Use Cases

  • Provides a clear writing style guideline for Feishu/Lark channel messages.
  • Ensures messages are short, conversational, and to the point.
  • Serves as a reference for applying channel rules within Lark conversations and Feishu channels.

Quick Start

Apply these channel rules to every Feishu/Lark message to ensure concise, coworker-style communication.

Frequently Asked Questions about feishu-channel-rules

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

FAQPage Schema
How do I enforce consistent message tone in Feishu channels?

You can enforce consistent Feishu channel output by applying a self-contained rule set that specifies metadata structure and writing style guidelines, ensuring every message stays short and on point.

What are the guidelines for writing concise Lark chat messages?

Guidelines for writing concise Lark chat messages focus on producing short, conversational outputs that remain on point, applying a self-contained channel output guide to every response.

Can I apply channel output constraints across multiple Feishu conversations?

Yes, you can apply channel output constraints across multiple Feishu conversations by using an always-active rule set that enforces a concise, coworker-friendly tone in every Lark chat and Feishu channel.

Do I need any dependencies to set up conversational rules for Feishu?

No dependencies are required to set up conversational rules for Feishu. The skill uses a self-contained guide with internal references to enforce concise, coworker-friendly channel outputs without external components.

What is the best way to keep Feishu bot responses short and conversational?

The best way to keep Feishu bot responses short and conversational is to apply channel output constraints that mandate a concise, coworker-friendly tone across all Lark chats and Feishu channels.