dingtalk-channel-rules

Format DingTalk messages and AI Card responses with Markdown and routing conventions.

2.1k|210|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/DingTalk-Real-AI/dingtalk-openclaw-connector --skill dingtalk-channel-rules
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dingtalk-channel-rules
Source: https://github.com/DingTalk-Real-AI/dingtalk-openclaw-connector/tree/main/skills/dingtalk-channel-rules
Command: npx skills add https://github.com/DingTalk-Real-AI/dingtalk-openclaw-connector --skill dingtalk-channel-rules

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It provides consistent formatting and interaction rules for DingTalk sessions, ensuring clear communication and reliable AI behavior.

Core Features & Use Cases

  • Messaging Standards: Establishes writing style, message formatting, and response patterns for DingTalk AI interactions.
  • Template Enforcement: Guides the generation of Markdown and AI Card responses, maintaining unified message presentation.
  • Use Case: When deploying a DingTalk AI assistant, these rules ensure responses are concise, well-structured, and aligned with user expectations, regardless of conversation context.

Quick Start

Apply these rules to manage the DingTalk chat output by code or configuration to ensure standardized and efficient communication.

Frequently Asked Questions about dingtalk-channel-rules

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

FAQPage Schema
How do I standardize DingTalk AI chatbot message formatting?

To standardize DingTalk AI chatbot message formatting, apply unified rules for Markdown and AI Card responses. This enforces consistent writing style, response length, and interaction protocols across all communication sessions.

What are Markdown and AI Card standards for DingTalk chatbots?

Markdown and AI Card standards for DingTalk chatbots define the structure, style, and routing conventions for AI responses. They ensure message presentation is clear, concise, and aligned with user expectations.

How to set response length and interaction rules for DingTalk AI sessions?

Set response length and interaction rules for DingTalk AI sessions by configuring chat rules that specify message formatting and interaction protocols. This ensures reliable AI behavior and well-structured outputs.

Can I use these rules to generate AI Card responses in DingTalk?

Yes, you can use these rules to guide the generation of AI Card responses in DingTalk. They maintain unified message presentation and ensure outputs are well-structured regardless of conversation context.

Do I need to configure routing conventions for DingTalk message formatting?

Yes, DingTalk message formatting requires adherence to routing conventions for reliable operation. Configuring these conventions ensures standardized and efficient communication for AI chatbots.

Why does my DingTalk AI assistant output inconsistent messages?

DingTalk AI assistants output inconsistent messages when chat rules lack unified formatting standards. Implementing Markdown and AI Card templates enforces consistent message presentation and resolves alignment issues.