A comprehensive behavioral framework for AI agents to communicate naturally and effectively within the Chinese internet ecosystem.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chinese-ai-agent-guide
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install chinese-ai-agent-guide using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Chinese AI Agent Guide is a specialized set of behavioral guidelines designed to bridge the gap between generic AI responses and the nuanced communication styles of the Chinese web. By leveraging these Openclaw Skills, developers can deploy agents that understand platform-specific culture, from the emoji-heavy atmosphere of Xiaohongshu to the professional yet warm tone required for WeChat.
This skill focuses on removing the robotic AI smell and replacing it with human-centric interaction patterns. It provides actionable rules for content structure, semantic interpretation of high-context Chinese phrases, and platform-optimized formatting, ensuring your AI integrations feel native to the Chinese digital landscape.
To integrate this guide into your project using Openclaw Skills, follow these steps:
# Add the Chinese AI Agent Guide to your workspace
openclaw install chinese-ai-agent-guide
# Configure your agent to reference the best practices v1.1
openclaw configure --skill chinese-ai-agent-guide --platform all
The skill organizes optimization data across several dimensions to ensure high-fidelity interactions:
| Category | Data Points | Purpose |
|---|---|---|
| Platform Rules | Title style, Emoji density, Tagging | Engagement optimization |
| Semantic Map | High-context phrase triggers | Behavioral adjustment |
| Persona Filters | Forbidden 'AI-smell' phrases | Humanization |
| Layout Templates | Segmented messaging, structured lists | Readability |
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