A high-performance chatbot construction toolkit optimized for Chinese language scenarios and multi-platform deployment within the OpenClaw ecosystem.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-chatbot-builder
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 openclaw-chatbot-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The OpenClaw Chatbot Builder is a specialized development framework designed to create and manage intelligent AI agents. As a key component of the Openclaw Skills library, it offers deep optimization for Chinese language processing and seamless integration with major communication platforms like WeChat, DingTalk, and Telegram. This tool enables developers and enterprises to bridge the gap between complex AI models and user-facing applications.
By leveraging this skill, users can transform raw AI capabilities into actionable business tools. It focuses on maximizing return on investment by automating repetitive interactions and providing intelligent data analysis, making it an essential asset for teams looking to scale their digital presence with minimal overhead.
To get started with the OpenClaw Chatbot Builder, follow these installation steps:
# Install the chatbot builder module
openclaw install chatbot-builder
# Configure platform credentials for WeChat or DingTalk
openclaw config set-credentials --platform wechat --api-key YOUR_API_KEY
# Initialize a new agent project
openclaw init my-ai-agent
# Deploy the agent to production
openclaw deploy
The skill organizes data through a structured taxonomy to ensure cross-platform compatibility:
| Data Type | Description | Storage Format |
|---|---|---|
| Bot Identity | Core persona and system prompts | JSON/YAML |
| Platform Connectors | Webhook URLs and API authentication tokens | Encrypted Env |
| Interaction History | Logs of user queries and AI responses | SQLite |
| Processing Templates | Schemas for multi-format output and batch tasks | Markdown |
| Analytics | ROI and efficiency metrics | CSV/JSON |
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