A professional integration that allows developers to programmatically manage BuildChatbot data, conversation flows, and agents through a secure CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install buildchatbot
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 buildchatbot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
BuildChatbot is a comprehensive platform for creating and deploying sophisticated chatbots without the need for traditional coding. It is widely used by businesses to automate customer service, streamline lead generation, and enhance internal communications. This specific skill for Openclaw Skills bridges the gap between the BuildChatbot platform and your development environment.
By leveraging the Membrane framework, this skill provides a robust interface to interact with chatbots, datasets, and conversation flows. It eliminates the complexity of manual authentication by handling credential refreshes and secure token management automatically. Whether you are updating datasets or manipulating complex flow nodes, this tool ensures your automation logic remains clean and efficient.
Install the required CLI tool globally:
npm install -g @membranehq/cli@latest
Log in to your account and specify your agent type:
membrane login --tenant --clientName=openclaw
Establish a connection to the platform:
membrane connection ensure "https://buildchatbot.ai/" --json
If the connection is building, wait for it to reach the ready state:
membrane connection get <id> --wait --json
The skill interacts with the BuildChatbot environment using a hierarchical data structure. Below are the primary entities managed through this Openclaw Skills integration:
| Entity | Components | Description |
|---|---|---|
| Chatbot | Dataset, Flow, Agent | The primary container for bot logic and data. |
| Dataset | Column | Structured data used by the bot to provide responses. |
| Flow | Node | The conversational logic mapping out user interactions. |
| Agent | - | The specific bot identity executing the automation. |
| User | - | The end-user interacting with the chatbot system. |
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