BuildChatbot for Openclaw

A professional integration that allows developers to programmatically manage BuildChatbot data, conversation flows, and agents through a secure CLI.

membranedev
v1.0.2
Apr 30, 2026
0
384
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install buildchatbot

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is BuildChatbot?

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.

BuildChatbot Use Cases

  • Synchronizing external business data with chatbot datasets for real-time accuracy.
  • Programmatically updating chatbot flows and nodes based on user feedback or external triggers.
  • Managing multiple chatbot agents across different client accounts or departments.
  • Automating the extraction of lead generation data for analysis in external tools.
  • Monitoring and querying chatbot status and configurations through CLI-based workflows.

How BuildChatbot Works

  1. The user installs the Membrane CLI to provide a standardized interface for interacting with Openclaw Skills.
  2. Authentication is performed via a tenant-based login that supports various agent types like openclaw or claude.
  3. A connection is established to the BuildChatbot domain, prompting the user for necessary OAuth permissions.
  4. The skill polls the connection status until it is ready, handling any required client-side actions automatically.
  5. Users discover specific functionality by searching for actions based on natural language intent.
  6. Actions are executed with JSON inputs, or custom requests are proxied directly to the BuildChatbot API with handled headers.

BuildChatbot Setup

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

BuildChatbot Data Schema & Taxonomy

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.

BuildChatbot Advanced Features

  • Natural language intent searching to find the exact API actions needed without reading docs.
  • Secure server-side credential management that removes the need to handle local API keys.
  • Transparent API proxying that automatically injects authentication headers and base URLs.
  • Machine-readable JSON output for all commands, enabling advanced shell scripting and multi-agent orchestration.
  • Built-in support for long-polling connection states to ensure robust automation initialization.

SKILL.md


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