A powerful integration skill that enables AI agents to build, train, and manage Chatbase chatbots through the Membrane CLI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chatbase
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install chatbase 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 Chatbase Integration Skill?
The Chatbase skill for Openclaw Skills provides a seamless bridge between your AI agent and the Chatbase platform. It allows developers to programmatically manage chatbot data, monitor analytics, and handle messaging workflows without manually managing complex authentication or API headers. By leveraging Membrane, this skill ensures that all interactions are secure, authenticated, and optimized for low token usage.
Whether you are building a customer support bot or a knowledge base assistant, this Openclaw Skills integration simplifies the lifecycle of AI-driven communication. It handles the heavy lifting of credential management, allowing you to focus on high-level logic and data interaction rather than the underlying plumbing of the Chatbase API.
Chatbase Integration Skill Use Cases
- Automating the training of chatbots using new website content or documentation.
- Retrieving and analyzing chat messages for customer sentiment or common FAQs.
- Programmatically managing Chatbase API keys and chatbot configurations.
- Building custom support dashboards that pull real-time analytics from Chatbase.
- Triggering chatbot updates or data refreshes via CLI-based workflows.
How Chatbase Integration Skill Works
- The AI agent initiates a connection to the Chatbase platform using the Openclaw Skills framework and Membrane CLI.
- Authentication is handled via a secure OAuth or API key flow, resulting in a ready-to-use connection ID.
- The agent searches for specific actions (like sending messages or updating data) using natural language intent discovery.
- Actions are executed through the Membrane proxy, which automatically injects required headers and handles credential refreshes.
- The agent processes the JSON output from Chatbase to complete the user's requested task.
Chatbase Integration Skill Setup
First, install the Membrane CLI to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
Log in to your tenant and specify your agent type:
membrane login --tenant --clientName=openclaw
Create a connection to Chatbase:
membrane connection ensure "https://chatbase.com/" --json
Chatbase Integration Skill Data Schema & Taxonomy
The skill organizes data around the Chatbase API structure, primarily focusing on chatbots and messaging metrics. Use Openclaw Skills to interact with the following entities:
| Entity | Description |
|---|---|
| Chatbots | Metadata and configuration for specific AI bot instances. |
| Messages | History and content of interactions between users and the bot. |
| Analytics | Performance metrics and usage statistics for the chatbot. |
| Connections | Managed authentication states (READY, BUILDING, etc.) handled by Membrane. |
Chatbase Integration Skill Advanced Features
- Natural Language Action Discovery: Find the right API call by describing your intent instead of browsing documentation.
- Automated Credential Refresh: Openclaw Skills via Membrane handle token expiration silently in the background.
- Direct Proxy Requests: Access any Chatbase endpoint not covered by pre-built actions with automatic header injection.
- Multi-Agent Support: Tailored tooling adjustments for agents like Claude, Codex, and Openclaw.
- Headless Authentication: Support for server-side or remote environments using authorization codes.
SKILL.md
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