An advanced integration skill that enables AI agents to manage LiveChat conversations, agents, and reports through the Membrane protocol.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install livechat
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 livechat 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 LiveChat for Openclaw?
The LiveChat skill for Openclaw Skills provides a robust bridge between AI agents and the LiveChat customer service platform. By leveraging the Membrane framework, this skill allows developers to build agents that can interact with real-time chat data, manage agent workflows, and generate support reports without the complexity of manual authentication.
This integration is designed for support, sales, and marketing teams who need to provide immediate assistance. It abstracts away the heavy lifting of OAuth and credential refreshing, allowing Openclaw Skills to focus on the logic of customer interaction and data analysis.
LiveChat for Openclaw Use Cases
- Automated management of customer conversations and agent assignments.
- Retrieving and analyzing chat reports for support performance tracking.
- Programmatic creation and retrieval of canned responses for faster support.
- Real-time monitoring of active chat sessions and message history.
How LiveChat for Openclaw Works
- The Openclaw Skills agent initializes a connection via the Membrane CLI using the LiveChat domain.
- Membrane handles the OAuth handshake and credential storage securely server-side.
- The agent searches for specific capabilities (e.g., list messages) using natural language intent discovery.
- Actions are executed through the Membrane proxy, which automatically injects required headers and handles API pagination.
- LiveChat data is returned to the agent in a structured format for processing or user delivery.
LiveChat for Openclaw Setup
First, install the Membrane CLI to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
Authenticate your agent environment:
membrane login --tenant --clientName=openclaw
Create a connection to your LiveChat account:
membrane connection ensure "https://www.livechat.com/" --json
LiveChat for Openclaw Data Schema & Taxonomy
The skill organizes LiveChat entities into a hierarchical structure accessible via standardized actions:
| Entity | Description |
|---|---|
| Agent | Details regarding support staff and their status |
| Conversation | The primary container for chat sessions and metadata |
| Message | Individual chat entries within a conversation |
| Canned Response | Pre-defined snippets for rapid communication |
| Report | Analytical data regarding chat volume and performance |
LiveChat for Openclaw Advanced Features
- Intent-based Action Discovery: Use natural language to find the right LiveChat API function without reading docs.
- Transparent Proxy Requests: Direct API access via
membrane requestwith automatic auth injection for edge cases. - Automated Credential Refresh: Zero-maintenance authentication that keeps Openclaw Skills connected indefinitely.
- Headless Authentication Support: Easy setup for remote servers and CI/CD environments.
SKILL.md
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