A powerful integration for managing Liveperson messaging data, agent workflows, and customer records through an AI-native interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install liveperson
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 liveperson 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 Liveperson?
The Liveperson skill for Openclaw Skills enables developers and AI agents to programmatically interact with the Liveperson platform. It provides a robust bridge to manage conversational data, messages, agent assignments, and skill queues without the traditional overhead of manual authentication plumbing. By leveraging this skill, teams can build smarter customer service automations that respond to real-time messaging events.
Built on the Membrane framework, this skill ensures that all interactions are secure and efficient. It abstracts the complexity of the Liveperson API, allowing AI agents to focus on the integration logic while Membrane handles the underlying connectivity and credential management automatically.
Liveperson Use Cases
- Automating responses to customer messages within the Liveperson platform.
- Syncing conversation history and agent performance data to external databases.
- Programmatically managing agent queues and skill assignments based on workload.
- Building custom AI-driven customer support bots that utilize Liveperson as the messaging backbone.
- Real-time monitoring of active conversation records for sentiment analysis or reporting.
How Liveperson Works
- The Membrane CLI is initialized and authenticated with a specific agent type to optimize tooling.
- A secure connection to the Liveperson domain is established, handling OAuth or API key exchanges server-side.
- The AI agent searches for specific actions (like sending a message or fetching a queue) using natural language intent discovery.
- Actions are executed through the Membrane proxy, which automatically injects required headers and manages token refreshes.
- Resultant data is returned in a structured JSON format for the AI agent to process or display to the user.
Liveperson Setup
First, install the Membrane CLI to enable Openclaw Skills functionality:
npm install -g @membranehq/cli@latest
Authenticate your environment by specifying your agent type:
membrane login --tenant --clientName=openclaw
Connect to your Liveperson instance:
membrane connection ensure "https://liveperson.com" --json
Liveperson Data Schema & Taxonomy
The skill organizes Liveperson entities into a structured hierarchy for easy access:
| Entity | Description |
|---|---|
| Conversation | Top-level object representing a customer interaction. |
| Message | Individual entries within a conversation thread. |
| Agent | Details of the human or bot user handling the chat. |
| Skill | Taxonomy used to route conversations to specific teams. |
| Queue | Real-time status of pending customer interactions. |
Liveperson Advanced Features
- Natural Language Action Discovery: Find the right API endpoint by simply describing your intent.
- Automated Credential Lifecycle: Zero-touch token refresh and secure server-side secret storage.
- Proxy Request Mode: Send raw HTTP requests to the Liveperson API while maintaining automatic authentication.
- Long-polling Connection States: Built-in wait mechanisms for handling asynchronous authentication flows.
- Multi-Agent Optimization: Tailored interaction patterns for different AI architectures including Claude, Codex, and Openclaw Skills.
SKILL.md
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