A comprehensive B2B lead tracking and visitor identification skill that helps AI agents qualify prospects and monitor website activity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install leadboxer
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 leadboxer 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 LeadBoxer?
LeadBoxer is a specialized B2B website visitor tracking and lead generation tool that empowers sales and marketing teams to identify and qualify potential customers in real-time. By monitoring website activity, it transforms anonymous traffic into actionable lead data, providing deep insights into buyer intent. Integrating this technology with Openclaw Skills allows your AI agents to programmatically access visitor profiles, enrich company data, and personalize outreach strategies based on actual behavioral data. This skill bridges the gap between raw web traffic and CRM-ready lead intelligence, ensuring your sales pipeline is always fueled by data-driven insights.
LeadBoxer Use Cases
- Identifying high-intent B2B leads through real-time website visitor tracking.
- Enriching lead profiles by performing automated domain and IP address lookups.
- Managing lead segments and tags to streamline sales workflows.
- Automating lead assignment to specific team members based on activity or firmographic data.
- Retrieving detailed lead session history to understand the customer journey before initial contact.
How LeadBoxer Works
- The AI agent utilizes the Membrane CLI to establish a secure connection with the LeadBoxer platform without handling raw API keys.
- Using the Openclaw Skills framework, the agent searches for relevant actions such as listing leads or looking up domains based on natural language intent.
- The system authenticates the request and interacts with the LeadBoxer API to retrieve or update data objects like Leads, Organizations, or Segments.
- For specialized requirements, the agent can use the proxy request feature to communicate directly with any LeadBoxer endpoint while maintaining secure authentication.
- The retrieved lead intelligence is then processed by the agent to make informed decisions or trigger downstream sales automations.
LeadBoxer Setup
Install the Membrane CLI to manage your integrations:
npm install -g @membranehq/cli@latest
Authenticate your environment for Openclaw Skills:
membrane login --tenant --clientName=openclaw
Establish a connection to the LeadBoxer service:
membrane connection ensure "https://www.leadboxer.com/" --json
Follow the provided URL to complete the browser-based authentication. Once the state is READY, you can begin running lead generation actions.
LeadBoxer Data Schema & Taxonomy
The skill organizes LeadBoxer data into several key entities to ensure structured lead management:
| Entity | Description |
|---|---|
| Lead | The primary record representing a potential customer and their activity. |
| Organization | Firmographic data including industry, company size, and address details. |
| Segment | Dynamic groups of leads filtered by specific behavior or criteria. |
| Session | A collection of events representing a single visit to the website. |
| Event | Individual actions taken by a lead, such as page views or form submissions. |
| Dataset | The container for your tracking data and lead lists. |
LeadBoxer Advanced Features
- Natural language intent discovery to find the most efficient action for any lead management task.
- Automated credential management and token refresh through the Membrane secure proxy.
- Headless environment support for server-side or containerized AI agent deployments.
- Direct API proxying to access niche LeadBoxer features while maintaining Openclaw Skills security standards.
- Real-time polling and wait flags for handling asynchronous connection building and lead processing.
SKILL.md
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