Automate contact discovery, email verification, and company research directly within your AI agent workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tomba-contact-intelligence
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install tomba-contact-intelligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Tomba Contact Intelligence skill empowers your AI coding agent to perform high-precision lead generation and data enrichment tasks. By integrating Tomba's robust database, users can find professional email addresses, verify contact validity, and perform deep company research without leaving their development or chat interface. This integration is a core component of the Openclaw Skills ecosystem, designed to streamline sales, marketing, and recruiting workflows. It leverages multiple tools to ensure data accuracy, from simple domain searches to complex technology stack identification and competitor analysis, providing a seamless bridge between AI intelligence and real-world contact data.
To use this skill, you must provide your Tomba API credentials as environment variables. Add the following to your environment configuration:
export TOMBA_API_KEY="your_api_key_here"
export TOMBA_SECRET_KEY="your_secret_key_here"
Ensure the Tomba MCP server is active in your Openclaw Skills session to enable tool access.
The skill organizes contact and company data into structured formats for clear reporting. Key data points include:
| Data Type | Attributes Captured |
|---|---|
| Contact Data | Email address, Verification status, Confidence score, First/Last name, Job title |
| Company Data | Domain name, Employee count, Industry, Revenue, Technology stack, Location |
| Phone Data | Phone number, Carrier details, Phone type (mobile/landline), Validation status |
| Research Data | Similar domains, Author names from URLs, LinkedIn profile associations |
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