Tomba Contact Intelligence for Openclaw

Automate contact discovery, email verification, and company research directly within your AI agent workflows.

benemohamed
v1.0.0
Apr 2, 2026
1
706
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install tomba-contact-intelligence

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Tomba Contact Intelligence?

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.

Tomba Contact Intelligence Use Cases

  • Finding the best person to contact at a specific company based on department or role.
  • Guessing and verifying corporate email addresses to reduce bounce rates and improve outreach.
  • Enriching existing leads with detailed company information and contact profile data.
  • Locating phone numbers associated with emails, domains, or LinkedIn profiles for multi-channel sales.
  • Conducting competitive research through technology stack analysis and similar domain discovery.
  • Building targeted company lists using granular filters like industry, size, location, and revenue.

How Tomba Contact Intelligence Works

  1. The AI agent receives a prompt regarding a specific professional person, company, or domain.
  2. The agent selects the most appropriate tool from the Tomba suite, such as email_finder or domain_search, based on available input.
  3. The skill queries the Tomba API securely using the configured environment credentials.
  4. Results are often passed through a secondary verification step (email_verifier) to ensure high data confidence.
  5. The agent synthesizes the raw contact data into a concise, decision-oriented report for the user, distinguishing between confirmed and inferred data.

Tomba Contact Intelligence Setup

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.

Tomba Contact Intelligence Data Schema & Taxonomy

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

Tomba Contact Intelligence Advanced Features

  • Multi-step lead verification pipelines that automatically cross-reference search results with live verification status.
  • Automated competitor mapping using technology_finder and similar_finder to identify market alternatives.
  • LinkedIn-to-email conversion workflows via direct URL processing with linkedin_finder.
  • Bulk company prospecting using market filters like geography and revenue to build high-intent account lists.
  • Deep author discovery that finds contact information for content creators via article URLs.

SKILL.md


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