tomba-contact-intelligence
Use Tomba MCP tools for contact discovery, verification, enrichment, and company research.
Best use case
tomba-contact-intelligence is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use Tomba MCP tools for contact discovery, verification, enrichment, and company research.
Teams using tomba-contact-intelligence should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/tomba-contact-intelligence/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How tomba-contact-intelligence Compares
| Feature / Agent | tomba-contact-intelligence | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use Tomba MCP tools for contact discovery, verification, enrichment, and company research.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Tomba Contact Intelligence Use this skill when the user needs contact discovery, email verification, lead enrichment, phone lookup, domain research, company research, or technology/competitor analysis. This skill assumes the Tomba MCP server is already connected and the following tools are available in the session: - `domain_search` - `email_finder` - `email_verifier` - `email_enrichment` - `author_finder` - `linkedin_finder` - `phone_finder` - `phone_validator` - `email_count` - `similar_finder` - `technology_finder` - `companies_search` ## When To Use Use this skill for requests like: - find the best person to contact at a company - guess and verify an email address - enrich a lead with company and contact data - find phone numbers tied to an email, domain, or LinkedIn profile - research a domain's scale, technology, or similar competitors - build target company lists with industry, size, location, or revenue filters Do not use this skill for general web research that does not need Tomba data, or when the user is asking for unsupported actions such as sending emails. ## Tool Selection Choose tools based on the user's objective: - Use `email_finder` when you have a person name plus company or domain. - Use `email_verifier` after `email_finder` when the user needs a validated result. - Use `email_enrichment` when the user already has an email and wants more profile data. - Use `domain_search` when the user wants contacts for a company or domain without a specific person. - Use `phone_finder` when the user wants phone numbers from an email, domain, or LinkedIn profile. - Use `phone_validator` when the user provides a phone number and wants validation or carrier details. - Use `linkedin_finder` when the user has a LinkedIn URL and wants an email. - Use `author_finder` when the user provides an article URL and wants the author's contact. - Use `email_count` to estimate the reachable contact surface for a domain. - Use `technology_finder` to inspect a company's website stack. - Use `similar_finder` to find comparable or competing domains. - Use `companies_search` when the user wants a company list filtered by market, geography, size, revenue, type, or industry. ## Workflow Guidance Prefer short multi-step workflows that improve confidence: 1. If the user names a person, start with `email_finder`. 2. Verify the result with `email_verifier` before presenting it as high-confidence. 3. If the user wants broader prospecting, use `companies_search` or `domain_search` first. 4. Add `email_enrichment`, `phone_finder`, `technology_finder`, or `similar_finder` only when they answer the user's actual goal. When several plausible contacts exist, rank them by relevance to the requested department or role and say why the top result was selected. If the user does not provide enough information, ask only for the missing fields that materially improve the result, such as company domain, full name, article URL, LinkedIn URL, or target department. ## Output Expectations When returning results: - distinguish clearly between confirmed data and inferred data - mention whether an email was verified - include the source input used for each lookup - keep summaries concise and decision-oriented - if no high-confidence result is found, say that directly and suggest the next best lookup path ## Common Playbooks ### Find A Person's Best Email 1. Use `email_finder` with the person's name and company. 2. Use `email_verifier` on the strongest candidate. 3. If requested, use `email_enrichment` and `phone_finder`. ### Research A Company For Outreach 1. Use `domain_search` to identify existing contacts. 2. Use `email_count` to estimate contact coverage. 3. Use `technology_finder` and `similar_finder` for company context. ### Build A Target Account List 1. Use `companies_search` with the user's market filters. 2. For top matches, use `domain_search` or `email_finder` for contact discovery. 3. Verify candidate emails before presenting them as final.
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