SkillsAdd

onewave-ai/claude-skills

contact-hunter

Search and extract contact information for people or companies including names, phone numbers, emails, job titles, and LinkedIn profiles.

First seen Jan 24, 2026

Installation

$ npx skills add onewave-ai/claude-skills --skill contact-hunter
View on skills.sh ↗ GitHub repository ↗
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Summary

  • Search and extract contact information for people or companies including names, phone numbers, emails, job titles, and LinkedIn profiles.
  • Aggregates data from multiple sources and provides enriched contact details.
  • Use when users need to find contact information, build prospect lists, or enrich existing contact data.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 287
License MIT
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,071 B
  • docs SUMMARY.md 340 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 395 installs

SKILL.md

Contact Hunter

Find and enrich publicly available contact information from multiple sources with full source attribution.

This skill guides the search process and organizes results. It does not directly access paid APIs; it produces structured queries, suggests where to look, then validates and formats what is found.

Contents

  • references/search-queries.md — per-target search briefs and reusable query patterns
  • references/output-templates.md — data collection template, contact card, bulk CSV, email-pattern report, export formats
  • references/compliance.md — allowed/not-allowed rules, best practices, verification steps

Workflow

  1. Identify the search type: person, company, role, email verification, or bulk enrichment.
  1. Gather search parameters: name, company, job title, location, industry, LinkedIn URL, email domain, and any other identifiers.
  1. Select sources to check: LinkedIn, company website (About/Team/Contact/Leadership), GitHub (developers), Twitter/X, professional directories, public databases, and any paid tools the user has access to (ZoomInfo, Apollo.io, Hunter.io, RocketReach).
  1. Build the search plan using the query patterns in references/search-queries.md. Produce a per-target brief with LinkedIn, Google, company-website, email-pattern, and GitHub queries.
  1. Detect the company email pattern from confirmed addresses, then derive candidate emails. See the email-pattern report in references/output-templates.md.
  1. Collect and verify results. Cross-reference multiple sources and run the verification steps in references/compliance.md before recording any field.
  1. Format output using the templates in references/output-templates.md: data collection template, individual contact card, or bulk CSV. Export as CSV, JSON, vCard, or CRM-specific CSV (Salesforce, HubSpot) as requested.
  1. For enrichment of existing contacts, refresh: current job title, company changes, updated contact info, social profiles, company information, reporting structure, and recent activity.

Quality bar

Ensure every contact record includes all available fields, cites its sources, carries a confidence/verification level and freshness date, follows data-privacy law, is formatted consistently, notes contact preferences, provides role context (tenure, team), flags uncertainties, and suggests verification steps. Operate only within the rules in references/compliance.md.

Example triggers

  • "Find the VP of Sales at Acme Corp"
  • "Get contact info for John Smith at Microsoft"
  • "Find engineering managers at Stripe"
  • "Enrich this list of contacts with emails"
  • "What's the email pattern at Google?"
  • "Find the marketing team at HubSpot"