Agent skill · marketing growth · onewave-ai
contact-hunter
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.
Why this skill is useful
Provides structured query patterns and templates for contact enrichment that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
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. 2. Gather search parameters: name, company, job title, location, industry, LinkedIn URL, email domain, and any other identifiers. 3. 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). 4. 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. 5. Detect the company email pattern from confirmed addresses, then derive candidate emails. See the email-pattern report in references/output-templates.md. 6. Collect and verify results. Cross-reference multiple sources and run the verification steps in references/compliance.md before recording any field. 7. 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. 8. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/contact-hunter