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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.
Passed 17 of 23 test cases with the skill, and 14 of 23 without it.
and 2 more in the full report
3 fixed14 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is an existing contact record: Sarah Connor, formerly Director of Security at Cyberdyne Systems. We heard she recently moved to a new company. Help us enrich this stale record by creating a re-verification plan and specifying what updated fields to track.
| Checked | Without skill | With skill |
|---|---|---|
| Outlines search queries to locate the contact's current employer. | Missed | Passed |
| Includes fields for recording verification confidence. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
references/search-queries.md — per-target search briefs and reusable query patternsreferences/output-templates.md — data collection template, contact card, bulk CSV, email-pattern report, export formatsreferences/compliance.md — allowed/not-allowed rules, best practices, verification stepsIdentify the search type: person, company, role, email verification, or bulk enrichment.
Gather search parameters: name, company, job title, location, industry, LinkedIn URL, email domain, and any other identifiers.
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).
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.
Detect the company email pattern from confirmed addresses, then derive candidate emails. See the email-pattern report in references/output-templates.md.
Collect and verify results. Cross-reference multiple sources and run the verification steps in references/compliance.md before recording any field.
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.
For enrichment of existing contacts, refresh: current job title, company changes, updated contact info, social profiles, company information, reporting structure, and recent activity.
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.
test cases passed, vs 14 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.