linkedin-email-generator-agent

Generate prioritized work and personal email candidates from names and company domains.

3|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/yennanliu/linkedin-skill --skill linkedin-email-generator-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkedin-email-generator-agent
Source: https://github.com/yennanliu/linkedin-skill/tree/main/skills/agents/email-generator-agent
Command: npx skills add https://github.com/yennanliu/linkedin-skill --skill linkedin-email-generator-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill generates and validates potential email addresses from names and company domains, enabling efficient candidate outreach and contact discovery.

Core Features & Use Cases

  • Generate email candidates from a name and company domain, inferring common patterns and prioritizing results by industry and company size.
  • Infer company email domains from user-provided mappings, known company tables, or slugified company names.
  • Handle international names, non-English patterns, and hyphenated or accented characters to produce accurate candidates.
  • Provide guidance on verification workflows and personal vs work emails for outreach strategies.
  • Output ranked candidates to simplify integration with verification APIs and CRM workflows.

Quick Start

Input a name and a domain to generate prioritized email candidates.

Frequently Asked Questions about linkedin-email-generator-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate work emails from a name and company domain for outreach?

Generating work emails from names and company domains involves inferring common address patterns and prioritizing candidates by industry and company size to produce ranked candidates for outreach.

Can I infer company email domains from LinkedIn profile data without a known domain?

You can infer company email domains using user-provided mappings, known company tables, or slugified company names extracted from LinkedIn profile data to generate likely email candidates.

Does email generation handle international names and accented characters?

Email generation handles international naming orders, non-English patterns, and hyphenated or accented characters to produce accurate email candidates for global outreach.

How do I validate generated email candidates before sending outreach campaigns?

Validating generated email candidates involves passing the ranked output to verification APIs and CRM workflows to confirm whether the inferred work or personal emails are deliverable.

What is the best way to prioritize email patterns for large companies versus smaller firms?

Prioritizing email patterns by industry and company size allows the generator to rank likely candidates, simplifying integration with verification APIs for both large and small firms.

What are the limitations of generating personal versus work emails for contact discovery?

Generating personal versus work emails requires domain inference and pattern prioritization, but limitations exist when company mappings are unavailable or when verification APIs cannot confirm deliverability.