contact-goat

Integrate LinkedIn, Happenstance, and Deepline data for networking and prospecting.

1.9k|565|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/mvanhorn/printing-press-library --skill contact-goat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: contact-goat
Source: https://github.com/mvanhorn/printing-press-library/tree/main/library/sales-and-crm/contact-goat
Command: npx skills add https://github.com/mvanhorn/printing-press-library --skill contact-goat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill consolidates networking and prospecting data across LinkedIn, Happenstance, and Deepline, enabling users to find warm introductions, existing connections, and detailed profiles efficiently.

Core Features & Use Cases

  • Coverage Queries: Discover who you already know at a company or in a city, ranked by relationship strength.
  • Warm-Intro Paths: Find mutual connections who can introduce you to a target person.
  • Cross-Source Prospecting: Fan-out search combining LinkedIn, Happenstance, and Deepline, deduplicating across platforms.
  • Unified Profiles: Compile comprehensive profiles about individuals from multiple data sources.
  • Network Diffing and Export: Analyze changes over time and export network graphs for visualization.

Quick Start

Ask for a warm intro to Elon Musk; the Skill will find mutual connections and suggest a pathway.

Frequently Asked Questions about contact-goat

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

FAQPage Schema
How do I find warm introductions to a target person across LinkedIn, Happenstance, and Deepline?

To find warm introductions, this Skill identifies mutual connections across LinkedIn, Happenstance, and Deepline, then suggests a pathway to your target person. It ranks existing contacts by relationship strength to prioritize outreach.

Can I deduplicate prospecting profiles when searching across multiple networking platforms?

Yes, you can deduplicate prospecting profiles during a cross-source fan-out search. The Skill combines data from LinkedIn, Happenstance, and Deepline, removing duplicate entries to compile a single unified profile for each individual.

What is the best way to see who I already know at a specific company or in a certain city?

The best way to see who you know is through coverage queries. This feature checks your integrated network across LinkedIn, Happenstance, and Deepline, ranking contacts by relationship strength for targeted outreach.

How do I export and analyze changes in my professional network over time?

You can export and analyze network changes using the network diffing feature. It tracks relationship additions and profile updates across your connected platforms, allowing you to export network graphs for external visualization.

Do I need separate authentication for each data source to unify my networking profiles?

Yes, source-specific authentication is required for each data source. The Skill ensures compliance with LinkedIn, Happenstance, and Deepline data handling requirements by connecting through their individual authentication protocols.

What are the limitations of using cross-source insights for targeted outreach?

Cross-source insights are limited by the authentication and data handling requirements of each platform. The Skill cannot bypass source-specific compliance rules, meaning profile completeness depends on the data accessible through LinkedIn, Happenstance, and Deepline APIs.