enrich-company-and-contact-data

Enrich company and contact records with firmographic, technographic, and account context.

1|2|Updated Jun 16, 2026
One-click install
npx skills add https://github.com/MuzeWinter/CooperAPI-Plugin --skill enrich-company-and-contact-data-muzewinter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: enrich-company-and-contact-data
Source: https://github.com/MuzeWinter/CooperAPI-Plugin/tree/main/plugins/sales/skills/enrich-company-and-contact-data
Command: npx skills add https://github.com/MuzeWinter/CooperAPI-Plugin --skill enrich-company-and-contact-data-muzewinter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps sales teams turn sparse company and contact inputs into usable account intelligence, reducing manual research and making lists, segments, and comparisons easier to trust.

Core Features & Use Cases

  • Company and contact enrichment: Complete missing firmographic, technographic, and contact context from lists, domains, emails, or pasted rows.
  • Discovery and segmentation: Build ICP lists, scan markets, find lookalike companies, and group accounts by fit or priority.
  • Comparison and signal analysis: Compare accounts side by side, surface triggers and signals, and identify which records deserve attention first.
  • Sales-ready outputs: Return cleaned tables with confidence, gaps, and next-step guidance that sales users can act on quickly.

Quick Start

Enrich this company or contact list and return the best available fields, confidence notes, and next-step recommendations.

Frequently Asked Questions about enrich-company-and-contact-data

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

FAQPage Schema
How do I enrich company and contact records with missing firmographics and technographics?

To enrich company and contact records, provide scoped inputs like lists, domains, or emails. The system resolves source categories and completes missing firmographic, technographic, and account context with confidence-aware field completion.

What is the best way to build an ICP list from sparse company domains and pasted rows?

Building an ICP list from sparse inputs involves scanning markets and grouping accounts by fit. The process completes missing sales-ready context from your domains and rows, returning cleaned tables with confidence notes for segmentation.

Can I use CRM data and public sources to find lookalike companies for account discovery?

Yes, you can use CRM data and public sources for account discovery. The system safely handles these inputs to research similar accounts, resolve source categories, and surface missing firmographic and technographic context for lookalike companies.

How do I compare accounts side by side and surface sales triggers from contact lists?

Comparing accounts side by side identifies triggers and signals to prioritize records. The system analyzes your contact lists, completes missing context, and returns next-step guidance indicating which accounts deserve attention first.

What limitations exist when enriching contacts from document sources and CRM records?

Limitations when enriching contacts from document and CRM sources include relying on safe handling protocols to prevent data corruption. The system requires scoped inputs and applies confidence-aware field completion, meaning gaps remain when source data is unverifiable.