enrich-company-and-contact-data

Enrich company and contact records with firmographic and technographic data.

488|76|Updated Jun 2, 2026
One-click install
npx skills add https://github.com/openai/role-specific-plugins --skill enrich-company-and-contact-data
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: enrich-company-and-contact-data
Source: https://github.com/openai/role-specific-plugins/tree/main/plugins/sales/skills/enrich-company-and-contact-data
Command: npx skills add https://github.com/openai/role-specific-plugins --skill enrich-company-and-contact-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sparse or incomplete company and contact data slows sales cycles; this enrichment workflow fills gaps with portable, source-driven context for better ICPs, segmentation, and market insights without manual digging.

Core Features & Use Cases

  • Discover and enrich company and contact records using configured sources
  • Complete firmographic and technographic attributes for accounts
  • Build ICP lists, segmentation, trigger analysis, and market scans
  • Enrichment-backed comparison to benchmark accounts and identify gaps

Quick Start

Paste your target accounts or contacts and run enrichment to produce a complete, ranked output ready for scoring and CRM updates.

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 sparse company and contact data for sales discovery?

Build ICP lists and segment accounts by running automated firmographic and technographic enrichment against your target records. The workflow resolves sources from your connectors and outputs a structured table with fields, confidence scores, and identified gaps to inform downstream segmentation.

Can I use this to build ICP lists and segment accounts based on technographics?

Yes, you can build ICP lists and segment accounts by running automated firmographic and technographic enrichment against your target records. The workflow resolves sources from your connectors and outputs a structured table with fields, confidence scores, and identified gaps to inform downstream segmentation.

What sources do I need to configure before enriching go-to-market data?

Enriching go-to-market data requires defined user context and properly configured source connectors for source resolution. You must establish these source categories beforehand so the workflow can automatically pull firmographic and technographic attributes to fill data gaps.

What's the best way to complete firmographic attributes for a market scan?

The best way to complete firmographic attributes for a market scan is to paste your target accounts and run the automated enrichment workflow. It uses configured source categories to populate missing data, benchmark accounts, and identify gaps for scoring and CRM updates.

How does the enrichment output handle missing data and confidence levels?

The enrichment output handles missing data by generating a structured table that explicitly maps populated fields, confidence scores, data sources, and identified gaps. This transparent reporting allows you to assess data quality before pushing updates to your CRM.