list-enrichment

Enrich Extruct company tables with custom research-driven columns via the Extruct API.

106|22|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/extruct-ai/gtm-skills --skill list-enrichment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: list-enrichment
Source: https://github.com/extruct-ai/gtm-skills/tree/main/skills/list-enrichment
Command: npx skills add https://github.com/extruct-ai/gtm-skills --skill list-enrichment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of adding valuable, research-backed data points to your existing company tables, enhancing your data's depth and utility without manual research.

Core Features & Use Cases

  • Automated Enrichment: Add columns like funding, verticals, or tech stack to Extruct tables using the Extruct API.
  • Flexible Data Points: Define custom data points to research based on your specific needs.
  • Progress Monitoring: Track the enrichment process and review results.
  • Use Case: You have a list of target companies in an Extruct table and want to add their primary vertical and latest funding round to better segment your outreach.

Quick Start

Use the list-enrichment skill to add a 'funding stage' column to my Extruct table.

Frequently Asked Questions about list-enrichment

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

FAQPage Schema
How do I enrich company data with custom research points?

Company data enrichment with custom research points is done by adding dynamic columns to your existing tables. You define the specific data points needed, and the system retrieves the research to populate those columns automatically.

What is the best way to add funding and vertical data to a lead generation list?

Adding funding and vertical data to a lead generation list is best handled by enriching company tables with custom research-driven columns. This allows you to segment your outreach by defining specific data points like funding stage or industry vertical.

Do I need an API token for data enrichment on company tables?

An API token is required for data enrichment on company tables. Token authentication must be configured to utilize research agents and process data retrieval through the Extruct API.

Can I define custom data points for company data enrichment?

You can define custom data points for company data enrichment by configuring dynamic columns. This allows you to specify exactly what information to research and retrieve based on your specific output format needs.

How does automated data enrichment handle large company tables?

Automated data enrichment handles large company tables by processing custom research-driven columns via the Extruct API. It includes progress monitoring so you can track the enrichment process and review the results as they are completed.

Are there limitations to enriching company data with research agents?

Limitations to enriching company data include reliance on specific agent types like research_pro or llm for data retrieval. The process requires API token authentication and is designed to work within the Extruct company table environment.