·enrichment-design
{}

enrichment-design

Design enrichment columns that bridge research hypotheses to list enrichment. Two modes: segmentation (columns that score hypothesis fit per company) and personalization (columns for company-specific hooks). Interactive column design with the user. Outputs ready-to-run column_configs for list-enrichment. Triggers on: "data points", "enrichment columns", "column design", "what to research", "data point builder", "build columns", "segmentation columns", "personalization columns".

10Installs·0Trend·@extruct-ai

Installation

$npx skills add https://github.com/extruct-ai/gtm-skills --skill enrichment-design

How to Install enrichment-design

Quickly install enrichment-design AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/extruct-ai/gtm-skills --skill enrichment-design
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: extruct-ai/gtm-skills.

SKILL.md

View raw

Bridge the gap between research hypotheses and table enrichment. Define WHAT to research about each company before running enrichment.

Goal: Design columns that score or confirm hypothesis fit per company.

Example: If hypothesis is "Database blind spot — 80-90% of targets invisible to standard tools":

Design enrichment columns that bridge research hypotheses to list enrichment. Two modes: segmentation (columns that score hypothesis fit per company) and personalization (columns for company-specific hooks). Interactive column design with the user. Outputs ready-to-run column_configs for list-enrichment. Triggers on: "data points", "enrichment columns", "column design", "what to research", "data point builder", "build columns", "segmentation columns", "personalization columns". Source: extruct-ai/gtm-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/extruct-ai/gtm-skills --skill enrichment-design
Category
{}Data Analysis
Verified
First Seen
2026-03-10
Updated
2026-03-11

Browse more skills from extruct-ai/gtm-skills

Quick answers

What is enrichment-design?

Design enrichment columns that bridge research hypotheses to list enrichment. Two modes: segmentation (columns that score hypothesis fit per company) and personalization (columns for company-specific hooks). Interactive column design with the user. Outputs ready-to-run column_configs for list-enrichment. Triggers on: "data points", "enrichment columns", "column design", "what to research", "data point builder", "build columns", "segmentation columns", "personalization columns". Source: extruct-ai/gtm-skills.

How do I install enrichment-design?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/extruct-ai/gtm-skills --skill enrichment-design Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/extruct-ai/gtm-skills

Details

Category
{}Data Analysis
Source
skills.sh
First Seen
2026-03-10