casualize-names

Convert formal lead names into casual versions in Google Sheets.

1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/ezjonline/ezj-automations --skill casualize-names-ezjonline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: casualize-names
Source: https://github.com/ezjonline/ezj-automations/tree/main/skills/casualize-names
Command: npx skills add https://github.com/ezjonline/ezj-automations --skill casualize-names-ezjonline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill saves time when preparing cold outreach by turning formal lead data into warmer, more natural names that fit personalized email copy.

Core Features & Use Cases

  • First name casualization: Converts names like William or Jennifer into common nicknames when appropriate.
  • Company and city normalization: Simplifies company names and city names into friendlier forms that sound natural in outreach.
  • Bulk spreadsheet workflow: Processes lead rows from Google Sheets, skips incomplete records, and writes casualized results back into new columns.

Quick Start

Ask the skill to casualize the first_name, company_name, and city fields for the leads in your Google Sheet and write the results into new casual name columns.

Frequently Asked Questions about casualize-names

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

FAQPage Schema
How do I convert formal lead names into casual nicknames for cold email personalization?

To convert formal lead names into casual nicknames for cold email personalization, you can process your Google Sheets lead lists in bulk. The system normalizes first names, company names, and cities, writing friendlier versions into new columns for natural outreach copy.

Can I bulk normalize company and city names in Google Sheets for outreach?

Yes, you can bulk normalize company and city names in Google Sheets for outreach. The system processes lead rows directly from your spreadsheet, simplifying formal company names and cities into friendlier forms, and writes the results back into dedicated casual name columns.

What is the best way to casualize first name, company, and city fields at scale?

The best way to casualize first name, company, and city fields at scale is through batch spreadsheet processing. The system reads your lead data, applies nickname and locality normalization, skips incomplete records, and writes the casualized results back into your sheet.

Does lead name normalization skip incomplete records in my spreadsheet?

Yes, lead name normalization skips incomplete records in your spreadsheet. During batch processing, the system applies conditional row skipping to ensure only leads with complete first name, company name, and city data receive casualized values in the new output columns.

What columns do I need for casual name normalization in Google Sheets?

For casual name normalization in Google Sheets, you need first_name, company_name, and city fields in your lead list. The system processes these specific columns and writes the casualized results into new casual_first_name, casual_company_name, and casual_city_name columns.