How do I install the Casualize Names skill?

Run npx skillmds@latest add aiagentwithdhruv/casualize-names-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Casualize Names safe to use?

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Which AI agents work with Casualize Names?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Casualize Names free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Casualize Names?

aiagentwithdhruv (@aiagentwithdhruv) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Casualize Names by aiagentwithdhruv

Name: Casualize Names
Author: aiagentwithdhruv

File contents

Casualize Names Workflow

Goal

Convert formal names (first names, company names, cities) to casual, friendly versions suitable for cold email copy.

Scripts

./scripts/casualize_batch.py - Main script (all 3 fields at once)
./scripts/casualize_company_names_batch.py - Company names only
./scripts/casualize_first_names_batch.py - First names only
./scripts/casualize_city_names_batch.py - City names only

Quick Start

# Process all three fields at once (recommended, 3x faster)
python3 -u ./scripts/casualize_batch.py "GOOGLE_SHEET_URL"

# Re-process existing (overwrite)
python3 -u ./scripts/casualize_batch.py "GOOGLE_SHEET_URL" --overwrite

How It Works

Processes records in batches of 50
Uses 5 parallel workers
Claude converts all three fields in one API call
Batch updates Google Sheet with results
Only processes rows with emails

Performance: ~35 records/sec (3,000 records ≈ 90 seconds)

Casualization Rules

First Names

Use common nicknames: "William" → "Will", "Jennifer" → "Jen"
Keep original if no common nickname exists
Keep it professional

Company Names

Remove "The" at beginning
Remove legal suffixes (LLC, Inc, Corp, Ltd)
Remove generic words (Realty, Group, Solutions, Services)
Keep core brand name
Use "you guys" for overly generic names

Examples:

"Keller Williams Realty Inc" → "Keller Williams"
"The Teal Umbrella Family Dental Healthcare" → "Teal Umbrella"

City Names

Use local nicknames: "San Francisco" → "SF", "Philadelphia" → "Philly"
Keep original if no common nickname

Output

Creates three new columns:

casual_first_name
casual_company_name
casual_city_name

Environment

ANTHROPIC_API_KEY=your_key

Schema

Inputs

Name	Type	Required	Description
`sheet_url`	string	Yes	Google Sheet URL with lead data
`overwrite`	boolean	No	Re-process existing casualized names

Outputs

Name	Type	Description
`sheet_url`	string	Same sheet with casual_first_name, casual_company_name, casual_city_name columns added

Credentials

Name	Source
`ANTHROPIC_API_KEY`	.env

Composable With

Skills that chain well with this one: scrape-leads, gmaps-leads, instantly-campaigns

Cost

~35 records/sec, minimal API cost

---name: casualize-names-2description: Convert formal names to casual versions for cold email personalization - first names, company names, and city names. Use when user asks to casualize names, make names friendly, or prepare lead data for emails.---# Casualize Names Workflow## GoalConvert formal names (first names, company names, cities) to casual, friendly versions suitable for cold email copy.## Scripts- `./scripts/casualize_batch.py` - Main script (all 3 fields at once)- `./scripts/casualize_company_names_batch.py` - Company names only- `./scripts/casualize_first_names_batch.py` - First names only- `./scripts/casualize_city_names_batch.py` - City names only## Quick Start```bash# Process all three fields at once (recommended, 3x faster)python3 -u ./scripts/casualize_batch.py "GOOGLE_SHEET_URL"# Re-process existing (overwrite)python3 -u ./scripts/casualize_batch.py "GOOGLE_SHEET_URL" --overwrite```## How It Works1. Processes records in batches of 502. Uses 5 parallel workers3. Claude converts all three fields in one API call4. Batch updates Google Sheet with results5. Only processes rows with emails**Performance**: ~35 records/sec (3,000 records ≈ 90 seconds)## Casualization Rules### First Names- Use common nicknames: "William" → "Will", "Jennifer" → "Jen"- Keep original if no common nickname exists- Keep it professional### Company Names- Remove "The" at beginning- Remove legal suffixes (LLC, Inc, Corp, Ltd)- Remove generic words (Realty, Group, Solutions, Services)- Keep core brand name- Use "you guys" for overly generic names**Examples:**- "Keller Williams Realty Inc" → "Keller Williams"- "The Teal Umbrella Family Dental Healthcare" → "Teal Umbrella"### City Names- Use local nicknames: "San Francisco" → "SF", "Philadelphia" → "Philly"- Keep original if no common nickname## OutputCreates three new columns:- `casual_first_name`- `casual_company_name`- `casual_city_name`## Environment```ANTHROPIC_API_KEY=your_key```---## Schema### Inputs| Name | Type | Required | Description ||------|------|----------|-------------|| `sheet_url` | string | Yes | Google Sheet URL with lead data || `overwrite` | boolean | No | Re-process existing casualized names |### Outputs| Name | Type | Description ||------|------|-------------|| `sheet_url` | string | Same sheet with casual_first_name, casual_company_name, casual_city_name columns added |### Credentials| Name | Source ||------|--------|| `ANTHROPIC_API_KEY` | .env |### Composable WithSkills that chain well with this one: `scrape-leads`, `gmaps-leads`, `instantly-campaigns`### Cost~35 records/sec, minimal API cost

Frequently asked questions

Casualize Names