Learn-skills.dev casualize-names

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.

install

source · Clone the upstream repo

git clone https://github.com/NeverSight/learn-skills.dev

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/NeverSight/learn-skills.dev "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/skills-md/aiagentwithdhruv/skills/casualize-names" ~/.claude/skills/neversight-learn-skills-dev-casualize-names && rm -rf "$T"

manifest: data/skills-md/aiagentwithdhruv/skills/casualize-names/SKILL.md

source content

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