Im Registry indexiert
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.
Übersicht
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.
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
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_namecasual_company_namecasual_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
Dateimetadaten
name: casualize-names description: 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.
Originaltext anzeigen
--- name: casualize-names description: 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 ## 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 ```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 Works 1. Processes records in batches of 50 2. Uses 5 parallel workers 3. Claude converts all three fields in one API call 4. Batch updates Google Sheet with results 5. 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
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- MIT
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md contains a minor typo: 'overly generic name' should likely be 'overly generic names'.
- The scripts are not fully shown in the excerpt, but the provided code appears functional and follows standard practices.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 16 GitHub stars
- Stars/forks activity: 16 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- aiagentwithdhruv/skills
- Lizenz
- MIT
- Version
- 1.0.0
- Letzter GitHub-Push
- 27. Aug. 2026
- Verzeichnis aktualisiert
- 1. Sept. 2026
- Anleitungspfad
- casualize-names/SKILL.md
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
56/100
Vielversprechend
Vertrauen
51/100
Do not auto-install
Audit
68/100
Prüfung nötig
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md contains a minor typo: 'overly generic name' should likely be 'overly generic names'.
- The scripts are not fully shown in the excerpt, but the provided code appears functional and follows standard practices.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 16 GitHub stars
- Stars/forks activity: 16 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- aiagentwithdhruv
- Quelle
- aiagentwithdhruv/skills
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
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Dieser Registry-indexiert-Eintrag wird aiagentwithdhruv zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
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