菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Add new Modal webhooks for event-driven execution. Use when user asks to create a webhook, add an endpoint, or set up event triggers.
Classify leads using LLM for complex distinctions like product SaaS vs agencies. Use when user asks to classify leads, filter leads by type, or categorize businesses.
Generate PandaDoc proposals from client information or sales call transcripts. Use when user asks to create a proposal, generate a quote, draft a contract, or prepare a client document.
Find viral YouTube videos from adjacent business niches to extract content patterns and hooks. Use when user asks to find content inspiration, YouTube outliers, viral video patterns, or cross-niche content ideas.
Generate weekly weather reports for Canada using Open-Meteo API (free, no API key required) and PDF generation. Use when user asks to create a weather report, generate Canada weather summary, or build weekly weather PDF.
Manage emails across multiple Gmail accounts with unified tooling. Use when user asks to check email, read inbox, label emails, archive messages, or manage Gmail across accounts.
| 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. |
| allowed-tools | Bash, Read, Write, Edit, Glob, Grep |
Convert formal names (first names, company names, cities) to casual, friendly versions suitable for cold email copy.
./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# 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
Performance: ~35 records/sec (3,000 records ≈ 90 seconds)
Examples:
Creates three new columns:
casual_first_namecasual_company_namecasual_city_nameANTHROPIC_API_KEY=your_key