How does the skill determine the right level of formality?

The skill evaluates the relationship between sender and recipient, the primary purpose of the message, and the specific cultural context to recommend the most appropriate tone.

Does it support international time-based greetings?

Yes, it provides guidance on using time-based greetings only when the recipient's timezone is known and the message is time-sensitive or live.

Why does it suggest avoiding phrases like 'To whom it may concern'?

The skill prioritizes modern professional standards, flagging impersonal or gendered phrases as anti-patterns to help you build better rapport with your audience.

Can this skill help with sensitive or difficult emails?

Yes, it includes specialized rules for high-stakes scenarios such as delivering bad news, making formal apologies, or celebrating team achievements.

Professional Greeting Assistant

Name: Professional Greeting Assistant
Author: darthmolen

bydarthmolen

Productivity & Workflow

Generates contextually appropriate and polished greetings for professional correspondence across emails, messages, and formal letters.

About

The Professional Greeting skill enhances Claude's ability to navigate the nuances of professional communication by providing domain-specific logic for openers. It helps users determine the ideal level of formality based on recipient relationships, cultural contexts, and message purpose. By steering users away from outdated or impersonal phrases and providing seamless opening sentence suggestions, this skill ensures that every interaction begins with a tone that builds rapport and maintains professional standards.

Key Features

Contextual relationship detection for tailored greeting selection
Intelligent formality scaling from professional-casual to high-formal
Integrated opening sentence suggestions to improve message flow
Anti-pattern filtering to remove gendered or outdated language
Time-zone awareness for appropriate morning or afternoon openers
0 GitHub stars

Use Cases

Responding to senior leadership with an appropriately respectful tone
Crafting sensitive professional apologies or follow-up messages
Drafting first-contact emails to high-priority prospective clients

About

Key Features

Contextual relationship detection for tailored greeting selection
Intelligent formality scaling from professional-casual to high-formal
Integrated opening sentence suggestions to improve message flow
Anti-pattern filtering to remove gendered or outdated language
Time-zone awareness for appropriate morning or afternoon openers
0 GitHub stars

Use Cases

Responding to senior leadership with an appropriately respectful tone
Crafting sensitive professional apologies or follow-up messages
Drafting first-contact emails to high-priority prospective clients