What is the primary communication style of this skill?

The style is extremely brief and casual, typically using 1-5 words, lowercase text, no emojis, and specific abbreviations like 'K' or 'lmk'.

How does the skill handle meetings?

It provides specific 15-minute or 30-minute Calendly links directly in the reply based on the perceived depth of the discussion required.

Can it generate multiple reply variations?

Yes, for 'Medium Confidence' scenarios, it generates three diverse options representing affirmative, negative, and clarification-seeking responses.

What happens if a message is too complex for an AI reply?

The skill uses a confidence classification system; 'Low Confidence' messages are flagged with a reason why human intervention is needed instead of generating a reply.

WhatsApp Reply Style

Name: WhatsApp Reply Style
Author: mshuffett

bymshuffett

Social Media Management

Generates ultra-brief, conversational WhatsApp responses modeled after Michael's specific communication patterns and scheduling preferences.

About

This skill optimizes Claude to act as a personal communication assistant by mimicking a specific, high-efficiency messaging persona. It prioritizes extreme brevity, typically limiting responses to 1-5 words, and adheres to a casual, lowercase style without formal greetings or emojis. The skill includes built-in logic for scheduling via Calendly, location sharing, and a confidence-based classification system that determines whether Claude should generate a direct reply, offer multiple options, or flag the message for manual human intervention.

Key Features

0 GitHub stars
Confidence-based response classification (High/Medium/Low)
Integrated scheduling for 15 and 30-minute meetings
Customizable contact-specific communication patterns
Extreme brevity enforcement (1-5 word default)
Multi-option generation for ambiguous requests

Use Cases

Drafting quick, casual replies to arrival and timing updates
Automating routine acknowledgments and scheduling on WhatsApp
Filtering complex strategic messages that require personal attention

About

Key Features

0 GitHub stars
Confidence-based response classification (High/Medium/Low)
Integrated scheduling for 15 and 30-minute meetings
Customizable contact-specific communication patterns
Extreme brevity enforcement (1-5 word default)
Multi-option generation for ambiguous requests

Use Cases

Drafting quick, casual replies to arrival and timing updates
Automating routine acknowledgments and scheduling on WhatsApp
Filtering complex strategic messages that require personal attention