voice

Generate text using predefined communication style parameters and voice guidelines.

2|Updated May 2, 2025
One-click install
npx skills add https://github.com/daltonkyemiller/dot --skill voice-daltonkyemiller
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voice
Source: https://github.com/daltonkyemiller/dot/tree/main/.agents/skills/voice
Command: npx skills add https://github.com/daltonkyemiller/dot --skill voice-daltonkyemiller

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures written communications are aligned with Dalton's voice, improving the clarity, tone, and style of written output.

Core Features & Use Cases

  • Custom Communication Style: Implements Dalton's voice principles directly into text.
  • Use Case: Ideal for drafting messages, documentation, comments, PR descriptions, emails, Slack messages, and more on Dalton's behalf.

Quick Start

Generate a Slack message with Dalton's voice style for the meeting reminder.

Frequently Asked Questions about voice

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I draft engineering documentation with a consistent communication style?

Generate Slack messages with a custom communication style by providing a text prompt, which the Skill processes using predefined voice guidelines to output a drafted message. This ensures your Slack messages align with established tone and clarity principles.

Can I automate message drafting for pull request descriptions?

Use this text generation approach for full-stack engineers and designers because it implements specific voice principles that ensure technical communications remain efficient, precise, and stylistically consistent across all project documentation and team messaging.

What is the best way to maintain a specific voice style across engineering communications?

Apply this text generation approach to draft emails, comments, and engineering documentation by processing your raw text through established voice guidelines, yielding styled output that matches Dalton's communication principles for precise and efficient messaging.

Does this communication style tool work for both designers and full-stack engineers?

Limitations of this custom voice style text generation include its strict adherence to a single predefined set of communication parameters, meaning it may not be suitable if you need to dynamically switch between multiple distinct brand voices or highly informal tones.