Voice Style Analyzer
Reverse-engineers writing patterns from sample text to create structured voice profiles for AI content generation.
Voice Style Analyzer is a sophisticated cognitive tool for Claude Code that performs deep linguistic analysis on text samples to extract unique writing DNA. By measuring dimensions such as formality, confidence, warmth, and complexity, the skill converts prose into structured YAML profiles. This allows developers and teams to precisely capture brand voices, technical documentation styles, or personal writing quirks, ensuring that AI-generated content remains indistinguishable from human-authored samples across all platforms.
Key Features
01102 GitHub stars
02Multidimensional tone mapping across formality, confidence, warmth, energy, and complexity scales.
03Analysis confidence scoring to ensure reliable profile generation based on sample size.
04Structured YAML output compatible with voice-apply and voice-create workflows.
05Automated identification of signature phrases and domain-specific jargon.
06Statistical extraction of sentence length, vocabulary density, and pronoun usage.
Use Cases
01Reverse-engineering a company's brand voice from existing marketing copy to guide new content.
02Capturing a specific author's personal blog style for authentic AI-assisted drafting.
03Extracting technical documentation styles to ensure new documentation matches existing project standards.