How much text is needed for an accurate analysis?

For reliable results, a minimum of 500 words is recommended. Providing 3 or more samples totaling 1500+ words significantly increases the confidence score and accuracy of the profile.

What dimensions does the voice profile measure?

The skill measures five primary dimensions on a 0-1 scale: Formality, Confidence, Warmth, Energy, and Complexity, alongside structural preferences like sentence variety and perspective.

What is the output format of the analysis?

Voice Analyze generates a standardized YAML profile by default, but it also supports JSON output for inspection and programmatic use.

Can I combine multiple analyzed voices?

Yes, once you have analyzed individual styles, you can use the voice-blend integration to combine characteristics from different profiles into a single new style.

Voice Analyze

Name: Voice Analyze
Author: jmagly

byjmagly

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内容管理

Reverse-engineers writing styles and voice profiles from text samples using multi-dimensional pattern analysis.

关于

Voice Analyze is a specialized capability for Claude Code that extracts measurable writing patterns from existing content to create structured voice profiles. By evaluating dimensions such as formality, confidence, and warmth, it enables users to programmatically capture brand voices, technical documentation styles, or personal writing quirks. These profiles serve as a blueprint for maintaining stylistic consistency across AI-generated content, ensuring that new text matches the tone, vocabulary, and structural patterns of the original source material.

主要功能

Seamless integration with voice-apply and voice-blend workflows
Measurable linguistic metrics like sentence length and contraction density
Structured YAML and JSON voice profile generation
Automated signature phrase and domain-specific vocabulary extraction
Multi-dimensional tone analysis including formality, confidence, and warmth
67 GitHub stars

使用场景

Capturing personal writing quirks from blog posts to maintain a consistent authorial voice
Reverse-engineering a brand's marketing voice from existing copy for consistent campaign creation
Analyzing technical documentation to ensure new guides follow established stylistic standards

关于

主要功能

Seamless integration with voice-apply and voice-blend workflows
Measurable linguistic metrics like sentence length and contraction density
Structured YAML and JSON voice profile generation
Automated signature phrase and domain-specific vocabulary extraction
Multi-dimensional tone analysis including formality, confidence, and warmth
67 GitHub stars

使用场景

Capturing personal writing quirks from blog posts to maintain a consistent authorial voice
Reverse-engineering a brand's marketing voice from existing copy for consistent campaign creation
Analyzing technical documentation to ensure new guides follow established stylistic standards