voice-analyze

Voice-analyze reverses-engineers voice profiles by examining sentence structure, vocabulary complexity, tone markers, and writing patterns in your text sample. It measures features like sentence length, contraction usage, pronoun frequency, and hedging, then maps these to voice dimensions—formality, confidence, warmth, energy, and complexity—outputting a portable YAML or JSON profile.

Voice-analyze measures sentence length, vocabulary sophistication, contraction usage, pronoun frequency, question density, hedging language, and exclamation marks. These quantified features map to five voice dimensions: formality, confidence, warmth, energy, and complexity, creating a structured profile of your writing style.

Yes. Voice-analyze generates machine-readable profiles (YAML/JSON) designed for downstream tools like voice-apply and voice-create. These portable profiles guide consistent voice alignment across documentation, marketing copy, blogs, and other communications.

Voice-analyze works with documentation, marketing copy, blog posts, and any text samples. It's applicable whenever you need to reverse-engineer and formalize an existing writing voice or extract measurable voice characteristics for brand consistency or personal writing coaching.

Voice-analyze accepts text samples as input. No special formatting or dependencies are required. Provide raw text content and the Skill analyzes its structural and linguistic patterns to generate a voice profile.

The generated YAML/JSON voice profile is portable and machine-readable, enabling integration with downstream tools for voice application, creation, and blending. Use profiles to guide rewriting, train collaborators on brand voice, or feed into automated writing systems.