Brand Voice Architect (BVA)

A skill for engineering, documenting, and synthesizing brand-specific voice with quantifiable precision. Brand voice is treated as a Linguistic DNA — a measurable baseline, not an aesthetic preference.

Core Workflow

Phase I: Decomposition — /analyze [corpus]

Run a linguistic audit on provided text samples:

1. Lexical Audit — High-frequency verbs/adjectives, prohibited terms, vocabulary signature
2. Structural Mapping — Average Sentence Length (ASL), syntactic complexity, variance
3. Sentiment Baseline — Emotional temperature on a 0.0–1.0 scale

→ Use scripts/voice_analyzer.py to compute metrics programmatically when a corpus is provided.