What problem does it solve? Writing style analysis often relies on topic-dependent content words that change across contexts, making it impossible to identify an author's consistent voice. This Skill extracts the unconscious, topic-independent features of writing — function word frequencies, punctuation habits, and sentence structure distributions — to build a stable, replicable style profile. ## Core Features & Use Cases - Function Word Profiling: Measures frequencies of 50+ function words (articles, prepositions, pronouns, auxiliaries) grounded in established stylometry research (Mosteller & Wallace, Burrows, Kestemont). - Cross-Context Stability Testing: Segments the corpus and computes coefficient of variation per feature, classifying each as highly stable, stable, moderate, or unstable so only reliable markers enter the fingerprint. - Syntactic Constraint Generation: Translates numeric profiles into actionable prose constraints (sentence length targets, comma rates, pronoun balance) that a writer or AI can follow to replicate the voice. - Use Case: Given a 10,000-word corpus of someone's Reddit posts, produce a numeric fingerprint and a set of writing rules that an AI agent uses to generate new text in that person's style. ## Quick Start Analyze the writing samples in this project and generate a stylometric fingerprint report with stable features and replication constraints.
