What problem does it solve? Characterizing an author's personality from their writing is subjective and inconsistent without a validated framework. This Skill applies meta-analytically validated linguistic markers (LIWC categories) to infer Big Five (OCEAN) trait positions from a text corpus, then translates those traits into concrete writing style constraints for voice replication. ## Core Features & Use Cases - Trait Scoring with Confidence Bands: Scores Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism on a 0-100 normalized scale with corpus-size-calibrated confidence intervals. - Corpus Suitability Validation: Enforces minimum word counts (1,000+ words), checks context diversity, authorship, and editing level before analysis, refusing unsuitable data. - Trait-to-Style Mapping: Converts each trait position into actionable writing constraints covering vocabulary level, sentence complexity, emotional tone, formality, and assertion style, with explicit conflict resolution between traits. - Use Case: Given a 10,000-word Reddit export from a single author, generate a personality-informed writing profile that feeds into a voice replication agent, documenting that high Openness implies varied vocabulary while low Neuroticism implies confident, forward-looking phrasing. ## Quick Start Analyze the writing samples in this project and generate a Big Five personality profile with writing style constraints saved to docs/analysis/15-big-five-personality.md.
