What problem does it solve? Writers and analysts need a measurable way to characterize the psychological and linguistic registers that dominate a text corpus, but raw word counts are uninterpretable without validated category dictionaries and reference baselines. This Skill turns a writing corpus into quantified psycholinguistic dimension percentages that feed directly into style replication and voice profiling work. ## Core Features & Use Cases - Dictionary-based dimension analysis: Categorizes vocabulary into LIWC-22-style dimensions (cognitive, social, affective, drives, biological, perceptual) using LIWC-22, Empath, SEANCE, or custom dictionaries. - Baseline comparison and register profiling: Compares dimension percentages against published reference ranges, flags elevated or reduced dimensions, and classifies the corpus into register profiles like analytical-reflective or social-relational. - Style replication mapping: Separates process (function) words from content words and ranks psycholinguistic features as prioritized targets for voice replication. - Use Case: Given a 5,000-word Reddit writing export, compute dimension percentages, identify that cognitive processes are elevated at 16% versus the 10-14% baseline, and produce a report mapping the dominant registers to style replication priorities. ## Quick Start Analyze the writing samples in this project with the liwc-psycholinguistic skill and write the dimension findings to docs/analysis/16-liwc-psycholinguistic.md.
