What problem does it solve? When replicating an author's writing style, word choice and sentiment alone are not enough — you also need to capture how the author structures arguments, uses discourse markers, and organizes paragraphs. This Skill quantifies those structural patterns from a text corpus and turns them into measurable, replicable constraints. ## Core Features & Use Cases - Argument Ordering Classification: Detects whether an author leads with claims, evidence, dialectical concessions, exploratory weighing, or narrative framing across a corpus. - Discourse Marker Profiling: Counts contrastive, elaborative, inferential, concessive, emphatic, and topic-management markers per 1000 words using Fraser's taxonomy. - Rhetorical Device & Structure Metrics: Measures hedging, rhetorical questions, analogies, concession-contrast pairs, paragraph length distributions, list-to-prose ratios, and summary positioning. - Use Case: Feed a Reddit comment export into the pipeline to produce a discourse structure profile (e.g., dominant evidence-first ordering, high hedging rate) that feeds into a voice replication skill with numeric targets. ## Quick Start Analyze the writing samples in this project for argument ordering patterns, discourse marker usage, and paragraph structure, then write the report to docs/analysis/20-rhetorical-discourse-structure.md.
