What problem does it solve? Writing a research paper that matches the conventions of a target field and venue requires distilling implicit style norms from many published papers, which is slow and inconsistent when done by hand. This Skill turns a corpus of reference works into evidence-backed, paper-specific style-guide sections that a researcher can approve and append to their guide. ## Core Features & Use Cases - Corpus-based rule extraction: Reads reference papers verbatim across twelve axes (narration flow, claim-evidence, wording, floats, statistics, and more) and derives rules with verbatim quote evidence. - Field-aware ontology: Classifies the paper against AI/ML and HCI/HAI narrative priors, then verifies the prior against the actual corpus before extracting rules. - Incremental guide building: First run builds the paper-specific sections; later runs diff new reference works against the existing guide and propose additions or flag contradictions. - Use Case: At the start of writing a CHI submission, provide five exemplary papers and the CHI author kit; the Skill proposes ready-to-append style-guide sections covering section anatomy, citation mechanics, and length budgets for your approval. ## Quick Start Ask the assistant to run style synthesis on your reference papers and venue author kit to propose new sections for paper/style/style-guide.md.
