Skill UI

This guide provides detailed instructions on designing high-quality visual exhibits for academic literature reviews, such as the Annual Review of Sociology (ARSoc). It covers three primary exhibit types: 'Who-found-what' summary tables, conceptual framework figures, and meta-evidence plots. The focus is on synthesizing findings across multiple studies and structuring arguments, rather than presenting new primary estimates or raw data.

A critical framework for evaluating art-historical projects, designed to elevate a local description or catalog entry into a significant, general disciplinary contribution. Use this guide to pressure-test the scope, argument strength, visual feasibility, and overall scholarly reach of your research before committing to deep writing.

A comprehensive guide for authors submitting to top-tier computer vision venues like CVPR. It details how to write highly concise, visually impactful, and rigorous academic papers that pass the 'two-pass reader' test. Focus areas include effective figure design, managing strict page budgets (including figures/tables), calibrating claims to avoid overstatement, and adopting professional technical writing norms.

This guide provides strict principles for transforming dense, technical academic data (like regression tables or complex charts) into self-explanatory exhibits suitable for a broad, non-specialist audience, such as those reading the Journal of Economic Perspectives (JEP). The focus is always on maximizing clarity and communicating a single, clear finding, prioritizing visual impact over statistical density.

A comprehensive guide for revising visualization research papers for top-tier conferences and journals (e.g., IEEE VIS/TVCG). It mandates shifting focus from aesthetic design to rigorous, task-grounded contributions. Users learn how to justify every visual encoding and interaction based on the analytical task, ensure evaluation methods match the contribution type, and structure the narrative around the data-task problem.

This skill takes validated talk angles and titles to produce a comprehensive, professional presentation package. It generates a detailed 5-act narrative script with embedded speaker notes, a precise slide-by-slide design specification for visual implementation, and a ready-to-use AI prompt (Kimi) for automated slide generation. Ideal for transforming raw ideas into polished, actionable presentations.