Skill UI

A comprehensive skill that automates the entire process of creating professional, production-ready thumbnails for articles or newsletters. It reads the article copy, proposes multiple composition concepts (e.g., bold claim, conceptual object), writes tailored prompts, calls the Gemini API for image generation, and evaluates the results using computer vision, returning ranked candidates with rationale.

A comprehensive guide for authors targeting top Human-Computer Interaction (HCI) conferences like CHI. It helps authors position their manuscripts, define required contribution types (e.g., system, dataset, empirical finding), and structure the paper to meet the rigorous standards of human-centered computing reviewers, focusing on user experience and design implication.

A specialized guide for positioning academic manuscripts for the ACM MobileHCI conference. It helps authors refine their paper's focus, evidence structure, and narrative to match the unique requirements of mobile interaction, wearable interfaces, and on-device sensing. This tool acts as a fit/venue-selection tool, guiding the structuring of the contribution, evidence, and scope to meet top-tier conference standards.

A comprehensive guide for authors targeting ACM SIGACCESS Conference on Computers and Accessibility (ASSETS). This skill helps determine manuscript fit, provides strategies for re-framing work from other disciplines (e.g., journal or arXiv style), and details the required evidence (e.g., community-grounded framing, ethical evaluation) needed to succeed in this specialized venue. Use it for venue selection, scope calibration, and submission readiness checks for accessible technology research.

This guide provides a comprehensive checklist and systematic approach for enhancing the reproducibility of research in Computer Graphics and CAD. It addresses the inherent sensitivity of graphics and geometry results to environment variables, random seeds, rendering parameters, and data versions, ensuring that published results can be reliably replicated by reviewers and readers.