Skill UI

This skill guides authors and researchers on how to strategically position their computer graphics, rendering, or visual computing work for the ACM SIGGRAPH conference. It covers core fit assessment, required evidence (visual, mathematical, or system), manuscript reframing from journal/arXiv styles, and navigating venue-specific submission requirements. Use this tool to improve your conference submission strategy and maximize visibility among top graphics reviewers.

This skill provides comprehensive strategic guidance for authors targeting ACM SIGGRAPH Asia. It helps assess a computer graphics manuscript's fit, required evidence (visualization, ablations, datasets), and structural positioning to meet the high novelty bar of this flagship venue. Use it for venue selection, manuscript re-framing, and developing a robust submission strategy against close competitors like SIGGRAPH or Eurographics.

This guide helps authors assess the suitability and optimal framing of their computer animation manuscript for the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA). It provides strategic advice on required evidence, scope calibration, contribution types (e.g., physics simulation, character motion, crowds), and how to position the work against top-tier CS conference standards. Use this when submitting animation-related research.

This skill serves as a specialized guide for authors submitting computer science manuscripts to ACM SIGMETRICS. It helps users assess the fit of their research, particularly those involving performance measurement, queueing theory, or system modeling. It provides detailed strategies on reframing the core contribution, defining the evidence bar, and positioning the work optimally for a highly selective conference.

A comprehensive guide for authors targeting the Annual Computer Security Applications Conference (ACSAC). It helps assess the fit, scope, and required evidence for applied security papers, ensuring the manuscript is properly reframed from academic theory to deployable, operational defenses. Use this tool for venue selection and submission strategy.

A comprehensive guide for researchers to determine the optimal venue for their computer systems paper. It teaches the critical differences between broad, practical conferences (like ATC) and selective, specialized venues (like OSDI, SOSP, or NSDI). The guide helps authors assess whether their work is novel, useful, focused on deployed experience, or requires specific networking/storage expertise.

This guide outlines the comprehensive process for submitting and evaluating Computer Aided Verification (CAV) research artifacts. It details the criteria for earning three badges (Available, Functional, Reusable), the two-phase review structure (smoke-test and full review), and best practices for packaging scientific tools, including the use of containers, pinned benchmarks, resource limits, and proof witnesses. This ensures reproducibility and rigor in academic research.

Use this comprehensive guide to manage the entire project lifecycle for a CAV (Computer Aided Verification) paper submission. It provides a backward-planning timeline, covering topics from initial concept fitting and evidence locking to the two-stage review process, optional artifact evaluation, and final camera-ready submission. Essential for managing technical academic deadlines and mitigating common failure modes.

This skill provides a comprehensive pre-submission checklist for determining if a computer science research topic is suitable for a major journal, such as the Chinese Journal of Computers (CJC). It guides users on assessing topic coherence, originality increment, manuscript type selection, and differentiating between various specialized journals, ensuring submissions meet high academic standards.

This skill provides comprehensive guidance on positioning, structuring, and refining computer vision manuscripts for top-tier venues like CVPR. It covers identifying major novelty, required experimental rigor (e.g., ablations, failure modes), framing contributions, and adhering to specific conference submission standards for CV, VLM, and recognition tasks. Use it to refine your submission strategy and ensure your work meets the high bar set by leading AI conferences.

A specialized routing tool designed for academic researchers submitting manuscripts to top-tier Computer Science and AI conferences. It helps users navigate complex decision points, such as selecting the best venue (e.g., ICML vs NeurIPS), matching contribution types (theory, system, empirical study), and adhering to specific submission guidelines and review constraints.

This comprehensive guide outlines the academic standards and best practices for drafting or revising papers in the Computer-Supported Cooperative Work (CSCW) domain. It provides detailed advice on managing effective word count, shifting focus from individual users to group dynamics, strengthening theoretical arguments, and presenting empirical evidence with high academic rigor. Essential for researchers aiming for top-tier publication.