Skill UI

A comprehensive guide for authors submitting data-intensive systems papers to top-tier conferences (like ICDE). It details how to structure the paper, ensure technical claims are reconstructable, quantify all performance gains with associated costs, and compress complex ideas into a limited page budget while maintaining scholarly rigor.

A comprehensive guide for revising technical manuscripts intended for premier data mining conferences like ICDM. It teaches authors to shift focus from model-centric claims to data-regime-first narratives, emphasizing measurable evidence, mechanistic detail, and adhering to strict academic constraints (e.g., triple-blind format, page limits).

This guide helps transform technically sound machine learning drafts into highly readable, conference-ready papers suitable for ICLR and OpenReview. It emphasizes structuring the core learning-representation insight upfront, clarifying contribution types (method, theory, benchmark), optimizing for public skimming, and providing clear reviewer navigation paths. Use this when ensuring maximum impact and clarity in a challenging academic review environment.

This guide provides stringent rules and structural advice for authors tackling academic papers, particularly in the domain of software maintenance and evolution. It emphasizes leading with the maintenance problem, stating research questions as contractual measurements, pairing every claim with proportional evidence, and rigorously discussing threats to validity. Use this when revising academic submissions to ensure maximum impact and technical rigor for the field.

This guide details best practices for revising technical papers submitted to top AI conferences (e.g., IJCAI). It teaches authors how to structure their work to maximize clarity, emphasize broad AI significance, and ensure the paper is self-contained and accessible to a diverse, cross-disciplinary review committee.

A comprehensive guide for revising technical papers submitted to top-tier networking conferences (like INFOCOM). It emphasizes structural rigor, defensive writing techniques, pairing every claim with proportional evidence, and adhering strictly to page limitations to proactively address reviewer objections before the rebuttal phase.

This guide provides expert strategies for condensing complex technical research papers into strict academic page limits (e.g., four pages). It focuses on achieving the 'one-pass property' for expert reviewers by optimizing the abstract, introduction, methods, and results sections. Learn how to use protocol one-liners, consolidate tables, and structure claims for maximum rigor and impact under severe page constraints.

This guide provides structured rules for authors writing sensor-systems or information-processing papers. It emphasizes leading with the physical sensing problem, requiring real-hardware measurements for energy, latency, and ground truth, and adhering to strict academic formatting constraints. Use this when revising submissions to ensure technical depth and practical deployability.

A comprehensive guide for revising technical papers, specifically tailored for submission to top-tier robotics conferences like IROS. It teaches how to restructure narratives from 'demo-speak' to quantitative, evidence-based claims, focusing on a task-first opening, integrated system description, and mandatory figure-first presentation within strict page budgets.

A comprehensive guide for positioning highly technical research in top-tier academic venues like ISCA. It instructs authors on deep literature surveying across multiple databases (ACM, IEEE, dblp, arXiv), structuring the 'related work' section using structural differentiation (mechanism delta), and adhering to double-blind review guidelines. Essential for advanced technical paper writing.

This skill acts as a comprehensive router for Information Systems Research (ISR) manuscripts. It guides users through the entire academic writing lifecycle, from initial topic selection and theory development to method application, drafting, and rebuttal. It ensures the manuscript adheres to the sociotechnical and intradisciplinary standards required by top-tier IS journals, helping authors identify the next logical step.

A comprehensive guide for authors revising technical papers for top-tier conferences like ISSTA. It details the necessary structure, emphasizing strict scope definition, establishing clear evaluation contracts (subjects, baselines, metrics), pairing every claim with concrete evidence, and adhering to specialized review discipline.