Skill UI

A comprehensive guide for authors writing the Related Work section for high-impact journals (e.g., Acta Electronica Sinica). It teaches how to structure the review critically, moving beyond mere chronology to organize by technical path, defining scope, articulating clear technical deficiencies, and precisely positioning the paper's novelty against state-of-the-art methods.

This guide provides comprehensive rules for authors revising technical papers for top AI/Statistics conferences like AISTATS. It emphasizes achieving statistical rigor, explicitly stating assumptions, pairing every claim with proof or evidence, ensuring conciseness (e.g., adhering to an 8-page limit), and maintaining double-blind academic style. Perfect for PhD students or researchers preparing manuscripts for highly technical review.

This guide provides comprehensive strategies for drafting and revising highly technical academic papers for top-tier conferences like ASPLOS. It focuses on structuring the core argument around cross-layer insights, ensuring claims are quantifiable and bounded, and optimizing the entire manuscript to survive rapid peer review and strict page limitations.

A comprehensive guide for authors submitting to top-tier security conferences like CCS. It provides rigorous rules on establishing explicit threat models, quantifying security claims with measurable evidence, structuring the core technical argument, and effectively compressing complex research into limited page limits. Essential for academic publication in the field of cybersecurity.

A comprehensive guide for authors submitting storage-related research to top-tier conferences (e.g., USENIX FAST). It dictates how to structure the paper, emphasizing leading with the specific storage cost addressed (e.g., write amplification, tail latency, endurance) and grounding all claims in proportional, real-device evidence rather than generic performance statements. Essential for ensuring technical rigor and reviewer trust.

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 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.