Skill UI

This guide outlines strict guidelines for formatting tables and figures required for submission to the Journal of Marketing Research (JMR). It details managing the crucial 50-page manuscript limit versus the Web Appendix, ensuring all statistics adhere to AMA style (e.g., reporting exact p-values, standard errors, and effect sizes). It is designed for authors who need to transform raw results into publication-ready, self-contained, and compliant academic exhibits.

A comprehensive guide designed to help researchers target specific academic journals, using the Central University of Finance and Economics (CUFE) Journal as a primary example. It provides deep insights into the journal's scope, required structure, common acceptance criteria, and high-risk rejection areas for economics and management manuscripts. This skill helps users frame, revise, and optimize their papers for optimal publication fit.

This guide details the strict conventions for preparing exhibits in linguistics manuscripts, such as numbered examples, Leipzig-style interlinear glosses, IPA transcriptions, and quantitative data tables. It ensures that academic papers maintain high standards of clarity and rigor for publication, covering everything from morpheme alignment to effective figure alt text.

A comprehensive guide for revising technical submissions, particularly in computational linguistics and NLP. It details how to enforce linguistic scope discipline, present examples as verifiable arguments, structure the first page for maximum impact, anticipate reviewer limitations, and maintain strict terminology consistency for high-stakes academic publishing.

This tool enforces compliance with major international reporting guidelines (such as CONSORT, STROBE, and PRISMA) for clinical and observational studies. It guides authors through selecting the correct checklist, generating mandatory flow diagrams (e.g., participant flow), and ensuring rigorous reconciliation of numbers across the entire manuscript to meet the exacting standards of top-tier medical journals.

This skill guides authors on how to strategically position their machine learning research against complex academic landscapes. It covers comparing work to neighboring conferences (ICML, ICLR), analyzing contemporaneous preprints, and defining the exact technical delta from prior methods to minimize novelty risk for top-tier AI venues.

A comprehensive skill for assessing whether a neuroscience manuscript meets the exacting standards of a top-tier journal. It guides authors through evaluating the conceptual advance, mandatory multi-level integration (molecular to behavioral), the necessity of causal intervention, and adhering to strict structural and methodological requirements (e.g., STAR Methods, data availability). Ideal for researchers aiming to refine their work before submission.

A comprehensive guide for authors aiming to submit top-tier technical papers (like those for OOPSLA). It teaches how to transform descriptive drafts into highly verifiable, structured academic arguments. Focus areas include developing running examples, articulating falsifiable claims, optimizing article pacing, and anticipating reviewer challenges to maximize the chances of acceptance.

This guide teaches authors how to perform a critical intervention in academic review essays. It provides a structured framework to move beyond mere summary, helping writers identify field blind spots, unexamined assumptions, or false binaries. By learning techniques like dissolving binaries and re-scaling arguments, you can re-order academic debates and elevate a standard review into a groundbreaking, high-impact contribution.

This guide outlines the rigorous data and transparency requirements for submitting academic manuscripts, particularly for social science journals. It details two core components: methodological disclosure via 'Appendix A: Disclosure Elements' and building a complete replication package. Authors must ensure all published tables and figures can be reproduced exactly using deposited data and code in a permanent archive (Dataverse) before the paper advances to typesetting.

A detailed guide modeling the complex academic review machinery, using SIGIR as a primary example. It covers everything from per-track anonymity regimes and PC-member nomination duties to the critical scoring criteria: evaluating validity, fairness of comparison, and statistical rigor. Essential reading for authors preparing high-stakes research submissions.

A comprehensive guide for structuring and refining high-quality database systems research papers for top-tier conferences like SIGMOD. It covers essential components such as establishing a clear page-one contract, integrating running examples, scoping measured system claims, adopting third-person voice, and adhering to the 12-page ACM template structure for maximum technical impact.