Skill UI

This comprehensive guide details the specific structural and stylistic requirements for submitting high-quality theoretical computer science papers to top-tier conferences like STOC. It addresses how to frame the initial theorem statement, structure the technical overview, maintain notation economy, and effectively budget the limited page space to ensure maximum academic rigor and readability for diverse expert audiences.

This guide outlines the rigorous process for submitting and evaluating research artifacts for academic conferences (TACAS/ETAPS). It details the mandatory two-round evaluation system, covering tool-demonstration papers and general research case studies. Authors must package their work to achieve badges like Available, Functional, and Reusable, ensuring maximum reproducibility and environmental compatibility on a clean virtual machine.

This skill polishes the prose and style of academic accounting manuscripts for submission to top-tier journals like The Accounting Review (TAR). It enforces strict house conventions, including adherence to the Chicago Manual of Style, structuring the abstract (max 150 words), ensuring findings are front-loaded, and maintaining rigorous author anonymization throughout the text for double-blind review.

A specialized guide for researchers targeting the journal Taxation Research. It helps users vet their manuscripts for alignment with the journal's scope, structure, and academic expectations. The skill covers core themes such as tax reform, digital taxation, and international tax, while providing detailed advice on abstract writing, citation styles, methodology strength, and avoiding common rejection pitfalls.

A comprehensive guide for authors targeting The EMBO Journal. This tool helps assess if a mechanistic molecular or cell biology manuscript is a good fit for the journal's rigorous standards. It covers required mechanistic depth, multi-line evidence expectations, house style, and provides a detailed, up-to-date submission checklist, ensuring authors maximize their chances of successful publication.

A comprehensive guide for authors to determine if their research proposal or manuscript meets the high standards and specific framing required by The Lancet Infectious Diseases. It covers scope fit, methodological evidence bars (e.g., CONSORT, STROBE), structural requirements, and global health implications, helping authors re-frame their work for maximum impact in this prestigious journal.

This guide assists authors in assessing whether their plant molecular or cell biology research meets the high mechanistic depth and rigor required by The Plant Cell journal. It covers required scope (e.g., hormone signaling, stress response), evidence standards (e.g., co-IP, ChIP-seq), and structural guidelines for maximizing submission quality and suitability.

This guide provides a strategic framework for drafting author responses to challenging peer reviews in academic conferences. It teaches authors how to structure replies by addressing four key axes (Correctness, Novelty, Backing, Clarity), ensuring technical precision, maintaining anonymity, and framing commitments that survive the subsequent Area Chair (AC) discussion phase.

This guide models the entire lifecycle of academic conference submissions, detailing stages like bidding, review writing, author response, and decision-making. It helps researchers strategically plan their work to maximize impact, preemptively address potential weaknesses, and optimize their research communication strategy in a competitive academic environment.

This guide details the strategic placement of content for academic submissions, dividing material into Main Part, Appendix, and Supplementary ZIP. It provides best practices for authors to manage proofs, protocols, and code while adhering to strict page limits and double-blind review constraints, ensuring maximum review integrity and clarity.

A comprehensive guide for authors submitting to venues focused on probabilistic AI, including UAI. It emphasizes achieving maximum formal rigor by enforcing strict notational discipline, clearly separating conditioning from intervention, explicitly stating assumptions, structuring the main body for maximum impact, and calibrating claims to match empirical evidence. Essential for papers involving graphical models, causality, and Bayesian methods.

A comprehensive guide detailing how to package and present research artifacts—including code, hardware designs, and datasets—for major academic conferences. It outlines best practices for both initial review-time evidence and long-term public reuse, ensuring reproducibility and maximizing the chances of adoption by future builders.