Skill UI

An essential orchestrator for authors submitting manuscripts to Agricultural Systems. This tool guides users through the entire academic writing lifecycle, helping them determine the appropriate article type (e.g., Review, Perspective) and ensuring the core research question addresses true systems complexity, interactions, and trade-offs, rather than single-factor trials. It maps the manuscript stage to the necessary sub-skills.

A comprehensive guide detailing how to package all necessary supplementary evidence for academic submissions in AI, statistics, and machine learning domains. It covers best practices for ensuring reproducibility, including managing proofs, simulation scripts, benchmark data, random seeds, and minimizing metadata risks for reviewers.

This guide provides comprehensive best practices for preparing supplementary materials for major academic conferences like AISTATS. It details the proper structure and handling of appendices, mathematical proofs, code archives, and additional data tables, ensuring that the main paper remains fully understandable even if the supplementary material is ignored by reviewers. Essential for publishing high-quality, robust research.

A comprehensive guide for mathematicians writing complex, pure-mathematics manuscripts for high-level journals. It focuses on laying out the architecture of the argument, ensuring that the novel contribution (the 'crux') and the difficulty are clear to a non-specialist referee. Learn how to decompose proofs into named lemmas, outline the strategy upfront, and properly attribute external results.

A comprehensive strategy guide for mathematical authors to stress-test their proofs before submission. It outlines how expert academic referees rigorously review work, advising on strengthening weak steps, verifying external theorems, clarifying the core argument, and handling boundary cases to significantly improve the manuscript's rigor and chances of acceptance.

A comprehensive guide to the rigorous standards for structuring pure mathematics manuscripts, specifically detailing the proper use of appendices and auxiliary material. It teaches authors how to distinguish between the essential core argument (which must remain in the main text) and supplementary technical results, long computations, or background lemmas (which belong in the appendix). This ensures the main text remains focused while maintaining academic rigor and verifiability for peer review.

This guide provides a methodological framework for drastically streamlining complex academic models, whether theoretical or structural/empirical. It teaches how to Strip assumptions, retain only the necessary components, and present the argument such that the entire paper focuses on delivering one distinct, surprising insight. Generalizations and lengthy proofs belong in the appendix, keeping the main text maximally focused and concise.

A comprehensive guide detailing the complete academic review pipeline for IEEE/ACM Automated Software Engineering (ASE) submissions. It explains unique stages like the early-rejection gate, the criteria-bound revision process, and the difference between ASE's cycle and those of peer conferences (e.g., ICSE, FSE). Essential reading for authors aiming to submit high-quality research in automatic software engineering.

Provides comprehensive guidance for researchers deciding the optimal conference venue for Software Engineering (SE) research. It distinguishes between contributions that focus on *automation* (techniques or tools that automate SE tasks) suitable for ASE, versus those that are broad empirical findings, theoretical results, or pure ML advances, directing them to venues like ICSE, FSE, or ISSTA.

This guide provides best practices for organizing supplementary material and appendices in major conference submissions. It teaches authors how to maintain the core 11-page body's self-contained integrity while including necessary details (like full configurations, extended result grids, and full proofs) in appendices, ensuring the work remains robust even if reviewers do not read the supplemental content.

A comprehensive guide for authors targeting top-tier journals in systems and control theory (e.g., Automatica). This skill helps authors re-frame their work from narrow application studies to general, methodologically rigorous advances. It details the necessary components, including theoretical guarantees (stability, convergence, optimality), structured proofs, and necessary breadth to meet the highest academic standards.

This comprehensive skill guides researchers through the submission process for the Chinese Journal of Management Science. It covers the journal's core academic positioning (operations research, decision analysis, complex systems), required methodological rigor (model setting, algorithms, proofs), structural guidelines, and essential formatting checks. It helps authors assess manuscript fit and identify common rejection risks before official submission.