Skill UI

A comprehensive preflight checklist for authors submitting manuscripts to Management Science (INFORMS). It systematically verifies adherence to crucial publishing standards, including double-anonymization, author-year formatting, abstract length constraints, fee/waiver eligibility, and the mandatory Code and Data Disclosure package using an AsCollected URL. Use this guide right before final submission to ensure maximum readiness.

This guide provides a comprehensive project management workflow for academic submissions to the MobiSys conference. It outlines the critical path, from initial system design and on-device measurement to final paper submission and artifact preparation. The workflow helps users plan backward from the single, crucial December deadline, managing device experiment lead time and mitigating common academic failure modes.

A comprehensive guide for authors writing for high-impact journals like Physical Review Letters (PRL). It addresses the strict 'deductible budget' model where figures, equations, references, and text all count against a single limit. Provides systematic steps to triage content—such as moving derivations to Supplemental Material, compressing figures, and tightening prose—to ensure the core scientific claims remain clear and within publication guidelines.

A comprehensive project management skill designed for academic submissions in Recommender Systems (RecSys). It guides users through the entire research lifecycle, from initial venue fit and data freezing to abstract submission, full paper writing, anonymous repository management, rebuttal drafting, and final camera-ready preparation. It provides backward-planning time offsets and risk identification.

This auxiliary skill helps researchers assess the suitability of their academic manuscripts in economics, social science, or management for submission to high-level journals like 'Reform of Economic System'. It provides comprehensive guidance on journal positioning, required theoretical depth, appropriate methodology, structural requirements, and common pitfalls, helping authors significantly improve their submission readiness and increase acceptance chances.

This skill provides comprehensive guidelines for submitting manuscripts to the journal *Science of Science and Management of S&T*. It helps researchers assess the article's fit, structure, required evidence (e.g., patent quality, network analysis), and common pitfalls associated with technology policy and innovation systems research, ensuring academic rigor.

A comprehensive methodological guide for researchers submitting data management papers. It helps users assess if their contribution is a fundamental system advance or merely an application. The guide provides detailed decision frameworks and comparisons between top-tier venues like SIGMOD, PVLDB, KDD, and PODS, ensuring the focus remains on the core data-management primitive.

This comprehensive guide walks authors through the rigorous academic review process, specifically referencing the Strategic Management Journal (SMJ). It teaches how to correctly interpret complex decision letters (e.g., Major Revision, Desk Reject), understand the roles of action editors and reviewers, and systematically identify critical concerns (such as contribution to theory or endogeneity). Use this skill when you need to structure a detailed revision plan and write a convincing rebuttal letter to a top-tier academic journal.

A comprehensive guide for positioning a paper for ACM SoCC. It instructs authors to write the related work section by bridging both systems literature (e.g., OSDI, NSDI) and data-management literature (e.g., SIGMOD, VLDB). Focus must be on stating the 'delta'—the unique difference—rather than merely listing citations, ensuring dual anonymity and covering all relevant technical lanes.

This guide helps researchers determine the ideal venue for their cloud computing research paper. It outlines the architectural boundaries between pure systems (OSDI/SOSP), pure data management (SIGMOD/VLDB), and the systems-data intersection (SoCC). It provides crucial tests, such as the model-swap and re-label tests, and advises on necessary evidence maturity (measurement studies, experience papers) to ensure a high chance of acceptance.

A detailed project management guide for submitting research papers to major cloud computing conferences like ACM SoCC. This workflow covers the entire lifecycle, from initial venue selection and evidence locking to abstract submission, rebuttal, and final acceptance. It provides critical backward planning heuristics and warns authors about common pitfall areas, such as insufficient measurement rigor or poor anonymity handling.

This comprehensive guide helps researchers determine if their project qualifies as a core data-management primitive, which specific PVLDB category (Regular, EA&B, Scalable Data Science, Vision) it belongs to, and whether a major data conference like VLDB or SIGMOD is the optimal submission venue. It provides a rigorous primitive test and detailed routing advice for top-tier data systems research.