Skill UI

This skill provides a comprehensive project management framework for submitting research papers to SIGMETRICS. It guides users through the complex, multi-stage process, including evidence lock, abstract registration, handling rolling deadlines, one-shot revisions, and final publication preparation. It emphasizes backward planning heuristics and mitigating common academic failure modes.

A specialized guide for structuring the literature review of a sociological methods manuscript. It teaches authors how to position their contribution not against the topic, but against established methodologies. Users learn to map their work against prior estimators, cross-discipline techniques (statistics, econometrics, psychometrics), and competing approaches to maximize academic credibility.

A comprehensive guide for designing rigorous Monte Carlo simulation studies, particularly for methods-heavy academic submissions (e.g., SMR). This guide covers specifying the Data Generating Process (DGP) space, selecting non-negotiable competitor methods, choosing appropriate performance metrics (e.g., power, bias, coverage), and critically reporting the limitations and failure regimes of the proposed method to ensure maximum credibility and reproducibility.

A comprehensive pre-submission checklist designed for academics submitting manuscripts to scholarly journals. It covers crucial formatting rules, such as specific citation styles (Author-Date), bibliography standards (GB/T 7714), appropriate use of footnotes, abstract/keyword length limits, and guidelines for maintaining anonymity during the review process. Essential for ensuring submissions meet strict academic publishing requirements.

A comprehensive guide for authors submitting theoretical computer science papers to SODA. It clarifies the distinction between SODA (theory-led) and ALENEX (experiment-led), advising on when and how to incorporate numerical evidence. The protocol details best practices for honest numerics, including instance generation discipline, claim-class labeling (illustration, evidence, motivation), and proper submission routing to ensure academic rigor.

A comprehensive guide for authors preparing and auditing submissions for SODA (ACM-SIAM Symposium on Discrete Algorithms). Covers critical guidelines including the no-page-limit full version requirement, strict formatting rules (11pt, single column), lightweight double-blind rules, HotCRP mechanics, and an hour-by-hour checklist for the final submission window.

This skill helps authors assess the fit of their manuscripts for the journal Studies in Labor Economics. It analyzes whether the research theme, methodology, and contribution align with core labor economics topics (e.g., wages, employment, skills, social security). It provides detailed guidelines on structuring, required evidence, and potential revision directions before formal submission.

A comprehensive tool for assessing whether an econometric manuscript is suitable for submission to The Econometrics Journal (EctJ). It guides authors through evaluating methodological novelty, theoretical rigor, structural compliance, and adherence to high academic standards, covering everything from new estimators and inference procedures to house style and potential desk-reject risks. Use this skill when targeting a highly specialized economic journal or needing to re-frame an applied study into a theoretical methods contribution.

This skill guides authors on positioning foundational and conceptually general robotics research for submission to The International Journal of Robotics Research (IJRR). It evaluates the manuscript's depth, generality, and conceptual framework, helping authors re-frame single-demonstration results into field-advancing principles. It also assists in choosing between IJRR and competing venues like IEEE Transactions on Robotics (T-RO).

This guide provides a rigorous methodology for achieving scientific reproducibility in technical and user experience papers (e.g., UIST). It details three essential 'ledgers': the Build Ledger (pinning software, hardware, and environment dependencies), the Measurement Ledger (defining precise protocols for metrics like latency and accuracy), and the Study Ledger (documenting human evaluation tasks). Following these protocols ensures that external researchers can accurately rebuild the artifact and validate reported results.

This comprehensive guide details the academic submission lifecycle for USENIX Security. It maps out the multi-stage review pipeline, from initial submission through early rejection to final notification. It critically updates authors on the current decision vocabulary (e.g., Shepherd Approval, retired major revisions), emphasizing mandatory review foci like ethics adequacy, threat-model realism, and openness posture for strategic planning.

A comprehensive guide for authors submitting to top-tier visualization venues (like IEEE VIS/TVCG). It teaches authors how to write the 'Related Work' section by adopting a 'delta-first' contrast approach, demonstrating novelty by clearly positioning the new work against prior art across multiple adjacent domains, including HCI, Graphics, and other regional visualization venues.