Skill UI

This skill guides the creation of rigorous, self-contained tables and figures (exhibits) for academic journals like Public Opinion Quarterly (POQ). It ensures that all visual data accurately report design-based uncertainty, weighting adjustments, and the base N, meeting the high standards required for empirical survey research.

This skill helps authors assess the suitability of their structural, computational, or econometric manuscript for top-tier quantitative economics journals. It guides authors on meeting the high bar for model rigor, identification transparency, and computational evidence required for publication in this field, acting as a comprehensive fit and re-framing tool.

A comprehensive guide for executing and stress-testing empirical analyses in Industrial Organization (IO). It covers structural and reduced-form model diagnostics, advanced inference techniques (e.g., wild-cluster bootstrap), counterfactual validation, and meeting the rigorous robustness standards demanded by top-tier academic journals. Focuses on methodology, not study design.

This guide provides comprehensive style and revision rules for manuscripts submitted to top-tier finance journals, such as the Review of Finance (RoF). It helps authors transform their research into highly polished, general-finance readable prose, focusing on structuring the abstract (under 150 words), adhering to double-blind anonymity, maintaining Chicago citation style, and meeting strict length constraints (e.g., 60-page cap). Use this when your core results are stable and you are polishing the final draft for publication.

Explains the RSS (Robotics: Science and Systems) double-blind review pipeline, two-stage threshold rebuttal, Area Chair meeting decisions, and author strategies for submissions and responses.

This comprehensive guide provides a final pre-submission checklist for authors submitting theoretical manuscripts to Sociological Theory (ST). It details critical requirements, including adherence to ASA style, ensuring double-anonymous masking, verifying conceptual contributions, and meeting specific journal formatting and ethical guidelines. Designed specifically for theory-only papers, it guides authors through the submission preparation process.

A comprehensive guide for authors writing theoretical computer science papers. It details how to position a result within the existing academic lineage, ensuring rigorous citation practices, managing version discrepancies (preprint vs. journal), and honestly comparing bounds against prior work. Essential for meeting the high standards of top-tier conferences like STOC.

This guide outlines the crucial, multi-stage process of converting a conditionally accepted academic paper into the final, publishable camera-ready version for top-tier conferences. It covers fulfilling rebuttal promises, meeting strict ACM accessibility standards (e.g., alt text for every figure and table), managing the ACM TAPS workflow, and finalizing all technical and logistical assets.

Outlines the mandatory, multi-stage process for authors preparing final, camera-ready papers for USENIX Security. This guide covers critical post-acceptance steps, including de-anonymizing the manuscript, ensuring all mandated artifacts are permanently available (Open Science policy), updating ethical considerations, and meeting publication standards before final submission deadlines.

This comprehensive guide outlines the rigorous standards required for achieving experimental reproducibility in systems research papers (e.g., VLDB). It instructs authors on disclosing critical context, including hardware specifications, software configurations, data provenance, workload patterns, and handling measurement variance. Adhering to these guidelines ensures that all performance claims are fully traceable from raw data to published figures, meeting the highest standards of academic review.

A comprehensive guide for authors preparing camera-ready submissions for Web Conferences. It covers the critical pre-acceptance steps, such as de-anonymization, restoring acknowledgements, managing ACM e-rights, and submitting associated artifacts. Learn how to navigate the tight production pipeline, ensuring compliance with ACM standards and meeting strict page limits.

This guide helps scholars assess if their social, economic, or cultural history manuscript aligns with the rigorous, problem-driven standards of Past & Present. It instructs authors on framing their research around a core "big question"—a genuine historical problem—ensuring comparative significance, adhering to historiographical expectations, and meeting specific academic standards like double-blind review and Chicago style.