Skill UI

This comprehensive router guides researchers through the entire process of developing, analyzing, and submitting a manuscript to the Journal of Accounting and Economics (JAE). It provides a structured roadmap, helping users determine the next critical step—from initial topic selection and theory development to advanced econometrics, contribution framing, and final submission preparation. It ensures that the work maintains a rigorous, economics-based argument using archival data, preventing common pitfalls like vague ideas or insufficient identification strategies.

This tool guides researchers through the critical initial phase of academic manuscript preparation. It tests whether a research question has genuine accounting relevance, a credible source of identifying variation (e.g., policy shock, rule change), clear economic stakes, and sufficient marginal contribution for top-tier accounting journals like JAR. It serves as a methodological fit check before any data collection begins.

A comprehensive workflow router designed for academic researchers submitting manuscripts to the Journal of Banking & Finance (JBF). This skill guides authors through the entire research lifecycle—from initial topic selection and literature positioning, to robust identification strategy, data analysis, and final rebuttal letter preparation. It ensures the manuscript meets the rigorous standards required by top-tier empirical finance journals.

A comprehensive guide for structuring and polishing empirical tables and figures for top-tier academic journals, such as the Journal of Business Venturing (JBV). It covers the standards for presenting descriptives, main model coefficients, interaction plots, survival curves, process models, and qualitative data structures. This skill ensures exhibits are self-contained, interpretable, and adhere to rigorous academic house styles.

This guide provides best practices for preparing code, data, and supporting artifacts for academic submissions, focusing on achieving reproducibility for peer review (especially in double-blind settings). It covers crucial steps including artifact anonymization, establishing clear data availability statements, structuring the repository (README, env, data, src), ensuring licensing compliance, and planning for permanent post-acceptance archiving.

This router skill guides researchers through the complex, multi-stage process of developing and submitting high-quality manuscripts for the Journal of International Marketing (JIM). It helps users navigate crucial steps, from initial topic selection and theory development (ensuring the international dimension is theoretical, not just setting) to rigorous methods design, data analysis (including invariance testing), and final submission preparation. It serves as a structural map for academic writing in international marketing.

This router guides authors through the entire lifecycle of writing a manuscript targeting the Journal of Monetary Economics (JME). It acts as a structured workflow navigator, helping diagnose bottlenecks and determine the next critical step—from initial topic selection and literature positioning to data analysis, writing style refinement, and final rebuttal preparation. It is essential for maintaining consistency with high-level academic journal standards.

This router is designed to guide authors through the entire lifecycle of a manuscript intended for the Journal of Management Information Systems (JMIS). It helps diagnose current bottlenecks and determines the optimal next step, covering topics from initial idea fit and theory development to methodology, data analysis, writing refinement, and submission/rebuttal preparation. It is tailored to JMIS’s specific focus on the management and economics of IS.

This guide helps researchers meet rigorous open science and transparency requirements, such as those mandated by journals like JAP. It details the process of depositing data, analysis code, and materials with persistent identifiers (DOIs), drafting comprehensive data-availability statements, and correctly managing prior-use disclosures and pre-registrations. Essential for ensuring research reproducibility and publication compliance.

A comprehensive checklist for auditing submissions to top-tier data mining conferences like KDD. This guide covers critical areas including track declaration, OpenReview profile completeness for all authors, adherence to strict page limits, double-blind anonymity rules, and quantifying post-launch performance evidence. Essential for maximizing acceptance chances.

This skill guides authors in assembling a comprehensive transparency package for academic submissions (especially meta-analyses). It ensures adherence to Open Science principles by detailing requirements for protocol preregistration (PROSPERO/OSF), depositing the coded database, codebook, and analysis scripts. It is essential for proving the full reproducibility of quantitative research findings.

This tool serves as an essential orchestrator for crafting and submitting research syntheses (such as meta-analyses and systematic reviews) for Psychological Bulletin. It guides users through the entire rigorous research lifecycle—from initial topic selection and literature searching (PRISMA) to data coding, meta-analysis, theoretical integration, and final manuscript preparation. It ensures that the project is correctly framed as a synthesis of existing work, not a primary study.