Skill UI

A comprehensive guide to help researchers pressure-test if their project aligns with the scope of Population and Development Review (PDR). It teaches how to frame research by connecting demographic processes (e.g., fertility, aging) to broader social, economic, or environmental development issues, ensuring the contribution has broad policy interest beyond narrow estimation.

This guide details the strict requirements for data transparency and reproducibility when submitting manuscripts to the Population and Development Review (PDR). It covers creating data availability statements, depositing materials in FAIR repositories, documenting code with versions, and managing restricted data access, ensuring adherence to modern research integrity standards.

This guide helps polish and restructure academic manuscripts intended as 'perspectives.' It moves writing beyond simple summary by emphasizing a broad, provocative, and highly accessible voice for non-specialists. It ensures the article follows a specific narrative arc: framing the question, stating the claim early, maintaining signposting, and concluding with a concrete, future-facing agenda.

This tool assists researchers in structuring and drafting the critical cover letter for submissions to Physical Review Letters (PRL). The primary goal is to create a concise, editor-facing narrative that explicitly justifies the work's 'importance + broad-interest' criteria, convincing editors of its cross-disciplinary impact.

This skill guides researchers through the rigorous process of determining if a scientific finding meets the 'Importance' and 'Broad Interest' criteria required for top-tier physics journals, such as Physical Review Letters (PRL). It diagnoses venue fit, helping authors frame their work to maximize visibility and impact, without altering the core scientific result. Useful for optimizing manuscript submissions and developing a clear narrative for non-specialist audiences.

This skill helps authors determine the suitability of their research paper (analytical, empirical, or behavioral) for prestigious Operations Management journals like Production and Operations Management (POM). It provides detailed guidance on required scope, methodological rigor (e.g., identification strategies, model assumptions), structural requirements, and common pitfalls to ensure maximum publication potential.

This skill guides the creation of standard, high-quality exhibits for meta-analysis manuscripts, specifically adhering to APA 7th edition standards required by journals like Psychological Bulletin. It generates critical figures such as PRISMA flow diagrams, forest plots, funnel plots, and summary tables, ensuring the final report is self-contained, reproducible, and scientifically rigorous.

A comprehensive guide for academic authors adopting open science standards, based on TOP Guidelines. It outlines best practices for ensuring research reproducibility, covering data citation, data provenance documentation, data sharing via repositories (Dataverse/QDR), and managing restricted-data paths for various evidence types.

This guide helps authors polish the prose, abstract, and introduction of quantitative economics manuscripts for a general-interest Econometric Society readership. It emphasizes structuring the paper to clearly present both a substantive economic question and a quantitative method. It adheres to QE house rules, requiring findings to be communicated through point estimates with standard errors and confidence sets, rather than relying on statistical asterisks.

This tool guides researchers through pressure-testing their economic research ideas against the standards of top-tier, general-interest journals (like QJE). It helps diagnose whether a study's 'big idea' and broad implications are compelling enough, ensuring the focus is on the general lesson rather than just the technical method or narrow finding. Ideal for structuring academic arguments and improving manuscript scope.

This skill polishes scholarly prose, abstracts, and introductions to align with the narrative-driven, ambitious style of the Quarterly Journal of Economics (QJE). It focuses on making the core research contribution immediately legible to a general-interest, non-specialist reader, ensuring the big idea lands fast, even in long-form empirical papers. The skill guides users on structuring the 'introduction arc,' stating findings with concrete numbers, and minimizing technical jargon.

This skill provides a comprehensive framework for assessing whether an economics manuscript is suitable for the Quarterly Journal of Economics (QJE). It guides authors through evaluating the research scope (must be general-interest), evidence quality (requires clean natural experiments or quasi-experimental designs), narrative structure (leading with consequential findings), and adherence to rigorous academic submission standards.