Skill UI

Provides a comprehensive guide for drafting a robust "Revise and Resubmit" rebuttal letter, especially for cross-disciplinary journals. It teaches authors how to simultaneously satisfy both methodology (identification) and policy relevance reviewers, protecting the core findings while addressing every comment point-by-point with evidence and reasoned arguments.

This guide provides a rigorous framework for evaluating whether a research question is suitable for high-impact policy journals (like JPAM). It trains users to structure ideas by confirming three critical elements: establishing a specific, policy-relevant intervention (the policy), identifying the decision-maker and the counterfactual choice (the decision), and confirming a credible, causal design (exogenous variation). It ensures the research has both empirical rigor and real-world policy stake.

Provides comprehensive methodological guidelines for designing rigorous studies in public policy and marketing. The framework covers both prospective (e.g., realistic experiments) and retrospective (e.g., DiD, RDD) evaluation designs, emphasizing the necessity of establishing a strong counterfactual basis and ensuring policy relevance in data collection and analysis.

A comprehensive guide for authors responding to major revisions in academic journals, particularly in policy and marketing research. It teaches how to systematically convert vague reviewer demands (e.g., "improve contribution") into concrete, visible analytical work, ensuring the response is both methodologically rigorous and policy-relevant.

A specialized guide for refining scholarly manuscripts intended for public policy and marketing journals. It teaches how to structure the introduction around the concrete policy problem, write an actionable 200-word abstract, and maintain a tone of evidence rather than advocacy. The goal is to ensure the prose is clear and highly readable for both academic experts and non-technical policy practitioners.

This router guides authors through the entire academic manuscript lifecycle for submissions to the Journal of Public Economics (JPubE). It diagnoses structural bottlenecks and ensures that the research meets all critical gates, starting from initial topic selection and contribution framing, through rigorous data analysis, figure design, drafting, and finally preparing for submission and rebuttal.

A comprehensive guide for assembling a fully transparent and reproducible research package required for academic submissions (e.g., JRU/Springer). It structures the necessary components—including full experimental instructions, source code (z-Tree/Qualtrics), estimation scripts, and de-identified data—to allow any external party to replicate the study's findings end-to-end. Focuses on both procedural reproducibility and structural econometrics re-runnability.

This specialized router guides authors through the complex, multi-stage process of writing a manuscript for the Journal of Risk and Uncertainty (JRU). It diagnoses the current bottleneck—be it theoretical representation, empirical elicitation, structural estimation, or writing style—and directs the user to the most appropriate specialized skill needed to advance the research, ensuring the core focus remains on decision-making under risk and uncertainty primitives.

A comprehensive routing tool designed to guide authors through the entire lifecycle of a clinical or global-health manuscript intended for submission to The Lancet. It diagnoses bottlenecks and suggests the next specialized skill to use, ensuring the manuscript meets high standards of clinical importance, global relevance, and policy impact. It covers stages from initial concept and design to reporting, writing, and rebuttal.

This router guides authors through the rigorous, theory-first pipeline required for mathematical finance manuscripts. It helps determine the current stage (e.g., topic selection, proof architecture, contribution framing, revision) and identifies the critical bottleneck, ensuring the paper meets the high standards of major academic journals. Useful for starting new papers or troubleshooting mid-project issues.

This guide assists researchers in selecting and rigorously defending the appropriate methodology for Management Science (INFORMS) manuscripts. It covers both analytical modeling approaches (e.g., optimization, stochastic processes, game theory) and empirical designs (e.g., quasi-experiments, field trials). It ensures the chosen design not only matches the research question but also meets strict departmental standards and generates decision-relevant managerial insights.

This guide details best practices for generating self-contained, high-impact exhibits (tables and figures) for academic journals, particularly those with strict page limits like Management Science. It instructs users on structuring both theoretical proofs (analytical lane) and empirical results (e.g., regression coefficients, event-study plots) to ensure the findings are immediately readable and persuasive, even without reading the main text.