Skill UI

A comprehensive guide to strengthening the quantitative research design for communication manuscripts. It covers best practices and methodological rigor for experiments (lab/online), panel surveys, and content analysis. Learn how to pre-register designs, control for common confounds (e.g., common-method variance), and rigorously establish causality, helping you defend your work against skeptical reviewers.

This skill automatically converts structured data from Excel (.xlsx) workbooks into a clean, readable Markdown format. It is essential for enabling accurate analysis, summarization, and data extraction of spreadsheet contents, especially when the user asks to 'read', 'analyze', or 'compare' data without specifying a conversion method. It supports both single files and batch processing of entire folders.

This guide provides comprehensive guidelines for creating professional, compliant, and scientifically rigorous figures, tables, and the mandatory Table of Contents (TOC) graphic for scientific manuscripts. It emphasizes self-contained data presentation, showing uncertainty, accessibility, and optimizing content placement between the main article and supporting information.

A comprehensive guide for authors preparing submissions for ICDE conferences. It details how to properly segment content into the main 12-page body versus the supplementary material, ensuring the core argument remains self-contained while providing reviewers with runnable artifacts, extended experiments, and full technical documentation.

A comprehensive guide for assembling the required data and code replication package for manuscripts submitted to the Journal of the European Economic Association (JEEA). This package ensures compliance with the DCAS standard, enabling the journal's Data Editor to verify the reproducibility of empirical, simulation, or experimental results before formal acceptance. It outlines the mandatory structure, README contents, and execution steps.

This skill adapts scholarly drafts to the specific, rigorous style of the Journal of Financial and Quantitative Analysis (JFQA). It enforces quantitative prose, strict formatting (e.g., 100-word abstract, TNR 12pt, double-spacing), and structural rules necessary for high-impact finance submissions. Use it to polish content, ensure precision, and guarantee compliance with top academic journal standards.

This comprehensive guide assists researchers in strengthening the methodological rigor of communication studies manuscripts. It details best practices for experimental design, surveys, content analysis, and computational pipelines, helping authors preemptively address common reviewer critiques regarding causality, sample validity, and internal/external validity.

A comprehensive skill for researchers targeting top international economics journals, such as the Journal of International Economics. It provides detailed guidelines on content fit, structuring arguments, required quantitative modeling rigor (e.g., credible identification, counterfactuals), and adherence to current academic house styles for international trade, open-economy macro, and finance research. Use this for venue selection and pre-submission self-checking.

This guide provides rigorous standards for transforming complex behavioral and risk data into clear, statistically sound, and academically rigorous tables and figures. It ensures that key decision-theoretic content, such as choice patterns, parameter estimates, and uncertainty, are visibly and interpretably presented for academic publication.

A comprehensive guide for researchers developing models in decision theory under risk and uncertainty. It outlines how to strengthen theoretical representations by ensuring the model is anchored by clear axiomatic foundations, a mathematically tractable functional form, and crucially, verifiable behavioral content (i.e., what the model predicts or forbids). This helps bridge the gap between abstract theory and empirical data.

A comprehensive style guide for revising research papers to meet the specific, high standards of KDD conferences. It details the expected structure of the first page, emphasizing data regimes, named mechanisms, and quantifiable evidence (scale, metrics). It also provides rules for differentiating research vs. applied data science (ADS) voices and optimizing content for two-column, page-limited formats.

This guide provides comprehensive standards for formatting tables and figures for high-level academic journals. It details rigorous requirements, such as adhering to the three-line table format (booktabs), limiting columns, correctly placing standard errors, and ensuring figures meet minimum DPI and color constraints. Use this when transforming raw statistical outputs into publication-ready, professional content.