Skill UI

This guide provides a comprehensive checklist for auditing experimental rigor in chemical manuscripts, particularly for high-impact journals like JACS. It covers necessary characterization data for new compounds, including NMR, HRMS, elemental analysis, and stereochemistry, and ensures mechanisms and catalytic claims are fully supported by appropriate controls and data.

A comprehensive framework for conducting rigorous empirical data analysis required for top-tier academic journals. It guides users through building transparent archival samples, specifying appropriate panel data estimators (like firm/year fixed effects), ensuring correct standard error clustering, and executing sophisticated identification strategies (e.g., Difference-in-Differences, Instrumental Variables). Essential for addressing endogeneity and passing deep reviewer scrutiny.

Comprehensive guidelines for preparing and reporting complex empirical evidence across various methodologies (SEM, econometrics, design science, qualitative). This guide ensures results meet the high academic standards of top-tier journals by emphasizing theoretical traceability, statistical rigor, and required data transparency, including full correlation/covariance matrices.

This specialized router guides authors through the entire manuscript development lifecycle for submission to the Journal of the Association for Information Systems (JAIS). It does not write the paper, but rather diagnoses the current stage (e.g., vague idea, need for theory, data analysis, or rebuttal) and recommends the precise specialized jais-* skill needed next. It is essential for maintaining the theoretical focus and structural integrity required by JAIS.

A comprehensive guide for authors preparing medical manuscripts for high-impact journals. It outlines rigorous standards for statistical reporting, emphasizing the use of effect sizes with 95% Confidence Intervals (CIs) over p-values alone. Key topics include pre-specification, intention-to-treat analysis, multiplicity control, handling missing data through imputation, and reporting both relative and absolute effects to ensure maximum statistical rigor and reproducibility.

A comprehensive guide for authors to select, defend, and strengthen the internal validity of clinical study designs (RCT, Cohort, Diagnostic, etc.). It provides detailed safeguards—covering topics like intention-to-treat analysis, confounding control, blinding, and power calculations—to ensure manuscripts meet the rigorous reporting standards of top-tier medical journals like JAMA.

This tool acts as a workflow router for preparing clinical manuscripts for high-impact journals like JAMA. It does not replace specialized writing or analysis skills but guides the user through the correct, sequential stages—from initial scope assessment to final submission and revision—ensuring all necessary standards (e.g., EQUATOR, CONSORT) are addressed in the proper order.

A comprehensive guide for empirical marketing researchers on selecting appropriate advanced statistical estimators (SEM, HLM, DiD, etc.) and adhering to rigorous academic reporting standards (APA style, effect sizes, fit indices). Crucially, it guides users on translating complex statistical findings into actionable, managerially relevant insights for journals like JAMS.

A comprehensive guide for structuring and validating empirical research designs (Survey/SEM, Secondary Data, Experiments, Meta-analysis) intended for high-impact journals. It addresses critical methodological issues such as construct validity, endogeneity control, robust identification strategies, and ensuring overall rigor across diverse academic genres.

This skill acts as a comprehensive router for manuscripts aiming at the Journal of the Academy of Marketing Science (JAMS). It guides researchers through the complex, multi-stage process of academic writing—from initial topic selection and theoretical development to data analysis, writing style, and revision strategies (R&R). Use it to diagnose bottlenecks or determine the optimal sequence of specialized marketing science skills needed for high-impact publication.

A comprehensive guide for econometricians submitting manuscripts to top journals. It details how to structure analyses for full reproducibility, including using master scripts, pinning software versions, and exporting results to plain-text formats. Coverage includes advanced robust inference techniques such as HAC, cluster bootstrapping, and weak-IV diagnostics, ensuring the work satisfies rigorous archival standards.

A comprehensive orchestrator skill guiding the entire lifecycle of an applied econometrics manuscript targeting the Journal of Applied Econometrics (JAE). It ensures the paper maintains an applied, real-data focus and rigorously follows the necessary steps, including literature positioning, identification strategy, reproducible data analysis, and mandatory data archival deposit. Designed to prevent common pitfalls by integrating data integrity checks at every stage.