Skill UI

A comprehensive guide detailing the rigorous methodologies for conducting and reporting high-level academic research. It covers norms for quantitative, comparative-historical, and computational analyses, emphasizing transparency, reproducibility, robustness checks (e.g., confounders, alternative specifications), and linking claims directly to evidence, suitable for top-tier social science journals.

A comprehensive guide for executing and reporting quantitative, computational, or experimental analyses for top-tier academic journals (e.g., BJPS). It outlines stringent norms for ensuring methodological rigor, transparency, and reproducibility, covering topics like uncertainty reporting, robustness testing, and measurement equivalence. This skill is essential when structuring the results section of a manuscript, particularly when facing expert peer review or preparing for data deposition.

This tool serves as the central workflow router for manuscripts targeting the British Journal of Political Science (BJPS). It guides the user through the entire academic writing and submission lifecycle, from initial topic selection and literature positioning to rigorous data analysis, writing style refinement, and final submission/rebuttal. It diagnoses the appropriate format (Article, Letter, Comment) and the next required skill stage, ensuring the research meets the journal's requirement for broad, general interest in political science.

A comprehensive guide detailing the selection of appropriate statistical estimators (e.g., DiD, Panel FE, ANOVA) for various research designs. It also outlines rigorous best practices for ensuring data integrity, conducting robustness checks, and adhering to journal code-sharing policies, ensuring highly reproducible empirical research.

This guide provides strict guidelines for compiling and formatting scholarly exhibits (tables, figures, and appendices) for top-tier accounting journals, such as CAR. It ensures compliance with academic style guides, requiring variable definitions, clustered standard errors, and self-contained presentation so that the results are immediately interpretable by reviewers. It is crucial for transforming raw analysis output into submission-ready academic materials.

This skill acts as a comprehensive router for the entire manuscript lifecycle directed towards publishing in Contemporary Accounting Research (CAR). It does not generate content but guides the user through the necessary steps, from initial topic selection and theory development to data analysis, contribution framing, and final rebuttal preparation. Use it when you are unsure of the next optimal step or are bouncing between different stages of writing.

Provides comprehensive guidelines for statistical analysis and reporting in biological manuscripts, particularly in cancer research. It teaches researchers how to correctly define 'n' (distinguishing biological from technical replicates), select appropriate statistical tests (ANOVA, survival analysis, etc.), and manage multiple comparisons, ensuring high scientific rigor and reproducibility in published data.

This skill acts as a comprehensive router for writing high-impact scientific manuscripts, such as those intended for Cell Press journals. It does not perform specialized analysis but guides the user through the optimal sequence of steps—from initial scope assessment and study design to statistical rigor, figure presentation, and final revision. Use this when diagnosing manuscript bottlenecks or determining the next logical writing stage.

This skill is a comprehensive guide for authors targeting the prestigious Cell journal. It meticulously analyzes the scientific fit, the required depth of mechanistic evidence, and the necessary adherence to publication standards like STAR Methods. It helps authors structure their work to meet Cell's high bar for conceptually transformative molecular and cellular biology discoveries.

This guide outlines the standardized requirements for declaring data and code availability in major scientific publications. It details mandatory best practices, including depositing raw data (e.g., sequencing, structures) and analysis code into approved, citable public repositories (such as GEO, PDB, Mendeley Data, and Zenodo). It also provides the required standardized three-bullet statement format for ensuring reproducibility.

Outlines the mandatory and highly structured STAR Methods reporting format required by top-tier scientific journals. This guide details the five critical sections: Key Resources Table (KRT), Resource Availability, Experimental Model Details, Method Details, and Quantification & Statistical Analysis (QSA). Adherence to this structure ensures transparent, reproducible, and accessible scientific reporting.

This guide details how to move beyond simple mediation analysis to establish robust, theory-driven causal mechanisms. It outlines advanced econometric strategies, such as exclusion methods, pre-specified heterogeneity testing, and temporal analysis, required to distinguish a primary effect from competing channels, meeting high academic standards.