Skill UI

This skill provides a comprehensive guide for authors targeting the high-level academic journal, *Finance and Trade Economics*. It helps users assess if their manuscript's scope, methodology, and core contribution align with the journal's specific focus areas (e.g., fiscal policy, budget governance, international trade). It outlines strict submission formats, common rejection pitfalls, and alternative journal suggestions, ensuring academic rigor and proper positioning.

This guide instructs authors on crafting highly targeted and convincing robustness sections for empirical finance papers. Instead of merely adding volume, it teaches the concept of 'subtraction, then precision'—identifying specific alternative explanations (threats) a referee might raise (e.g., reverse causality, omitted variables) and selecting the minimal, most effective check to neutralize each threat. This aligns with the philosophy of top-tier financial journals that value new ideas over superficial testing.

This comprehensive guide outlines the high standards and scope required for publishing in Food Chemistry. It emphasizes rigorous analytical chemistry, detailed method validation (LOD/LOQ, precision), quantified compositional results, and strong chemical mechanism interpretation. Use this tool to assess whether your manuscript meets the necessary scientific rigor for this specialized journal.

This guide outlines the mandatory open data and code requirements for publishing in Global Change Biology (GCB). It details that primary and secondary data, along with supporting code/software, must be archived in public, DOI-minting repositories (e.g., Dryad, Zenodo) prior to acceptance. It emphasizes that 'available on request' is not accepted and provides a structured checklist for ensuring reproducibility and proper metadata submission.

This guide assists authors planning to submit to Games and Economic Behavior (GEB) by detailing best practices for data and code sharing. It clarifies that while data deposition is strongly encouraged for reproducibility, it is not a mandatory requirement. It outlines what to prepare, including raw data, analysis scripts, experimental instructions, and proper availability statements.

This skill provides a rigorous academic review framework for determining if a research paper significantly advances the frontiers of game theory and its applications. It assesses conceptual advances, mechanism design robustness, behavioral novelty, and cross-field reach, guiding authors on whether their work meets the high standards of top-tier academic journals like GEB. Ideal for assessing high-level theoretical or empirical contributions.

Provides comprehensive guidelines for designing scientific exhibits, including figures, tables, maps, and Highlights, for interdisciplinary, policy-relevant manuscripts. It emphasizes making data self-contained, focusing on the human/policy dimensions rather than just biophysical trends, and ensuring accessibility across various formats (grayscale, print).

This skill guides authors in determining the suitability of their manuscripts for the journal Genome Biology. It details the journal's scope, which requires integrating large-scale genomic or epigenomic data with novel computational methods or statistical frameworks. It emphasizes that successful submissions must provide both methodological advances and meaningful biological insights, adhering strictly to standards like open-source code, public data deposition (GEO, SRA, ENCODE), and rigorous benchmarking.

A comprehensive toolkit for validating and converting genomic interval coordinates across diverse file formats (e.g., BED, VCF, GFF/GTF, SAM/BAM) and assembly versions (e.g., GRCh37, GRCh38). It solves complex issues like 0-based vs 1-based conventions, half-open vs inclusive ranges, and variant representation normalization, ensuring data integrity in bioinformatics pipelines.

This skill guides authors to evaluate if their ecology or biology manuscript meets the rigorous standards of Global Change Biology. It focuses on the necessity of linking research findings to explicit global-change drivers (e.g., warming, elevated CO2) and providing robust biological evidence, from molecular mechanisms to ecosystem-scale consequences.

This guide outlines the best practices and norms for executing and reporting empirical analyses in governance and comparative political science. It covers essential methods including cross-national inference, clustering uncertainty, robustness checks, multi-method triangulation, and ensuring reproducibility, guiding researchers to conduct rigorous, publication-ready studies.

This guide provides comprehensive principles for designing high-impact, self-contained tables and figures for academic manuscripts. It focuses on cross-national comparisons, event studies, and coefficient plots, ensuring the visual argument is clear, reproducible, and readable in grayscale, adhering to rigorous academic standards.