Skill UI

This comprehensive guide provides authors with a critical preflight checklist for submitting academic manuscripts to major journals (e.g., SAGE Track). It ensures compliance with strict guidelines, covering anonymization, word count adherence, abstract structure, ORCID linking, and robust data availability statements. Use this tool to minimize the risk of desk rejection due to formatting or procedural errors.

A comprehensive guide for drafting a single-page academic rebuttal after conference reviews (e.g., CVPR). It teaches authors how to strategically address multiple reviews, correct factual errors, and clarify scope within strict formatting and content limitations, focusing on the Area Chair's perspective and emphasizing data over adjectives.

This comprehensive guide helps researchers revise NLP research papers for top-tier conferences like EACL. It focuses on structuring the argument for fast legibility by emphasizing a clear Task-Gap-Method-Result-Scope arc, quantifying results with statistics, performing detailed error analysis, and maintaining academic rigor, anonymity, and multilingual clarity. Ideal for polishing conference submissions.

This guide outlines comprehensive standards for creating self-contained, reproducible, and highly professional tables and figures for top-tier academic journals. It covers best practices for econometric reporting, including Monte Carlo error presentation, consistent precision, adhering to booktabs style, and ensuring every piece of data is traceable back to a fixed script and seed.

A comprehensive guide for authors preparing manuscripts for top economics journals (e.g., EER). It details best practices for designing self-contained tables and figures, emphasizing the correct reporting of standard errors (SEs), confidence intervals (CIs), and interpreting results cleanly. This guide ensures exhibits adhere to rigorous academic publishing standards, moving beyond simple star counts to let the magnitude of the result speak for itself.

This guide provides best practices for revising academic manuscripts intended for top-tier economics journals, such as the European Economic Review (EER). It teaches authors how to shift their writing focus from highly technical, field-internal jargon to a general-interest, compelling narrative. Learn to structure the introduction with a clear arc, present result-forward abstracts, write actionable research highlights, and properly report findings using standard errors (SEs) rather than significance asterisks.

This guide provides rigorous standards for developing figures and tables in Earth and Planetary Science Letters (EPSL). It emphasizes making complex scientific arguments legible to a cross-disciplinary audience by mandating visible uncertainty (error ellipses, error bars), providing spatial context, and adhering to strict sub-field conventions (e.g., MSWD, depth scales). It teaches how to structure exhibits so that figures carry the argument, while detailed data resides in the supplementary material.

A comprehensive guide for structuring academic empirical research projects to ensure the full reproducibility of findings. This methodology covers standard folder layouts, master scripting, data provenance documentation, and best practices required for passing rigorous peer review scrutiny, thereby preventing data loss and calculation errors during revisions.

A comprehensive guide for structuring the robustness section of empirical economic research. It teaches how to organize checks based on the specific identification threat they address, such as endogeneity, selection bias, or measurement error, ensuring the analysis is academically rigorous and defensible.

This skill provides comprehensive guidance for authors submitting Information Retrieval (IR) manuscripts to the European Conference on Information Retrieval (ECIR). It assists in strategically positioning the work by defining scope fit, structuring the evidence (e.g., baselines, error analysis), aligning with the rigorous standards of the European IR community, and guiding the differentiation of the contribution against similar top-tier venues like SIGIR or CIKM. Essential tool for pre-submission refinement.

A detailed guide for creating scientifically rigorous, self-contained figures and tables (exhibits) for agricultural manuscripts. It covers best practices for reporting quantitative data, including mandatory elements like error terms (SED/LSD), proper plot selection (e.g., AMMI/GGE biplots, response curves), and ensuring accessibility and reproducibility for agronomy reviewers.

This guide provides strict guidelines for structuring and presenting empirical results (tables and figures) in financial management manuscripts. It emphasizes making the main coefficient and its practical economic magnitude legible at a glance, adhering to high-standard journal norms (e.g., Wiley/FMA style). It covers best practices for event-study plots, IV tables, and ensuring standard errors and economic significance are always visible.