Skill UI

This skill provides a comprehensive checklist and guide for authors targeting the Journal of Hydrology. It helps authors assess the fit of their manuscript, covering scope alignment (surface/subsurface hydrology), required scientific advance, methodological rigor (validation, uncertainty), and adherence to Elsevier house style. Use it for pre-submission venue selection and quality assurance.

This tool assists authors in positioning their academic manuscripts for the Journal of Macro-quality Research. It provides deep insights into the journal's scope, methodological preferences (macro econometrics, CGE, quality measurement), structural requirements, and common rejection pitfalls. It helps users tailor their writing and submission strategy to maximize acceptance chances.

A comprehensive guide for generating high-quality, self-contained exhibits for policy journals. It emphasizes communicating the main policy effect, its uncertainty, design validity, and cost-benefit implications to a mixed audience of economists and policy practitioners, ensuring maximum decision-legibility.

This guide details the optimal structure for writing a high-quality literature review, especially for quantitative economics journals. It advises users to avoid chronological descriptions and instead organize the review around the core method lineage (how a quantity is measured, forecasted, or decomposed) and the specific application gap in China's data context. This ensures the literature review logically and powerfully leads to the paper's unique contribution.

This comprehensive guide details professional standards for presenting complex empirical economic results (tables and figures) for top-tier journals like The Journal of World Economy. It instructs users on simplifying main regression tables, standardizing notes (clustering, significance), and correctly presenting specialized open-economy objects such as event studies, gravity regressions, and GVC decompositions, ensuring research meets publication quality.

A comprehensive guide for structuring the empirical section of high-level machine learning papers (e.g., KDD). It details the 'four-axis evidence plan'—Quality, Scale, Efficiency, and Mechanism—and emphasizes critical data hygiene practices. Learn how to prevent temporal leakage, structure ablations in a matrix format, and design post-launch measurements to ensure academic rigor and reproducibility.

This guide details the demanding review standards of top-tier academic journals, focusing on the triple-anonymous, quality-only criteria. It helps researchers understand how submissions are evaluated against expert objections, ensuring manuscripts are structured to anticipate critiques and maximize acceptance chances before formal submission. It serves as a critical pre-submission stress-test.

Provides rigorous guidelines for structuring and writing high-quality academic literature reviews, specifically tailored for journals like Management World. It mandates a unique three-layer dialogue structure (international context, local Chinese research, and original contribution), addressing issues like language source imbalance or lack of scholarly dialogue. Covers precise ratios for Chinese and English sources, and integration with national policy narratives.

This guide outlines the scope, theoretical expectations, and methodological requirements for submitting high-quality academic research to the Nankai Business Review. It targets studies in strategic management, organizational behavior (OB), HRM, and marketing that build management theory grounded in the Chinese context, requiring strong theoretical contribution and rigorous empirical or qualitative methods.

This guide details the rigorous process of converting an accepted NDSS paper into the final open-access, camera-ready version. It covers mandatory steps such as fulfilling revision conditions, deliberately de-anonymizing the work (restoring vendor names, DOIs, and disclosure specifics), adding earned artifact badges, and completing a comprehensive production checklist to ensure publication quality for the Internet Society proceedings.

A comprehensive checklist for authors preparing to submit academic conference papers. This guide details mandatory final audits covering double-blind anonymity, ethical compliance, formatting standards, conflict declarations, and the strict submission timeline, ensuring the paper passes pre-upload quality gates.

This skill simulates the rigorous peer review process used in top-tier AI and machine learning conferences (like NeurIPS). It helps users diagnose potential weaknesses in a submission regarding quality, clarity, significance, ethical compliance, and reproducibility. It guides the identification of decision-relevant issues that ACs and reviewers are likely to raise, helping authors strategically plan responses for revision.