Skill UI

This skill guides authors on crafting authoritative, comprehensive, and critical reviews for top-tier materials science journals. It emphasizes moving beyond simple literature summaries to provide deep, balanced, and critical synthesis of an entire field's state-of-the-art. Use this when developing a major review manuscript or determining if your work fits the scope of a high-impact, field-spanning publication.

This guide details the mandatory open science requirements for modern academic publishing, particularly in psychological sciences. It covers essential practices such as depositing open data and materials with DOIs, drafting a Research Transparency Statement, linking preregistrations, and properly handling exemptions. It ensures manuscripts meet the high standards of reproducibility and transparency required by top-tier journals.

A comprehensive guide for authors responding to Revise-and-Resubmit (R&R) reviews in top psychological journals. It teaches how to structure a point-by-point rebuttal letter, maintain scientific credibility, address demands for robustness and transparency, and manage strict word count limits without compromising scientific rigor.

This guide details the rigorous evaluation criteria used by top-tier psychological journals, focusing on the robustness, transparency, and quality of preregistration. It helps authors stress-test their manuscripts before submission, pre-empt common rejection reasons, and strategically shape their work to increase the likelihood of publication acceptance.

This skill guides the planning of psychological studies to meet the highest academic standards. It provides comprehensive methodologies for performing power analysis, justifying sample sizes, and implementing preregistration protocols. Use this when initiating a new research project or developing a pre-analysis plan to ensure the study design is robust and transparent.

A guide for structuring the theoretical framework and hypotheses section of a psychological science manuscript. It emphasizes academic rigor, research transparency, and the necessity of clearly separating confirmatory (preregistered) predictions from purely exploratory findings. Learn how to state a clear mechanism, derive directional hypotheses, and avoid 'HARKing' to strengthen your scientific argument.

This skill guides authors in assembling a comprehensive transparency package for academic submissions (especially meta-analyses). It ensures adherence to Open Science principles by detailing requirements for protocol preregistration (PROSPERO/OSF), depositing the coded database, codebook, and analysis scripts. It is essential for proving the full reproducibility of quantitative research findings.

A comprehensive guide for executing and reporting quantitative analyses for high-stakes public policy research. This skill emphasizes methodological rigor, demanding transparency in uncertainty reporting (effect size, intervals), robust checks (heterogeneity, alternative specifications), and ensuring full reproducibility through master scripts and pinned versions for journal submission.

A comprehensive guide for academic authors adopting open science standards, based on TOP Guidelines. It outlines best practices for ensuring research reproducibility, covering data citation, data provenance documentation, data sharing via repositories (Dataverse/QDR), and managing restricted-data paths for various evidence types.

This skill helps authors assess the suitability of their structural, computational, or econometric manuscript for top-tier quantitative economics journals. It guides authors on meeting the high bar for model rigor, identification transparency, and computational evidence required for publication in this field, acting as a comprehensive fit and re-framing tool.

This skill guides the execution and stress-testing of empirical analysis for innovation studies (Research Policy). It details how to build reproducible bibliometric and patent variables, select appropriate econometric models (like Poisson/Negative Binomial for counts), and establish robust evidence. The focus is on addressing methodological challenges, ensuring transparent variable construction, and performing rigorous sensitivity checks to withstand expert scrutiny.

A comprehensive preflight checklist designed for authors submitting academic manuscripts to specialized journals. It guides users through verifying complex requirements, including formatting rules (double-spacing, font size), style compliance, data availability policies, and submission fee procedures, ensuring the paper is submission-ready and meets journal standards.