Skill UI

A comprehensive guide for revising scholarly 'Perspective' papers after receiving major or minor revisions from editors and reviewers. It provides a structured methodology for addressing common critiques, including coverage gaps, balance complaints, argument strengthening, and open science requirements. This skill helps authors draft a professional, point-by-point response letter and ensures the revised manuscript meets rigorous academic standards.

This comprehensive preflight checklist guides authors through the final submission requirements for academic journals, specifically targeting the Perspectives on Psychological Science (PoPS) format. It ensures compliance with critical standards including abstract word limits (200 words), APA formatting, open science data deposits, ethical declarations, and objective reviewer nominations. Use this before submitting to any scholarly portal.

A comprehensive guide for constructing academic exhibits, such as conceptual framework diagrams, 'who-found-what' summary tables, and meta-science plots, for literature review and perspective pieces. It ensures adherence to APA style, emphasizes comparing like-with-like constructs, and mandates systematic data sourcing to maintain scientific credibility and reproducibility.

This guide helps researchers determine if their academic idea is suitable for publication in Perspectives on Psychological Science (PoPS). It evaluates contributions against four critical criteria—Breadth, Integration, Provocation, and Tractability—ensuring the topic is a superordinate, theoretical, or meta-scientific argument, rather than a single empirical study. It helps refine the animating question and select the correct journal venue.

A comprehensive guide detailing the open science and reproducibility standards required for academic publications, especially those utilizing original data or conducting meta-science. It outlines critical steps such as data repository deposit, protocol preregistration, and reporting inter-rater reliability to ensure research methods are fully auditable.

This router guides researchers through the complex, multi-stage lifecycle of writing a broad, integrative, or theoretical 'perspective' article for high-impact journals like PoPS. It dictates the next necessary scholarly skill (e.g., literature synthesis, framework building, editor strategy, revision) based on the manuscript's current stage, helping authors transition from initial concept to final submission and revision.

This guide helps polish and restructure academic manuscripts intended as 'perspectives.' It moves writing beyond simple summary by emphasizing a broad, provocative, and highly accessible voice for non-specialists. It ensures the article follows a specific narrative arc: framing the question, stating the claim early, maintaining signposting, and concluding with a concrete, future-facing agenda.

Provides a comprehensive guide for writing high-quality academic rebuttal letters and revised manuscripts, especially for top-tier journals. It covers structuring responses to detailed reviewer comments, addressing significant revisions, incorporating new experiments, and maintaining professional, evidence-based communication to maximize acceptance chances.

This guide outlines the comprehensive workflow for academic authors after their manuscript is accepted for publication in PR&AI. It covers all critical stages, including final draft revisions, recovering author information, detailed proofreading of figures, formulas, references, and adhering to the core principle of making only error corrections, not content modifications. Essential for a smooth transition to print.

This guide provides a comprehensive checklist for designing, executing, and presenting empirical evidence for academic papers in Pattern Recognition and AI. It covers critical areas like establishing fair baselines, ensuring statistical rigor (mean ± std dev, significance testing), conducting sufficient ablation studies, preventing data leakage, and reporting computational costs. It helps authors make their findings withstand rigorous external review.

Provides a comprehensive guide to the entire academic publication review lifecycle, from initial submission to acceptance. It models the key stages—including editorial screening, expert review, revision, and final check—identifying critical decision criteria, common rejection reasons, and actionable leverage points for authors to significantly improve manuscript quality and navigate the publishing process.

Provides comprehensive guidelines for authors submitting long-form research papers to academic journals like PR&AI. It teaches how to strategically segment content, ensuring core arguments reside in the main text while detailed proofs, extra experiments, and supplementary data are moved to appendices, maintaining academic rigor and readability.