Skill UI

A comprehensive style guide and checklist for writing and refining long-form academic articles for 'Pattern Recognition and Artificial Intelligence' (PR&AI). It covers the entire publishing workflow, from mastering the structured introduction (Problem-Gap-Contribution) and writing four-element abstracts, to adhering to rigorous standards for citations (GB/T 7714), figures, and mathematical notation in AI research.

Provides a comprehensive guide for authors responding to referee reports and editor decisions for Physical Review Letters (PRL). It outlines the structure for point-by-point responses, strategies for resubmission, and advice on handling various rejection outcomes, ensuring clarity and scientific rigor in the revision process.

A comprehensive guide for polishing scientific manuscripts intended for high-impact journals like Physical Review Letters (PRL). It teaches how to achieve maximum concision, ensure precise notation, and structure the argument to be highly readable for a broad, non-specialist audience, strictly adhering to APS house style standards.

A comprehensive guide designed for authors targeting PRX Quantum. It helps determine the suitability of manuscripts in quantum information science, quantum computing, or quantum technologies. The skill provides detailed guidance on the journal's scientific scope, required significance bar, structure, and open-access submission standards.

This guide teaches authors how to structure the Introduction and Discussion sections for top-tier journals with extreme word and reference constraints. It moves beyond traditional literature reviews, focusing on a 'surgical' approach: quickly establishing the research gap, clearly stating the unique contribution, and demonstrating the broad relevance of the findings to the wider field.

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 skill guide teaches how to structure and tighten academic manuscripts specifically for high-impact journals like Psychological Science. It focuses on adapting content to strict constraints, including the APA 7th edition style, a structured 150-word abstract, and precise word budgets for the Introduction and Discussion sections. It helps writers polish existing arguments rather than generating new claims.

This guide provides a structured framework for responding to reviewers and editors regarding a meta-analysis or systematic synthesis. Because such revisions often involve expanding the search, changing eligibility criteria, or adding complex bias diagnostics, the response must maintain impeccable internal statistical consistency across all tables, figures, and estimates. It ensures all methodological changes are clearly propagated and justified.

This skill guides the structure and prose for drafting high-level integrative reviews, particularly for publications like the Psychological Bulletin. It ensures the manuscript moves beyond descriptive annotation to become a rigorous, evaluative synthesis. Users must comply with APA 7th edition style and specific reporting standards (MARS for meta-analyses, PRISMA for systematic reviews, and JARS for quantitative work). It provides detailed guidance on structuring the abstract (≤ 250 words), the method section, results, and discussion to meet expert reviewer expectations.

A comprehensive guide for designing conceptual figures for highly theoretical manuscripts (e.g., Psychological Review). This skill teaches how to create two types of non-experimental exhibits: structured model/architecture diagrams and simulation-of-model-behavior plots. It emphasizes rigorous academic standards, including defining constructs vs. processes, distinguishing predictions from fits, and ensuring figures are self-contained and diagnostic.

A guide for articulating the unique theoretical advancement of a psychological review manuscript. It instructs authors on how to frame their findings using the 'before $\rightarrow$ after' structure, defining what the field can explain after the paper that it could not previously, and critically identifying the specific prior models improved upon.

This guide details how to structure a scholarly response document after receiving major revisions for a theoretical model. It emphasizes that the response must argue from substantive theoretical improvements—by adding derivations, simulations, or clarifying scope—rather than merely defending the original wording. It provides a rigorous, point-by-point framework for authors addressing critical academic feedback.