Skill UI

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 detailing the rigorous data analysis and reporting standards required for top-tier psychological science journals. It emphasizes moving beyond p-values to report effect sizes with confidence intervals, ensuring full disclosure of exclusions, and maintaining a clear separation between confirmatory and exploratory findings to enhance research credibility and reproducibility.

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 and fit test designed to help researchers assess whether their empirical psychology project meets the high standards of top-tier journals like Psychological Science. It evaluates key criteria including broad impact, statistical robustness, open science readiness (preregistration/data sharing), and adherence to strict format limits. Use this skill to pressure-test your idea before committing resources to data collection or analysis, guiding you toward the optimal manuscript type (e.g., Research Article vs. Registered Report).

This tool acts as an orchestrator for submitting manuscripts to Psychological Science. It guides researchers through the complex publication process, making critical decisions based on the manuscript type (e.g., Research Article, Registered Report) and the current stage of development. It is crucial for managing constraints like tight word limits and rigorous open-science requirements, directing users to the correct specialized skills at every step.

A comprehensive skill for advanced meta-analysis in psychology, designed to assess the reliability and sources of heterogeneity. It performs moderator/subgroup analyses (meta-regression) to explain effect size variation and runs multiple publication-bias diagnostics (e.g., Funnel plot, Egger's test, p-curve, selection models). Essential for rigorous academic reporting requiring robust evidence and sensitivity checks.

A comprehensive pre-submission checklist for authors submitting research syntheses (such as meta-analyses or systematic reviews) to Psychological Bulletin via APA Editorial Manager. It guides authors through critical checks, including proper masking (anonymizing author identity), adherence to APA 7th edition standards, abstract length constraints (≤ 250 words), and mandatory completion of reporting frameworks like MARS or PRISMA.

This skill guides the creation of standard, high-quality exhibits for meta-analysis manuscripts, specifically adhering to APA 7th edition standards required by journals like Psychological Bulletin. It generates critical figures such as PRISMA flow diagrams, forest plots, funnel plots, and summary tables, ensuring the final report is self-contained, reproducible, and scientifically rigorous.

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 detailed guide for late-stage polishing of theoretical psychology manuscripts destined for high-impact journals like Psychological Review. It shifts the writing register from empirical reporting (avoiding phrases like 'we found' or 'p < .05') to mechanism-first prose, focusing on models, assumptions, and theoretical derivations, while adhering strictly to APA 7th edition style.

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 detailing the stringent methodological and reporting standards required for submitting medical imaging research (diagnostic, AI, interventional) to a top-tier radiology journal. It covers expectations for diagnostic accuracy (STARD), AI model validation (CLAIM), sample size justification, reproducibility, and ensuring clinical relevance, helping authors frame their work for optimal journal fit.