Skill UI

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 guide for designing and documenting systematic literature searches for meta-analyses or systematic reviews. It ensures reproducibility by covering multiple databases (e.g., PsycINFO, PubMed), controlled vocabulary, grey literature, and adhering strictly to PRISMA-S guidelines. It helps build a robust, traceable research pool.

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 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.

A detailed guide for authors handling major revisions (R&R) for quantitative economics papers. It structures the entire process, from decoding the coeditor's priorities and classifying referee demands (fundamental, clarification, disagreement), to executing necessary new analyses and drafting a professional, evidence-based response letter that maintains reproducibility and rigor.

A structured guide for authors responding to major revisions or reject-and-resubmit decisions from high-stakes academic journals like QJE. This process outlines a rigorous protocol for triaging reviewer comments, prioritizing editor mandates, structuring the point-by-point response letter, and ensuring the manuscript is fully updated before submission. It focuses on maintaining a professional, gracious, and evidence-based tone.

A comprehensive guide for drafting persuasive and structured author responses to major academic conference reviews. This methodology teaches how to triage critical concerns, anchor answers strictly to submitted evidence (tables, appendices, repository), and effectively counter common technical pushbacks such as baseline tuning, temporal data leakage, and offline-online gaps, ensuring the response is professional, anonymous, and high-impact.

A comprehensive guide for revising academic papers in recommendation systems (RecSys). It covers best practices for structuring the first page, ensuring rigorous evaluation protocols (e.g., temporal splits, equal-budget baselines), and avoiding methodological overclaims, helping authors meet the standards of top-tier AI conferences.

A comprehensive guide for drafting a response-to-referees letter and revision plan after receiving a major academic decision (R&R or reject-and-resubmit) from top-tier journals like REStat. It teaches the strategy of structuring evidence-based rebuttals, prioritizing core identification/measurement concerns, and handling conflicting referee demands to maximize acceptance chances. Note: This skill guides writing strategy, not new analysis.

This guide helps structure and build rigorous academic theories and economic models, especially for accounting manuscripts. Use it when the core challenge is articulating the underlying economic mechanism (friction, channel), building a minimal, provable model, or moving beyond simple correlation (HARKing). It guides the process from raw primitives to testable, proposition-based arguments.

This comprehensive guide details the rigorous methodology for conducting systematic literature reviews and meta-analyses, particularly in educational research. It ensures the reproducibility and defensibility of the evidence corpus by documenting the entire PRISMA flow, from exhaustive multi-database searching and dual screening to structured data extraction and subsequent synthesis of findings.

A comprehensive guide for authors addressing the rigorous identification requirements for industrial-organization (IO) manuscripts, particularly targeting top-tier journals like the RJE. It details structural and reduced-form modeling approaches for areas including demand, supply, entry, mergers, and auctions. The resource emphasizes defending endogeneity, selecting appropriate market-based instruments, utilizing modern econometric estimators (e.g., Callaway–Sant'Anna), and establishing clear causal links between variation and structural parameters.