Skill UI

This skill guides researchers in transforming raw meta-analysis results (e.g., pooled effects, moderator analyses) into a genuine, high-impact theoretical contribution suitable for integrative review journals. It teaches how to interpret conflicting findings, build or refine theoretical models, clearly state scope conditions (boundary conditions), and set concrete future research agendas, ensuring the findings advance the field beyond mere statistics.

This skill guides researchers on whether a proposed research topic is suitable for a high-level synthesis journal (like Psychological Bulletin). It assesses the existing literature's depth, general academic significance, and whether the contribution is synthesizing prior findings. It determines the most appropriate synthesis methodology—such as meta-analysis, systematic review, or qualitative meta-synthesis—by comparing the nature of the pooled data.

This tool serves as an essential orchestrator for crafting and submitting research syntheses (such as meta-analyses and systematic reviews) for Psychological Bulletin. It guides users through the entire rigorous research lifecycle—from initial topic selection and literature searching (PRISMA) to data coding, meta-analysis, theoretical integration, and final manuscript preparation. It ensures that the project is correctly framed as a synthesis of existing work, not a primary study.

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.

This tool serves as an orchestrator for developing Public Administration Review (PAR) manuscripts. It guides researchers through the entire writing lifecycle—from initial topic selection and literature positioning to theory building, data analysis, and final submission/rebuttal. It helps users determine the most appropriate article type (e.g., Scholarly Take, Conceptualizing PA) and maps the necessary steps to ensure the work bridges both academic theory and practical public management relevance.

A comprehensive guide to ensuring the quantitative rigor and full reproducibility of econometrics manuscripts, particularly for submissions to high-tier journals like QE. Covers structural estimation (GMM, MSM), moment construction, data cleaning best practices, and comprehensive validation checks (e.g., multi-start, Monte Carlo recovery). It ensures that all results can be regenerated from raw data using pinned environments and documented scripts.

This router guides authors through the complex publication lifecycle for Quantitative Economics (QE) submissions. It diagnoses current bottlenecks—whether in topic framing, data analysis, contribution clarity, or writing style—and directs the user to the precise specialized skill needed at that stage, ensuring a structured path from initial concept to final submission or rebuttal.

Mandatory package structure for submitting accepted empirical papers to the Quarterly Journal of Economics (QJE). It ensures complete research reproducibility by organizing raw data, derived files, and analysis code. This package guides authors in creating a comprehensive, self-contained deposit that allows any investigator to regenerate every figure, table, and result published in the manuscript, adhering to strict academic data-availability policies.

A comprehensive guide detailing best practices for achieving high reproducibility in recommender system research. It covers critical areas such as dataset version pinning, defining symmetric tuning protocols, selecting full-ranking metrics, handling non-determinism via multiple seeds, and structuring rigorous divergence analysis for academic publications.

This guide outlines the rigorous standards for quantitative analysis required in academic economic research, particularly dynamic modeling. It provides a framework covering systematic model calibration, moment estimation, numerical solution discipline, and establishing fully reproducible computation workflows, ensuring results are highly auditable and verifiable.

This skill guides authors in assessing whether their scholarly work—particularly those employing New Historicism or interdisciplinary cultural analysis—is suitable for highly specialized academic venues. It emphasizes the necessity of building arguments outward from concrete historical or material particulars (like archival fragments or objects), rather than relying on free-floating theory. Use this aid to re-frame and strengthen the material basis of your scholarly manuscript before submission.

This comprehensive skill guides authors targeting Research Policy. It details the journal's scope, required evidence standards, house style, and common publishing pitfalls. It helps authors frame their work to fit the interdisciplinary field of innovation studies (STI), covering topics from R&D and technology policy to economic implications.