Skill UI

This guide serves as a comprehensive workflow router for authors preparing a Marketing Science manuscript. It dictates the sequential steps, from identifying a modeling-worthy topic and developing a structural or analytical model, through data analysis, contribution framing, and final submission. It ensures the paper maintains a focus on formal modeling and managerial counterfactuals, adhering to the journal's rigorous standards.

This skill provides a comprehensive framework for evaluating manuscript suitability for Molecular Psychiatry. It guides authors on journal positioning, required scope (e.g., psychiatric genetics, translational neuroscience), necessary evidence depth (dual-level evidence), structural guidelines, and official submission checklists to maximize publication chances.

This skill serves as a comprehensive router for developing academic manuscripts in Production and Operations Management (POM). It does not replace specialized skills but guides users through the entire scholarly process—from initial topic selection and theoretical modeling to data analysis, contribution framing, polishing, and submission. It ensures users maintain structural integrity and identify the correct next specialized skill to invoke, guiding the research journey from concept to publication.

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 the entire workflow for developing a high-quality academic manuscript targeting the Review of Accounting Studies (RAST). It helps users determine the next necessary step—be it theory development, data analysis, refining contributions, or preparing for submission and rebuttal—ensuring methodological rigor and structural completeness throughout the writing process.

A comprehensive guide for executing and stress-testing empirical analyses in Industrial Organization (IO). It covers structural and reduced-form model diagnostics, advanced inference techniques (e.g., wild-cluster bootstrap), counterfactual validation, and meeting the rigorous robustness standards demanded by top-tier academic journals. Focuses on methodology, not study design.

This skill helps researchers evaluate whether their manuscript aligns with the scope and practical orientation of specific academic journals. It provides structural advice, outlines key evidence requirements (e.g., patent quality, data analysis), identifies common rejection pitfalls, and guides the user through official submission checks for highly specialized journals.

A comprehensive guide for applying advanced quantitative methods (OLS, Multilevel, Survival Analysis) to large-scale social surveys (CGSS, CFPS, etc.). This guide emphasizes shifting the focus from purely statistical identification (econometric coefficient races) to deep sociological interpretation, focusing on revealing social mechanisms, structural heterogeneity, and real-world social consequences.

This skill provides a comprehensive guide for authors submitting art-history manuscripts to highly selective venues like The Art Bulletin. It evaluates whether a work possesses the necessary original, cross-disciplinary argument, deep visual/material analysis, and mastery of primary sources required for publication. The guide covers scholarly framing, structural requirements, and submission best practices, acting as a crucial fit and refinement aid for serious scholars.

Biopython is a comprehensive Python library designed for computational molecular biology. It provides robust tools for handling biological sequences (DNA, RNA, Protein), structural analysis (PDB), sequence alignment, phylogenetic tree construction, and interfacing with major public databases like NCBI (Entrez). Ideal for researchers performing advanced bioinformatics tasks.

This skill facilitates cross-version symbol migration and binary diffing. When existing symbols or reverse engineering results from an old version need to be quickly mapped to a new binary version, this tool is used. It leverages LLMs to perform structured structural comparisons between corresponding functions in different versions, enabling the programmatic transfer of function names and offsets even when original PDB files are lost. Ideal for kernel debugging, application updates, and binary analysis.

A comprehensive methodology for diagnosing complex systems where problems are emergent across multiple components. It guides the user to map system boundaries, stocks and flows, feedback loops, and underlying structural drivers. By identifying the highest feasible leverage point, it recommends structural interventions that address root causes rather than superficial symptoms.