Skill UI

This skill acts as a central workflow router for manuscripts targeting the American Economic Journal: Economic Policy (AEJ: Policy). It diagnoses the current stage of a paper—whether it's topic selection, design, modeling, writing, or rebuttal—and recommends the next specialized skill. It ensures the research maintains a strong focus on credible causal evidence and actionable policy implications.

This guide outlines the strategic approach for navigating the fast, decisive peer review process of AER: Insights. It details the single-round, conditional accept/reject model, emphasizing that papers must be submission-ready and objection-proofed upfront, as there is no traditional revise-and-resubmit cycle. Learn how to pre-empt major critiques concerning importance, robustness, and design credibility before submission.

This tool acts as a comprehensive router, guiding users through the specific stages of writing a short-format manuscript for American Economic Review: Insights (AER: Insights). It helps structure the process from initial topic selection and identifying a single core insight, through literature positioning, model refinement, and final submission/rebuttal preparation, ensuring compliance with strict length and scope requirements.

This skill guides researchers on the mandatory, rigorous evaluation of complex systems models (e.g., AgSy). It details best practices for model validation, emphasizing the comparison of observed vs. simulated data using independent, held-out datasets. Key components covered include standard fit statistics (RMSE, NSE), sensitivity analysis (identifying core drivers), uncertainty propagation, and multi-objective trade-off/scenario analysis to ensure scientific credibility.

This guide provides rigorous guidelines for creating high-quality figures and tables for complex systems manuscripts, especially in agricultural science. It emphasizes shifting focus from single-factor bar charts to systemic visualizations that reveal interactions, trade-offs (e.g., Pareto fronts), model dynamics, resource flows (Sankey diagrams), and model performance (observed-vs-simulated fit). Exhibits must be self-contained, reproducible, and convey uncertainty.

This skill guides researchers on how to transform complex agricultural systems model results into actionable, honest, and scoped implications for decision-makers. It teaches authors to move beyond merely restating results by identifying the specific actors, articulating the necessary trade-offs, and clearly defining the system boundaries and uncertainty limits, ensuring the paper informs a decision rather than just demonstrating methods.

This skill guides authors on how to position their manuscript within the complex, multidisciplinary literature of Agricultural Systems (AgSy). It ensures that the paper advances the conversation by engaging both the domain knowledge and the core modeling/systems methodologies. The process focuses on identifying unresolved systemic trade-offs, pinpointing the exact research gap, and clearly articulating the unique contribution among established alternatives.

This guide outlines the stringent reproducibility and data requirements for submitting manuscripts to Agricultural Systems (AgSy). Because AgSy treats code, models, and algorithms as research data, authors must learn how to deposit all materials in a recognized repository (e.g., Zenodo, OSF), cite them permanently, and document the model structure, parameters, and versions. It provides a checklist for building a reproducible research workflow.

This guide details how the journal Agricultural Systems (AgSy) evaluates manuscripts, covering the single anonymized peer review process, desk screening criteria, and expert reviewer expectations. It helps authors pre-empt common rejection points related to systems thinking, model rigor, and decision relevance before formal submission.

Provides a comprehensive strategy and format for responding to major/minor revisions in academic publishing, especially in systems science and modeling. It guides authors on how to address reviewer comments, reconcile conflicting feedback, strengthen models, and write a professional cover letter to the editor while maintaining the integrity of the core scientific contribution.

This guide provides a rigorous framework for structuring Agricultural Systems (AgSy) research. It teaches users how to explicitly define system boundaries, core components, critical interactions, and hierarchical levels. Furthermore, it instructs on selecting, justifying, and describing complex models (e.g., process-based, ABM, bio-economic) to ensure the research is scientifically sound and fully reproducible.

This skill guides authors in evaluating whether their chemical engineering manuscript meets the high standards of the AIChE Journal. It helps authors re-frame application-specific work into generalizable principles, focusing on fundamental scientific advances, rigorous modeling, and comprehensive experimental validation, ensuring the contribution transcends a single process.