Skill UI

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 outlines the rigorous standards required for submitting econometrics papers to top-tier academic journals. It focuses on ensuring the integrity of identification assumptions, linking theoretical claims to empirical data, structuring proofs correctly, and anticipating referee critiques (e.g., object drift, assumption opacity). Essential for advanced academic researchers writing methods papers.

This tool guides authors on structuring manuscripts for IEEE Transactions on Antennas and Propagation (TAP). It emphasizes that the core contribution must be in applied electromagnetics, antenna design, or wave propagation theory, requiring a standard evidence chain: sound theory, full-wave simulation, and measured prototype validation. Use it for venue selection and content re-framing.

This guide helps authors targeting top-tier conferences on Constraint Programming (CP) to strategically position their manuscripts. It provides deep insights into the required scope, evidence bar, technical focus (e.g., propagation, optimization), and necessary re-framing techniques. Use this skill to enhance algorithmic clarity and ensure your work aligns precisely with the specialized community standards of the venue.

This guide provides a structured framework for responding to reviewers and editors regarding a meta-analysis or systematic synthesis. Because such revisions often involve expanding the search, changing eligibility criteria, or adding complex bias diagnostics, the response must maintain impeccable internal statistical consistency across all tables, figures, and estimates. It ensures all methodological changes are clearly propagated and justified.

A comprehensive skill designed to guide authors on whether their observational, data-intensive manuscript is suitable for The Astronomical Journal (AJ). It details the journal's specific scope, required methodological rigor (e.g., uncertainty propagation), and adherence to AAS/AASTeX standards, serving as a pre-submission fit and re-framing tool.

This skill enables rigorous tracking of physical units and the systematic propagation of measurement uncertainty in scientific calculations. It supports unit conversions, building comprehensive GUM uncertainty budgets, and performing dimensional and physical plausibility checks. Use it whenever a calculation requires adherence to strict metrological standards and accurate error reporting.