Skill UI

This framework serves as a rigorous thought partner, designed to challenge underlying assumptions, separate raw evidence from interpretation, and ensure that all conclusions are fully defensible. It guides users to define clear decision goals, test counterfactuals, and calibrate claims strictly to the available data quality. Ideal for high-stakes projects where the cost of error is significant.

This guide provides detailed instructions on designing high-quality visual exhibits for academic literature reviews, such as the Annual Review of Sociology (ARSoc). It covers three primary exhibit types: 'Who-found-what' summary tables, conceptual framework figures, and meta-evidence plots. The focus is on synthesizing findings across multiple studies and structuring arguments, rather than presenting new primary estimates or raw data.

A comprehensive guide for creating publication-quality scientific figures, adhering to high-impact journal standards. Covers critical topics such as optimal sizing for print widths, displaying underlying raw data (dot plots, replicates), ensuring colorblind accessibility, structuring stand-alone legends, and maintaining image integrity. Essential reading for researchers preparing manuscripts.

This guide acts as a structured workflow router for scientists preparing manuscripts for high-impact journals like Cell. It doesn't write the paper but diagnoses the current stage (e.g., narrative structure, data deposition, figure quality, citation style) and directs the author to the specific skill needed next, ensuring the manuscript meets the high standards of mechanistic completeness required for publication.

A comprehensive guide for the final pre-submission quality check of academic manuscripts, particularly for double-blind review processes. It covers critical compliance points such as maintaining anonymity, adhering to strict word counts (including figures/tables), managing separate metadata (abstracts, acknowledgments), and ensuring proper third-person self-citation to avoid common rejection pitfalls.

A comprehensive guide detailing the specific conventions required for submitting high-quality, data-driven papers in computer architecture to top-tier conferences like ISCA. It covers structuring the core argument around a single insight, developing measured motivation sections, describing mechanisms with checkable precision, and calibrating quantitative claims with empirical data and instruments. Essential for academic research communication in hardware design.

This router is designed to guide authors through the entire, highly structured process of developing and submitting an academic manuscript specifically to the Journal of Accounting Research (JAR). It does not perform the research itself but acts as a decision tool, directing the user to the next most appropriate specialized skill—whether it's refining the core topic, strengthening the economic theory, executing data analysis, or drafting a rebuttal response—ensuring a coherent and high-quality research workflow.

This router guides authors through the complex, multi-stage process of preparing a manuscript for a top-tier finance journal like the Review of Finance (RoF). It diagnoses current bottlenecks—whether related to contribution framing, data analysis, or rebuttal strategy—and systematically recommends the next specialized skill to ensure a complete and high-quality submission.

This skill provides a comprehensive, reproducible rubric for evaluating scholarly and scientific work. It covers nine critical dimensions—including problem statement, methodology, data evidence, analysis rigor, and citation quality—making it ideal for reviewing research papers, grant proposals, literature reviews, and academic theses. Use it to provide structured, actionable, and professional feedback to enhance scholarly output.