Skill UI

This guide teaches the 'trust-minimum principle' for writing methods sections in short scientific letters (like PRL). It instructs authors on how to rigorously partition their work, keeping only the essential, trust-bearing details (setup, key controls, uncertainties) in the body, while relegating full derivations and extensive apparatus details to the Supplemental Material (SM). This ensures brevity without sacrificing scientific credibility.

This guide provides authors with best practices for structuring scientific papers, specifically focusing on the division of content between the main body (The Letter) and the Supplemental Material (SM). It emphasizes the 'stand-alone' rule, ensuring the core argument remains fully understandable without consulting the SM, while effectively organizing detailed derivations, extended datasets, and secondary controls in the appendix.

A comprehensive guide for designing and documenting systematic literature searches for meta-analyses or systematic reviews. It ensures reproducibility by covering multiple databases (e.g., PsycINFO, PubMed), controlled vocabulary, grey literature, and adhering strictly to PRISMA-S guidelines. It helps build a robust, traceable research pool.

This guide provides a rigorous framework for stress-testing and implementing state-of-the-art causal identification strategies required for high-impact empirical economics. It covers advanced methodologies including Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity (RDD), Synthetic Control, and Structural Modeling. It emphasizes modern estimators (e.g., Callaway-Sant'Anna, effective F) and robust diagnostic checks to ensure the causal claims are methodologically sound and defensible.

A comprehensive guide for establishing credible causal inference in accounting and finance research. This methodology covers advanced techniques including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity (RDD), and experimental design. It instructs users on how to move beyond simple controls, defining the specific identifying variation necessary for publishing rigorous, causality-focused academic work.

A comprehensive methodological guide detailing high standards for causal inference in finance research, specifically tailored for top journals like RFS. It covers advanced techniques such as Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and asset-pricing identification, ensuring designs meet rigorous standards for exogenous variation and endogeneity control.

This guide provides a highly strategic protocol for drafting the single-page rebuttal memo required for top-tier academic conferences, such as RSS. It teaches authors how to tailor their response for the Area Chair (AC), focusing on maximum impact with minimal words. Key strategies include prioritizing critical objections, citing evidence using coordinates (e.g., Table 3, row 4), and making controlled scope concessions rather than re-running experiments or thanking reviewers extensively. This maximizes the chances of influencing the final review decision.

This comprehensive guide provides a rigorous framework for scientific reporting, ensuring statistical integrity and full reproducibility. It instructs authors on essential elements like reporting effect sizes, justifying sample sizes, controlling for multiple comparisons, and distinguishing biological from technical replicates, helping manuscripts meet the high standards of top-tier scientific journals.

A comprehensive guide for authors submitting to high-impact scientific journals. It outlines the essential principles for structuring experiments and presenting evidence, emphasizing claims-evidence matching, fair benchmarking, differentiating result sources (simulation, hardware, theory), and ensuring statistical rigor. Covers best practices across computer science, control, communication, and microelectronics.

This skill activates 'Steno Mode,' providing highly compressed, expert-level responses by eliminating filler words and superfluous tokens (up to 40% reduction). It maintains absolute technical precision, making it ideal for technical communications like code reviews, debugging Q&A, and architecture summaries. Users can select four defined levels (lite, brief, court, machine) to control the density, with exactness always taking top priority.

A comprehensive guide for theoretical computer science authors on converting an accepted paper into two distinct, public deliverables: a concise, citable proceedings version (extended abstract) and a comprehensive, full version for public preprint servers like arXiv. Details the formatting, copyright requirements, version control, and post-publication hygiene necessary for academic publishing.

A comprehensive guide for scholars targeting The Classical Quarterly, covering best practices in classical philology, textual criticism, and literary interpretation of Greek and Latin texts. It details the expected standard of a philologically controlled argument, manuscript handling, academic style, and official submission requirements to ensure the manuscript is a strong fit for the venue.