Skill UI

A comprehensive guide for authors considering submission to the Journal of the ACM (JACM). This skill helps evaluate whether a theoretical computer science manuscript meets JACM's high bar for depth, foundational significance, and rigorous proof. It covers scope fit, required technical depth, structural conventions, and pre-submission checklists for breakthrough academic work.

A comprehensive guide for authors targeting the Journal of the American Chemical Society (JACS). It details the journal's positioning, scope requirements across various chemical sub-fields (organic, inorganic, physical, etc.), the required depth of evidence, article structure (Communications vs. Articles), and provides a detailed checklist to prevent common desk-reject mistakes. Use this when refining a chemistry manuscript for a top-tier publication.

This skill provides a comprehensive guide for authors submitting historical-musicology manuscripts to high-tier academic journals, such as the Journal of the American Musicological Society. It helps determine if a manuscript presents an original, significant argument beyond a niche focus, assessing the rigor of the methodology, the depth of source engagement (archival, notational), and adherence to established academic standards. Use this guide when positioning, reframing, or conducting a pre-submission self-check for major scholarly publications.

This skill acts as an expert orchestrator and router for authors preparing submissions to the Journal of Public Administration Research and Theory (JPART). It guides users through the entire academic lifecycle, from initial topic selection to final rebuttal. Crucially, it enforces JPART's defining gate: the paper must demonstrate a clear contribution to public-management theory, rather than just presenting strong empirical findings or policy recommendations. Ideal for early-stage conceptualization or when feedback suggests the work lacks theoretical depth.

A comprehensive framework for conducting and structuring robustness checks in academic papers, particularly in econometrics and behavioral economics. It guides researchers on identifying specific threats to the core parameter (e.g., functional form dependence, incentive bias, sample selection) and organizing tests by threat, ensuring the findings are statistically reliable and withstand expert scrutiny.

A comprehensive guide detailing the mandatory replication package requirements for submitting empirical papers to the Journal of Urban Economics (JUE). It covers not only standard data and code deposits but also specialized techniques for handling complex geospatial data, geocoding pipelines, and proprietary/confidential restricted data paths to ensure maximum reproducibility.

This guide helps researchers elevate vague global trends into rigorous, open-economy causal questions suitable for high-impact journals. It teaches methodology for identifying clear treatments, measuring international exposure (e.g., GVC, trade dependency), and defining precise counterfactuals within a general equilibrium framework.

A comprehensive pre-writing guide for researchers determining the optimal venue and track for a data science contribution. It outlines a two-stage decision process: first, assessing if the work aligns with the KDD focus on data regimes (scale, drift, heterogeneity); and second, selecting the correct track (Research, ADS, Datasets & Benchmarks, etc.) based on the strongest, most honest evidence available—especially emphasizing real-world deployment outcomes.

This guide teaches how to elevate descriptive linguistic data (such as glossed patterns or corpus trends) into robust, theoretically grounded claims. It outlines the necessary structure for presenting an argument with explicit assumptions, testable predictions, and critical engagement with competing theoretical frameworks, moving beyond mere description to achieve genuine theoretical depth.

This tool acts as an orchestrator for submissions to the journal *Language* (LSA). It guides authors through the complex manuscript development process by identifying the appropriate piece type (e.g., General Research Article, Review Article) and routing them to the necessary specialized skills (e.g., theory building, literature positioning, data analysis). It helps authors structure their work and ensure theoretical depth and cross-subfield legibility.

A comprehensive guide for authors targeting the Management Science (MS) journal. It helps authors assess if their quantitative work (spanning operations, finance, IS, marketing, etc.) meets the journal's high, interdisciplinary rigor. It acts as a pre-submission checklist, advising on department selection, framing the contribution, and avoiding common desk-reject pitfalls.

A comprehensive guide for integrating Markstream, a high-performance Markdown renderer, into modern frontend frameworks like React, Vue, Svelte, and Next.js. It handles complex streaming scenarios, ensuring minimal peer dependencies, correct CSS ordering, and proper Server-Side Rendering (SSR) boundaries for dynamic content and AI chat interfaces.