Skill UI

A comprehensive workflow guide designed for submitting manuscripts to The Journal of Quantitative & Technological Economics (JQTE). This router determines the optimal sequence of specialized skills (e.g., topic selection, measurement, econometrics, forecasting, rebuttal) based on the manuscript's current stage or contribution type. It helps researchers structure their work to meet the journal's specific requirements, emphasizing measurable methods and reproducibility over pure narrative causality.

A comprehensive guide for assembling a fully transparent and reproducible research package required for academic submissions (e.g., JRU/Springer). It structures the necessary components—including full experimental instructions, source code (z-Tree/Qualtrics), estimation scripts, and de-identified data—to allow any external party to replicate the study's findings end-to-end. Focuses on both procedural reproducibility and structural econometrics re-runnability.

This guide provides rigorous structural and stylistic guidelines for academic manuscripts in the field of risk and uncertainty. It instructs authors on how to precisely articulate decision models, quantify results with appropriate magnitude and precision, and structure arguments (Abstract, Introduction, Exposition) to meet the high standards of specialized journals, ensuring technical honesty and clarity.

A comprehensive guide on crafting convincing spatial exhibits for top-tier economics journals, especially those focusing on urban economics. This skill helps structure the necessary maps, regression tables, and event-study plots required to visually demonstrate the identifying variation (e.g., treatment boundaries, discontinuities). It focuses on best practices—such as reporting spatial standard errors and making maps do econometric work—rather than running the analysis itself.

A comprehensive guide detailing how to structure, package, and validate research artifacts for major machine learning conferences like KDD. It covers best practices for creating anonymous, reproducible repositories, handling scale claims, and providing robust evidence for different research tracks (Research, ADS, Datasets).

A comprehensive guide for structuring the empirical section of high-level machine learning papers (e.g., KDD). It details the 'four-axis evidence plan'—Quality, Scale, Efficiency, and Mechanism—and emphasizes critical data hygiene practices. Learn how to prevent temporal leakage, structure ablations in a matrix format, and design post-launch measurements to ensure academic rigor and reproducibility.

A comprehensive project management guide for planning submissions to KDD, accounting for its unique structure of two annual submission cycles. It covers milestone tracking, cycle-choice decision matrices, managing the Resubmit loop, and planning evidence lead times from abstract to camera-ready status. Essential for complex, multi-stage data science research.

A comprehensive style guide for revising research papers to meet the specific, high standards of KDD conferences. It details the expected structure of the first page, emphasizing data regimes, named mechanisms, and quantifiable evidence (scale, metrics). It also provides rules for differentiating research vs. applied data science (ADS) voices and optimizing content for two-column, page-limited formats.

A comprehensive guide for authors targeting Kidney International, the flagship journal of the International Society of Nephrology (ISN). This skill helps gauge the fit of nephrology, hypertension, or kidney translational studies by checking against the journal's global scope, international clinical relevance, strict methodological bar (e.g., CONSORT, STROBE), and required structure. It is a venue-selection aid, not clinical advice.

This skill provides expert guidance on positioning theoretical work for Linguistic Inquiry, a premier venue in generative grammar. It helps authors structure rigorous formal analyses of syntax and its interfaces (morphology, semantics, phonology). Use this when developing explicit, falsifiable theoretical proposals, crafting focused 'squibs,' or navigating the high standards required for top-tier academic linguistics publications.

A comprehensive guide for authors responding to 'revise-and-resubmit' decisions in Mathematical Finance journals. It provides a structured approach to triage referee comments regarding proof gaps, assumption scope, novelty, martingale conditions, and financial relevance. Learn how to write a point-by-point response letter and make aligned, rigorous manuscript edits.

A comprehensive guide for researchers submitting materials science manuscripts to the Cell Press journal Matter. It outlines the journal's 'atoms to systems' scope, defining the high bar for conceptual significance, narrative rigor, data evidence, and overall transformative impact. Use this skill to determine suitability, structure the narrative, and meet the stringent house style requirements before submission.