Skill UI

A comprehensive guide for authors submitting technical papers, detailing methods to ensure that all reported claims, figures, and benchmark numbers can be independently regenerated. This involves creating VM-ready, self-contained artifacts, mapping every claim to a specific script, and defining clear reproducibility levels (Turnkey, Scripted) to satisfy conference requirements.

A comprehensive guide for conducting and reporting rigorous empirical analysis in academic research, particularly in finance and accounting. It covers selecting appropriate estimators (e.g., DiD, 2SLS, RDD), handling fixed effects, ensuring statistical robustness through placebo and alternative testing, and fulfilling strict data-authenticity and code-access requirements required by top-tier journals.

A comprehensive methodological guide for designing rigorous academic studies in accounting. It details advanced econometric techniques—including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and experimental setups—to establish credible causal identification. Use this guide when your research challenge is solving endogeneity or isolating a specific economic channel from complex, non-random variables.

This guide instructs researchers on how to build robust, theoretically grounded economic mechanisms and derive testable predictions for accounting and finance research. It covers the methodologies required for archival, analytical, and experimental papers, ensuring claims move beyond mere correlation to establish clear causal economic channels.

This skill guides authors on positioning information retrieval (IR) work for the Text REtrieval Conference (TREC). It functions as a venue-selection and manuscript re-framing tool, ensuring the submission aligns with TREC's focus on shared evaluation tracks, test collections, and NIST-style benchmarking. It helps authors structure evidence, understand reviewer expectations, and distinguish the work from general CS conference submissions.

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.

A comprehensive skill designed to assess the suitability of a manuscript for The BMJ (British Medical Journal). It provides expert guidance on journal positioning, required methodological rigor (e.g., CONSORT, PRISMA, STROBE compliance), open data commitments, structured abstract requirements, and the specific standards necessary for submission to a leading, patient-centered, evidence-based medical journal. Use this to re-frame and optimize your research paper before submission.

This skill provides a comprehensive guide for authors targeting The Cryosphere journal. It details the journal's scope (ice sheets, permafrost, sea ice), high methodological standards (FAIR data, uncertainty quantification), and the unique EGU interactive public peer-review process. Use this tool to determine if a cryospheric study is suitable for this specific open-access venue.

A comprehensive tool for assessing whether an econometric manuscript is suitable for submission to The Econometrics Journal (EctJ). It guides authors through evaluating methodological novelty, theoretical rigor, structural compliance, and adherence to high academic standards, covering everything from new estimators and inference procedures to house style and potential desk-reject risks. Use this skill when targeting a highly specialized economic journal or needing to re-frame an applied study into a theoretical methods contribution.

This skill provides a comprehensive framework for evaluating whether a clinical medicine or global-health manuscript is suitable for publication in The Lancet. It guides authors on refining the manuscript's framing, ensuring methodological rigor (e.g., PRISMA, STROBE), and adhering to the journal's specific house style and high editorial standards related to global health and health equity.

A comprehensive guide for researchers on assessing the suitability of digital health, AI/ML, or health informatics manuscripts for The Lancet Digital Health. It outlines the journal's strict standards for clinical rigor, external validation, reporting guidelines (TRIPOD, CONSORT-AI), and evidence required for publication.

A comprehensive guide to assessing whether a mental health or psychiatry study is suitable for publication in The Lancet Psychiatry. It details the journal's high standards, focusing on large-scale population/epidemiological analyses, policy relevance, and rigorous methodology (e.g., RCTs, cohort studies). The skill helps authors re-frame their research question to meet global health and system-level impact requirements, covering reporting guidelines (CONSORT/STROBE/PRISMA) and submission structure.