Skill UI

This guide acts as a specialized router for structuring academic manuscripts aiming for top-tier journals, such as 'Accounting Research'. It assesses the paper's fit, guides the sequence of methodological steps (e.g., measurement, identification, mechanism), and suggests addressing weaknesses like institutional context or empirical contributions. It helps users navigate the complex academic publishing journey from initial idea to final submission and rebuttal.

A comprehensive guide for authors submitting to the American Journal of Sociology (AJS). It outlines best practices for data documentation, ensuring research provenance, and ethically sharing findings in both quantitative and ethnographic contexts. It emphasizes creating a thorough, checkable evidentiary trail appropriate to the claim, while clarifying AJS's non-mandatory policy on replication deposits and adherence to confidentiality standards.

A comprehensive guide for conducting rigorous academic literature reviews. It teaches authors how to critically appraise and synthesize conflicting empirical evidence by weighing findings based on credibility, study design, and contextual differences. The framework ensures balance, maintains objectivity, and elevates the quality of academic scholarship.

A comprehensive guide for placing art historical arguments within the broader context of scholarly debate and historiography. It teaches users how to trace foundational scholarship, identify precise gaps in existing research, and clearly establish the intellectual novelty of their contribution for a generalist academic audience.

This guide details how to read, interpret, and synthesize artifacts from the central shared workspace, known as the 'bench.' It provides a structured approach to gathering findings, reports, and assessments left by various modules (desks). Use this skill to build comprehensive context, understand cross-desk dependencies, and summarize complex information for an operator.

This guide assists researchers in transforming empirical findings into high-level, institutionally relevant policy implications for top-tier academic journals (e.g., finance and economics). It teaches how to shift focus from actionable 'recommendations' to theoretical 'implications,' ensuring the policy section is evidence-backed, macro-level, and deeply integrated with the paper's core theory and Chinese context.

This guide details best practices for structuring and writing the "Related Work" section for top-tier Human-Computer Interaction (HCI) conferences like CHI. It emphasizes moving beyond mere literature inventory to actively positioning your contribution by identifying research gaps across various disciplinary lanes (e.g., Psychology, Design, HCI family). Following these guidelines is crucial for avoiding desk rejection due to insufficient contextualization.

This skill provides a comprehensive guide for authors targeting high-level Chinese academic journals in the field of management science. It assists users in determining if their manuscript's theoretical contribution, methodological rigor, and practical context align with the journal's specific requirements. It covers journal positioning, required theoretical frameworks, structural improvements, and common publishing pitfalls.

This guide provides rigorous methodology for authors to structure the policy and institutional background section of empirical economic manuscripts. Highlighting the journal's reliance on verifiable details (exact file names, dates, implementation rules), it teaches how to connect policy context directly to quasi-experimental identification strategies (like DID and event-study), ensuring the validity of causal claims and preventing common desk-reject issues.

A comprehensive guide for researchers on developing robust and original economic topics, particularly within the context of Chinese industrial economics. It emphasizes structuring research around clean policy quasi-experiments, quantifiable empirical facts, and defining 3-5 distinct marginal contributions to ensure scholarly depth and avoid common pitfalls.

A comprehensive guide on structuring and writing the 'Related Work' and literature review sections for high-impact, comprehensive computer science journals. It emphasizes establishing the research gap (the 'delta'), structuring comparisons (Classification-Comparison-Gap), balancing literature coverage (classic vs. modern, local vs. global), and adhering to academic citation norms (e.g., GB/T 7714). Essential for authors needing to clearly define their novelty in a cross-disciplinary context.

This guide provides a rigorous framework for designing and interpreting quantitative case studies in academic manuscripts. It instructs authors on justifying parameter sources (real data, literature, policy), structuring comprehensive experiment matrices (effectiveness, sensitivity, boundaries, context), and moving beyond mere result description to deep mechanism-based analysis.