Skill UI

A comprehensive pre-submission checklist designed for authors aiming to submit original research papers to high-level academic journals, such as Acta Electronica Sinica (AES). This guide covers essential academic components, including proper abstract structuring, keyword adherence, specialized referencing formats (GB/T 7714), blind review compliance, ethical data handling, and formatting standards. It minimizes the risk of rejection during the initial editorial screening process.

This guide provides strict guidelines for designing, auditing, and reporting empirical or simulation experiments, particularly for theoretical machine learning and statistics papers. It emphasizes mapping every empirical claim to specific evidence, ensuring statistical rigor (e.g., reporting uncertainty, baselines, seeds), and validating theoretical assumptions rather than optimizing for leaderboards. Essential for research reproducibility.

A comprehensive guide for academics submitting AI and statistical research papers. It details how to map every claim (theoretical, algorithmic, or empirical) to verifiable evidence, covering necessary details like datasets, hyperparameters, random seeds, compute resources, and uncertainty estimates. It outlines the standards for achieving high levels of reproducibility, from descriptive to turnkey, ensuring scientific rigor for top-tier conferences.

This guide provides comprehensive rules for authors revising technical papers for top AI/Statistics conferences like AISTATS. It emphasizes achieving statistical rigor, explicitly stating assumptions, pairing every claim with proof or evidence, ensuring conciseness (e.g., adhering to an 8-page limit), and maintaining double-blind academic style. Perfect for PhD students or researchers preparing manuscripts for highly technical review.

A comprehensive guide for structuring academic arguments, specifically tailored to the high theoretical standards of top-tier journals like AJPS. It helps researchers transform initial ideas into a rigorous framework, defining core mechanisms, stating directional and testable hypotheses before results, and establishing clear scope conditions for empirical, formal, or methodological papers.

Designed for advanced academic reviews, this framework guides the development of a unifying 'spine' that transcends simple literature summaries. It forces the writer to impose a novel organizational logic—such as a typology, process model, or integrating construct—thereby achieving genuine theory advancement and defining the field's future research agenda. Use this when the draft reads like a disconnected list of papers.

A comprehensive guide for authors targeting the American Economic Review (AER). This skill helps authors assess whether their economics manuscript meets AER's high bar for general interest, methodological rigor, and structural presentation. It covers journal positioning, identification strategy, required modern inference techniques, and how to re-frame niche field papers for a broad disciplinary audience.

This comprehensive workflow acts as a systematic router for authors writing empirical management papers for the Academy of Management Journal (AMJ). It guides users through the entire research lifecycle—from initial topic selection and theory development, through rigorous methodology and data analysis, to refining writing style, and finally managing the submission and rebuttal process. It ensures the manuscript meets the high standards of theoretical and empirical contribution required by top-tier academic journals.

This comprehensive checklist guides authors submitting theory-only manuscripts to the Academy of Management Review (AMR). It ensures compliance with AOM formatting, rigorous anonymity standards, correct scope definition (must build new theory, no data), and ethical guidelines, minimizing desk rejection risk. It is designed for conceptual, non-empirical work.

A comprehensive guide for structuring pure mathematics manuscripts, focusing on exposition, logical flow, and readability for expert non-specialists. It emphasizes stating theorems before proof, maintaining consistent notation, and using commutative diagrams or figures only when they clarify complex relationships better than prose.

A guide for managing the length and density of advanced pure mathematics manuscripts. This skill helps authors eliminate bloat, padding, and unnecessary background while ensuring that the core mathematical proof remains complete, rigorous, and gap-free. It is essential for refining long-form academic papers for top-tier journals.

A comprehensive guide for authors targeting the Annual Computer Security Applications Conference (ACSAC). It helps assess the fit, scope, and required evidence for applied security papers, ensuring the manuscript is properly reframed from academic theory to deployable, operational defenses. Use this tool for venue selection and submission strategy.