Skill UI

A comprehensive guide designed to help researchers determine the optimal conference or journal venue (e.g., AAMAS, NeurIPS, ICML, EC) for multi-agent AI research. It emphasizes that the contribution must center on the interaction result—such as mechanism design, coordination, or negotiation—rather than simply applying a single-agent method in a multiagent testbed. This tool sharpens the research framing before writing begins.

A comprehensive guide for revising complex multi-agent research papers for top-tier conferences. It emphasizes an 'interaction-first' approach, ensuring the unique contribution is highlighted on the first page. The guide mandates naming solution concepts, making the game legible, and rigorously pairing every major claim with a formal proof, self-play, or deployment experiment.

Provides comprehensive guidelines for authors submitting papers to Acta Automatica Sinica (AAS). It details how to organize and present anonymous, reproducible code, data, and experimental artifacts to enhance the credibility and rigor of research in control, automation, and pattern recognition, supporting the double-blind review process.

A comprehensive guide for designing and presenting rigorous experiments and simulations for top-tier journals in Control Theory, Robotics, and Smart Systems. Covers RQ-driven design, establishing fair baselines, providing theoretical proofs of stability/convergence, performing ablation studies, and ensuring statistical significance, helping authors build an undeniable evidence chain for double-blind external review.

A comprehensive guide on writing literature reviews and related work sections, specifically tailored for high-impact journals like Acta Automatica Sinica (AAS). It teaches authors how to frame their research by focusing on the incremental contribution (delta), moving beyond simple literature listing to establish clear gaps, contrasting current limitations, and rigorously defining the work's novelty in a structured manner.

Provides comprehensive guidelines for achieving scientific reproducibility in academic research, particularly for control systems, automation, and pattern recognition. It covers fixing environment dependencies, data handling, random seeds, and process pipelines, helping authors withstand rigorous peer review questioning and build verifiable research artifacts.

A comprehensive audit checklist designed to guide authors through the rigorous preparation process for submitting academic manuscripts to Acta Automatica Sinica (AAS). It covers critical steps such as adopting double-blind anonymity, mandatory author commitment forms, ensuring originality, and meeting the high formatting standards required for top-tier publications in control and automation theory.

This skill guides researchers to determine if their topic fits the scope of Acta Automatica Sinica (AAS). It provides detailed boundaries for control theory, pattern recognition, robotics, and smart systems, helping authors distinguish their contribution from pure algorithms or system software, and advising on appropriate article type (Review/Paper/Short) to avoid initial rejection.

This skill is a specialized tool designed for scholars to assess the suitability and scope of their academic review article against the rigorous standards of top-tier management journals, such as Academy of Management Annals (AMA). It helps determine if a manuscript is merely a summary, or if it possesses the necessary synthesis, new organizing framework, and credible future research agenda required for publication in a highly selective venue.

This advanced skill provides a rigorous framework for assessing whether an organizational or management research manuscript is suitable for highly selective, theory-driven journals like the Academy of Management Journal (AMJ). It guides authors on necessary theoretical framing, methodological rigor (e.g., endogeneity, causal inference), structural improvements, and common pitfalls to avoid, significantly improving submission quality and maximizing acceptance chances.

This tool guides authors to assess whether their management or organizational research manuscript is suitable for the Academy of Management Review (AMR). It focuses on the journal's pure-theory nature, providing detailed checks on conceptual novelty, logical rigor, structural requirements, and identifying potential desk-reject risks for non-empirical, theory-building papers.

This skill guides users through the process of assessing if their academic manuscript aligns with the scope and standards of *Accounting and Economics Research*. It covers journal positioning, required structure (abstract, citations), methodological rigor, and common pitfalls, helping researchers optimize their writing for specific academic venues.