Skill UI

A specialized methodology for reviewing APIs, configuration schemas, and interfaces to identify 'footguns'—design choices where the path of least resistance leads to insecurity. This analysis focuses on making secure usage the default, covering topics like dangerous defaults, primitive vs. semantic type safety, and insecure algorithm selection. It is crucial for architects and reviewers to prevent developer misuse at the design level.

This guide teaches researchers how to rigorously assess a topic's geographic significance and determine its optimal fit within the Annals of the American Association of Geographers (AAG). It implements a two-part fit test—ensuring the argument is fundamentally geographic (space/place/scale are load-bearing) and possesses sufficient reach to interest neighboring subfields. It guides authors in choosing the correct area (e.g., Human, Physical, Methods) and appropriate journal venue (Annals vs. specialty). Use this when defining a project scope, overcoming reviewer critiques, or deciding wher...

This tool serves as an orchestrator for manuscripts submitted to the Annals of the AAG. It guides authors through the complex submission process by helping define the appropriate academic area (e.g., Human Geography, Physical Geography), the article format (Article, Commentary), and the sequential developmental stages—from topic selection and theory building to data analysis and final submission. It ensures the work is framed legitimately as *geography*.

This guide helps researchers strategically decide if their AI project is a strong fit for the AAAI conference. It provides detailed criteria, including strong and weak signals, and routing logic to determine whether the work should be submitted to AAAI, or routed to specialized venues like NeurIPS, ICML, or domain-specific conferences (e.g., CVPR, KDD). Use it to refine your project's framing and maximize submission success.

This guide provides a comprehensive project management framework for submitting research to the AAAI conference. It maps out every critical milestone, from initial topic selection and abstract submission, through the two-phase peer review, writing the rebuttal, and preparing the final camera-ready version and public artifacts. It emphasizes backward planning from hard deadlines and maintaining evidence integrity throughout the rigorous academic lifecycle.

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.

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 comprehensive guide structures the entire academic publishing journey for Acta Automatica Sinica (AAS). It breaks down the process from initial topic selection and writing to double-blind review, multi-round revisions, and final publication. It outlines critical milestones, stage gates, and potential pitfalls to help authors manage the complex timeline and ensure a professional, structured submission.

A comprehensive guide for NLP researchers on strategically positioning their work before writing. It teaches how to determine the core linguistic contribution, select the optimal academic venue (ACL, EMNLP, etc.), manage the scope (long vs. short papers), and align the research focus with specific conference themes and review expectations, maximizing publication impact.

A comprehensive guide for researchers to determine if their work represents a genuine cross-modal or media-systems contribution suitable for ACM Multimedia (ACM MM). It helps route projects by testing for cross-modality, media system advances, or human-centric results, distinguishing between pure CV, NLP, or system-heavy claims.

This guide helps researchers elevate general empirical ideas (e.g., 'X affects Y') into rigorous, theory-driven accounting contributions. It outlines four sources of academic contribution, identifies key areas (auditing, financial accounting, governance), and teaches how to anchor research in specific accounting mechanisms and China's institutional context, meeting the standards of top-tier accounting journals.

This guide helps researchers strategically assess whether their empirical microeconomics project is best suited for the American Economic Journal: Applied Economics (AEJ: Applied). It provides a structured framework to test the project's causal design, scope, and cross-field appeal, ensuring the question is 'AEJ: Applied-shaped' rather than being too general (AER) or too specialized (Field Journal).