Skill UI

A comprehensive guide for constructing conceptual exhibits—such as process models, 2x2 typologies, and multi-level frameworks—for academic manuscripts. This resource emphasizes that figures must represent pure theoretical work (constructs and relationships) rather than empirical data plots, ensuring structural clarity for top-tier academic publishing.

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.

This comprehensive guide helps computer vision researchers strategically position their work for the Asian Conference on Computer Vision (ACCV). It covers how to evaluate manuscript fit, restructure the narrative from general to conference-specific, optimize evidence presentation (including ablations and failure modes), and understand ACCV's regional niche compared to global flagships like CVPR or ECCV.

This skill utilizes a configured graph database (Codebase Memory) to accelerate code discovery, understand system architecture, perform symbol lookups, and trace dependencies (callers, callees, data flow). It is crucial for navigating unfamiliar or complex codebases, providing insights into impact analysis and module relationships. Always confirm graph findings with local source code or files.

This skill helps authors strategically decide the optimal venue for their Language Model research. It provides the critical "object-of-study test" to determine if the LM itself is the subject of the study, or merely a tool for a task. Furthermore, it guides routing against top-tier NLP/AI conferences (ACL, NeurIPS, ICLR, etc.), helping authors target the right audience and maximizing submission chances.

This guide helps researchers determine if their embodied AI or robotics project is best suited for the Conference on Robot Learning (CoRL). It provides a rigorous two-axis test—assessing if learning is the core contribution and if embodiment is essential to the claim—to decide between submitting to CoRL, ICRA, IROS, NeurIPS, or other journals.

A specialized routing tool designed for academic researchers submitting manuscripts to top-tier Computer Science and AI conferences. It helps users navigate complex decision points, such as selecting the best venue (e.g., ICML vs NeurIPS), matching contribution types (theory, system, empirical study), and adhering to specific submission guidelines and review constraints.

A comprehensive guide for authors preparing research manuscripts for top-tier academic economics journals. It details the systematic process of responding to reviewer reports (R&R), covering structural requirements, appropriate tones (acceptance, partial acceptance, rejection), and specific methodological tips (e.g., addressing endogeneity, mechanism identification, and policy relevance in the context of Chinese economics).

A comprehensive guide for computer vision researchers on strategically positioning their work. It helps assess whether the core contribution is related to visual data or visual computation, providing fit tests and a routing map to recommend the most appropriate top-tier conferences (CVPR, ICCV, NeurIPS) or journals based on the contribution type and technical maturity.

A comprehensive guide detailing advanced econometric methods for establishing causal relationships in policy evaluations. It covers techniques such as Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and structural modeling. The core focus is bridging the gap between econometric rigor and policy legibility, ensuring that the causal mechanism is explicit in the main text while maintaining formal defense in the appendix.

This guide provides rigorous criteria for authors targeting top-tier journals in electrochemical energy storage. It emphasizes that successful submissions must move beyond simple synthesis-plus-capacity reports, instead focusing on robust structure–property–mechanism relationships, supported by advanced operando/in-situ characterization and detailed scientific evidence.

This guide provides rigorous standards for developing figures and tables in Earth and Planetary Science Letters (EPSL). It emphasizes making complex scientific arguments legible to a cross-disciplinary audience by mandating visible uncertainty (error ellipses, error bars), providing spatial context, and adhering to strict sub-field conventions (e.g., MSWD, depth scales). It teaches how to structure exhibits so that figures carry the argument, while detailed data resides in the supplementary material.