Skill UI

Transforms data into publication-ready figures with multi-panel layouts, precise annotations, colorblind-friendly palettes, and journal formatting using matplotlib, seaborn, and plotly plus export helpers for PDF/EPS/TIFF.

Guides research teams through a two-stage manuscript workflow: outline sections with research-lookup, enforce IMRAD structure, citation styles, figures, and reporting guidelines, then convert into polished prose for journals.

Automatically generates structured academic papers in LaTeX format. By integrating a detailed paper plan, the research narrative, and generated figures, this tool structures the content section by section. It supports major conference and journal templates (e.g., ICLR, NeurIPS, IEEE), manages complex citation fetching via DBLP/CrossRef, and allows structural guidance using reference papers. Ideal for drafting the complete manuscript.

This skill guides the creation and auditing of truthful, accessible, and publication-ready scientific figures. It emphasizes maintaining data integrity by separating universal scientific principles from journal-specific rules. Users learn proper encoding (e.g., using position on common scales, handling uncertainty/missing data) and implementing designs with scope-aware Python libraries like Matplotlib and Seaborn, ensuring compliance with WCAG standards and maximizing scientific rigor.

This advanced skill is designed to generate high-quality, publication-ready academic illustrations and diagrams. It utilizes a sophisticated, multi-stage iterative workflow involving Claude for planning, layout optimization, and strict visual review, combined with a dedicated local Codex app-server bridge for native image rendering. The process ensures that generated figures meet the rigorous aesthetic and structural standards required for top-tier conferences and journals (e.g., CVPR, NeurIPS).

A comprehensive set of guidelines for generating maps, figures, and tables for academic journals. This guide emphasizes cartographic standards, statistical rigor, and maximizing the visual argument, ensuring that all exhibits are reproducible, legible in print, and adhere to strict word count limitations. It covers everything from projection choice and data normalization to model plot interpretation and handling spatial uncertainty.

This comprehensive guide provides authors with a detailed checklist for the post-acceptance, camera-ready phase for Acta Automatica Sinica (AAS). It walks users through all necessary steps, including restoring full author details, applying the specific journal template, meticulous proofreading of formulas, figures, and references (GB/T 7714), and understanding publication and royalty procedures. Use this to ensure your manuscript is zero-defect before publication.

Provides comprehensive style guidance for writing and refining scientific manuscripts for Acta Automatica Sinica (AAS). This guide covers the structure of the reporting abstract (Purpose/Method/Result/Conclusion), handling bilingual requirements, formatting rules for equations, figures, and adherence to national standards for units and citations (GB/T 7714). Ideal for papers in control theory, robotics, and intelligent systems.

This guide helps authors tailor their manuscript to fit the specific page budget of Advanced Materials, whether it is classified as a Communication or a full Research Article. It details how to manage the length budget by coordinating text and visual display items (figures, tables) against the journal's strict typesetting page limits, ensuring the core scientific evidence remains intact while removing padding and secondary data.

A comprehensive guide for formatting and presenting empirical results (tables and figures) for submission to the American Economic Journal: Applied Economics (AEJ: Applied). It ensures that main causal estimates are immediately legible to referees by adhering to rigorous academic standards, including presenting standard errors, confidence intervals, and specific exhibit structures like event-study plots and balance tables.

A comprehensive guide for formatting research exhibits, including Impulse Response Functions (IRFs), fan charts, and econometric tables, specifically for submissions to the American Economic Journal: Macroeconomics (AEJ: Macro). This ensures all figures are self-contained, meet rigorous standards for clarity, and adhere to the latest macro conventions, allowing reviewers to quickly assess the quantitative evidence.

This guide outlines best practices for authors presenting theoretical and empirical results for top-tier journals like the American Economic Journal: Microeconomics (AEJ: Micro). It covers structuring propositions, building transparent numerical examples, creating schematic figures, and formatting tables (including mandated use of standard errors over significance asterisks) to ensure maximum clarity and adherence to academic publishing standards.