Skill UI

Guidance for creating, editing, and analyzing .xlsx workbooks while preserving formulas, formatting, and assumptions, leveraging pandas/openpyxl for data work and LibreOffice recalc to ensure error-free financial models.

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.

Generates a single formula-driven Excel dashboard from CSV/tabular data, complete with KPI cards, charts, sparklines, and conditional formatting so analysts can instantly review metrics and share an executive-ready .xlsx output.

A comprehensive skill for creating, editing, and analyzing complex spreadsheets (.xlsx, .csv, etc.). This skill excels in financial modeling, ensuring all calculations are managed via dynamic Excel formulas rather than hardcoded values. It supports data analysis using pandas, rigorous formatting standards, and complex formula integrity checks, making it ideal for financial reporting and data visualization.

This skill provides comprehensive knowledge of the Power BI Enhanced Report (PBIR) JSON schema. It details the structured metadata for report components, including visuals, pages, themes, bookmarks, and complex formatting rules. Users learn how to read and manipulate the underlying PBIR JSON to understand how Power BI reports are built and customized, adhering to strict technical guidelines and operational best practices.

A comprehensive checklist for auditing academic submissions to ACM Multimedia (ACM MM). Covers thematic area selection, formatting constraints (6-8 page limit), enforcing double-blind anonymity, managing OpenReview mechanics, and identifying common desk-reject triggers. Essential for authors preparing technical papers for top-tier conferences.

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.

This skill guides authors on condensing complex empirical research findings (tables and figures) to meet the strict formatting constraints of top academic journals like AER: Insights. It enforces a maximum of five one-page exhibits, teaches authors how to select the headline result, central diagnostics, and mechanism, and ensures adherence to specific house styles, such as reporting standard errors instead of significance asterisks, while managing word count budgets.

This guide provides detailed standards for formatting empirical results (tables and figures) for the Academy of Management Journal (AMJ). It covers best practices for reporting correlation matrices, regression/SEM/HLM results, theoretical model diagrams, and interaction plots, ensuring adherence to strict academic publishing house styles (AOM house style). It helps users create self-contained, publication-ready exhibits.

This guide provides strict guidelines for compiling and formatting scholarly exhibits (tables, figures, and appendices) for top-tier accounting journals, such as CAR. It ensures compliance with academic style guides, requiring variable definitions, clustered standard errors, and self-contained presentation so that the results are immediately interpretable by reviewers. It is crucial for transforming raw analysis output into submission-ready academic materials.