Skill UI

This guide details the scope and requirements for submitting to the Journal of Chengdu Sport University. The journal excels in areas like sport history, ethnic traditional sports, martial arts, and traditional health culture. It is best suited for academically rigorous papers that utilize historical or ethnographic methods to connect deep cultural roots with modern sports science.

officecli is a robust, dependency-free CLI tool designed for working with Microsoft Office formats (.docx, .xlsx, .pptx). It allows users to programmatically create, analyze, modify, and extract structured data from complex documents, enabling advanced content manipulation, schema validation, and automated workflows entirely from the command line.

Build a multi-element Excel dashboard from CSV or tabular data: a Dashboard sheet with formula-driven KPI cards, multiple cell-range charts, sparklines, and conditional formatting, output as a single .xlsx file.

This skill is designed for building complex, audit-ready financial models in Excel. Use it for 3-statement projections, DCF valuation, LBO analysis, unit economics, or advanced scenario planning. It enforces professional standards like the three-zone architecture (Inputs, Calculation, Outputs), strict formula discipline, and robust auditing gates, ensuring the output is suitable for high-stakes decision-making.

This skill guide teaches how to use a CLI tool to programmatically create, modify, and validate complex Excel (.xlsx) files. It covers everything from building robust financial models and dashboards to parsing raw data and ensuring the output adheres to professional standards, including zero formula errors and proper print layouts. Ideal for data engineering and business intelligence workflows.

A specialized methodology for theoretically placing a new model within an existing academic conversation. It instructs the user to build a 'rival map' by identifying diagnostic phenomena, contrasting them with established rival theories, and explicitly stating where the new theory excels, surpasses, or subsumes existing claims. This approach moves beyond simple literature review to active theoretical confrontation.

This guide is designed for advanced academic research, helping scholars evaluate whether their current research idea meets the rigorous standards of top-tier economics journals (e.g., REStud). It teaches how to distill complex findings into a single, original, and technically excellent contribution, diagnosing potential weaknesses in novelty, scope, and general interest.

A comprehensive guide for authors drafting or revising academic papers for Web Conference (WWW). It teaches how to structure the paper around a web-native mechanism, quantify scale, and write for a mixed computing and social science audience. Learn best practices for page-one impact, compression, and stylistic details to maximize review scores.

This skill guides the creation of self-contained, highly accessible, and reproducible exhibits (tables, figures, maps) for World Politics manuscripts. It addresses strict length limits by differentiating between core arguments (in the article) and supplementary material (online appendix). It emphasizes visual communication excellence, moving beyond simple coefficient tables to forest plots and event studies to convey magnitude and uncertainty effectively.

This workflow performs a comprehensive review against the Azure Well-Architected Framework (WAF) using your existing Infrastructure as Code (IaC) and deployed resources. It systematically checks the five pillars—Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency—identifying architectural risks, drift, and compliance gaps. Findings are automatically logged and converted into actionable GitHub issues for streamlined remediation.

Polars is a lightning-fast DataFrame library designed for efficient, memory-efficient data processing in Python and Rust. Built upon Apache Arrow, it supports lazy evaluation and parallel execution, making it ideal for ETL pipelines, large-scale data transformations, and scenarios where standard Pandas performance is insufficient. It excels at handling datasets up to 100GB that fit within available RAM.

This tool tests your deep understanding of code you have recently written or reviewed. It generates structured, multi-level questions (Recall, Understanding, Application, Analysis, Synthesis) based on the provided code. Users can focus the quiz on specific areas like error handling, performance, or security, making it an excellent mechanism for continuous learning and solidifying technical knowledge.