arcgis-arcade
Write Arcade expressions for dynamic calculations in popups, renderers, labels, and field calculations. Use for data-driven styling, custom labels, and computed fields.
highcharts
Create enterprise-grade interactive charts with Highcharts
report-summarizing
調査結果や分析レポートを4層構造（エグゼクティブサマリー→概要→詳細→Appendix）で整理し、意思決定者向けに構造化します。レポート作成時や既存ドキュメントの再構成時に使用してください。
matplotlib
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
matlab
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
statistical-software-qa
Quality assurance and testing protocols for statistical software
a-share-daily-review
生成 A 股每日市场复盘报告。从东方财富、同花顺等财经网站抓取当日市场数据和新闻，生成 Markdown 格式的复盘报告。当用户需要 A 股复盘、股市分析、市场总结时使用。
python-analytics
Python data analysis with pandas, numpy, and analytics libraries
pandas-data-processing
Pandas for time series analysis, OrcaFlex results processing, and marine engineering data workflows
arcgis-analysis-services
Perform spatial analysis, geometry operations, and use ArcGIS REST services. Use for routing, geocoding, geoprocessing, elevation analysis, viewshed, and feature queries with statistics.
whole-regrouper
Phân tích, gom nhóm, và ĐỒNG BỘ THÔNG MINH giữa Tổng Quan listing và actual group headers. v5.1.0: Intelligent Analysis with agent integration - phân tích thực sự cả hai với hỗ trợ từ specialized agents.
data-analysis
Analyze data files (CSV, JSON) and generate insights, summaries, and statistical analysis
us-census-data
This skill should be used when the user asks to "get Census data", "query American Community Survey", "find ACS data", "get population by state", "query Decennial Census", "find Census variables", "get median income data", "download demographic data", "Census API query", "get housing data from Census", or mentions US Census Bureau data (demographics, income, poverty, education, housing, population estimates, etc.).
methods-communicator
Effective communication strategies for statistical methods
analizar-icfes
Analiza ejercicios matemáticos tipo ICFES según 6 dimensiones oficiales (dificultad, competencia, componente, pensamiento, contenido, eje). Usa cuando tengas imagen de problema ICFES, pregunta matemática para clasificar, o necesites decidir si requiere gráficos complejos. Detecta automáticamente si el ejercicio necesita Graficador Experto para replicación visual.
seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
polars
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipelines, or needs better performance than pandas. Ideal for ETL, data wrangling, aggregations, joins, and reading/writing CSV, Parquet, JSON files.
window-functions-deep-dive
Master OPAL window functions for row-relative calculations, rankings, and moving aggregates. Covers lag(), lead(), row_number(), rank(), dense_rank(), moving averages, first(), and last(). Use when comparing rows to neighbors, ranking within partitions, calculating rate of change, or computing time-based moving windows. CRITICAL - OPAL uses window() function wrapper, NOT SQL OVER clause.
symbol-map-entropy-calc
Calculate entropy metrics for symbolic mapping and semantic drift.
