Type-stable vector operations and custom vector classes using vctrs. Use this skill when building R packages with custom types, need guaranteed output types regardless of input values, implementing consistent coercion/casting rules, or creating vector classes that work seamlessly with data frames. Covers when to use vctrs vs base R, building custom vector classes, coercion methods, and testing vctrs classes.
Modern tidyverse patterns, style guide, and migration guidance for R development. Use this skill when writing R code with dplyr, reviewing tidyverse code, updating legacy R code to modern patterns, or enforcing consistent style. Covers native pipe usage, join_by() syntax, .by grouping, pick/across/reframe operations, tidy selection, stringr patterns, naming conventions, spacing, and migration from base R or older tidyverse APIs.
Implements Syncfusion .NET MAUI Sunburst Chart (SfSunburstChart) for hierarchical data visualization using a radial, multi-level circular layout. Use this for sunburst charts, radial hierarchical charts, multi-level pie charts, or hierarchical data visualization with drill-down capabilities. Ideal for visualizing organizational structures, file systems, or nested categorical data.
Implements Syncfusion .NET MAUI TreeMap (SfTreeMap) for visualizing hierarchical data with rectangles sized and colored by values. Use when implementing hierarchical data visualization, heat maps, squarified layouts, multi-level data grouping, or brush settings for hierarchical displays. This skill covers installation, data binding, layout types, hierarchical levels with GroupPath, legend configuration, tooltips, and TreeMap customization.
Implements Syncfusion .NET MAUI Radial Gauge (SfRadialGauge) components. Use when working with radial gauges, circular gauges, speedometers, temperature monitors, meter gauges, or circular data visualization in .NET MAUI applications. This skill covers installation, axis configuration, ranges, pointer types (needle, shape, content, range), annotations, and animation.
Implements Syncfusion .NET MAUI Pyramid Chart (SfPyramidChart) for visually representing hierarchical, proportional, and parts-to-whole data using pyramid-shaped segments. Use this for pyramid charts, hierarchical data visualization, proportional data display, or segment-based charts. This skill covers installation, data binding, legends, tooltips, data labels, appearance customization, and gradients.
Implements Syncfusion .NET MAUI DateTime Range Selector (SfDateTimeRangeSelector) for interactive date/time range selection with chart integration. Use when working with range selectors, date range pickers, time range selection, chart range filtering, or interactive range controls. Covers range selection UI, filtering chart data by date range, and selecting time periods.
Implements Syncfusion .NET MAUI Linear Gauge (SfLinearGauge) for data visualization with scales, pointers, and ranges. Use when creating linear gauges, displaying measurements on linear scales, showing progress indicators, or building thermometer-style visualizations. Covers gauge pointer configuration, bar pointers or shape markers, draggable gauge pointers, and animated gauge transitions.
Implements Syncfusion .NET MAUI Polar Charts (SfPolarChart) for visualizing data in polar coordinates. Use when working with polar charts, radar charts, spider charts, web charts, or circular data visualization. Ideal for displaying data in terms of values and angles, creating line or area series in polar layouts, or comparing multiple data series radially.
Implements Syncfusion .NET MAUI Maps (SfMaps) control. Use when implementing maps, visualizing geographic data, or displaying shape layers and tile layers (OpenStreetMap, Azure maps, Google Maps, Bing Maps). Covers markers, bubbles, legends, data labels, tooltips, sublayers, zoom and pan features, or spatial data visualization in .NET MAUI applications.
Apply statistical techniques to data — descriptive statistics, distributions, hypothesis testing, A/B test evaluation, outlier detection, trend analysis, correlation, forecasting, p-values, confidence intervals, significance testing, and avoiding common statistical pitfalls like Simpson's paradox and survivorship bias.
Implements and customize Syncfusion .NET MAUI DataGrid (SfDataGrid) for displaying tabular data. Use when working with MAUI data grids, SfDataGrid, tabular data display, data binding to grids, or column configuration. Covers editing cells, sorting, filtering, grouping, paging, exporting to Excel/PDF, row operations, selection, and summaries.
Quality-check a data analysis before sharing — verify joins, aggregations, denominators, time ranges, and metric definitions. Detect pitfalls like survivorship bias, average-of-averages, join explosion, timezone mismatches, incomplete periods, and selection bias. Includes documentation templates for reproducible analyses.
Implements Syncfusion .NET MAUI Circular Charts (SfCircularChart) including pie, doughnut, and radial bar chart types. Use when implementing circular data visualization, pie charts, doughnut charts, or radial bar charts. Ideal for percentage breakdowns, category comparisons, part-to-whole relationships, or displaying proportional data in circular format.
Implements Syncfusion .NET MAUI Cartesian Chart (SfCartesianChart) for data visualization with 20+ chart types including line, area, column, bar, financial, statistical, and stacked charts. Use when implementing cartesian charts, line charts, area charts, or financial charts (candle, OHLC). Covers chart axes, legends, tooltips, trackball, zooming and panning, chart annotations, and trendlines.
Use when user asks for digest ("дайджест", "саммари", "что нового", "digest", "summary") - fetches data via API and generates detailed analysis
Statistical modeling workflow guide for hypothesis tests, effect-size reporting, statsmodels regression, diagnostics, and structured result export. Use when the user asks for statistical test selection, OLS or logistic regression, coefficient tables, inference, or reproducible statistical summaries for scientific datasets.
Survival and time-to-event workflow guide for Kaplan-Meier summaries, log-rank tests, and Cox proportional hazards models with reproducible outputs. Use when the user asks for time-to-event analysis, censored data summaries, hazard ratios, or survival-group comparison for research datasets.
Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly. Use when the user asks for scientific plots, cohort or assay figures, publication graphics, dashboards, or reusable plotting scripts for research datasets.
Risk-Based Value audit worker (L3). Calculates Usefulness Score = Impact (1-5) × Probability (1-5) for each test. Returns KEEP/REVIEW/REMOVE decisions based on thresholds (≥15 KEEP, 10-14 REVIEW, <10 REMOVE).
