Converts data, research, and articles into infographic-ready summaries with visual hierarchy and chart suggestions. Use when the user asks about infographics, data visualization, visual summaries, chart types, or statistics presentation.
Create complex graph visualizations using Graphviz DOT language, with both source code and pre-rendered images.
Compact Plotly visualization patterns. Express for quick plots, Graph Objects for control.
Generate D3.js visualizations including charts, graphs, and interactive data visualizations. Use when creating data visualizations with D3.js.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Fix for Plotly FigureWidget KeyError: 'uid' when updating shapes with sliders. Trigger: interactive Plotly dashboard errors, FigureWidget batch_update issues
Matrix data model verification using ASCII diagrams. Use when working with *Progressions.ts files, defineProgression(), or testing how 2D numeric grids evolve over time. Auto-apply when editing files matching *Progressions.ts or src/test-utils/ascii*.ts.
Systematic exploratory data analysis following best practices. Use when analyzing any dataset to understand structure, identify data quality issues (duplicates, missing values, inconsistencies, outliers), examine distributions, detect correlations, and generate visualizations. Provides comprehensive data profiling with sanity checks before analysis.
Create AntV Infographic visualizations in Obsidian using fenced `infographic` code blocks. Use when the user wants to render process flows, timelines, hierarchies, charts, or comparison matrices within Obsidian markdown documents. Supports JSON and DSL syntax formats.
Create D3 questions with double number lines showing proportional relationships. Students complete missing values on parallel number lines.
This skill should be used when the user asks "Chart.js options", "Chart.js animations", "Chart.js legend", "Chart.js tooltip", "Chart.js title", "disable Chart.js animation", "customize Chart.js tooltip", "Chart.js responsive", "Chart.js aspect ratio", "Chart.js interactions", "Chart.js hover", "Chart.js click events", "Chart.js layout", "Chart.js padding", "Chart.js font", "Chart.js colors", "Chart.js external tooltip", "Chart.js custom legend", "Chart.js transitions", or needs help configuring Chart.js v4.5.1 options, plugins, and styling.
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Download and generate plots from Weights & Biases runs. Use when you need to: - List projects you have access to - List runs in a W&B project - Inspect available metrics for a run - Download existing plot images from a run - Generate line plots from metric history (loss, accuracy, etc.)
Analyzes CSV files, generates comprehensive summary statistics, identifies data patterns, and creates visualizations using Python and pandas. Automatically adapts analysis based on data type (sales, customer, financial, survey, operational).
This skill should be used when the user asks "how to create a line chart", "Chart.js bar chart", "pie chart Chart.js", "doughnut chart", "radar chart", "polar area chart", "bubble chart", "scatter chart", "mixed chart", "combo chart", "area chart", "stacked chart", "horizontal bar chart", "Chart.js chart types", "dataset properties", "chart data structure", or needs help implementing specific Chart.js v4.5.1 chart types.
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ะญะบัะฟะตัั ะฟะพ compliance ะพััััะฐะผ. ะัะฟะพะปัะทัะน ะดะปั SOX, GDPR, HIPAA, SOC 2 ะฐัะดะธัะพะฒ ะธ ะดะพะบัะผะตะฝัะฐัะธะธ ัะพะพัะฒะตัััะฒะธั.
Sorting and searching algorithms including O(n) partitioning, binary search, and hierarchical multi-key sorting. Triggers: sort, argsort, partition, searchsorted, lexsort, nan sort order.
Developing Heart Atlas notebooks converted to HTML (local)
Generate and interpret forest plots for meta-analysis visualization using R and the metafor package. Use when users need to create forest plots, understand visual representation of pooled effects, or interpret study weights and confidence intervals.
Create interactive data visualizations using D3.js for charts, graphs, maps, and custom visual analytics
