creating-data-visualizations
Generate plots, charts, and graphs from data with automatic visualization type selection. Use when requesting "visualization", "plot", "chart", or "graph".
Generate plots, charts, and graphs from data with automatic visualization type selection. Use when requesting "visualization", "plot", "chart", or "graph".
Calculate and interpret effect sizes for statistical analyses. Use when: (1) Reporting research results to show practical significance, (2) Meta-analysis to combine study results, (3) Grant writing to justify expected effects, (4) Interpreting published studies beyond p-values, (5) Sample size planning for power analysis.
Identify anomalies and outliers in datasets using machine learning algorithms. Use when analyzing data for unusual patterns, outliers, or unexpected deviations from normal behavior. Trigger with phrases like "detect anomalies", "find outliers", or "identify unusual patterns".
Conduct quantitative synthesis through meta-analysis. Use when: (1) Combining effect sizes across studies, (2) Systematic review synthesis, (3) Calculating summary effects, (4) Assessing heterogeneity.
R programming for data analysis, visualization, and statistical workflows. Use when working with R scripts (.R), Quarto documents (.qmd), RMarkdown (.Rmd), or R projects. Covers tidyverse workflows, ggplot2 visualizations, statistical analysis, epidemiological methods, and reproducible research practices.
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.
Generate a comprehensive community health report from synced Discord messages
Process and analyze survey data to extract insights, identify patterns, and generate actionable recommendations
Create interactive Chart.js visualizations for DST data analysis. Use when generating charts, creating visual reports, building dashboards, or displaying trends from database tables.
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Create comprehensive social media analytics reports with insights and recommendations
Create engaging data visualizations and infographics
Master advanced declarative visualization with HoloViews. Use this skill when creating complex multi-dimensional visualizations, composing overlays and layouts, implementing interactive streams and selection, building network or hierarchical visualizations, or exploring data with dynamic maps and faceted displays.
Generate Mermaid diagrams (flowcharts, sequence, class, state, ER, C4, mindmaps, gitgraph). Use when asked to create diagrams, visualize processes, document architecture, or explain systems visually. Triggers include "diagram", "flowchart", "sequence diagram", "class diagram", "state diagram", "ER diagram", "C4", "mindmap", "gitgraph", "visualize", "draw".
Aggregate weekly summaries into a monthly overview. Use when asked to "monthly review", "review the month", "summarize this month", or "month summary".
Create diagrams and visualizations using Mermaid.js v11 syntax. Use when generating flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, user journeys, timelines, architecture diagrams, or any of 24+ diagram types. Supports JavaScript API integration, CLI rendering to SVG/PNG/PDF, theming, configuration, and accessibility features. Essential for documentation, technical diagrams, project planning, system architecture, and visual communication.
Create Mermaid diagrams for technical documentation, system design, and data modeling. Use when creating flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, git graphs, or any other Mermaid-supported diagram type. Supports both creating new diagrams from descriptions and converting diagrams to SVG format for embedding in presentations or documents.
Creates Mermaid v11+ diagrams with ELK layout and YAML frontmatter. Covers 22 diagram types: flowchart, mindmap, block, sequence, journey, state, ER, class, requirement, pie, quadrant, sankey, xy, radar, gantt, treemap, C4, architecture, packet, timeline, gitgraph, kanban. Use when visualizing: logic flow, interactions, state machines, data models, charts, system architecture, or any diagram requiring theming, classDef styling, or accessibility.
Generate mermaid architecture diagrams. Use when visualizing system flows, component relationships, sequences, or data models.
Master color management and visual styling with Colorcet. Use this skill when selecting appropriate colormaps, creating accessible and colorblind-friendly visualizations, applying consistent themes, or customizing plot aesthetics with perceptually uniform color palettes.
[Aesthetics] Extracts recurring visual patterns from references: contrast habits, shapes, density/whitespace balance, rhythm, textures. Produces Aesthetic Pattern Library as Data-Sheet nodes in Brain canvas.
DisCoPy categorical color streams via Hy with 3 parallel TAP streams