Results for “explanatory-diagrams”

Generate Excalidraw diagrams from natural language descriptions, supporting flowcharts, relationship diagrams, mind maps, architecture diagrams, and more. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.

Provides guides for creating diagrams and visualizations using Mermaid, Excalidraw, PlantUML, TikZ, and other tools, covering flowcharts, architecture diagrams, and scientific illustrations.

Generate, edit, and validate draw.io diagram files (.drawio) with correct mxGraph XML structure for flowcharts, architecture, sequence, ER, and UML diagrams.

Creates a New York Times-style data chart frame with animated reveal, supporting line, bar, and range-band charts from CSV/JSON or a textual conclusion.

Create professional, dark-themed SVG diagrams of any type — architecture, flowcharts, sequence, structural, mind maps, timelines, and more.

Comprehensive exploratory data analysis with publication-quality descriptive tables, correlation matrices, distribution plots, and assumption testing. Generates a standalone EDA report with Table 1 (gtsummary/great_tables), correlation heatmap, distribution diagnostics, VIF for multicollinearity, and normality/homoscedasticity tests. All figures are APA-formatted and colorblind-safe. Use when the user says "exploratory analysis," "EDA," "descriptive statistics," "explore the data," "Table 1," "correlations," "distributions," or when /data-clean completes successfully. Triggers on "EDA," "descriptive," "Table 1," "explore," "correlations."

Generates editable diagram source code (Mermaid, Graphviz DOT, PlantUML, SVG) from natural language, code, schemas, or notes for flowcharts, sequence diagrams, ER diagrams, architecture diagrams, and more. Renders to PNG/SVG/PDF on request via a local Python script.