visualize
SolidRender rich interactive visuals — SVG diagrams, HTML widgets, Chart.js charts, interactive explainers — directly inline in chat using the render_visualization tool. Use whenever the user asks to visualize, diagram, chart, draw, map out, or illustrate something, or when a topic has spatial, sequential, or systemic relationships a diagram would clarify better than prose. Also use proactively for data comparisons, metrics, architecture, processes, or mechanisms that benefit from a visual.
Install
Quality Score: 89/100
Skill Content
Details
- Author
- Classic298
- Repository
- Classic298/open-webui-plugins
- Created
- 2 months ago
- Last Updated
- 3 days ago
- Language
- Python
- License
- BSD-3-Clause
Integrates with
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explainer
Generate dense, visual-first HTML explainers in a signature dark aesthetic — diagrams carry the design, prose is captions only. Every section has a custom inline-SVG visualization: pipeline DAGs, archetype grids, hub-and-spoke diagrams, decision trees, risk matrices, gantt timelines, layer cakes, palette swatches, side-by-side comparisons. Dark theme with mint/violet/amber/cyan/coral accents, monospace section kickers, kicker → h1 → lede → meta header pattern. Inline SVG only — no external assets, no images, no JS. Self-contained single-file HTML output. USE WHEN: explainer, make an explainer, visual doc, architecture HTML, design doc, dark theme HTML, html map, system overview, dashboard reference, prose-heavy is failing, want more visuals, build an HTML diagram, render system as visual reference. NOT FOR: full web pages or apps (use a web design skill), short prose summaries, markdown documents, or anything with photographs/raster images.
datavis
Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG. Use when (1) building interactive data visualizations, (2) designing color palettes for charts, (3) choosing scales and visual encodings, (4) creating data pipelines from Census/SEC/Wikipedia APIs, (5) crafting narrative-driven data stories, (6) making perceptually accurate charts, or (7) implementing force-directed networks, timelines, or geographic maps.
visualizing-data
Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.
concept-diagrams
Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.
visual-cook
Grilling session for visual work that pins fuzzy design language to concrete decisions, grounds disagreements in real renders, and records the result in a visual vocabulary (DESIGN.md) and design-decision records. Use when a UI feels off, when establishing or extending a visual system, or when polishing a single detail.