Scientific Visualization Executor Skill

When to Use

Primary triggers:

• "plot this function", "3D surface plot", "network graph", "vector field"
• "generate a scientific visualization", "create a contour plot"
• "visualize this molecular structure", "plot the phase diagram"
• User has scientific/mathematical data and needs an interactive HTML visualization
• User has a dataviz-planner spec for a scientific chart type

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Do Not Use When

• You need a standard chart (bar, line, scatter, pie) — use dataviz-executor
• You need to design a visualization — use dataviz-planner first
• You need to review a visualization — use dataviz-critic
• You need a dashboard with multiple charts — use dashboard-executor
• You need statistical analysis — analyze first, then visualize
• You need Python/R output — this produces HTML only

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Resolution Paths

Situation	Route
Need 3D surface, network, or math plot	This skill
Need standard bar/line/scatter chart	Use dataviz-executor
Need to design the visualization first	Use dataviz-planner, then come back
Have a visualization, need review	Use dataviz-critic
Need multiple charts in a dashboard	Use dashboard-executor

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Supported Visualization Types

Type	Library	Use Case
3D Surface	Plotly.js	Potential energy, topography, response surfaces
3D Scatter	Plotly.js	Molecular structures, point clouds, PCA
3D Mesh	Plotly.js	Isosurfaces, molecular surfaces
Network Graph	Cytoscape.js	Citations, protein interaction, dependencies
Force-Directed Graph	D3.js v7	Small networks (<500 nodes)
Function Plot	Plotly.js + KaTeX	Math functions, parametric curves, polar plots
Phase Diagram	D3.js + SVG	State transitions, stability regions
Vector Field	D3.js + SVG	Flow fields, gradients, EM fields
Contour Plot	Plotly.js	Topographic maps, probability density
Scientific Heatmap	Plotly.js	Correlation matrices, gene expression

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What You Get

• Self-contained HTML file with appropriate CDN libraries (Plotly.js, D3.js, Cytoscape.js, KaTeX)
• Scientific color maps (Viridis, Plasma, Inferno, Magma, Cividis — all colorblind-safe)
• Unit-aware axis labels (e.g., "Energy (eV)", "Distance (nm)")
• Uncertainty and publication-readiness checks (error bars/confidence bands when available, multi-panel consistency, export constraints, grayscale legibility)
• LaTeX equations rendered via KaTeX
• Interactive controls (3D orbit, network drag, tooltips)
• Deviation log and critic handoff command

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Companion Skills

• dataviz-planner (upstream): Designs the visualization plan
• dataviz-critic (downstream): Reviews the generated visualization

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meta-router Registry Note

Listed under the Executors table. Trigger signals: 3D plot, surface plot, network graph, force graph, function plot, vector field, phase diagram, contour plot, scientific visualization, mathematical plot, LaTeX plot