What is LayerChart and how does this skill help?

LayerChart is a Svelte visualization framework built on Layer Cake. This skill provides Claude with the specific patterns, data transformation utilities, and component architectures needed to build professional, interactive charts quickly.

Does it support server-side rendering (SSR)?

Absolutely. LayerChart is fully compatible with SvelteKit and SSR, ensuring your visualizations are rendered on the server for better SEO and faster initial page loads.

Can I use LayerChart for high-volume data?

Yes, the skill includes patterns for Canvas-based rendering, which is recommended for datasets with over 5,000 points to maintain 60fps performance while using SVG for interactive overlays.

How does it handle responsive design?

The skill guides you in using LayerChart's built-in padding configurations and container-aware components that reactively update scales and dimensions based on the parent container's size.

LayerChart Data Visualization

Name: LayerChart Data Visualization
Author: linehaul-ai

bylinehaul-ai

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Design Tools

Builds responsive, high-performance data visualizations and interactive charts using the LayerChart Svelte framework.

About

LayerChart is a specialized skill that empowers Claude to architect and implement complex data visualizations within Svelte applications. By leveraging unopinionated building blocks and motion primitives, this skill provides expert guidance on creating everything from standard Cartesian bar charts to advanced geographic choropleths and hierarchical treemaps. It streamlines the development process by providing optimized patterns for data transformations like stacking and binning, while offering high-performance rendering solutions using SVG, Canvas, and HTML layers.

Key Features

Hybrid rendering support combining SVG precision with Canvas performance for large datasets.
Motion-enabled SVG primitives for smooth, animated data updates and transitions.
1 GitHub stars
Support for diverse chart types including Cartesian, radial, hierarchical, and geographic maps.
Built-in data transformation utilities for stacking, binning, and grouping datasets.
Interactive component patterns for tooltips, pan/zoom, and reactive state management.

Use Cases

Creating responsive business intelligence dashboards with real-time data updates.
Building high-performance financial charts that handle thousands of data points efficiently.
Developing interactive geographic maps and choropleths for spatial data analysis.

About

Key Features

Hybrid rendering support combining SVG precision with Canvas performance for large datasets.
Motion-enabled SVG primitives for smooth, animated data updates and transitions.
1 GitHub stars
Support for diverse chart types including Cartesian, radial, hierarchical, and geographic maps.
Built-in data transformation utilities for stacking, binning, and grouping datasets.
Interactive component patterns for tooltips, pan/zoom, and reactive state management.

Use Cases

Creating responsive business intelligence dashboards with real-time data updates.
Building high-performance financial charts that handle thousands of data points efficiently.
Developing interactive geographic maps and choropleths for spatial data analysis.