Can this skill handle large datasets?

Yes, it provides specific guidance on using LayerChart's Canvas rendering capabilities to maintain 60fps performance with datasets exceeding 5,000 points.

What is the LayerChart Claude Code Skill?

It is a specialized extension that enables Claude to act as an expert guide for the LayerChart Svelte library, assisting with component composition, chart implementation, and data transformation.

Is it compatible with SvelteKit?

Yes, LayerChart is fully SSR-compatible, and this skill helps developers optimize visualization components for server-side rendering within SvelteKit.

Does LayerChart support geographic maps?

Absolutely. The skill includes expertise in building choropleths, bubble maps, and animated globes using various projections like Mercator, Azimuthal, and Equal Earth.

How does it handle chart animations?

The skill leverages LayerChart's integration with Svelte's native motion primitives and transitions to provide smooth, reactive data updates across all visualization types.

LayerChart Svelte Visualizations

Name: LayerChart Svelte Visualizations
Author: linehaul-ai

bylinehaul-ai

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분석 및 모니터링

Builds sophisticated, responsive, and interactive data visualizations in Svelte using unopinionated building blocks and motion primitives.

소개

LayerChart is a comprehensive Svelte visualization framework that empowers developers to create complex charts across Cartesian, radial, hierarchical, and geographic types. Built on Layer Cake, it provides a flexible architecture combining data-driven components with motion-enabled SVG primitives and high-performance Canvas rendering for large datasets. This skill provides Claude with the specialized expertise needed to implement advanced data transformations, responsive layouts, and interactive elements like tooltips and pan/zoom within the LayerChart ecosystem, making it ideal for building professional-grade analytics dashboards.

주요 기능

Multi-format rendering across SVG, Canvas, and HTML for optimal performance
Comprehensive support for Cartesian, Radial, Hierarchical, and Geo visualizations
Advanced data transformation utilities including stack, bin, and groupLonger
Seamless integration with Svelte motion primitives for fluid data transitions
Responsive layout management with automatic scale handling via LayerCake context
1 GitHub stars

사용 사례

Creating interactive geographic maps and choropleths with custom d3-geo projections
Implementing complex hierarchical data visualizations like sunbursts, treemaps, and sankey diagrams
Building high-performance analytics dashboards with thousands of data points using Canvas

소개

주요 기능

Multi-format rendering across SVG, Canvas, and HTML for optimal performance
Comprehensive support for Cartesian, Radial, Hierarchical, and Geo visualizations
Advanced data transformation utilities including stack, bin, and groupLonger
Seamless integration with Svelte motion primitives for fluid data transitions
Responsive layout management with automatic scale handling via LayerCake context
1 GitHub stars

사용 사례

Creating interactive geographic maps and choropleths with custom d3-geo projections
Implementing complex hierarchical data visualizations like sunbursts, treemaps, and sankey diagrams
Building high-performance analytics dashboards with thousands of data points using Canvas