swift-charts

Compose Swift Charts visualizations with marks, axes, and annotations in SwiftUI.

Updated Apr 19, 2026

Search Tags:#theming #accessibility #charts #swift #visualization #swiftui

Ready to run

npx skills add https://github.com/femitz/flyby --skill swift-charts-femitz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: swift-charts
Source: https://github.com/femitz/flyby/tree/main/.agents/skills/swift-charts
Command: npx skills add https://github.com/femitz/flyby --skill swift-charts-femitz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Building rich data visuals in SwiftUI can be time-consuming; Swift Charts provides patterns, guidance, and examples to accelerate charting work and avoid reinventing the wheel.

Core Features & Use Cases

Chart container with marks like BarMark, LineMark, AreaMark, SectorMark, and vectorized plots.
Customizable axes, scales, legends, and foreground styling, plus selection and annotations for interactive visuals.
Accessibility and theming guidance with reusable patterns and references to best practices.
Use Case: Quickly prototype dashboards, trend analyses, heat maps, and interactive charts in iOS apps.

Quick Start

Create a simple chart in SwiftUI using Swift Charts to visualize sample data.

Frequently Asked Questions about swift-charts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create interactive data visualizations in SwiftUI using Swift Charts?▼

You create SwiftUI data visualizations using Swift Charts by composing chart containers with marks like BarMark, LineMark, AreaMark, and SectorMark, then customizing axes, scales, and adding selections or annotations for interactivity.

What is the best way to customize axes and legends in Swift Charts?▼

The best way to customize axes and legends in Swift Charts involves applying reusable theming patterns and foreground styling within your chart container, ensuring visual consistency and dark mode compatibility across your SwiftUI views.

Can I build vectorized plots and heat maps in SwiftUI for iOS 26+?▼

Yes, you can build vectorized plots and heat maps in SwiftUI for iOS 26+ environments using Swift Charts patterns, which provide guidance on performance considerations for rendering large datasets efficiently.

Does Swift Charts support accessibility and dark mode for dashboard prototypes?▼

Swift Charts supports accessibility and dark mode by providing reusable theming patterns and references to best practices, ensuring your dashboard prototypes and trend analyses remain accessible across light and dark visual modes.

How do I add annotations and selections to a SwiftUI chart?▼

You add annotations and selections to a SwiftUI chart by applying the framework's built-in interactive patterns, allowing users to tap or hover over data marks to reveal detailed contextual information.

What are the performance considerations when rendering large datasets in Swift Charts?▼

Performance considerations for rendering large datasets in Swift Charts involve using vectorized plots and efficient mark composition to prevent UI lag, ensuring smooth scrolling and rendering within your SwiftUI application.