PluginBench
Skill
Pass
Audit score 90

swift-charts

dpearson2699/swift-ios-skills

Build data visualizations with Swift Charts: bar, line, area, point, pie, donut, 3D, and vectorized plots for iOS 16+.

What is swift-charts?

Swift Charts skill enables you to implement, review, and improve data visualizations targeting iOS 16 and later. Use it when building standard 2D charts (bar, line, area, point), pie/donut charts, iOS 26 3D charts, or advanced features like selection, scrolling, annotations, axes, scales, legends, and vectorized plots for large datasets.

  • Create bar, line, area, point, pie, donut, and 3D charts using Chart and Chart3D containers
  • Encode visual channels with foregroundStyle, symbol, and lineStyle for multi-series data
  • Customize axes with AxisMarks, grid lines, ticks, and value labels at different intervals
  • Configure scales with explicit domains, logarithmic scaling, and categorical ordering
  • Implement point and range selection on charts (iOS 17+) with state bindings
  • Build scrollable charts for large datasets (iOS 17+)

How to install swift-charts

npx skills add https://github.com/dpearson2699/swift-ios-skills --skill swift-charts
Prerequisites
  • iOS 16+ deployment target (iOS 17+ for selection and scrolling, iOS 18+ for vectorized plots, iOS 26+ for 3D charts)
  • Data structured as Identifiable types or with explicit id key paths
  • Swift Charts framework imported in your project
Claude Code
Cursor
Windsurf
Cline

How to use swift-charts

  1. 1.Define your data as an Identifiable struct or collection with id key path
  2. 2.Choose appropriate mark type(s) based on your data semantics (BarMark, LineMark, PointMark, AreaMark, SectorMark, RuleMark, RectangleMark, or SurfacePlot)
  3. 3.Wrap 2D marks in Chart container; use Chart3D only for spatial or surface data
  4. 4.Encode visual channels using .foregroundStyle(by:), .symbol(by:), or .lineStyle(by:) for multi-series data
  5. 5.Configure axes with .chartXAxis and .chartYAxis, using AxisMarks for custom intervals and labels
  6. 6.Set scale domains with .chartXScale(domain:) and .chartYScale(domain:) to control value ranges
  7. 7.Add selection with .chartXSelection(value:) or .chartXSelection(range:) if needed (iOS 17+)
  8. 8.Implement scrolling for large datasets using scrollable chart patterns (iOS 17+)

Use cases

Good for
  • Building a dashboard with multiple synchronized line charts showing temperature trends across cities
  • Creating a Gantt chart for project timeline visualization using interval BarMarks
  • Implementing an interactive stock price chart with range selection and threshold annotations
  • Displaying a heat map of hourly activity intensity across days using RectangleMark
  • Rendering a donut chart with legend showing product sales breakdown by category
Who it's for
  • iOS app developers building data visualization features
  • Product teams creating analytics or dashboard interfaces
  • Engineers reviewing or refactoring existing chart implementations
  • Developers working with large datasets requiring vectorized or 3D visualization

swift-charts FAQ

When should I use vectorized plots instead of regular marks?

Use vectorized plots (BarPlot, LinePlot, AreaPlot, PointPlot) when you have 1000+ data points in a 2D chart; they optimize rendering performance for large datasets.

What's the difference between Chart and Chart3D?

Use Chart for standard 2D visualizations. Use Chart3D only when you have real spatial data or surface plots that benefit from 3D representation; Chart3D is available on iOS 26+.

How do I create a multi-series chart?

Encode series data using .foregroundStyle(by:) to automatically stack or group marks by category, or use the series: parameter in LineMark for explicit multi-series control.

Can I use SectorMark for zero or negative values?

No; SectorMark requires strictly positive values for pie and donut charts. Filter, aggregate, or display zero/negative values outside the chart with explanation.

How do I add a threshold line to my chart?

Use RuleMark with a fixed value (e.g., RuleMark(y: .value("Target", 9000))), optionally add a dashed lineStyle and annotation for labeling.

Full instructions (SKILL.md)

Source of truth, from dpearson2699/swift-ios-skills.


name: swift-charts description: "Implement, review, or improve data visualizations using Swift Charts. Use when building bar, line, area, point, pie, donut, or iOS 26 3D charts; when adding chart selection, scrolling, annotations, axes, scales, legends, or foregroundStyle grouping; when plotting functions with BarPlot, LinePlot, AreaPlot, PointPlot, Chart3D, or SurfacePlot; or when creating heat maps, Gantt charts, grouped bars, sparklines, threshold lines, or spatial visualizations."

Swift Charts

Build data visualizations with Swift Charts targeting iOS 26+. Compose marks inside Chart or Chart3D, configure axes and scales with view modifiers, and use vectorized plots or 3D plots when the data calls for them.

See references/charts-patterns.md for extended patterns, 3D charts, accessibility, and theming guidance.

Contents

Workflow

1. Build a new chart

  1. Define data as an Identifiable struct or use id: key path.
  2. Choose mark type(s): BarMark, LineMark, PointMark, AreaMark, RuleMark, RectangleMark, SectorMark, or SurfacePlot.
  3. Wrap 2D marks in Chart; use Chart3D only for real spatial or surface data.
  4. Encode visual channels: .foregroundStyle(by:), .symbol(by:), .lineStyle(by:).
  5. Configure axes with .chartXAxis / .chartYAxis.
  6. Set scale domains with .chartXScale(domain:) / .chartYScale(domain:).
  7. Add selection, scrolling, or annotations as needed.
  8. For 1000+ 2D data points, use vectorized plots (BarPlot, LinePlot, etc.).
  9. Render representative empty, typical, dense, large-text, high-contrast, and VoiceOver states; exercise selection and scrolling when present.
  10. If an encoding, axis, selection, or accessibility check fails, restore the data fixture, fix one layer, and rerun the same matrix before adding decoration.

2. Review existing chart code

Identify the data semantics before judging mark choice. Then trace every value through mark, scale, axis, style, selection, and accessibility output; run the same validation matrix used for new charts.

Chart Container

Chart(sales) { item in
    BarMark(x: .value("Month", item.month), y: .value("Revenue", item.revenue))
}

Use the data-driven initializer for a single collection. Use the content closure for mixed marks or multiple series, and pass id: when elements are not Identifiable. Load references/charts-patterns.md for complete mixed-series, theming, accessibility, and 3D recipes.

Mark Types

BarMark (iOS 16+)

// Vertical bar
BarMark(x: .value("Month", item.month), y: .value("Sales", item.sales))

// Stacked by category (automatic when same x maps to multiple bars)
BarMark(x: .value("Month", item.month), y: .value("Sales", item.sales))
    .foregroundStyle(by: .value("Product", item.product))

// Horizontal bar
BarMark(x: .value("Sales", item.sales), y: .value("Month", item.month))

// Interval bar (Gantt chart)
BarMark(
    xStart: .value("Start", item.start),
    xEnd: .value("End", item.end),
    y: .value("Task", item.task)
)

LineMark (iOS 16+)

// Single line
LineMark(x: .value("Date", item.date), y: .value("Price", item.price))

// Multi-series via foregroundStyle encoding
LineMark(x: .value("Date", item.date), y: .value("Temp", item.temp))
    .foregroundStyle(by: .value("City", item.city))
    .interpolationMethod(.catmullRom)

// Multi-series with explicit series parameter
LineMark(
    x: .value("Date", item.date),
    y: .value("Price", item.price),
    series: .value("Ticker", item.ticker)
)

PointMark (iOS 16+)

PointMark(x: .value("Height", item.height), y: .value("Weight", item.weight))
    .foregroundStyle(by: .value("Species", item.species))
    .symbol(by: .value("Species", item.species))
    .symbolSize(100)

AreaMark (iOS 16+)

// Stacked area
AreaMark(x: .value("Date", item.date), y: .value("Sales", item.sales))
    .foregroundStyle(by: .value("Category", item.category))

// Range band
AreaMark(
    x: .value("Date", item.date),
    yStart: .value("Min", item.min),
    yEnd: .value("Max", item.max)
)
.opacity(0.3)

RuleMark (iOS 16+)

RuleMark(y: .value("Target", 9000))
    .foregroundStyle(.red)
    .lineStyle(StrokeStyle(dash: [5, 3]))
    .annotation(position: .top, alignment: .leading) {
        Text("Target").font(.caption).foregroundStyle(.red)
    }

RectangleMark (iOS 16+)

RectangleMark(x: .value("Hour", item.hour), y: .value("Day", item.day))
    .foregroundStyle(by: .value("Intensity", item.intensity))

SectorMark (iOS 17+)

Use SectorMark for strictly positive values; filter, aggregate, or explain zero/negative values outside the pie or donut.

// Pie chart
Chart(data, id: \.name) { item in
    SectorMark(angle: .value("Sales", item.sales))
        .foregroundStyle(by: .value("Category", item.name))
}

// Donut chart
Chart(data, id: \.name) { item in
    SectorMark(
        angle: .value("Sales", item.sales),
        innerRadius: .ratio(0.618),
        outerRadius: .inset(10),
        angularInset: 1
    )
    .cornerRadius(4)
    .foregroundStyle(by: .value("Category", item.name))
}

Axis Customization

// Hide axes
.chartXAxis(.hidden)
.chartYAxis(.hidden)

// Custom axis content
.chartXAxis {
    AxisMarks(values: .stride(by: .month)) { value in
        AxisGridLine()
        AxisTick()
        AxisValueLabel(format: .dateTime.month(.abbreviated))
    }
}

// Multiple AxisMarks compositions (different intervals for grid vs. labels)
.chartXAxis {
    AxisMarks(values: .stride(by: .day)) { _ in AxisGridLine() }
    AxisMarks(values: .stride(by: .week)) { _ in
        AxisTick()
        AxisValueLabel(format: .dateTime.week())
    }
}

// Axis labels (titles)
.chartXAxisLabel("Time", position: .bottom, alignment: .center)
.chartYAxisLabel("Revenue ($)", position: .leading, alignment: .center)

Scale Configuration

.chartYScale(domain: 0...100)                          // Explicit numeric domain
.chartYScale(domain: .automatic(includesZero: true))   // Include zero
.chartYScale(domain: 1...10000, type: .log)            // Logarithmic scale
.chartXScale(domain: ["Mon", "Tue", "Wed", "Thu"])     // Categorical ordering

Foreground Style and Encoding

BarMark(...).foregroundStyle(.blue)                                    // Static color
BarMark(...).foregroundStyle(by: .value("Category", item.category))   // Data encoding
AreaMark(...).foregroundStyle(                                         // Gradient
    .linearGradient(colors: [.blue, .cyan], startPoint: .bottom, endPoint: .top)
)

Selection (iOS 17+)

@State private var selectedDate: Date?
@State private var selectedRange: ClosedRange<Date>?
@State private var selectedAngle: Double?

// Point selection
Chart(data) { item in
    LineMark(x: .value("Date", item.date), y: .value("Value", item.value))
}
.chartXSelection(value: $selectedDate)

// Range selection
.chartXSelection(range: $selectedRange)

// Angular selection binds the plottable angle value; derive the category from ranges.
.chartAngleSelection(value: $selectedAngle)

Scrollable Charts (iOS 17+)

Chart(dailyData) { item in
    BarMark(x: .value("Date", item.date, unit: .day), y: .value("Steps", item.steps))
}
.chartScrollableAxes(.horizontal)
.chartXVisibleDomain(length: 3600 * 24 * 7) // 7 days visible
.chartScrollPosition(initialX: latestDate)
.chartScrollTargetBehavior(
    .valueAligned(matching: DateComponents(hour: 0), majorAlignment: .page)
)

Annotations

BarMark(x: .value("Month", item.month), y: .value("Sales", item.sales))
    .annotation(position: .top, alignment: .center, spacing: 4) {
        Text("\(item.sales, format: .number)").font(.caption2)
    }

// Overflow resolution
.annotation(
    position: .top,
    overflowResolution: .init(x: .fit(to: .chart), y: .padScale)
) { Text("Label") }

Legend

.chartLegend(.hidden)                                           // Hide
.chartLegend(position: .bottom, alignment: .center, spacing: 10) // Position
.chartLegend(position: .bottom) {                                // Custom
    HStack {
        ForEach(categories, id: \.self) { cat in
            Label(cat, systemImage: "circle.fill").font(.caption)
        }
    }
}

Vectorized Plots (iOS 18+)

Use for large datasets (1000+ points). Accept entire collections or functions.

// Data-driven
Chart {
    BarPlot(sales, x: .value("Month", \.month), y: .value("Revenue", \.revenue))
        .foregroundStyle(\.barColor)
}

// Function plotting: y = f(x)
Chart {
    LinePlot(x: "x", y: "y", domain: -5...5) { x in sin(x) }
}

// Parametric: (x, y) = f(t)
Chart {
    LinePlot(x: "x", y: "y", t: "t", domain: 0...(2 * .pi)) { t in
        (x: cos(t), y: sin(t))
    }
}

Apply KeyPath-based modifiers before simple-value modifiers:

BarPlot(data, x: .value("X", \.x), y: .value("Y", \.y))
    .foregroundStyle(\.color)    // KeyPath first
    .opacity(0.8)                // Value modifier second

3D Charts (iOS 26+)

Use Chart3D for spatial data or bivariate surfaces, not as a decorative replacement for ordinary 2D categorical or time-series charts. Chart3D accepts SurfacePlot plus 3D initializers of PointMark, RuleMark, and RectangleMark.

@State private var pose: Chart3DPose = .default

Chart3D {
    SurfacePlot(x: "x", y: "y", z: "z") { x, z in
        sin(2 * x) * cos(2 * z)
    }
    .foregroundStyle(.heightBased)
}
.chartXScale(domain: -2...2)
.chartYScale(domain: -1...1)
.chartZScale(domain: -2...2)
.chart3DPose($pose)

Common Mistakes

1. Missing series parameter for multi-line charts

// WRONG -- all points connect into one line
Chart {
    ForEach(allCities) { item in
        LineMark(x: .value("Date", item.date), y: .value("Temp", item.temp))
    }
}

// CORRECT -- separate lines per city
Chart {
    ForEach(allCities) { item in
        LineMark(x: .value("Date", item.date), y: .value("Temp", item.temp))
            .foregroundStyle(by: .value("City", item.city))
    }
}

2. Too many SectorMark slices

// WRONG -- 20 tiny sectors are unreadable
Chart(twentyCategories, id: \.name) { item in
    SectorMark(angle: .value("Value", item.value))
}

// CORRECT -- group into top 5 + "Other"
Chart(groupedData, id: \.name) { item in
    SectorMark(angle: .value("Value", item.value))
        .foregroundStyle(by: .value("Category", item.name))
}

3. Missing scale domain when zero-baseline matters

// WRONG -- axis starts at ~95; small changes look dramatic
Chart(data) {
    LineMark(x: .value("Day", $0.day), y: .value("Score", $0.score))
}

// CORRECT -- explicit domain for honest representation
Chart(data) {
    LineMark(x: .value("Day", $0.day), y: .value("Score", $0.score))
}
.chartYScale(domain: 0...100)

4. Static foregroundStyle overriding data encoding

// WRONG -- static color overrides by-value encoding
BarMark(x: .value("X", item.x), y: .value("Y", item.y))
    .foregroundStyle(by: .value("Category", item.category))
    .foregroundStyle(.blue)

// CORRECT -- use only the data encoding
BarMark(x: .value("X", item.x), y: .value("Y", item.y))
    .foregroundStyle(by: .value("Category", item.category))

5. Individual marks for 10,000+ data points

// WRONG -- creates 10,000 mark views; slow
Chart(largeDataset) { item in
    PointMark(x: .value("X", item.x), y: .value("Y", item.y))
}

// CORRECT -- vectorized plot (iOS 18+)
Chart {
    PointPlot(largeDataset, x: .value("X", \.x), y: .value("Y", \.y))
}

6. Fixed chart height breaking Dynamic Type

// WRONG -- clips axis labels at large text sizes
Chart(data) { ... }
    .frame(height: 200)

// CORRECT -- adaptive sizing
Chart(data) { ... }
    .frame(minHeight: 200, maxHeight: 400)

7. KeyPath modifier after value modifier on vectorized plots

// WRONG -- compiler error
BarPlot(data, x: .value("X", \.x), y: .value("Y", \.y))
    .opacity(0.8)
    .foregroundStyle(\.color)

// CORRECT -- KeyPath modifiers first
BarPlot(data, x: .value("X", \.x), y: .value("Y", \.y))
    .foregroundStyle(\.color)
    .opacity(0.8)

8. Missing accessibility labels

// WRONG -- VoiceOver users get no context
Chart(data) {
    BarMark(x: .value("Month", $0.month), y: .value("Sales", $0.sales))
}

// CORRECT -- add per-mark accessibility
Chart(data) { item in
    BarMark(x: .value("Month", item.month), y: .value("Sales", item.sales))
        .accessibilityLabel("\(item.month)")
        .accessibilityValue("\(item.sales) units sold")
}

9. Treating angle selection as category selection

chartAngleSelection(value:) binds the selected plottable angle value. For pie and donut charts, map that numeric value through cumulative sector ranges before comparing it to a category label.

Review Checklist

  • Data model uses Identifiable or chart uses id: key path
  • Mark type matches goal (bar=comparison, line=trend, sector=proportion)
  • Multi-series lines use series: parameter or .foregroundStyle(by:)
  • Axes configured with appropriate labels, ticks, and grid lines
  • Scale domain set explicitly when zero-baseline matters
  • Pie/donut uses positive values, 5-7 sectors, and "Other" grouping
  • Selection binding type matches axis data type (Date? for date axis)
  • Pie/donut angle selection maps numeric angle values back to categories
  • Scrollable charts set .chartXVisibleDomain(length:) for viewport
  • Vectorized plots used for datasets exceeding 1000 points
  • KeyPath modifiers applied before value modifiers on vectorized plots
  • Chart3D used only for real 3D data or surfaces, with z scale and pose reviewed
  • Accessibility labels added to marks for VoiceOver
  • Chart tested with Dynamic Type and Dark Mode
  • Legend visible and positioned, or intentionally hidden
  • Ensure chart data model types are Sendable; update chart data on @MainActor

References