Agent skill
swift-charts
Implement, review, or improve data visualizations using Swift Charts. Use when building bar, line, area, point, pie, or donut charts; when adding chart selection, scrolling, or annotations; when plotting functions with vectorized BarPlot, LinePlot, AreaPlot, or PointPlot; when customizing axes, scales, legends, or foregroundStyle grouping; or when creating specialized visualizations like heat maps, Gantt charts, stacked/grouped bars, sparklines, or threshold lines.
Install this agent skill to your Project
npx add-skill https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/swift-charts
SKILL.md
Swift Charts
Build data visualizations with Swift Charts targeting iOS 26+. Compose marks
inside a Chart container, configure axes and scales with view modifiers, and
use vectorized plots for large datasets.
See references/charts-patterns.md for extended patterns, accessibility, and theming guidance.
Contents
- Workflow
- Chart Container
- Mark Types
- Axis Customization
- Scale Configuration
- Foreground Style and Encoding
- Selection (iOS 17+)
- Scrollable Charts (iOS 17+)
- Annotations
- Legend
- Vectorized Plots (iOS 18+)
- Common Mistakes
- Review Checklist
- References
Workflow
1. Build a new chart
- Define data as an
Identifiablestruct or useid:key path. - Choose mark type(s):
BarMark,LineMark,PointMark,AreaMark,RuleMark,RectangleMark, orSectorMark. - Wrap marks in a
Chartcontainer. - Encode visual channels:
.foregroundStyle(by:),.symbol(by:),.lineStyle(by:). - Configure axes with
.chartXAxis/.chartYAxis. - Set scale domains with
.chartXScale(domain:)/.chartYScale(domain:). - Add selection, scrolling, or annotations as needed.
- For 1000+ data points, use vectorized plots (
BarPlot,LinePlot, etc.).
2. Review existing chart code
Run through the Review Checklist at the end of this file.
Chart Container
// Data-driven init (single-series)
Chart(sales) { item in
BarMark(x: .value("Month", item.month), y: .value("Revenue", item.revenue))
}
// Content closure init (multi-series, mixed marks)
Chart {
ForEach(seriesA) { item in
LineMark(x: .value("Date", item.date), y: .value("Value", item.value))
.foregroundStyle(.blue)
}
RuleMark(y: .value("Target", 500))
.foregroundStyle(.red)
}
// Custom ID key path
Chart(data, id: \.category) { item in
BarMark(x: .value("Category", item.category), y: .value("Count", item.count))
}
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+)
// 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: String?
// 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 (pie/donut)
.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(spacing: 16) {
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
Common Mistakes
1. Using ObservableObject instead of @Observable
// WRONG
class ChartModel: ObservableObject {
@Published var data: [Sale] = []
}
struct ChartView: View {
@StateObject private var model = ChartModel()
}
// CORRECT
@Observable class ChartModel {
var data: [Sale] = []
}
struct ChartView: View {
@State private var model = ChartModel()
}
2. 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))
}
}
3. 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))
}
4. 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)
5. 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))
6. 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))
}
7. 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)
8. 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)
9. 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")
}
Review Checklist
- Data model uses
Identifiableor chart usesid:key path - Model uses
@Observablewith@State, notObservableObject - 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 limited to 5-7 sectors; small values grouped into "Other"
- Selection binding type matches axis data type (
Date?for date axis) - Scrollable charts set
.chartXVisibleDomain(length:)for viewport - Vectorized plots used for datasets exceeding 1000 points
- KeyPath modifiers applied before value modifiers on vectorized plots
- 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
- Extended patterns: references/charts-patterns.md
- Apple docs: Swift Charts
- Apple docs: Creating a chart using Swift Charts
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