Token导航 LogoToken导航

Agent Skill · 待分类

syncfusion-winui-cartesian-charts(Synfusion WinUI 笛卡尔图表)

syncfusion-winui-cartesian-charts 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

syncfusion-winui-cartesian-charts 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 5,605。

总安装 541周安装 23GitHub Stars 公开资料未说明下载 190核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:syncfusion-winui-cartesian-charts(Synfusion WinUI 笛卡尔图表)
来源仓库:https://github.com/syncfusion/winui-ui-components-skills
仓库路径:skills/syncfusion-winui-cartesian-charts
安装命令:
npx skills add https://github.com/syncfusion/winui-ui-components-skills --skill syncfusion-winui-cartesian-charts
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/syncfusion/winui-ui-components-skills --skill syncfusion-winui-cartesian-charts

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态或协作事项进行整理。通过 npx skills add 命令从指定仓库安装并使用。安装前需确认权限范围和维护状态,避免触发联网或文件读写操作。

syncfusion-winui-cartesian-charts 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/syncfusion-winui-cartesian-charts

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/syncfusion/winui-ui-components-skills --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

syncfusion-winui-cartesian-charts 怎么安装?

在终端执行 npx skills add https://github.com/syncfusion/winui-ui-components-skills --skill syncfusion…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

syncfusion-winui-cartesian-charts 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

syncfusion-winui-cartesian-charts 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

syncfusion-winui-cartesian-charts 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

syncfusion-winui-cartesian-charts 用的人多吗?

公开数据是累计安装 541 次,近一周安装 23 次,下载 190 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

syncfusion-winui-cartesian-charts 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
syncfusion-winui-cartesian-charts

Synfusion WinUI 笛卡尔图表 · 本页

541—只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Implementing Syncfusion WinUI Cartesian Charts

The Syncfusion WinUI Cartesian Chart (SfCartesianChart) provides a powerful way to visualize data with high interactivity, flexibility, and performance. It supports multiple series types, extensive customization options, and interactive features like zooming, panning, tooltips, and selection.

When to Use This Skill

Use this skill when the user needs to:

  • Create any cartesian chart in a WinUI application (column, line, area, bar, scatter, bubble, financial, stacked charts)
  • Configure chart axes (CategoryAxis, NumericalAxis, DateTimeAxis, LogarithmicAxis, multiple axes)
  • Implement high-performance charts with large datasets (fast series with millions of data points)
  • Add interactive features (zooming, panning, tooltips, trackball, crosshair, selection)
  • Customize chart appearance (legends, data labels, colors, themes, styling)
  • Display financial data (OHLC, candlestick charts)
  • Compare multiple data series in the same chart area
  • Handle touch and mouse interactions for data exploration

Component Overview

The SfCartesianChart is Syncfusion's primary charting control for WinUI applications using a two-dimensional coordinate system. Supports 15+ series types (basic, specialized, stacked, fast), four axis types (Numerical, Category, DateTime, Logarithmic), and handles millions of data points with optimized fast series. Includes zooming, panning, tooltips, trackball, crosshair, and full customization options.

Core Architecture

SfCartesianChart
├── XAxes Collection (1+ horizontal axes)
├── YAxes Collection (1+ vertical axes)
├── Series Collection (1+ data series)
│   ├── Basic: ColumnSeries, BarSeries, LineSeries, AreaSeries
│   ├── Specialized: ScatterSeries, BubbleSeries, CandleSeries, OHLCSeries
│   ├── Stacked: StackedColumnSeries, StackedAreaSeries, Stacked100Series
│   └── Fast: FastLineBitmapSeries, FastColumnBitmapSeries, FastScatterBitmapSeries
├── Legend (optional)
├── ZoomPanBehavior (optional)
└── Visual Elements (Header, ChartArea, PlotArea, PaletteBrushes)

Key Capabilities at a Glance

  • Data Binding: Direct binding to ObservableCollection, List, or any IEnumerable with automatic updates
  • Multiple Series: Display unlimited series in one chart with automatic color assignment and legend coordination
  • Real-Time Updates: Supports dynamic data with efficient rendering for live dashboards and monitoring
  • Touch & Mouse: Full gesture support for mobile and desktop scenarios (pinch-zoom, pan, hover tooltips)
  • Accessibility: Built with WinUI standards for keyboard navigation and screen reader support
  • Responsive: Adapts to container size changes with automatic axis label optimization

When to Choose SfCartesianChart vs. Other Chart Types

Use SfCartesianChart when: Data has two quantitative dimensions (X and Y), time-series analysis, comparisons across categories, trend analysis, financial data (OHLC), scientific plots, or any scenario requiring rectangular coordinate system.

Consider alternatives when:

  • Circular relationships → Use SfCircularChart (Pie, Doughnut, Radial Bar)
  • Hierarchical data → Use SfPyramidChart or SfFunnelChart
  • Directional data → Use SfPolarChart

Key Features

Series Types

  • Basic Series: Column, Bar, Line, Area
  • Specialized Series: Scatter, Bubble, Candle, OHLC
  • Stacked Series: Stacked Column/Bar/Line/Area, Stacked100
  • Fast Series: FastLine, FastLineBitmap, FastColumn, FastScatter, FastStepLine (optimized for millions of points)

Axes

  • Types: NumericalAxis, CategoryAxis, DateTimeAxis, LogarithmicAxis
  • Features: Multiple axes, custom intervals, range customization, inversed/opposed positioning
  • Customization: Labels, headers, grid lines, tick lines, padding, auto-scrolling

Interactive Features

  • Zooming and panning (touch/mouse)
  • Tooltips with custom templates
  • Trackball for multi-series tracking
  • Crosshair for precise reading
  • Segment and series selection

Customization

  • Legends with positioning and templates
  • Data labels with positioning and formatting
  • Chart titles and headers
  • ChartArea, PlotArea styling, Color palettes and themes

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • Installing Syncfusion.Chart.WinUI NuGet package
  • Namespace imports and control initialization
  • Creating ViewModel with data binding
  • Setting up XAxes and YAxes
  • Adding your first series
  • Complete working example with ColumnSeries

Axes Configuration

Axis Types

📄 Read: references/axis-types.md

  • NumericalAxis - For numeric data with interval and range customization
  • CategoryAxis - For categorical data with index-based plotting and label placement options
  • DateTimeAxis - For time-series data with date/time formatting and interval types
  • LogarithmicAxis - For logarithmic scale with customizable base
  • When to use each axis type
  • Interval configuration and range customization
Axis Customization

📄 Read: references/axis-customization.md

  • Axis labels (rotation, formatting, styling)
  • Axis headers and titles
  • Grid lines (major/minor, visibility, styling)
  • Tick lines (customization and styling) and Axis line styling
  • Padding and range padding
  • IsInversed and OpposedPosition properties
  • Auto-scrolling with AutoScrollingDelta
Multiple Axes

📄 Read: references/multiple-axes.md

  • Using XAxes and YAxes collections
  • Assigning series to specific axes (XAxisName, YAxisName)
  • Arranging multiple series with different scales
  • Stacked vs side-by-side axis arrangements
  • Axis events (ActualRangeChanged, LabelCreated)

Series Types

Basic Series

📄 Read: references/basic-series.md

  • ColumnSeries - Vertical bars for comparing categories
  • BarSeries - Horizontal bars for ranking or comparison
  • LineSeries - Connected points showing trends over time
  • AreaSeries - Filled regions showing magnitude and trends
  • ItemsSource, XBindingPath, YBindingPath configuration
  • Common properties and styling
Specialized Series

📄 Read: references/specialized-series.md

  • ScatterSeries - XY plots for correlation analysis
  • BubbleSeries - Three-dimensional data with size representation
  • CandleSeries - Financial OHLC data with filled bodies
  • OHLCSeries - Open-High-Low-Close financial data
  • Financial data binding patterns
  • Bubble size configuration
Stacked Series

📄 Read: references/stacked-series.md

  • Stacked series - Column, Bar, Line, Area (show cumulative totals)
  • Stacked100 series - Percentage-based comparison (100% stacked)
  • Grouping multiple stacked series
  • Data requirements and coordination
  • Use cases for part-to-whole analysis
Fast Series (High Performance)

📄 Read: references/fast-series.md

  • FastLineSeries - Polyline rendering for large line datasets
  • FastLineBitmapSeries - WriteableBitmap rendering (millions of points)
  • FastColumnBitmapSeries - High-performance column rendering
  • FastScatterBitmapSeries - Large scatter plots
  • FastStepLineBitmapSeries - Step line charts with performance optimization
  • EnableAntiAliasing for bitmap-based series
  • When to use fast series vs standard series
  • Performance best practices

Interactive Features

Tooltip, Trackball, and Crosshair

📄 Read: references/tooltip-trackball-crosshair.md

  • Tooltips - EnableTooltip, custom templates, styling
  • Trackball - Multi-series tracking with vertical line indicator
  • Crosshair - Precise reading with horizontal and vertical lines
  • Touch and mouse interaction patterns
  • Custom content and positioning
Selection

📄 Read: references/selection.md

  • EnableSegmentSelection and EnableSeriesSelection
  • Selection modes (Single, Multiple)
  • SelectedIndex property
  • SelectionBehavior configuration
  • Visual feedback customization
  • Selection events
Zooming and Panning

📄 Read: references/zooming-panning.md

  • EnableZooming property
  • ZoomMode (X, Y, XY)
  • EnablePanning for data exploration
  • Touch gestures (pinch-to-zoom)
  • Mouse wheel zooming
  • Programmatic zoom (ZoomPosition, ZoomFactor)
  • Reset zoom functionality and Zoom toolbar

Customization

Data Labels

📄 Read: references/data-labels.md

  • ShowDataLabels property
  • DataLabelSettings configuration
  • Label positioning (Inner, Outer, Auto)
  • Label templates and formatting
  • Style customization (fonts, colors)
  • Rotation and alignment
Legend

📄 Read: references/legend.md

  • Enabling ChartLegend
  • Positioning and placement options
  • Legend template customization
  • Icon types and styles
  • Item clicking and toggling series visibility
  • Label customization
Multiple Series Visualization

📄 Read: references/multiple-series.md

  • Adding multiple series to Series collection
  • Comparing different datasets
  • Series visibility toggling
  • Color palettes for visual distinction
  • Legend coordination
  • Performance considerations
  • Mixed series types in one chart
Appearance Customization

📄 Read: references/appearance-customization.md

  • Chart Header and Title configuration
  • ChartArea background and borders
  • PaletteBrushes for series colors
  • Series-level styling (Fill, Stroke, StrokeThickness)
  • PlotArea customization
  • Grid line styling and Theme integration
  • Responsive design patterns

Quick Start Example

Here's a minimal example to create a basic cartesian chart with column series:

<Window
    xmlns:chart="using:Syncfusion.UI.Xaml.Charts">

    <chart:SfCartesianChart Header="Sales Comparison">

        <!-- Define X-Axis (Category) -->
        <chart:SfCartesianChart.XAxes>
            <chart:CategoryAxis Header="Products"/>
        </chart:SfCartesianChart.XAxes>

        <!-- Define Y-Axis (Numerical) -->
        <chart:SfCartesianChart.YAxes>
            <chart:NumericalAxis Header="Sales ($)"/>
        </chart:SfCartesianChart.YAxes>

        <!-- Add Column Series -->
        <chart:ColumnSeries ItemsSource="{Binding SalesData}"
                            XBindingPath="Product" YBindingPath="Amount"
                            Label="Q1 Sales" ShowDataLabels="True"/>
    </chart:SfCartesianChart>
</Window>
// Data Model
public class SalesData
{
    public string Product { get; set; }
    public double Amount { get; set; }
}

// ViewModel with sample data
public class ViewModel
{
    public List<SalesData> SalesData { get; set; } = new()
    {
        new() { Product = "Product A", Amount = 25000 },
        new() { Product = "Product B", Amount = 38000 },
        new() { Product = "Product C", Amount = 17000 }
    };
}

Common Patterns

Pattern 1: Multi-Series Comparison

Compare multiple datasets in the same chart:

<chart:SfCartesianChart Header="Quarterly Sales Comparison">

    <!-- Define X and Y Axis   -->

    <!-- Multiple series -->
    <chart:ColumnSeries Label="Q1"
                       ItemsSource="{Binding Q1Data}"
                       XBindingPath="Month"
                       YBindingPath="Sales"/>

    <chart:ColumnSeries Label="Q2"
                       ItemsSource="{Binding Q2Data}"
                       XBindingPath="Month"
                       YBindingPath="Sales"/>

</chart:SfCartesianChart>

Pattern 2: Time-Series Line Chart with Zooming

Display time-based data with interactive zooming:

<chart:SfCartesianChart>

    <chart:SfCartesianChart.XAxes>
        <chart:DateTimeAxis>
            <chart:DateTimeAxis.LabelStyle>
                <chart:LabelStyle LabelFormat="MMM-dd"/>
            </chart:DateTimeAxis.LabelStyle>
        </chart:DateTimeAxis>
    </chart:SfCartesianChart.XAxes>

    <chart:SfCartesianChart.YAxes>
        <chart:NumericalAxis/>
    </chart:SfCartesianChart.YAxes>

    <chart:LineSeries ItemsSource="{Binding TimeSeriesData}"
                     XBindingPath="Date"
                     YBindingPath="Value"
                     EnableTooltip="True"/>

    <!-- Enable zooming and panning -->
    <chart:SfCartesianChart.ZoomPanBehavior>
        <chart:ChartZoomPanBehavior EnableZooming="True"
                                   EnablePanning="True"
                                   ZoomMode="XY"/>
    </chart:SfCartesianChart.ZoomPanBehavior>

</chart:SfCartesianChart>

Pattern 3: Stacked Chart for Part-to-Whole Analysis

Show contribution of parts to a total:

<chart:SfCartesianChart Header="Market Share by Region">

    <!-- Define X and Y Axis   -->

    <!-- Stacked Column Series -->
    <chart:StackedColumnSeries Label="Region A"
                              ItemsSource="{Binding Data}"
                              XBindingPath="Year"
                              YBindingPath="RegionA"/>

    <chart:StackedColumnSeries Label="Region B"
                              ItemsSource="{Binding Data}"
                              XBindingPath="Year"
                              YBindingPath="RegionB"/>

    <chart:StackedColumnSeries Label="Region C"
                              ItemsSource="{Binding Data}"
                              XBindingPath="Year"
                              YBindingPath="RegionC"/>

</chart:SfCartesianChart>

Pattern 4: High-Performance Chart for Large Datasets

Use fast series for millions of data points:

SfCartesianChart chart = new SfCartesianChart();

//Define X and Y Axis   -->

// Use FastLineBitmapSeries for performance
FastLineBitmapSeries series = new FastLineBitmapSeries
{
    ItemsSource = GenerateLargeDataset(1000000), // 1 million points
    XBindingPath = "Time",
    YBindingPath = "Value",
    EnableAntiAliasing = true // Smooth rendering
};

chart.Series.Add(series);

Pattern 5: Financial Chart with Multiple Axes

Display OHLC data with volume on separate axis:

<chart:SfCartesianChart>

    <chart:SfCartesianChart.XAxes>
        <chart:DateTimeAxis/>
    </chart:SfCartesianChart.XAxes>

    <chart:SfCartesianChart.YAxes>
        <chart:NumericalAxis Header="Price"/>
        <chart:NumericalAxis Name="VolumeAxis"
                           Header="Volume"
                           OpposedPosition="True"/>
    </chart:SfCartesianChart.YAxes>

    <!-- OHLC Series on primary axis -->
    <chart:CandleSeries ItemsSource="{Binding StockData}"
                       XBindingPath="Date"
                       Open="Open"
                       High="High"
                       Low="Low"
                       Close="Close"/>

    <!-- Volume on secondary axis -->
    <chart:ColumnSeries ItemsSource="{Binding StockData}"
                       XBindingPath="Date"
                       YBindingPath="Volume"
                       YAxisName="VolumeAxis"/>

</chart:SfCartesianChart>

Key Properties Overview

SfCartesianChart

  • Header - Chart title
  • XAxes - Collection of horizontal axes
  • YAxes - Collection of vertical axes
  • Series - Collection of chart series
  • Legend - Legend configuration
  • ZoomPanBehavior - Zooming and panning behavior
  • PaletteBrushes - Color palette for series

ChartSeries (Base)

  • ItemsSource - Data source
  • XBindingPath - Property path for X values
  • YBindingPath - Property path for Y values
  • Label - Series label for legend
  • ShowDataLabels - Enable data labels
  • EnableTooltip - Enable tooltips
  • EnableAnimation - Enable series animation
  • XAxisName - Name of X-axis to use
  • YAxisName - Name of Y-axis to use

Axis (Base)

  • Header - Axis title
  • Interval - Interval between labels
  • Minimum - Minimum axis value
  • Maximum - Maximum axis value
  • LabelRotation - Label rotation angle
  • LabelStyle - Label formatting and styling
  • ShowMajorGridLines - Show/hide grid lines
  • IsInversed - Invert axis direction
  • OpposedPosition - Position axis on opposite side

Performance Considerations

When to Use Fast Series

  • Dataset size > 10,000 points: Consider FastLineSeries or FastLineBitmapSeries
  • Dataset size > 100,000 points: Use FastLineBitmapSeries, FastColumnBitmapSeries, or FastScatterBitmapSeries
  • Real-time updates: Fast series provide better performance for streaming data
  • Trade-offs: Fast series have limited interactivity (no segment selection, limited tooltip customization)

Optimization Tips

  • Use CategoryAxis for categorical data instead of formatting NumericalAxis
  • Enable EnableAntiAliasing for FastBitmap series to improve visual quality
  • Limit ShowDataLabels usage for large datasets
  • Use data virtualization in ViewModel for very large datasets
  • Consider sampling or aggregation for datasets over 1 million points
  • Disable animations for better initial render performance

Common Use Cases

  1. Business Dashboards - Multi-series column/line charts with legends and tooltips
  2. Financial Analysis - Candlestick/OHLC charts with volume overlay on multiple axes
  3. Time-Series Monitoring - Real-time line charts with zooming/panning
  4. Comparative Analysis - Stacked charts for part-to-whole relationships

Troubleshooting Tips

  • Series not visible: Verify XAxes and YAxes are defined before adding series
  • Data not binding: Check XBindingPath and YBindingPath match data model property names
  • Performance issues: Switch to fast series for datasets over 10,000 points
  • Axis labels overlapping: Use LabelRotation or increase chart width
  • Multiple axes not working: Ensure XAxisName/YAxisName matches the Name property of the axis
  • Zooming not working: Add ChartZoomPanBehavior to chart and set EnableZooming=True

Related Skills

When working with Syncfusion WinUI components, you may also need:

  • Circular Charts - For pie, doughnut, and radial charts
  • Polar Charts - For polar and radar visualizations
  • 3D Charts - For three-dimensional data representation
  • Funnel/Pyramid Charts - For hierarchical data visualization

平台分布

Claude

34.78%
按下载量换算66

Codex

34.39%
按下载量换算65

Cursor

18.52%
按下载量换算35

Gemini CLI

10.16%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills