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Syncfusion Maui Cartesian Charts

Organization
syncfusion
syncfusion-maui-cartesian-charts

Implements Syncfusion® .NET MAUI Cartesian Chart (SfCartesianChart) for data visualization with 20+ chart types including line, area, column, bar, financial, statistical, and stacked charts. Use when implementing cartesian charts, line charts, area charts, or financial charts (candle, OHLC). Covers chart axes, legends, tooltips, trackball, zooming and panning, chart annotations, and trendlines.

Overview

Publishersyncfusion
Repositorymaui-ui-components-skills
Skill namesyncfusion-maui-cartesian-charts
Stars
61
Forks
1
Bundled files
20
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 20 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by syncfusion on GitHub. Read the source before you install it.

Installation

Install the Syncfusion Maui Cartesian Charts AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/syncfusion/maui-ui-components-skills/tree/master/skills/syncfusion-maui-cartesian-charts
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/syncfusion/maui-ui-components-skills.git /tmp/maui-ui-components-skills
mkdir -p .claude/skills
cp -r /tmp/maui-ui-components-skills/skills/syncfusion-maui-cartesian-charts .claude/skills/syncfusion-maui-cartesian-charts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Syncfusion Maui Cartesian Charts in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Syncfusion Maui Cartesian Charts on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Syncfusion Maui Cartesian Charts is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Implementing .NET MAUI Cartesian Charts

Guide users to implement the Syncfusion® .NET MAUI Cartesian Chart (SfCartesianChart), a comprehensive data visualization solution with over 20 chart types, interactive features, and extensive customization options. Use this skill to implement charts ranging from simple line graphs to complex financial and statistical visualizations.

When to Use This Skill

Use this skill when the user needs to:

  • Visualize Data: Display quantitative data with line, area, column, bar, or scatter charts
  • Financial Analysis: Create candle or OHLC charts for stock price visualization
  • Statistical Data: Plot box-and-whisker, histogram, or error bar charts
  • Comparative Analysis: Use stacked charts (area, column, line) for comparing multiple datasets
  • Range Visualization: Show high-low data with range area or range column charts
  • Interactive Dashboards: Implement zooming, panning, selection, and trackball features
  • Time-Series Data: Plot temporal data with datetime axes and auto-scrolling
  • Custom Visualizations: Add annotations, plotbands, trendlines, and custom styling

Component Overview

The SfCartesianChart control provides:

  • 20+ Chart Types: Line, Area, Column, Bar, Scatter, Bubble, Candle, OHLC, Histogram, Box-and-Whisker, Stacked variations, Range charts, Waterfall, and more
  • Flexible Axes: Category, Numerical, DateTime, Logarithmic with full customization
  • Interactive Features: Zooming, panning, selection, tooltips, trackball, crosshair
  • Rich Customization: Data labels, legends, annotations, plotbands, trendlines, appearance
  • Data Handling: Empty point modes, data binding, dynamic updates
  • Export & Localization: Image export, multi-language support

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • NuGet package installation (Syncfusion.Maui.Charts)
  • Basic SfCartesianChart initialization in XAML and C#
  • Creating data models and view models
  • Axis setup (XAxes, YAxes)
  • Adding your first series with data binding
  • Complete working example

Chart Types

Basic Chart Types

📄 Read: references/basic-chart-types.md

  • Line, Area, Column, Bar, Scatter, Bubble charts
  • When to use each chart type
  • Implementation examples
  • Common properties and styling
Financial Charts

📄 Read: references/financial-charts.md

  • Candle charts (candlestick visualization)
  • OHLC (Open-High-Low-Close) charts
  • Financial data structure and binding
  • Bullish/bearish styling
Statistical Charts

📄 Read: references/statistical-charts.md

  • Box and Whisker charts
  • Histogram charts
  • Error Bar charts
  • Statistical data requirements
Stacked Charts

📄 Read: references/stacked-charts.md

  • Stacked Area (normal and 100%)
  • Stacked Column (normal and 100%)
  • Stacked Line (normal and 100%)
  • Grouping series for stacking
  • Percentage vs absolute values
Range Charts

📄 Read: references/range-charts.md

  • Range Area charts
  • Range Column charts
  • Spline Range Area charts
  • High-Low data binding
Advanced Chart Types

📄 Read: references/advanced-chart-types.md

  • Fastline (optimized for large datasets)
  • Step Area and Step Line
  • Waterfall charts
  • Performance considerations

Axis Configuration

Axis Basics

📄 Read: references/axis-configuration.md

  • Axis types (Category, Numerical, DateTime, Logarithmic)
  • XAxes and YAxes collections
  • Axis labels and formatting
  • Axis titles
  • Multiple axes setup
  • Custom label customization
Axis Customization

📄 Read: references/axis-customization.md

  • Gridlines (major, minor) styling
  • Tick lines configuration
  • Axis padding
  • Range padding
  • Auto-scrolling delta
  • Axis positioning

Data Visualization & Interaction

Data Labels

📄 Read: references/data-labels.md

  • Enabling and positioning data labels
  • Label placement (Inner, Outer, Auto)
  • Label formatting and templates
  • Styling and appearance
  • Release mode display configuration
Tooltips and Interactive Features

📄 Read: references/tooltips-and-interaction.md

  • Tooltip configuration and customization
  • Trackball feature for multi-series comparison
  • Crosshair for precise value reading
  • Tooltip templates
  • Interactive display modes
Zooming and Panning

📄 Read: references/zooming-and-panning.md

  • Zoom modes (Pinch, Selection, MouseWheel)
  • Panning configuration
  • ZoomPanBehavior setup
  • Programmatic zoom control
  • Reset zoom functionality
Selection

📄 Read: references/selection.md

  • Selection types (Single, Multiple, Series)
  • DataPointSelectionBehavior
  • SeriesSelectionBehavior
  • Selection events
  • Custom selection styling

Customization & Styling

Legend and Appearance

📄 Read: references/legend-and-appearance.md

  • Legend configuration and positioning
  • Legend item templates
  • Chart appearance customization
  • Color palettes
  • Themes and liquid glass effect
Annotations and PlotBands

📄 Read: references/annotations-and-plotbands.md

  • Annotation types (Text, View, Shape)
  • Adding and positioning annotations
  • PlotBand configuration for highlighting regions
  • Use cases and examples
Custom Styling

📄 Read: references/customization-and-styling.md

  • Series appearance customization
  • Adding custom labels
  • Color and gradient fills
  • Border and corner radius
  • Template customization

Data Handling & Advanced Features

Trendlines

📄 Read: references/trendlines.md

  • Trendline types (Linear, Exponential, Logarithmic, Polynomial, Power, Moving Average)
  • Adding trendlines to series
  • Forecast and backcast
  • Trendline customization
Data Point Management

📄 Read: references/data-handling.md

  • Empty points handling
  • Empty point modes (Gap, Zero, Average, Drop)
  • Getting data points by region
  • Touch position detection
  • Data manipulation
Export and Localization

📄 Read: references/exporting-and-localization.md

  • Exporting charts as images
  • Export formats and options
  • Localization configuration
  • Culture-specific formatting
  • Resource files

Accessibility

📄 Read: references/accessibility.md

  • Chart elements and screen reader announcement formats
  • Enabling accessibility on Android, iOS, macOS, and Windows
  • Series compatibility for accessibility navigation
  • Keyboard navigation (Windows Narrator, macOS VoiceOver)
  • Gesture navigation (Android TalkBack, iOS VoiceOver)
  • Providing meaningful labels for informative announcements
  • Complete accessible chart example

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Syncfusion Maui Cartesian Charts AI skill do?

Implements Syncfusion® .NET MAUI Cartesian Chart (SfCartesianChart) for data visualization with 20+ chart types including line, area, column, bar, financial, statistical, and stacked charts. Use when implementing cartesian charts, line charts, area charts, or financial charts (candle, OHLC). Covers chart axes, legends, tooltips, trackball, zooming and panning, chart annotations, and trendlines.

Why use Syncfusion Maui Cartesian Charts on TypingMind?

Because you install it once and use it with any model. Syncfusion Maui Cartesian Charts is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Syncfusion Maui Cartesian Charts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/syncfusion/maui-ui-components-skills/tree/master/skills/syncfusion-maui-cartesian-charts. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Syncfusion Maui Cartesian Charts?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Syncfusion Maui Cartesian Charts?

As many as you like. As long as a model supports skills, you can use Syncfusion Maui Cartesian Charts with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Syncfusion Maui Cartesian Charts AI skill free?

It is published on GitHub by syncfusion. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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