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Syncfusion Maui Treemap

Organization
syncfusion
syncfusion-maui-treemap

Implements Syncfusion® .NET MAUI TreeMap (SfTreeMap) for visualizing hierarchical data with rectangles sized and colored by values. Use when implementing hierarchical data visualization, heat maps, squarified layouts, multi-level data grouping, or brush settings for hierarchical displays. This skill covers installation, data binding, layout types, hierarchical levels with GroupPath, legend configuration, tooltips, and TreeMap customization.

Overview

Publishersyncfusion
Repositorymaui-ui-components-skills
Skill namesyncfusion-maui-treemap
Stars
61
Forks
1
Bundled files
9
Links
  • 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.

  • 9 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 Treemap 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-treemap
  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-treemap .claude/skills/syncfusion-maui-treemap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Syncfusion Maui Treemap 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 Treemap 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 Treemap 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 TreeMap

The Syncfusion® .NET MAUI TreeMap (SfTreeMap) is a powerful data visualization control that represents hierarchical data using nested rectangles. Each rectangle's size and color are determined by underlying data values, making it ideal for visualizing large datasets with hierarchical structure, such as organizational charts, file systems, population data, sales distributions, and more.

When to Use This Skill

Use this skill when you need to:

  • Visualize hierarchical data with nested rectangles where size represents data magnitude
  • Display multi-level categorized data (e.g., sales by region → country → product)
  • Create heat maps showing data distribution across categories with color-coded values
  • Implement squarified or slice-and-dice layouts for optimal space utilization
  • Show data with legends and tooltips for interactive exploration
  • Enable selection and interaction with hierarchical data items
  • Apply various color schemes (uniform, range-based, desaturation, or palette) to represent data values
  • Customize appearance of leaf items, group headers, borders, labels, and more

Common scenarios include population visualization, sales analytics, file storage analysis, organizational hierarchies, budget breakdowns, and any domain requiring proportional area representation of hierarchical data.

Component Overview

Key Features:

  • Data Binding: Bind to hierarchical collections with automatic visualization
  • Layout Types: Squarified (default), SliceAndDiceAuto, SliceAndDiceHorizontal, SliceAndDiceVertical
  • Hierarchical Levels: Multi-level support using GroupPath for nested data structures
  • Brush Settings: Four types - Uniform, Range, Desaturation, and Palette for flexible coloring
  • Legend: Customizable legend with icon types, placement, and text styling
  • Tooltip: Interactive tooltips displaying data details on hover/tap
  • Selection: Single or multiple selection modes with customizable highlighting
  • Accessibility: Built-in keyboard navigation, screen reader support, and WCAG compliance
  • Customization: Extensive styling options for leaf items, headers, borders, labels, and spacing

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • NuGet package installation (Syncfusion.Maui.TreeMap)
  • Handler registration (ConfigureSyncfusionCore in MauiProgram.cs)
  • Basic TreeMap implementation in XAML and C#
  • Data model and view model setup
  • DataSource binding and PrimaryValuePath configuration
  • Adding labels with LabelPath
  • Complete minimal working example

When to read: Start here for initial setup and first TreeMap implementation.

Layout Configuration

📄 Read: references/layouts.md

  • Squarified layout (optimal aspect ratio, default)
  • SliceAndDiceAuto layout (adaptive direction)
  • SliceAndDiceHorizontal layout (horizontal slicing)
  • SliceAndDiceVertical layout (vertical slicing)
  • LayoutType property usage
  • Choosing the right layout for your data
  • Visual comparison of layout types

When to read: When you need to change the TreeMap layout algorithm or understand which layout works best for your data structure.

Hierarchical Levels

📄 Read: references/hierarchical-levels.md

  • Understanding levels in TreeMap
  • GroupPath property for multi-level categorization
  • Adding multiple levels (n-level support)
  • Level appearance customization (Spacing, HeaderHeight, Background)
  • Stroke and StrokeWidth for level borders
  • TextStyle for header text
  • Group item brush settings (PaletteBrushSettings)

When to read: When implementing multi-level hierarchical data (e.g., Continent → Country → City) or customizing group header appearance.

Color and Brush Settings

📄 Read: references/brush-settings.md

  • UniformBrushSettings (single color for all items)
  • RangeBrushSettings (color by value ranges with From/To)
  • DesaturationBrushSettings (gradient by saturation levels)
  • PaletteBrushSettings (multiple colors from a palette)
  • RangeColorValuePath configuration
  • LegendLabel for range definitions
  • When to use each brush type

When to read: When you need to apply color schemes to visualize data values, ranges, or categories.

Leaf Item Customization

📄 Read: references/leaf-item-customization.md

  • LabelPath for displaying text on leaf items
  • Spacing between leaf items
  • Stroke and StrokeWidth for leaf borders
  • TextStyle configuration (color, font, size, attributes)
  • Label overflow modes (wrap, trim)
  • Label template customization
  • ShowLabels property

When to read: When customizing the appearance and labeling of individual data items (leaf nodes).

Legend Configuration

📄 Read: references/legend.md

  • Enabling legend with ShowLegend property
  • Legend placement (Top, Bottom, Left, Right)
  • LegendSettings configuration
  • Icon types (Circle, Rectangle, Diamond, Triangle, etc.)
  • Icon size customization
  • Text style for legend items
  • Legend item template
  • Integration with RangeBrushSettings

When to read: When adding a legend to explain color coding or value ranges in the TreeMap.

Tooltip Implementation

📄 Read: references/tooltip.md

  • Enabling tooltip with ShowToolTip property
  • Default tooltip behavior
  • Tooltip template customization
  • TooltipTemplate property usage
  • Data context in tooltips
  • Styling tooltip appearance
  • Tooltips for leaf items vs group items

When to read: When adding interactive tooltips to display additional data on hover or tap.

Selection and Interaction

📄 Read: references/selection-interaction.md

  • SelectionMode property (None, Single, Multiple)
  • Single vs multiple selection behavior
  • SelectedItems collection
  • SelectionChanged event handling
  • Highlight settings (HighlightOnSelection)
  • Selection stroke and fill customization
  • Programmatic selection

When to read: When implementing user interaction features like selecting items, highlighting, or responding to selection events.

Accessibility and Events

📄 Read: references/accessibility-events.md

  • Accessibility support overview
  • Keyboard navigation support
  • WCAG compliance features
  • ItemSelected and ItemDeselected events
  • ItemTapped event
  • Drilldown functionality
  • Right-to-left (RTL) support
  • Semantic properties for accessibility

When to read: When implementing accessible TreeMaps, handling events, or supporting RTL languages.

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 Treemap AI skill do?

Implements Syncfusion® .NET MAUI TreeMap (SfTreeMap) for visualizing hierarchical data with rectangles sized and colored by values. Use when implementing hierarchical data visualization, heat maps, squarified layouts, multi-level data grouping, or brush settings for hierarchical displays. This skill covers installation, data binding, layout types, hierarchical levels with GroupPath, legend configuration, tooltips, and TreeMap customization.

Why use Syncfusion Maui Treemap on TypingMind?

Because you install it once and use it with any model. Syncfusion Maui Treemap 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 Treemap 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-treemap. 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 Treemap?

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 Treemap?

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

Is the Syncfusion Maui Treemap 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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