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syncfusion-react-heatmapsyncfusion React heatmap 开发

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

总安装

667

周安装

27

GitHub Stars

1

下载量

210
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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-react-heatmap(syncfusion React heatmap 开发)
来源仓库:https://github.com/syncfusion/react-ui-components-skills
仓库路径:skills/syncfusion-react-heatmap
安装命令:
npx skills add https://github.com/syncfusion/react-ui-components-skills --skill syncfusion-react-heatmap
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/react-ui-components-skills --skill syncfusion-react-heatmap

简介

用于辅助 React 前端页面、组件、样式和交互逻辑的开发与维护。

  • 适合生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。
  • 使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。
  • 通过 GitHub 安装,支持 Codex、Claude、Cursor、Gemini CLI 等宿主环境。
  • 需确保项目已集成 Syncfusion React 组件库,否则可能无法正常运行相关功能。

SKILL.md

Implementing Syncfusion React HeatMap Chart

The HeatMap component visualizes two-dimensional data using color gradients or fixed colors, making it ideal for analyzing patterns, correlations, and distributions across matrix data. Perfect for displaying heat patterns, activity matrices, performance data, and temporal correlations.

When to Use This Skill

  • Visualizing 2D data patterns - Display matrix data with color-coded cells
  • Creating heatmaps - Build interactive heatmaps with custom color schemes
  • Analyzing correlations - Show relationships between row and column variables
  • Displaying time-series patterns - Visualize activity over time periods
  • Performance monitoring - Display metrics across multiple dimensions
  • Data exploration - Reveal patterns in large datasets at a glance
  • Configuring axes - Set up numerical, categorical, or datetime axes
  • Customizing appearance - Apply custom colors, legends, and styling
  • Handling user interaction - Implement selection, tooltips, and event handling
  • Accessibility - Ensure keyboard navigation and screen reader support

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • Installation and setup steps
  • Vite/React project configuration
  • CSS imports and theme selection
  • Basic component initialization
  • When: Starting a new HeatMap implementation or setting up dependencies

Data Binding & Setup

📄 Read: references/data-binding.md

  • JSON data format and structure
  • 2D array binding
  • Data transformation techniques
  • Loading and binding data dynamically
  • When: Preparing data for the heatmap or learning data formats

Axes Configuration

📄 Read: references/axes-configuration.md

  • Numerical, categorical, and datetime axis types
  • Axis properties and customization
  • Inverted and opposed axis positioning
  • Axis intervals and label formatting
  • When: Setting up row/column headers or configuring axis behavior

Legend, Appearance & Styling

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

  • Legend placement, format, and customization
  • Color palettes and gradient configuration
  • Sizing and dimension properties
  • Rendering modes (SVG vs Canvas switching)
  • Theme styling and CSS customization
  • When: Customizing visual appearance, colors, or legends

Interaction & Selection

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

  • Selection modes and cell highlighting
  • Mouse events and event handlers
  • Tooltip configuration and customization
  • Cell interaction patterns and best practices
  • When: Implementing user interaction or handling cell clicks/hovers

Advanced Features & Events

📄 Read: references/advanced-features.md

  • Bubble heatmap implementation
  • Complete event handling (select, click, hover, created)
  • Automatic rendering mode switching
  • Performance optimization for large datasets
  • Custom rendering and cell styling
  • When: Implementing advanced features or optimizing performance

API Reference

📄 Read: references/api-reference.md

  • Comprehensive component API: props, methods, events, and model schemas
  • Quick lookup for cellSettings, legendSettings, paletteSettings, xAxis, yAxis, titleSettings, tooltipSettings, and common methods like export, print, clearSelection
  • When: Adding or validating props, wiring events, or implementing advanced customizations

Accessibility & Troubleshooting

📄 Read: references/accessibility-and-troubleshooting.md

  • WCAG compliance and accessibility features
  • Keyboard navigation support
  • ARIA attributes and screen reader support
  • Common issues and solutions
  • Migration from EJ1 to EJ2
  • When: Ensuring accessibility or resolving issues

Quick Start

import * as React from 'react';
import { HeatMapComponent, Inject, Legend, Tooltip } from '@syncfusion/ej2-react-heatmap';
import '@syncfusion/ej2-base/styles/material.css';

export function App() {
  const data = [
    [73, 39, 26, 39, 94],
    [93, 58, 53, 38, 26],
    [54, 39, 26, 40, 42]
  ];

  return (
    <HeatMapComponent
      id='heatmap'
      dataSource={data}
      xAxis={{ labels: ['A', 'B', 'C', 'D', 'E'] }}
      yAxis={{ labels: ['X', 'Y', 'Z'] }}
      showTooltip={true}
      cellRender={(args) => {
        args.displayText = args.value + '%';
      }}
    >
      <Inject services={[Legend, Tooltip]} />
    </HeatMapComponent>
  );
}

export default App;

Common Patterns

Pattern 1: Basic Data Visualization

// Visualize simple 2D data with default styling
<HeatMapComponent
  dataSource={data}
  xAxis={{ labels: xLabels }}
  yAxis={{ labels: yLabels }}
>
  <Inject services={[Legend, Tooltip]} />
</HeatMapComponent>

Pattern 2: Custom Colors, Legend, and Tooltips

// Apply custom color palette with legend and styled tooltips
<HeatMapComponent
  dataSource={data}
  paletteSettings={{
    type: 'Gradient',
    palette: [
      { value: 0, color: '#3498db' },
      { value: 50, color: '#2ecc71' },
      { value: 100, color: '#e74c3c' }
    ]
  }}
  legendSettings={{ position: 'Right', width: '150px' }}
  showTooltip={true}
  tooltipSettings={{
    fill: '#F5F5F5',
    textStyle: { color: '#333333', size: '13px' },
    border: { width: 1, color: '#999999' }
  }}
>
  <Inject services={[Legend, Tooltip]} />
</HeatMapComponent>

Pattern 3: Interactive Cell Handling

// Handle cell selection and display selected data
<HeatMapComponent
  dataSource={data}
  cellSelected={(args) => {
    console.log(`Cell [${args.row}, ${args.column}] selected: ${args.value}`);
  }}
  cellRender={(args) => {
    args.displayText = args.value + ' units';
  }}
>
  <Inject services={[Legend, Tooltip]} />
</HeatMapComponent>

Key Props

PropTypePurposeExample
dataSourceArray2D data array or JSON[[1,2],[3,4]]
xAxisObjectColumn axis configuration{labels: ['A', 'B']}
yAxisObjectRow axis configuration{labels: ['X', 'Y']}
paletteSettingsObjectColor palette and gradient configuration{type: 'Gradient', palette: [{value: 0, color: '#blue'}]}
cellRenderFunctionCustom cell formattingFormat display text
cellSelectedFunctionSelection event handlerTrack user selection
legendSettingsObjectLegend placement/format{position: 'Right'}
showTooltipBooleanEnable/disable tooltipstrue or false
tooltipSettingsObjectTooltip styling (fill, textStyle, border){fill: '#F5F5F5', textStyle: {color: '#333'}}
renderingModeStringSVG or Canvas'Canvas' for large datasets

Common Use Cases

  1. Performance Dashboard - Display metrics across departments and time periods
  2. Correlation Matrix - Visualize relationships between variables
  3. Activity Heatmap - Show user engagement patterns by day/hour
  4. Gene Expression - Analyze biological data with color intensity
  5. Traffic Pattern - Visualize network/website traffic distribution
  6. Survey Results - Display response patterns across questions and demographics

适合场景

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能力概览

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.03%
按下载量换算74

Claude

29.6%
按下载量换算62

Cursor

17.58%
按下载量换算37

Gemini CLI

8.97%
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

需要联网

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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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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