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/g2-legend-expert

Expert skill for G2 legend development - provides comprehensive knowledge about legend rendering implementation, component architecture, layout algorithms, and interaction handling. Use when implementing, customizing, or debugging legend functionality in G2 visualizations.

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vibe-skills
2.7k200 skills8 agents3 commands
Install
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill g2-legend-expert --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/g2-legend-expert

Context preview

The summary Claude sees to decide when to auto-load this skill.

Expert skill for G2 legend development - provides comprehensive knowledge about legend rendering implementation, component architecture, layout algorithms, and interaction handling. Use when implementing, customizing, or debugging legend functionality in G2 visualizations.

SKILL.md

g2-legend-expert.SKILL.md
name: G2 Legend Expert
description: Expert skill for G2 legend development - provides comprehensive knowledge about legend rendering implementation, component architecture, layout algorithms, and interaction handling. Use when implementing, customizing, or debugging legend functionality in G2 visualizations.

G2 Legend Expert Skill

Overview

This skill provides comprehensive knowledge about legend rendering in G2, covering the complete legend rendering flow from component creation to layout calculation and interaction handling.

Legend Rendering Flow in G2

The legend rendering flow in G2 follows a multi-stage process that transforms legend configuration into visual components. This flow involves several key stages:

1. Legend Component Inference

Legend components are inferred from the chart's scales and configuration during the initial setup phase. The inference process is handled by the `inferComponent` function in `src/runtime/component.ts`:

  • **Scale Analysis**: The system analyzes all scales in the chart, looking for channels like `shape`, `size`, `color`, and `opacity`
  • **Legend Type Detection**: Based on the scale types, the system determines whether to create `legendCategory` (for discrete scales) or `legendContinuous` (for continuous scales)
  • **Position Inference**: Default positions and orientations are inferred based on the chart type and coordinate system

2. Legend Component Creation

Two main legend component types are implemented:

LegendCategory

Located in `src/component/legendCategory.ts`, this component handles categorical legends:

  • **Data Processing**: Processes domain values from scales to create legend items
  • **Marker Inference**: Automatically infers appropriate markers based on the chart's shapes and scales
  • **Layout Wrapper**: Uses `LegendCategoryLayout` to handle layout positioning
  • **Rendering Options**: Supports both standard GUI rendering and custom HTML rendering via the `render` option

LegendContinuous

Located in `src/component/legendContinuous.ts`, this handles continuous legends:

  • **Scale Type Handling**: Supports various continuous scale types including linear, log, time, quantize, quantile, and threshold
  • **Configuration Inference**: Generates appropriate configuration based on scale properties
  • **Ribbon Generation**: Creates color ribbons for continuous scales
  • **Label Formatting**: Handles proper formatting of continuous scale labels

3. Layout and Sizing Calculation

The layout process is managed in `src/runtime/layout.ts` and involves several critical steps:

Component Size Computation

The `computeComponentSize` function handles sizing based on component type:

  • **Auto vs Manual Padding**: When padding is set to 'auto', the system dynamically calculates component size based on content. When manually set, it uses default sizes.
  • **Size Calculation**: Different calculation strategies for different component types (axis, legend, title, etc.)
  • **Cross-size Considerations**: Takes into account cross-size dimensions for proper layout

Padding Calculation Logic

The core layout logic is in the `computePadding` function:

const autoSizeOf = (d) => {
  if (d.size) return;
  if (value !== 'auto') sizeOf(d);
  else {
    // Compute component size dynamically
    computeComponentSize(
      d,
      crossSize,
      crossPadding,
      position,
      theme,
      library,
    );
    defaultSizeOf(d);
  }
};
  • **Auto Padding ('auto')**: Calls `computeComponentSize` to measure actual content dimensions
  • **Manual Padding**: Uses `defaultSize` directly, bypassing content measurement

4. Component Rendering

The `renderComponent` function in `src/runtime/component.ts` handles the actual rendering:

  • **Component Instantiation**: Creates the appropriate component based on type
  • **Context Injection**: Provides scale instances, theme, and other context information
  • **Display Object Creation**: Returns a DisplayObject that can be added to the chart

5. Legend Positioning and BBox Assignment

After size calculation, the `placeComponents` function assigns bounding boxes:

  • **Position-based Grouping**: Components are grouped by position (top, bottom, left, right, center)
  • **Area Calculation**: Each position gets a specific area in the chart layout
  • **Dimension Assignment**: Components receive their final x, y, width, and height values

Legend Types and Configuration

Categorical Legends

Categorical legends (LegendCategory) are used for discrete scales and support:

  • **Item Markers**: Automatic marker generation based on chart types
  • **Flexible Layouts**: Supports both flex and grid layouts
  • **Custom Rendering**: HTML-based custom rendering via the `render` option
  • **Interaction Features**: Support for filtering and focus modes

Continuous Legends

Continuous legends (LegendContinuous) handle continuous scales:

  • **Color Ranges**: Support for various color interpolation methods
  • **Scale Types**: Handles linear, log, time, and quantile scales
  • **Threshold Handling**: Special support for threshold scales with custom boundaries
  • **Size Control**: Configurable ribbon sizes and label spacing

Interaction Handling

Legend Filtering

The legend filtering interaction is implemented in `src/interaction/legendFilter.ts`:

  • **Event Delegation**: Handles click, pointerenter, and pointerout events
  • **State Management**: Maintains selection states and visual feedback
  • **Filter Propagation**: Updates chart data based on legend selections
  • **Cross-chart Coordination**: Supports filtering across multiple chart views

Visual States

Legends support multiple visual states:

  • **Selected/Unselected**: Visual distinction between selected and unselected items
  • **Hover States**: Pointer interaction feedback
  • **Focus Mode**: Special highlighting for focused items

Customization and Theming

Theme Integration

Legend components integrate with G2's themin

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