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observable-plot

Guide for using Observable Plot, a JavaScript library for exploratory data visualization built on D3.

Skill by maragudk

IndexedMIT★ 30
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Guide for using Observable Plot, a JavaScript library for exploratory data visualization built on D3. Use this skill when creating charts, exploring data, or building visualizations with marks, scales, and transforms.

Use cases: data

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/observable-plot

What's inside

Skill name
observable-plot
Description
Guide for using Observable Plot, a JavaScript library for exploratory data visualization built on D3. Use this skill when creating charts, exploring data, or building visualizations with marks, scales, and transforms.
License
MIT
Instructions
233 lines in SKILL.md · view on GitHub

Files (49)

  • SKILL.md
  • curves.md · features/
  • facets.md · features/
  • interactions.md · features/
  • intervals.md · features/
  • legends.md · features/
  • markers.md · features/
  • projections.md · features/
  • scales.md · features/
  • shorthand.md · features/
  • area.md · marks/
  • arrow.md · marks/
  • auto.md · marks/
  • axis.md · marks/
  • bar.md · marks/
  • bollinger.md · marks/
  • box.md · marks/
  • cell.md · marks/
  • contour.md · marks/
  • crosshair.md · marks/
  • delaunay.md · marks/
  • density.md · marks/
  • difference.md · marks/
  • dot.md · marks/
  • frame.md · marks/
  • geo.md · marks/
  • grid.md · marks/
  • hexgrid.md · marks/
  • image.md · marks/
  • line.md · marks/
  • linear-regression.md · marks/
  • link.md · marks/
  • raster.md · marks/
  • rect.md · marks/
  • rule.md · marks/
  • text.md · marks/
  • tick.md · marks/
  • tip.md · marks/
  • tree.md · marks/
  • vector.md · marks/
  • waffle.md · marks/
  • bin.md · transforms/
  • dodge.md · transforms/
  • group.md · transforms/
  • hexbin.md · transforms/
  • normalize.md · transforms/
  • select.md · transforms/
  • stack.md · transforms/
  • window.md · transforms/

SKILL.md (first lines)

# Observable Plot

Observable Plot is a JavaScript library for exploratory data visualization. It's built on D3 and provides a concise, declarative API for creating charts.

## Installation

```bash
npm install @observablehq/plot
```

Or via CDN:
```html
<script type="module">
import * as Plot from "https://cdn.jsdelivr.net/npm/@observablehq/plot@0.6/+esm";
</script>
```

## Core Concepts

### Plot.plot(options)

The main function that renders a visualization. Returns an SVG or HTML figure element.

```javascript
Plot.plot({
  marks: [
    Plot.dot(data, {x: "weight", y: "height"})
  ]
})
```

### Key Options

| Option | Description | Default |
|--------|-------------|---------|
| `width` | Outer width in pixels | 640 |
| `height` | Outer height in pixels | auto |
| `margin` | All margins | varies |
| `marginTop/Right/Bottom/Left` | Individual margins | varies |
| `marks` | Array of marks to render | required |
| `color` | Color scale options | auto |
| `x`, `y` | Position scale options | auto |
| `title`, `subtitle` | Chart titles | none |
| `caption` | Figure caption | none |

### Data Format

Plot expects tabular data as arrays of objects:

```javascript
const data = [
  {date: new Date("2024-01-01"), value: 100, category: "A"},
  {date: new Date("2024-01-02"), value: 120, category: "B"}
];
```

### Channel Mapping

Map data columns to visual properties:

```javascript
Plot.dot(data, {
  x: "date",        // column name
  y: "value",       // column name
  fill: "category", // color by category
  r: 5              // constant radius
})
```

## Quick Examples

### Line Chart
```javascript
Plot.lineY(data, {x: "date", y: "value"}).plot()
```

### Bar Chart
```javascript
Plot.barY(data, {x: "category", y: "value"}).plot()
```

### Scatter Plot
```javascript
Plot.dot(data, {x: "weight", y: "height", fill: "species"}).plot()
```

### Histogram
```javascript
Plot.rectY(data, Plot.binX({y: "count"}, {x: "value"})).plot()
```

### Area Chart
```javascript
Plot.areaY(data, {x: "date", y: "value", fill: "steelblue"}).plot()
```

## Documentation Files

This skill includes detailed documentation for each feature:

### Marks (Visual Elements)
- `marks/area.md` - Area charts and stacked areas
- `marks/bar.md` - Bar charts (horizontal and vertical)
- `marks/dot.md` - Scatter plots and bubble charts
- `marks/line.md` - Line charts
- `marks/rect.md` - Rectangles, histograms, heatmaps
- `marks/text.md` - Text labels and annotations
- `marks/rule.md` - Reference lines
- `marks/cell.md` - Heatmaps with ordinal dimensions
- `marks/tip.md` - Interactive tooltips
- `marks/axis.md` - Custom axes
- `marks/geo.md` - Geographic/map visualizations
- `marks/link.md` - Connections between points
- `marks/arrow.md` - Directed arrows
- `marks/vector.md` - Vector fields
- `marks/tick.md` - Tick marks
- `marks/box.md` - Box plots
- `marks/frame.md` - Frame decoration
- `marks/image.md` - Image glyphs

From maragudk/fabrik, MIT.

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Stars
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Last commit (this folder)
Apr 19, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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observable-plot skill. Agent Mart. https://agentmart.dev/skills/maragudk-observable-plot (last updated 2026-10-24)