observable-plot
Guide for using Observable Plot, a JavaScript library for exploratory data visualization built on D3.
Skill by maragudk
Install
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.
npx agentmarket install skill/maragudk-observable-plot
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About
Use cases: data
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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 glyphsFrom maragudk/fabrik, MIT.
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Signals
- Stars
- 30
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Apr 19, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/maragudk/fabrik
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
observable-plot skill. Agent Mart. https://agentmart.dev/skills/maragudk-observable-plot (last updated 2026-10-24)