| name | graphic-chart |
| description | Generates data visualization charts (bar, line, area, pie, doughnut, scatter, radar, treemap) as PNG using Apache ECharts v6. 1080×1080px default, 5 style presets, highlight annotations. Trigger when user says "create a chart", "visualize data", "make a bar chart", "line graph", "pie chart", "data visualization", "chart this data", "plot", "graph", or "visualize these numbers". |
| compatibility | ["claude-code","gemini-cli","github-copilot"] |
| author | OpenDirectory |
| version | 2.0.0 |
graphic-chart
Generates data visualization charts as PNG. Renders HTML with Apache ECharts v6 in headless Chromium via Playwright → screenshots at 2× retina quality.
CDN: https://cdn.jsdelivr.net/npm/echarts@6.0.0/dist/echarts.min.js
Critical Rules (read before every generation)
area type → type: 'line' + areaStyle: {} — ECharts has no type: 'area'.
doughnut → type: 'pie' + radius: ['40%', '70%'] — ECharts has no type: 'doughnut'.
- Readiness signal: register
chart.on('finished', fn) BEFORE chart.setOption() — ECharts bug #14101/#17500: if listener is registered after setOption, it silently never fires. Always register both finished and rendered events before setOption.
xAxis.type: 'category' must be explicit — ECharts does not infer it from the data. Forgetting this produces a blank chart.
- Category labels go in
xAxis.data, not in a data.labels array. ECharts structure is flat: { xAxis, yAxis, series, grid, title, legend } — not nested under data or options.
- Data labels are fully built-in — use
label: { show: true } on any series. No plugin needed.
- Highlight a specific bar/point via per-item
itemStyle — put { value: N, itemStyle: { color: '#...' } } directly in the data array. Do NOT use Chart.js-style backgroundColor arrays.
- ECharts init uses a
<div> container, not <canvas> — echarts.init(document.getElementById('chart')). The container div needs explicit dimensions.
animation: false in option — disables animation for instant render. Still register finished + rendered events before setOption for the readiness signal.
- Never dump HTML in chat. Save to file, show summary only.
- Title states the insight, not the subject. "Revenue grew 3× in 12 months" not "Monthly Revenue".
- Pie/doughnut: use body
padding: 64px 80px and .chart-container { max-height: 860px } — prevents edge-to-edge fill when no title.
Step 1: Intake
Required: chart_type, data
Optional parameters and defaults:
| Parameter | Default | Description |
|---|
| chart_type | — | bar / line / area / pie / doughnut / scatter / radar / treemap |
| data | — | JSON array or CSV — required |
| title | — | States the insight, ≤10 words |
| subtitle | — | 1-sentence context line |
| style | clean-slate | clean-slate / midnight-editorial / matt-gray / electric-burst / brutalist |
| dimensions | 1080x1080 | WxH pixels (output PNG = 2× via deviceScaleFactor) |
| x_label | — | X-axis label text |
| y_label | — | Y-axis label text |
| source | — | Data source shown in footer |
| highlight | — | Data label to highlight (e.g. "Q4", "Dec", index 3) |
If chart_type or data is missing, ask exactly:
"To create the chart, I need:
- Chart type — bar / line / area / pie / doughnut / scatter / radar / treemap
- Data — provide as JSON array or CSV (e.g.
[12, 18, 22, 25, 31] with labels ['Q1','Q2','Q3','Q4','Q5'])
Optional: title, style (default: clean-slate), dimensions (default: 1080×1080), highlight a specific data point"
If both present → skip to Step 2.
Step 2: Internal Architecture (never shown to user)
1. Normalize chart type:
area → line + areaStyle: {} on series
doughnut → pie + radius: ['40%', '70%'] on series
horizontal bar → bar + swap xAxis/yAxis (category axis on y)
- All others: use as-is
2. Read references/chart-library.md — load full config spec for this chart type.
3. Read references/style-presets.md — load CSS tokens + data palette for chosen style.
4. Commit to design direction:
| Decision | Derive from |
|---|
| Tone | Professional / editorial / bold / technical — match the data's audience |
| Data story | Single insight this chart proves (becomes the title) |
| Highlight strategy | Which data point needs visual emphasis and why? |
| Background | Light (clean-slate, matt-gray) or dark (midnight-editorial, electric-burst, brutalist) |
5. Parse data:
- Simple array
[12, 18, 22] → series.data, labels provided separately
- Object array
[{x: 'Jan', y: 12}] → xAxis.data from x keys, series.data from y values
- CSV: parse header row as xAxis.data, value row as series.data
- Multi-series: multiple
series entries each with type, name, data
- Scatter:
series.data: [[x1,y1], [x2,y2], ...] format
6. Parse dimensions: "1080x1080" → W=1080, H=1080. Body = WxH. Output PNG = 2W × 2H.
Step 3: HTML Generation
Read ALL before generating:
references/chart-library.md for this chart type's full ECharts config spec
references/style-presets.md for the chosen style's CSS tokens + palette
Required HTML structure:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
[font CDN link from style preset]
<style>
:root {
[all CSS tokens from style preset]
}
*, *::before, *::after { margin: 0; padding: 0; box-sizing: border-box; }
html, body {
width: [W]px; height: [H]px;
overflow: hidden;
background: var(--bg);
font-family: var(--font-body);
}
body {
display: flex;
flex-direction: column;
padding: 40px 48px 32px;
}
.chart-container {
flex: 1;
min-height: 0;
}
.chart-header { margin-bottom: 24px; }
.chart-title {
font-family: var(--font-display);
font-size: clamp(1.1rem, 2.5vw, 1.6rem);
font-weight: 700;
color: var(--text);
line-height: 1.2;
}
.chart-subtitle {
font-family: var(--font-body);
font-size: clamp(0.75rem, 1.2vw, 0.9rem);
color: var(--text-muted);
margin-top: 6px;
line-height: 1.5;
}
.chart-footer {
margin-top: 14px;
font-family: var(--font-body);
font-size: 10px;
color: var(--text-muted);
opacity: 0.65;
}
</style>
</head>
<body>
[if title or subtitle: <div class="chart-header"><div class="chart-title">...</div>...</div>]
<div id="chart" class="chart-container"></div>
[if source: <div class="chart-footer">Source: [source]</div>]
<script src="https://cdn.jsdelivr.net/npm/echarts@6.0.0/dist/echarts.min.js"></script>
<script>
window.__chartReady = false;
document.fonts.ready.then(() => {
const container = document.getElementById('chart');
const chart = echarts.init(container, null, { renderer: 'canvas' });
chart.on('finished', () => {
window.__chartReady = true;
});
chart.on('rendered', () => {
clearTimeout(window.__renderDebounce);
window.__renderDebounce = setTimeout(() => { window.__chartReady = true; }, 100);
});
const palette = [palette from style preset];
const option = {
animation: false,
backgroundColor: 'transparent',
textStyle: {
fontFamily: '[--font-body value]',
color: '[--text-muted value]',
},
[title config if title param provided],
[legend config per chart type],
[grid config per chart type],
[xAxis config per chart type],
[yAxis config per chart type],
series: [{
[full series config from chart-library.md for this type]
[palette colors applied per chart type]
[if highlight: per-item itemStyle on the highlighted data point]
}]
};
chart.setOption(option);
});
</script>
</body>
</html>
Design quality rules:
- Title font:
fontWeight: 'bold', fontSize: 20–24 — no thin titles
- Grid lines: low opacity (0.06–0.10) — subordinate to data
- Bars:
barMaxWidth: 60, rounded via itemStyle.borderRadius: [4,4,0,0]
- Lines:
smooth: true for natural curves, symbolSize: 8 for points
- Pie/doughnut:
label.formatter: '{b}\n{d}%' for built-in on-slice labels
- Dark presets: grid
rgba(255,255,255,0.07), axis line/tick color rgba(255,255,255,0.15)
- Tooltip:
show: false — static PNG, no hover interaction
- When no title provided: skip
.chart-header, omit title from ECharts option
Step 4: Self-QA (fix every failure before Step 5)
Structure:
Type-specific:
Design:
Step 5: Export
Determine slug from title or chart type + data context (kebab-case, ≤30 chars):
mkdir -p chart/[slug]
Save HTML: chart/[slug]/chart.html
Quick browser check:
open chart/[slug]/chart.html
Run export (replace [skill-root] with actual path to this skill's directory):
bash [skill-root]/scripts/export-chart.sh \
chart/[slug]/chart.html \
chart/[slug]/chart.png \
--width [W] \
--height [H]
The script installs Playwright on first run (~200MB Chromium download), then captures the chart at deviceScaleFactor: 2.
Step 6: Output Summary
## Chart: [title]
Date: [YYYY-MM-DD] | Type: [chart_type] | Style: [style]
Dimensions: [W×H]px → PNG: [2W×2H]px @2× retina
Files
Source: chart/[slug]/chart.html
Output: chart/[slug]/chart.png
Size: [X] KB
Checklist
- [ ] Title states the insight clearly
- [ ] Data labels legible at display size
- [ ] Highlight visible on correct data point
- [ ] Source attribution present in footer
Prompt Tips (show when user asks for guidance)
"Provide structured data — JSON or CSV, not prose descriptions."
"Name the chart type explicitly. 'bar chart comparing Q1–Q4' not 'a chart showing quarters'."
"Specify the data story. 'highlight Q4 which outperformed all others' gives the annotation context."
✅ Good: "Create a line chart. Title: 'From $12k to $95k ARR in 12 Months'. Data: [12, 18, 22, 25, 31, 38, 44, 52, 61, 68, 78, 95] (Jan–Dec 2024). Highlight December. Source: Internal CRM. Style: electric-burst."
❌ Bad: "make a chart about our company growth"