blog-chart

name	blog-chart
description	Generate dark-mode-compatible inline SVG data visualization charts for blog posts. Supports horizontal bar, grouped bar, donut, line, lollipop, area, and radar charts with automatic platform detection (HTML vs JSX/MDX). Enforces chart type diversity, accessible markup (role=img, aria-labelledby), source attribution, and transparent backgrounds. Use whenever the user mentions data visualization, charts, graphs, comparison tables that need to be visualized, or wants to embed inline SVG visualizations in a blog post, even if not invoking blog-write. Use when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", "visualize data", or when the blog-write workflow identifies chart-worthy data points (3+ comparable metrics, trends, before/after data).
user-invokable	false
license	MIT

Blog Chart: Built-In SVG Data Visualization

Generates dark-mode-compatible inline SVG charts for blog posts. Invoked internally by blog-write and blog-rewrite when chart-worthy data is identified. Not a standalone user-facing command.

Styling source of truth: skills/blog/references/visual-media.md

For supported chart types, prefer the deterministic CLI:

python3 skills/blog-chart/scripts/generate_chart_svg.py --input chart.json --output chart.html --json

Input Format

The writer or researcher passes a chart request:

Chart Request:
- Type: horizontal bar
- Title: "AI Citation Sources by Platform"
- Data: ChatGPT 43.8%, Perplexity 6.6%, Google AI Overviews 2.2%, Reddit 7.15%
- Source: [Verified source], [publication date]
- Platform: mdx (or html)

Chart Type Selection

Select based on the data pattern. Prefer chart type diversity, but repeat a type when comparability or reader comprehension clearly benefits.

Data Pattern	Best Chart Type
Before/after comparison	Grouped bar chart
Ranked factors / correlations	Lollipop chart
Parts of whole / market share	Donut chart
Trend over time	Line chart
Percentage improvement	Horizontal bar chart
Distribution / range	Area chart
Multi-dimensional scoring	Radar chart

Styling Rules (Non-Negotiable)

All charts must work on both dark and light backgrounds:

Text elements:     fill="currentColor"
Grid lines:        stroke="currentColor" opacity="0.08"
Axis lines:        stroke="currentColor" opacity="0.3"
Background:        transparent (no fill on root SVG)
Subtitle text:     fill="var(--chart-muted, currentColor)"
Source text:        fill="var(--chart-muted, currentColor)"
Label text:        fill="currentColor" opacity="0.8"

Set --chart-muted to an accessible text token in the host theme. If no token exists, use #4b5563 on light backgrounds and #d1d5db on dark backgrounds. Do not rely on low-opacity source or subtitle text for visible attribution.

Color Palette

Color	Hex	Use Case
Orange	#f97316	Primary / highest value
Sky Blue	#38bdf8	Secondary / comparison
Purple	#a78bfa	Tertiary / special category
Green	#22c55e	Quaternary / positive indicator

For text inside approved colored elements: use fill="#111827" with fontWeight="800". Only use white text after checking the contrast ratio is at least 4.5:1 against that specific fill color.

Do not rely on color alone. Add direct labels, patterns, line dashes, marker shapes, or legend text so colorblind readers can distinguish series.

Standard SVG Shell (HTML)

<svg
  viewBox="0 0 560 380"
  style="max-width: 100%; height: auto; font-family: 'Inter', system-ui, sans-serif"
  role="img"
  aria-labelledby="chart-title chart-desc"
>
  <title id="chart-title">Chart Title</title>
  <desc id="chart-desc">Description for screen readers with all key data points and source</desc>

  <!-- Chart content -->

  <text x="280" y="372" text-anchor="middle" font-size="10" fill="var(--chart-muted, currentColor)">
    Source: Source Name (Year)
  </text>
</svg>

JSX/MDX Shell (camelCase attributes)

<svg
  viewBox="0 0 560 380"
  style={{maxWidth: '100%', height: 'auto', fontFamily: "'Inter', system-ui, sans-serif"}}
  role="img"
  aria-labelledby="chart-title chart-desc"
>
  <title id="chart-title">Chart Title</title>
  <desc id="chart-desc">Description for screen readers</desc>

  {/* Chart content */}

  <text x="280" y="372" textAnchor="middle" fontSize="10" fill="var(--chart-muted, currentColor)">
    Source: Source Name (Year)
  </text>
</svg>

JSX Attribute Conversion (Required for MDX)

HTML	JSX
stroke-width	strokeWidth
stroke-dasharray	strokeDasharray
stroke-linecap	strokeLinecap
text-anchor	textAnchor
font-size	fontSize
font-weight	fontWeight
font-family	fontFamily
class	className
style="..."	style={{...}}

Chart Type Construction

Horizontal Bar Chart

Best for: percentage improvements, single-metric comparisons.

1. Define chart area: x=80, y=40, width=440, height=280
2. Calculate bar height: chartHeight / dataCount - gap (gap=8)
3. Calculate bar width: (value / maxValue) * chartWidth
4. Position bars: y = chartY + index * (barHeight + gap)
5. Label on left (right-aligned at x=75): category name
6. Value label at end of bar: percentage or number
7. Source text at bottom center

Grouped Bar Chart

Best for: before/after, A vs B comparisons.

1. Define groups along Y axis, bars within each group
2. Use 2 colors (primary + secondary) for the two series
3. Add legend at top: colored square + label for each series
4. Gap between groups > gap within groups

Donut Chart

Best for: parts of whole, market share.

1. Center: cx=280, cy=180, outer radius=140, inner radius=80
2. Calculate arc segments using cumulative angles
3. Each segment: <path d="M... A... L... A... Z" fill="color" />
4. Center text: total or key label
5. Legend below chart with color squares + labels + values

Line Chart

Best for: trends over time.

1. X axis: time periods, evenly spaced
2. Y axis: value range with 4-5 grid lines
3. Draw grid lines: stroke="currentColor" opacity="0.08"
4. Plot data points: <circle cx=... cy=... r="4" fill="color" />
5. Connect with: <polyline points="..." fill="none" stroke="color" strokeWidth="2" />
6. Optional: area fill below line with opacity="0.1"

Lollipop Chart

Best for: ranked factors, correlations.

1. Horizontal orientation (like bar chart but with circles)
2. Thin line from axis to data point: stroke="currentColor" opacity="0.15" strokeWidth="1"
3. Circle at data point: r="6" with fill color
4. Value label next to circle
5. Categories on Y axis (left-aligned)

Area Chart

Best for: distribution, cumulative data.

1. Same as line chart but with filled area below
2. Area fill: <path d="M... L... L... Z" fill="color" opacity="0.15" />
3. Line on top: stroke="color" strokeWidth="2" fill="none"
4. Grid lines behind the area

Radar Chart

Best for: multi-dimensional scoring (5-7 axes).

1. Center: cx=280, cy=190
2. Draw concentric polygons for grid (3-4 levels)
3. Calculate axis endpoints at equal angles
4. Plot data points on each axis proportional to value
5. Connect data points with filled polygon: fill="color" opacity="0.2" stroke="color"
6. Label each axis at the outer edge

Label Rules

• Wrap long labels at word boundaries into <tspan> lines.
• Truncate only when wrapping would collide with data marks, and keep the full label in <desc> or adjacent prose.
• Use stable chart dimensions with a responsive max-width: 100%; height: auto style, or choose a justified wider viewBox for dense labels.
• Check mobile widths so axis labels, legends, and value labels do not overlap.

Output Format

Wrap every chart in a <figure> element:

HTML:

<figure>
  <svg viewBox="0 0 560 380" style="max-width: 100%; height: auto; font-family: 'Inter', system-ui, sans-serif" role="img" aria-labelledby="chart-title chart-desc">
    <title id="chart-title">[Chart Title]</title>
    <desc id="chart-desc">[Full description with data points for screen readers]</desc>
    <!-- chart content -->
    <text x="280" y="372" text-anchor="middle" font-size="10" fill="var(--chart-muted, currentColor)">
      Source: [Source Name] ([Year])
    </text>
  </svg>
  <figcaption>Source: <a href="[Source URL]">[Source Name]</a>, [publication date].</figcaption>
</figure>

MDX:

<figure className="chart-container" style={{margin: '2.5rem 0', textAlign: 'center', padding: '1.5rem', borderRadius: '12px'}}>
  <svg viewBox="0 0 560 380" style={{maxWidth: '100%', height: 'auto', fontFamily: "'Inter', system-ui, sans-serif"}} role="img" aria-labelledby="chart-title chart-desc">
    <title id="chart-title">[Chart Title]</title>
    <desc id="chart-desc">[Full description]</desc>
    {/* chart content with camelCase attributes */}
    <text x="280" y="372" textAnchor="middle" fontSize="10" fill="var(--chart-muted, currentColor)">
      Source: [Source Name] ([Year])
    </text>
  </svg>
  <figcaption>Source: <a href="[Source URL]">[Source Name]</a>, [publication date].</figcaption>
</figure>

Quality Checklist (Verify Before Returning)

• No hardcoded text colors except contrast-checked labels inside colored elements
• No white/light backgrounds (transparent or none)
• Source attribution text present at bottom and semantic <figcaption> present
• role="img" and aria-labelledby present on <svg>
• <title id> and <desc id> present inside <svg>
• Chart type choice supports comprehension and comparability
• If MDX: all attributes camelCased (no hyphens in attribute names)
• Data values match the source data exactly
• Color palette uses only approved colors
• ViewBox is 0 0 560 380 (standard) or justified alternative
• Labels, shapes, patterns, or line styles provide redundancy beyond color