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blog-chart

blog-chart

github.com/infrasity-labsDesign & UI15094 installsUpdated 18w ago
Repository

About blog-chart

blog-chart is an internally invoked skill used by blog-write and blog-rewrite to create inline SVG data visualizations for blog posts. It selects chart forms by data pattern and specifies styling for dark and light backgrounds, accessibility descriptions, and MDX attributes.

Key features

  1. 01Generate inline SVG charts
  2. 02Choose chart types by data pattern
  3. 03Provide HTML and MDX output formats
  4. 04Use styling suited to dark and light backgrounds
  5. 05Include screen-reader descriptions and source attribution

Use cases

  1. 01Show data comparisons in blog posts
  2. 02Visualize trends or distributions
  3. 03Create correctly formatted SVG for MDX posts

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/infrasity-labs/dev-gtm-claude-skills --skill blog-chart

After installing, type/blog-chartin Claude Code to confirm it loaded.

Details

From the project README

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: references/visual-media.md

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: Ahrefs, December 2025
- Platform: mdx (or html)

Chart Type Selection

Select based on the data pattern. Diversity is mandatory - never repeat a type within one post.

Data PatternBest Chart Type
Before/after comparisonGrouped bar chart
Ranked factors / correlationsLollipop chart
Parts of whole / market shareDonut chart
Trend over timeLine chart
Percentage improvementHorizontal bar chart
Distribution / rangeArea chart
Multi-dimensional scoringRadar 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="currentColor" opacity="0.45"
Source text:        fill="currentColor" opacity="0.35"
Label text:        fill="currentColor" opacity="0.8"
Color Palette
ColorHexUse Case
Orange#f97316Primary / highest value
Sky Blue#38bdf8Secondary / comparison
Purple#a78bfaTertiary / special category
Green#22c55eQuaternary / positive indicator

For text inside colored elements: fill="white" with fontWeight="800".

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-label="Chart description with key data point"
>
  <title>Chart Title</title>
  <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="currentColor" opacity="0.35">
    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-label="Chart description"
>
  <title>Chart Title</title>
  <desc>Description for screen readers</desc>

  {/* Chart content */}

  <text x="280" y="372" textAnchor="middle" fontSize="10" fill="currentColor" opacity="0.35">
    Source: Source Name (Year)
  </text>
</svg>

JSX Attribute Conversion (Required for MDX)

HTMLJSX
stroke-widthstrokeWidth
stroke-dasharraystrokeDasharray
stroke-linecapstrokeLinecap
text-anchortextAnchor
font-sizefontSize
font-weightfontWeight
font-familyfontFamily
classclassName
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

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-label="[description]">
    <title>[Chart Title]</title>
    <desc>[Full description with data points for screen readers]</desc>
    <!-- chart content -->
    <text x="280" y="372" text-anchor="middle" font-size="10" fill="currentColor" opacity="0.35">
      Source: [Source Name] ([Year])
    </text>
  </svg>
</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-label="[description]">
    <title>[Chart Title]</title>
    <desc>[Full description]</desc>
    {/* chart content with camelCase attributes */}
    <text x="280" y="372" textAnchor="middle" fontSize="10" fill="currentColor" opacity="0.35">
      Source: [Source Name] ([Year])
    </text>
  </svg>
</figure>

Quality Checklist (Verify Before Returning)

  • No hardcoded text colors (all use currentColor)
  • No white/light backgrounds (transparent or none)
  • Source attribution text present at bottom
  • role="img" and aria-label present on <svg>
  • <title> and <desc> present inside <svg>
  • Chart type not already used in this post
  • 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

Comments

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