Skill1.1k repo starsupdated 8d ago
blog-chart
Blog Chart generates dark-mode-compatible inline SVG visualizations for blog posts, automatically selecting chart types based on data patterns and enforcing consistent styling using currentColor and opacity values. It runs internally when the blog-write or blog-rewrite commands detect chart-worthy data, supporting multiple chart types including bar, line, donut, lollipop, and radar charts, with all output designed to work seamlessly across light and dark backgrounds.
Install in Claude Code
Copygit clone --depth 1 https://github.com/AgriciDaniel/claude-blog /tmp/blog-chart && cp -r /tmp/blog-chart/skills/blog-chart ~/.claude/skills/blog-chartThen start a new Claude Code session; the skill loads automatically.
Definition
SKILL.md
# 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 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="currentColor" opacity="0.45"
Source text: fill="currentColor" opacity="0.35"
Label text: fill="currentColor" opacity="0.8"
```
### 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 colored elements: `fill="white"` with `fontWeight="800"`.
## Standard SVG Shell (HTML)
```xml
<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)
```jsx
<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)
| 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
## Output Format
Wrap every chart in a `<figure>` element:
**HTML:**
```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]">