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blog-chart

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).

Install / Use

npx skills add AgriciDaniel/claude-blog --skill blog-chart

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

93/100

Category

Automation

Supported Platforms

Universal

Tags

Our assessment of blog-chart

blog-chart scores 93/100 on our quality scale, 548th of 2,176 Automation skills we index (top 26%).

Its SKILL.md is 9.5 KB long, well organised into 19 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.

With 2,282 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 4 days ago, so blog-chart is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

blog-chart compared with similar skills

All 4 of these similar skills score higher than blog-chart; compare them before choosing.

SkillScoreStarsUpdatedFormat
blog-chart (this skill)by AgriciDaniel932.3k4d agoSKILL.md
Agent-Reachby Panniantong10086.1k13d agoCLAUDE.md
rufloby ruvnet10073.5ktodayCLAUDE.md
Scraplingby D4Vinci10084.4ktodayMCP Server
algorithmic-artby anthropics100177.9k6d agoSKILL.md

Frequently asked questions

How do I install blog-chart?
Run npx skills add AgriciDaniel/claude-blog --skill blog-chart. The install tabs above show the steps for each supported agent.
Which AI agents does blog-chart work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is blog-chart safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is blog-chart still maintained?
The repository was last updated 4 days ago, so blog-chart is actively maintained.

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 when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", or "visualize 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: "Quarterly Signups by Product"
- Data: Product A 420, Product B 315, Product C 180
- 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

Related Skills

View on GitHub
GitHub Stars2.3k
CategoryAutomation
Updated4d ago
Forks392

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions