Agent Skills

blog-chart

imageagricidaniel2.3K installs

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 visualizati

Install

npx skills add https://github.com/agricidaniel/claude-blog --skill blog-chart
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: 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

Related skills

ai-image-generationgenmedia-labs713KGenerate and edit images on RunComfy via the `runcomfy` CLI — a smart router across the full image-model catalog: FLUX 2 (Klein 9B/4B, Pro, Dev, Flash, Turbo, Max), Google Nano Banana 2 / Pro, OpenAI GPT Image 2, ByteDance Seedream 5 / 4-5 / 4-0 and Dreamina 4-0, Alibaba Qwen Image and Z-Image Turbo, Wan 2-7. Covers both text-to-image (t2i) and image-to-image / edit (i2i) endpoints — the skill picks the right model for the user's actual intent (typography precision, photoreal portraits, sub-secoai-image-generation101-skills547KGenerate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stnano-banana-2prime-skills424KGenerate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream insteimage-editprime-skills424KEdit images on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Nano Banana Edit (batch up to 20, identity-preserving default), OpenAI GPT Image 2 Edit (multilingual in-image text rewrite, multi-ref composition, layout precision), Flux Kontext Pro (single-ref high-fidelity local edit), or Z-Image Turbo Inpaint (mask-driven precise region edit). Bundles each model's documented prompting patterns so the skill gets sharper

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers