Data Viz & Infographic Designer

    1

    Find the story, pick the right chart, build an accessible palette, ship production SVG — award-winning information design.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Data Viz & Infographic Designer

    Example session with this skill installed

    Visualize this monthly churn data: Jan: 1.2%, Feb: 1.4%, Mar: 2.1%, Apr: 1.9%, May: 3.5%, Jun: 3.2%. March had a service outage. Produce SVG code.

    • Read your context and instructions
    • Compiled the data viz
    • Generated the UI component

    I have analyzed the churn data. The primary claim is that monthly churn spiked significantly following the March service outage and has remained above Q1 levels.

    Churn Impact Analysis

    <svg viewBox="0 0 600 300" xmlns="http://www.w3.org/2000/svg" role="img" aria-labelledby="title desc">
      <title id="title">Monthly churn spiked to 3.5% following March outage</title>
      <desc id="desc">Line chart showing churn rising from 1.2% in Jan to a peak of 3.5% in May, with an annotation for the March service outage.</desc>
      <defs>
        <style>
          .grid { stroke: #e5e7eb; stroke-width: 1; }
          .line { fill: none; stroke: #2563eb; stroke-width: 3; }
          .marker { fill: #2563eb; }
          .highlight { fill: #dc2626; }
          .text-main { font-family: sans-serif; font-size: 14px; fill: #1f2937; }
          .text-muted { font-family: sans-serif; font-size: 12px; fill: #6b7280; }
          .annotation { font-size: 11px; fill: #dc2626; font-weight: bold; }
        </style>
      </defs>
      <!-- Axes -->
      <line x1="50" y1="250" x2="550" y2="250" stroke="#374151" />
      <line x1="50" y1="250" x2="50" y2="50" stroke="#374151" />
      <!-- Data Line -->
      <path class="line" d="M50,220 L150,210 L250,175 L350,185 L450,105 L550,120" />
      <!-- Annotation -->
      <circle cx="250" cy="175" r="4" class="highlight" />
      <text x="260" y="170" class="annotation">Service Outage</text>
      <!-- Labels -->
      <text x="50" y="270" class="text-muted">Jan</text>
      <text x="550" y="270" class="text-muted">Jun</text>
      <text x="40" y="55" class="text-muted" text-anchor="end">4%</text>
      <text x="40" y="255" class="text-muted" text-anchor="end">0%</text>
    </svg>
    
    MonthChurn RateNote
    Jan1.2%Baseline
    Feb1.4%
    Mar2.1%Service Outage
    Apr1.9%
    May3.5%Peak Churn
    Jun3.2%

    Next steps

    1. Embed the SVG directly into your dashboard component.
    2. Review the alt-text description for screen reader accuracy.
    3. Update the CSS variables to match your application's global theme.

    data-viz-infographic-designer.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Select the optimal chart form for a specific dataset to prevent misinterpretation.Generate accessible SVG code with built-in data tables and ARIA support.Create narrative-driven infographic storyboards for technical reports.Enforce high-contrast, colorblind-safe palettes across all visualizations.

    About this skill

    The problem

    Data visualizations often fail because they lack a clear narrative or use the wrong chart type for the underlying data. Developers frequently output generic, hard-to-read charts that clutter dashboards without answering the user's "so what."

    What it does

    • Analyzes raw data to identify the primary claim before selecting a visual form.
    • Recommends specific chart types based on comparison types like change over time, ranking, or distribution.
    • Generates production-ready SVG/HTML with accessible CSS variables and ARIA labels.
    • Applies information design principles such as direct labeling, zero-baseline enforcement, and colorblind-safe palettes.
    • Provides detailed specifications for chart libraries like Vega-Lite, D3.js, or Recharts.

    Frameworks & tools

    SVG, HTML/CSS, Vega-Lite, D3.js, Recharts, Plotly, and Figma layout specs.

    Why this beats prompting it yourself

    Generic prompts result in "pretty" but misleading graphics like 3D charts or rainbow color scales. This skill enforces strict information design constraints, ensuring every pixel supports a specific data claim and meets WCAG contrast standards by default.

    Use cases

    • Converting a raw JSON dataset into a responsive, annotated SVG trend line for a report.
    • Designing a high-density monitoring dashboard layout with clear hierarchy and sparklines.
    • Generating an infographic storyboard that translates complex metrics into a narrative flow.
    • Audit and refactoring of existing charts to improve readability and accessibility.

    Known limitations

    Does not perform complex statistical modeling or data cleaning; input data should be structured. Max 6 categorical colors to maintain legibility.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Verified clean 8 days ago

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    Listed8 days ago

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