SkillsLib.ai

Data Visualization Narrative Designer

Transform data into compelling visual stories with intelligent chart selection and narrative design

0.0(0 reviews)
100+ downloads
Updated Oct 2026

What You Can Do

This skill analyzes your raw data and automatically recommends the best chart types, generates design specifications, and creates data-driven narratives that tell the story behind your numbers. You'll get publication-ready visualization briefs with interactive code, accessibility-optimized design specs, and key insights extracted from your dataset—no design experience required.

Features

Intelligent chart type recommendation

Claude analyzes data shape and dimensions to suggest optimal visualizations (bar, line, scatter, heatmap, etc.)

Automatic design specification generation

Color palettes, typography, layout, sizing, and responsive breakpoints tailored to your brand

Data-driven insight extraction

Key patterns, outliers, and narratives Claude discovers directly from your dataset

Multi-chart storyboard creation

Sequences related visualizations into cohesive data stories for presentations and reports

Interactive visualization code generation

Export-ready D3.js, Vega-Lite, or Plotly specifications ready to embed in web apps

Accessibility-first design

WCAG-compliant specs with alt text, color-blind safe palettes, and semantic structure

Narrative briefs with context

Headlines, captions, and commentary that guide viewers through your data story

Example Output

Input: CSV with monthly sales by region and product

Claude Output:

Chart 1: Sales Trend (Line Chart)

  • X-axis: Month (Jan–Dec)
  • Y-axis: Total Revenue (USD)
  • Color: Brand gradient #06B6FF → #7C3AED
  • Insight: "Revenue grew 34% YoY, with a dip in August due to seasonal factors."
  • Code: Vega-Lite JSON specification

Chart 2: Regional Breakdown (Stacked Bar)

  • Categories: East, West, Central regions
  • Insight: "East region is our growth leader (42% of total), while Central underperforms (18%)."
  • Interactive hover: Show dollar amounts and % of total
  • Accessibility: High-contrast colors for colorblind viewers

Narrative Brief: "Your Q4 surge was driven by product launches in the West region. The Central market presents untapped opportunity—consider targeted campaigns."

Exports: D3.js source code, interactive HTML embed, static PNG options at 2x/3x resolution, Figma design file with components

What's Included

  • SKILL.md: Core skill with analysis workflows, chart decision trees, and design templates
  • Data analysis checklist: Step-by-step guide to prepare and validate your dataset
  • Chart selection matrix: Quick reference for matching data types to visualization types
  • Design specification template: Reusable format for colors, typography, and layout
  • Code templates: Starter Vega-Lite, D3.js, and Plotly snippets
  • Narrative prompts: Questions Claude uses to extract insights and craft captions
  • Accessibility checklist: WCAG compliance verification for all outputs
  • Example datasets: Sample CSV files and expected outputs for practice

Who It's For

  • Data analysts and business intelligence professionals creating dashboards and reports
  • Data journalists publishing data-driven stories and explainers
  • Product managers and executives presenting metrics to stakeholders
  • UX/UI designers building data visualization components for web and mobile apps
  • Researchers and academics communicating findings through visual narratives

Best For

  • Designing dashboards and data-driven reports from CSV or JSON data
  • Creating multi-visualization stories and presentations with narrative flow
  • Generating interactive web visualizations with auto-generated code
  • Building accessible, brand-compliant data visualization systems
  • Publishing data journalism pieces and explainer articles with supporting charts

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