mcpField
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data-visualization

data-visualization

github.com/kensaurusData & databases939 installsUpdated 1w ago
Repository

About data-visualization

A skill for developers building data visualizations for dashboards and reports. It covers chart selection, responsive Recharts patterns, accessibility alternatives, and loading and empty states.

Key features

  1. 01Choose chart types for data patterns
  2. 02Reuse existing chart libraries and tokens
  3. 03Build responsive Recharts charts
  4. 04Provide screen-reader data alternatives
  5. 05Handle loading and empty states

Use cases

  1. 01Add trend charts to a dashboard
  2. 02Show compact sparklines beside statistics
  3. 03Make charts accessible without color-only cues

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/kensaurus/skills --skill data-visualization

After installing, type/data-visualizationin Claude Code to confirm it loaded.

Bundled filesreferences/d3-and-accessibility.mdreferences/recharts.md

Details

From the project README

Data Visualization Skill

Degree of freedom: MIXED. Chart type and encoding [HIGH freedom]; existing-library/token probes and a11y fallback [LOW freedom — run exactly].

How to reason

  1. Observe — existing chart library, tokens, data shape
  2. Interpret — reuse a component vs new chart type
  3. Classify — line / bar / area / donut / sparkline / table-fallback
  4. Severity — inaccessible or empty-state-less chart outranks a missing gradient

Worked example

Observe: package.json has recharts; no src/components/charts; tokens define --primary. Interpret: reuse Recharts + tokens, not D3. Classify: ResponsiveContainer line chart + sr-only table; skeleton while loading. Verify: resizes; screen-reader table present; no second chart library.

Self-critique before reporting

  • Existing lib — grepped package.json; did not add a second chart library
  • Accessible — sr-only table or text alternative present
  • States — loading + empty handled
  • Right owner — event taxonomy → audit-analytics; empty/loading frames → audit-ui-states

Create beautiful, accessible, and interactive data visualizations for dashboards and reports.

Product-event coverage ("are we tracking the right events?") is audit-analytics, not this skill. Empty/loading chart frames are audit-ui-states.

Check existing first [LOW freedom — run exactly]

Before creating ANY visualization, verify:

  1. Check for existing chart libraries:
cat package.json | grep -i "recharts\|chart\|d3\|visx\|nivo\|tremor"
rg "LineChart|BarChart|PieChart" --type tsx -l | head -10
  1. Check for existing chart components:
ls -la src/components/charts/ src/components/dashboard/ 2>/dev/null
rg "ResponsiveContainer|Chart" --type tsx | head -10
  1. Check for design tokens:
cat tailwind.config.* | grep -A10 "chart\|colors"

Why: Use existing chart library and styling conventions.

Recharts (Recommended for React) [HIGH freedom]

  • Wrap every chart in ResponsiveContainer width="100%"; set a fixed height.
  • Style through tokens: hsl(var(--primary)), fill-muted-foreground, stroke-muted; no hard-coded hex.
  • Hide axis lines and tick lines (tickLine={false} axisLine={false}); format Y ticks ($, %).
  • Custom Tooltip content uses bg-background border rounded-lg so it matches the theme.
  • Chart types: line (trend over time), bar (radius={[4,4,0,0]}, highlight the latest Cell), area (gradient <defs> fill), donut (innerRadius/outerRadius + center Label for the total).
'use client'
import { LineChart, Line, XAxis, YAxis, Tooltip, ResponsiveContainer } from 'recharts'

export function RevenueChart({ data }: { data: { month: string; revenue: number }[] }) {
  return (
    <ResponsiveContainer width="100%" height={350}>
      <LineChart data={data}>
        <XAxis dataKey="month" tickLine={false} axisLine={false} className="text-xs fill-muted-foreground" />
        <YAxis tickLine={false} axisLine={false} tickFormatter={(v) => `$${v}`} />
        <Tooltip cursor={{ stroke: 'hsl(var(--muted))' }} />
        <Line type="monotone" dataKey="revenue" stroke="hsl(var(--primary))" strokeWidth={2} activeDot={{ r: 6 }} />
      </LineChart>
    </ResponsiveContainer>
  )
}

Full line chart with custom tooltip, bar, area-gradient and donut components: references/recharts.md §Line chart, §Bar chart, §Area chart, §Pie/Donut chart.

Sparklines (Mini Charts) [HIGH freedom]

  • A LineChart with one Line, dot={false}, strokeWidth={1.5}, no axes, height ~40.
  • Map a number[] to { index, value } inside the component so callers pass plain arrays.
  • Place it in a w-20 slot beside the stat value, never as its own card.

Sparkline component and stats-card usage: references/recharts.md §Sparklines.

Stat Cards with Trends [HIGH freedom]

  • rounded-xl border bg-card p-6; title in text-muted-foreground, value text-3xl font-semibold.
  • Trend arrow + Math.abs(change)%; green for up, red for down; pass the same color to the sparkline.
  • sparklineData is optional; render the sparkline only when present.

StatCard component: references/recharts.md §Stat cards with trends.

Real-time Data Updates [HIGH freedom]

  • Append in setData(prev => [...prev, point].slice(-N)); keep a bounded window (about 20 points).
  • isAnimationActive={false} and a fixed YAxis domain so the chart does not jump per tick.
  • Clear the interval or socket subscription in the effect cleanup.

RealtimeChart component: references/recharts.md §Real-time data updates.

D3.js for Custom Visualizations [HIGH freedom]

  • Reach for D3 only when Recharts cannot express the mark; never add it beside an existing chart library.
  • Render into a ref'd <svg> from useEffect; svg.selectAll('*').remove() before redrawing on data change.
  • scaleBand for categories, scaleLinear().nice() for values; size from clientWidth/clientHeight, with margins.
  • Animate with .transition().duration(750) from the baseline; color with the same hsl(var(--primary)) tokens.

Full D3 bar chart component: references/d3-and-accessibility.md §D3.js custom bar chart.

Accessibility [LOW freedom — run exactly]

  • Wrap the chart in <div role="img" aria-label="..."> that states what the chart shows and its range.
  • Mark the SVG chart aria-hidden="true"; provide the data as an sr-only <table> with a <caption>.
  • Color is never the only encoding: pair it with labels, markers, or a legend.
<div role="img" aria-label="Revenue chart showing monthly data from January to December">
  <ResponsiveContainer><LineChart data={data} aria-hidden="true">{/* ... */}</LineChart></ResponsiveContainer>
  <table className="sr-only">
    <caption>Monthly Revenue Data</caption>
    <thead><tr><th>Month</th><th>Revenue</th></tr></thead>
    <tbody>{data.map((d) => <tr key={d.month}><td>{d.month}</td><td>${d.revenue}</td></tr>)}</tbody>
  </table>
</div>

Full accessibility block: references/d3-and-accessibility.md §Accessibility.

Validation [LOW freedom — do not skip]

After creating visualizations:

  1. Responsive → Charts resize properly on all screens
  2. Accessible → Screen reader alternatives provided
  3. Performance → Large datasets use virtualization/sampling
  4. Loading states → Skeleton shown while data loads
  5. Empty states → Meaningful message when no data
  6. Color contrast → Meets WCAG guidelines
  7. Tooltips → Provide detailed data on hover

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