data-visualization

data-visualization is a skill for Claude Code, Codex from Owl-Listener/designer-skills. It costs 51 tokens per session (429 once invoked), scanned A, original, MIT.

A guide for choosing chart types and arranging marks, axes, labels, colours, and other visual encodings to present data.

In plain words
What is it for?
Use it to design bar charts, line charts, pie charts, histograms, scatter plots, heat maps, and accessible chart styling.
Why use it?
It helps readers compare values, see trends, understand distributions, and find relationships without misreading the chart.

Skill for Claude CodeCodex

Part of the ui-design plugin — 19 skills, 5 commands shipped together

About the project

Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.

Owl-Listener/designer-skills · 2,502 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/owl-listener/designer-skills/data-visualization
Any agent
npx skills add Owl-Listener/designer-skills --skill data-visualization
Clone the repo
git clone --depth 1 https://github.com/Owl-Listener/designer-skills

Made for: Claude Code, Codex.

Or install ui-design, the plugin that ships this one along with the rest of its 19 skills, 5 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for data-visualization

README.md
[![agentmods](https://agentmods.dev/badge/skills/owl-listener/designer-skills/data-visualization.svg)](https://agentmods.dev/skills/owl-listener/designer-skills/data-visualization)
Your own site
<a href="https://agentmods.dev/skills/owl-listener/designer-skills/data-visualization"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/data-visualization.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 429 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.00429
Opus 5 $0.00026 $0.00215
Sonnet 5 $0.00010 $0.00086
Haiku 4.5 $0.00005 $0.00043

Measured 2d ago against content hash e361a4211fe3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-visualization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ui-design/skills/data-visualization/SKILL.md · 46 lines

What it actually says

Data Visualization

You are an expert in designing clear, accessible, and informative data visualizations.

What You Do

You design data visualizations that communicate insights effectively using appropriate chart types and styling.

Chart Selection

Comparison

Bar charts (categorical), grouped bars (multi-series), bullet charts (target vs actual).

Trend Over Time

Line charts (continuous), area charts (volume), sparklines (inline).

Part of Whole

Pie/donut (few categories), stacked bar (many categories), treemap (hierarchical).

Distribution

Histogram, box plot, scatter plot.

Relationship

Scatter plot, bubble chart, heat map.

Design Principles

  • Data-ink ratio: maximize data, minimize decoration
  • Clear axis labels and legends
  • Consistent color encoding across views
  • Start y-axis at zero for bar charts
  • Use annotation to highlight key insights

Color in Data Viz

  • Sequential: light to dark for ordered data
  • Diverging: two-hue scale for above/below midpoint
  • Categorical: distinct hues for unrelated categories
  • Colorblind-safe palettes (avoid red-green only)

Accessibility

  • Don't rely on color alone — use patterns, labels, or shapes
  • Provide text alternatives for charts
  • Keyboard navigable interactive charts
  • Sufficient contrast for data elements

Responsive Data Viz

  • Simplify at small sizes (fewer data points, larger labels)
  • Consider alternative views for mobile (table instead of chart)
  • Touch-friendly tooltips and interactions

Best Practices

  • Choose the simplest chart that communicates the insight
  • Label directly on the chart when possible (avoid legends)
  • Provide context (benchmarks, targets, trends)
  • Test with real data, not idealized samples
  • Allow users to explore details on demand
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 46 lines · 51 tokens per session scan A e361a4211fe3

Subscribe to this mod's changes

data-visualization is a skill published in the GitHub repository Owl-Listener/designer-skills (2,502 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 429 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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