D3 Visualization
benchflow-ai/skillsbench
Build deterministic, verifiable data visualizations with D3.js (v6).
Select chart types and design data encodings — marks, axes, labels, and accessible chart styling.
Install Data Visualization
$ npx skills add Owl-Listener/designer-skills --skill data-visualization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Owl-Listener/designer-skills data-visualization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ui-design/skills/data-visualization .claude/skills/data-visualization && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "data-visualization" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/data-visualization into .claude/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/data-visualizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Owl-Listener/designer-skills --skill data-visualization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Owl-Listener/designer-skills data-visualization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ui-design/skills/data-visualization .agents/skills/data-visualization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-visualization" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/data-visualization into .agents/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Owl-Listener/designer-skills --skill data-visualization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Owl-Listener/designer-skills data-visualization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ui-design/skills/data-visualization .cursor/skills/data-visualization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "data-visualization" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/data-visualization into .cursor/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Owl-Listener/designer-skills.git --path ui-design/skills/data-visualization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Owl-Listener/designer-skills --skill data-visualization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Owl-Listener/designer-skills data-visualization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ui-design/skills/data-visualization .gemini/skills/data-visualization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "data-visualization" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/data-visualization into .gemini/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Owl-Listener/designer-skills data-visualizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Owl-Listener/designer-skills --skill data-visualization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ui-design/skills/data-visualization .github/skills/data-visualization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "data-visualization" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/data-visualization into .github/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Owl-Listener/designer-skills --skill data-visualization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Owl-Listener/designer-skills data-visualization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ui-design/skills/data-visualization .opencode/skills/data-visualization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "data-visualization" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/data-visualization into .opencode/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
data-visualization- GitHub stars
- 2.9k
- Used in
- 1 other repo
- Token cost
- ~513 tokens
- SKILL.md length
- 228 words
- Files
- 1
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- MIT
At a glance
Select chart types and design data encodings — marks, axes, labels, and accessible chart styling.
- Presenting data graphically
- SKILL.md covers What You Do, Chart Selection, Design Principles and Color in Data Viz, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Data visualization
What it does
Data Visualization is an agent skill from Owl-Listener/designer-skills. Select chart types and design data encodings — marks, axes, labels, and accessible chart styling. Use when presenting data graphically. Owns chart selection and encoding only; the categorical colour ramp itself belongs to color-system.
Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Data visualization and Accessibility. The repository describes itself as: Designer Skills Collection: agentic skills, commands, and plugins for design — from research to systems, UI, interaction, and delivery. The licence is MIT.
When your agent uses it
- Presenting data graphically
- Tasks that involve Data visualization
- Tasks that involve Accessibility
Example prompts
- “/data-visualization”
What it can do on your machine
Read from SKILL.md and the folder at commit 9a6930c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Data Visualization loads about 513 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 228 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Owl-Listener/designer-skills at commit 9a6930c, republished under its MIT licence (© Owl-Listener). 228 words, ~513 tokens.
Download SKILL.mdSave it as
.claude/skills/data-visualization/SKILL.md (or your agent's skills folder).- name
- data-visualization
- description
- Select chart types and design data encodings — marks, axes, labels, and accessible chart styling. Use when presenting data graphically. Owns chart selection and encoding only; the categorical colour ramp itself belongs to `color-system`.
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
© Owl-Listener, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in ui-design/skills/data-visualization of Owl-Listener/designer-skills.
Open the folder on GitHubat commit 9a6930c
Used in 1 other repository
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Owl-Listener/designer-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Data Visualization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Data Visualization this skillOwl-Listener/designer-skills | 2.9k | 1 repos | ~513 | Automated safety check: Pass | MIT | |
| D3 Visualizationbenchflow-ai/skillsbench | 1.8k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Matlab Build Chartmatlab/matlab-agentic-toolkit | 1.1k | — | ~3.5k | Automated safety check: Notes | Custom licence | |
| Ieee Figure TableCloudWave818/ieee-skills | 353 | — | ~1k | Automated safety check: Pass | MIT | |
| Tufte Data Vizcaylent/tufte-data-viz | 222 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Swift Chartsdpearson2699/swift-ios-skills | 1.2k | — | ~3.8k | Automated safety check: Pass | Custom licence |
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matlab/matlab-agentic-toolkit
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Ieee Figure Table
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Tufte Data Viz
caylent/tufte-data-viz
A skill your agent uses when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization.
Swift Charts
dpearson2699/swift-ios-skills
Implement, review, or improve data visualizations using Swift Charts.
Bio Data Visualization Multipanel Figures
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Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in…
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Related
Categories
Questions about Data Visualization
What does Data Visualization do?
Select chart types and design data encodings — marks, axes, labels, and accessible chart styling. Data Visualization is an agent skill from Owl-Listener/designer-skills. Select chart types and design data encodings — marks, axes, labels, and accessible chart styling.
When should I use Data Visualization?
Data Visualization fits situations like: presenting data graphically; tasks that involve Data visualization; tasks that involve Accessibility.
How do I install Data Visualization in Claude Code?
Run `npx skills add Owl-Listener/designer-skills --skill data-visualization -a claude-code`. Or copy the skill folder (ui-design/skills/data-visualization in Owl-Listener/designer-skills) into .claude/skills/data-visualization in your project. Claude Code loads it when a task matches its description.
How do I install Data Visualization in Codex?
Run `npx skills add Owl-Listener/designer-skills --skill data-visualization -a codex`. Or copy the skill folder (ui-design/skills/data-visualization in Owl-Listener/designer-skills) into .agents/skills/data-visualization in your project. Codex loads it when a task matches its description.
Can I use Data Visualization in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Owl-Listener/designer-skills --skill data-visualization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-visualization, .gemini/skills/data-visualization, .github/skills/data-visualization and .opencode/skills/data-visualization in your project.
What does Data Visualization need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Visualization is instructions for the agent only.
Does Data Visualization access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Data Visualization safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Data Visualization use?
Data Visualization is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Data Visualization use?
About 513 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Data Visualization?
Skills that share tags, products or a category with Data Visualization: D3 Visualization (benchflow-ai/skillsbench, 1.8k stars), Matlab Build Chart (matlab/matlab-agentic-toolkit, 1.1k stars), Ieee Figure Table (CloudWave818/ieee-skills, 353 stars) and Tufte Data Viz (caylent/tufte-data-viz, 222 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Visualization?
Owl-Listener (a GitHub user) maintains it in Owl-Listener/designer-skills, which has 2,851 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 5, 2026.
Source: Owl-Listener/designer-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.