Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG.

Apache-2.0Auto-check passedData & Analytics

Install Datavis

skills CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill datavis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install foryourhealth111-pixel/Vibe-Skills datavis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/datavis .claude/skills/datavis && rm -rf skills-src

Use ~/.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/

Facts

Skill name
datavis
GitHub stars
3.6k
Token cost
~1.1k tokens
SKILL.md length
251 words
Files
4 (incl. scripts)
Skills in repo
81
Repo updated
First seen
Licence
Apache-2.0

At a glance

Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG.

  • Works in 5 steps: Visual Encoding → Color Design → D3.js Patterns → …
  • Building interactive data visualizations
  • SKILL.md covers Philosophy: "Life is Beautiful", Core Capabilities, Scripts and Anti-Patterns to Avoid, plus 1 more section
  • Runs Python scripts from its folder

What it does

Datavis is an agent skill from foryourhealth111-pixel/Vibe-Skills. Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG. Use when (1) building interactive data visualizations, (2) designing color palettes for charts, (3) choosing scales and visual encodings, (4) creating data pipelines from Census/SEC/Wikipedia APIs, (5) crafting narrative-driven data stories, (6) making perceptually accurate charts, or (7) implementing force-directed networks, timelines, or geographic maps.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/analyze-distribution.py`, `scripts/color-palette.py` and `scripts/d3-scaffold.py`).

It sits in Data & Analytics, covering Data visualization, Theming and dark mode and Data pipelines and ETL. It works with D3.js, Chart.js and Wikipedia. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is Apache-2.0.

When your agent uses it

  • Building interactive data visualizations
  • Designing color palettes for charts
  • Choosing scales and visual encodings
  • Creating data pipelines from Census/SEC/Wikipedia APIs

Example prompts

  • “/datavis”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Visual Encoding
  2. Color Design
  3. D3.js Patterns
  4. Narrative Structure
  5. Data Pipeline

What it can do on your machine

Read from SKILL.md and the folder at commit ddcaa2a. 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

    Ships 3 files in scripts/ (Python), which the agent can run.

    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

Datavis loads about 1.1k tokens when it runs. Until then it costs about 127 tokens; SKILL.md has 251 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~127
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its Apache-2.0 licence (© foryourhealth111-pixel). 251 words, ~1,146 tokens.

Download SKILL.mdSave it as .claude/skills/datavis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
datavis
description
Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG. Use when (1) building interactive data visualizations, (2) designing color palettes for charts, (3) choosing scales and visual encodings, (4) creating data pipelines from Census/SEC/Wikipedia APIs, (5) crafting narrative-driven data stories, (6) making perceptually accurate charts, or (7) implementing force-directed networks, timelines, or geographic maps.

Data Visualization Skill

Create beautiful, mathematically elegant, emotionally resonant data visualizations.

Philosophy: "Life is Beautiful"

Every visualization should:

  1. Reveal truth through data
  2. Evoke wonder through design
  3. Respect the viewer through accessibility
  4. Honor complexity through elegant simplification

Core Capabilities

1. Visual Encoding

Scale Selection:

ScaleUse WhenExample
LinearEvenly distributed dataTemperature
LogMultiple orders of magnitudePopulation (100 to 1B)
SqrtEncoding area (circles)Bubble chart radius
TimeTemporal dataDates

Perceptual Honesty - Area scales with square of radius, so use sqrt:

javascript
// WRONG: Linear radius exaggerates large values
const badScale = d3.scaleLinear().domain([0, max]).range([0, maxRadius]);

// RIGHT: Sqrt maintains perceptual accuracy
const goodScale = d3.scaleSqrt().domain([0, max]).range([0, maxRadius]);
2. Color Design

Palette Types:

  • Categorical - Distinct hues for nominal data (max 8)
  • Sequential - Single hue gradient for ordered data
  • Diverging - Two hues meeting at meaningful midpoint

Colorblind-Safe Palette (8 colors):

javascript
const colorblindSafe = [
  '#332288', '#117733', '#44AA99', '#88CCEE',
  '#DDCC77', '#CC6677', '#AA4499', '#882255'
];

Always use redundant encoding - don't rely on color alone:

javascript
node.attr('fill', d => colorScale(d.category))
    .attr('d', d => symbolScale(d.category)); // Shape too!
3. D3.js Patterns

Force Simulation:

javascript
const simulation = d3.forceSimulation(nodes)
  .force('charge', d3.forceManyBody().strength(-300))
  .force('link', d3.forceLink(links).id(d => d.id))
  .force('center', d3.forceCenter(width/2, height/2))
  .force('collision', d3.forceCollide().radius(d => d.r + 2));

Responsive SVG:

javascript
const svg = d3.select('#chart')
  .append('svg')
  .attr('viewBox', `0 0 ${width} ${height}`)
  .attr('preserveAspectRatio', 'xMidYMid meet');

Touch-Friendly (44x44px minimum):

javascript
node.append('circle')
  .attr('class', 'hit-area')
  .attr('r', Math.max(actualRadius, 22))
  .attr('fill', 'transparent');
4. Narrative Structure

Three Acts:

  1. Invitation - What draws viewer in? Why should they care?
  2. Discovery - What patterns emerge? What surprises?
  3. Reflection - What should they feel/understand/do?

Progressive Disclosure:

Level 1: Overview → Level 2: Exploration → Level 3: Detail → Level 4: Context
5. Data Pipeline

Structure:

scripts/
├── 01_fetch_raw.py    # API calls with caching
├── 02_clean_data.py   # Transformation
├── 03_validate.py     # Quality checks
└── 04_export.py       # Final format

Source Documentation (every dataset needs):

  • URL, access date, update frequency
  • License and confidence level
  • Field descriptions and limitations

Scripts

Generate Color Palette
bash
scripts/color-palette.py --type sequential --hue blue --steps 9
scripts/color-palette.py --type categorical --count 6 --colorblind-safe
scripts/color-palette.py --type diverging --low red --high blue
Analyze Data Distribution
bash
scripts/analyze-distribution.py data.csv --column value
# Outputs: min, max, skew ratio, recommended scale
Scaffold D3 Project
bash
scripts/d3-scaffold.py my-viz --type force-network
scripts/d3-scaffold.py my-viz --type timeline
scripts/d3-scaffold.py my-viz --type choropleth

Anti-Patterns to Avoid

  • 3D charts (distorts perception)
  • Pie charts with >6 categories
  • Dual y-axes
  • Rainbow color scales (perceptually uneven)
  • Truncated y-axes without disclosure
  • Animation without purpose

Quality Checklist

  • Scale choice justified for data distribution
  • Color palette is colorblind-safe
  • Minimum 44x44px touch targets
  • Clear entry point for viewer
  • Sources documented
  • Responsive on mobile

© foryourhealth111-pixel, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts) in bundled/skills/datavis of foryourhealth111-pixel/Vibe-Skills.

  • SKILL.md
  • scripts/analyze-distribution.py
  • scripts/color-palette.py
  • scripts/d3-scaffold.py

Open the folder on GitHubat commit ddcaa2a

Compare with similar skills

Datavis 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.

Datavis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Datavis this skillforyourhealth111-pixel/Vibe-Skills3.6k—~1.1kAutomated safety check: PassApache-2.0
Tufte Data Vizcaylent/tufte-data-viz223—~3.5kAutomated safety check: PassMIT
Chart Selectorrevfactory/harness-1001.3k—~1.1kAutomated safety check: PassApache-2.0
D3 Vizcalesthio/OpenMontage66k3 repos~5.4kAutomated safety check: PassAGPL-3.0
Nspl Developmentpityka/nspl101—~4.1kAutomated safety check: PassMIT
Agent D3js SkillDokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI508—~753Automated safety check: PassCustom licence

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Questions about Datavis

What does Datavis do?

Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG. Datavis is an agent skill from foryourhealth111-pixel/Vibe-Skills.js, and custom SVG.

When should I use Datavis?

Datavis fits situations like: building interactive data visualizations; designing color palettes for charts; choosing scales and visual encodings; creating data pipelines from Census/SEC/Wikipedia APIs.

How do I install Datavis in Claude Code?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill datavis -a claude-code`. Or copy the skill folder (bundled/skills/datavis in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/datavis in your project. Claude Code loads it when a task matches its description.

How do I install Datavis in Codex?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill datavis -a codex`. Or copy the skill folder (bundled/skills/datavis in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/datavis in your project. Codex loads it when a task matches its description.

Can I use Datavis 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 foryourhealth111-pixel/Vibe-Skills --skill datavis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datavis, .gemini/skills/datavis, .github/skills/datavis and .opencode/skills/datavis in your project.

What does Datavis need to run?

Going by SKILL.md and its folder, Datavis needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Datavis 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 Datavis 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Datavis use?

Datavis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Datavis use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 Datavis?

Skills that share tags, products or a category with Datavis: Tufte Data Viz (caylent/tufte-data-viz, 223 stars), Chart Selector (revfactory/harness-100, 1.3k stars), D3 Viz (calesthio/OpenMontage, 66k stars) and Nspl Development (pityka/nspl, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Datavis?

foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.

Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.