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DataPython

Tufte Data Visualization

Tufte Data Visualization is a Data skill for Claude Code, published by caylent in tufte-data-viz.

211 stars8 forkson caylent/tufte-data-vizAdded 2026/09/04Repository updated 2026/02/19

View source on GitHub Download repo ZIP

agent-skillschartjsclaude-codedata-visualizationechartsmatplotlibplotlyrechartstufte

Install in seconds

Install Tufte Data Visualization

Copy Tufte Data Visualization into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/caylent/tufte-data-viz ~/.claude/skills/tufte-data-viz

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/caylent/tufte-data-viz.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: SKILL.md in caylent/tufte-data-viz
Installs to: ~/.claude/skills/tufte-data-viz
Collection: The only skill cataloged from this repository
Category: Data — 729 skills

What Tufte Data Visualization does

Tufte Data Visualization applies Tufte’s chart rules when creating or reviewing charts, graphs, dashboards, and sparklines. Use it for accessible, responsive visualizations with direct labels, minimal chrome, and dark mode support.

Tufte Data Visualization is cataloged under Data on DirSkills. Tufte Data Visualization comes from a repository tagged agent-skills, chartjs, claude-code, data-visualization and echarts.

Documentation

README

Excerpt

Tufte Data Visualization

Apply Edward Tufte's principles whenever generating or reviewing code that renders data visually. This skill covers chart generation, not slide/presentation design.

Workflow

Follow these steps in order when creating any chart:

Step 1: Identify the message

Before writing code, determine:

The key finding or trend the chart must make visible.
The comparison context — a baseline, prior period, target, or peer group. A number without context is meaningless.
The chart type that best fits the data structure (see Chart type guidance below).

Step 2: Apply universal rules

Review the rules below. Every rule is a default — deviate only when the user explicitly requests otherwise.

Step 3: Apply library-specific config

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Tufte Data Visualization

How does Tufte Data Visualization compare to other Data skills?
Tufte Data Visualization ranks #666 by stars among the 729 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Tufte Data Visualization against them. Open each page to compare what they document and how they install.

More Data skills

Tufte Data Visualization is one of 729 Data skills cataloged on DirSkills, ranked #666 by stars among them.

Browse all Data skills →

Benchmark Methodology

Benchmark Methodology scores competitors across nine weighted dimensions using explicit 1–5 rubrics and a tension plot. Use it after competitive-platform-analysis to produce comparable, evidence-anchored profile cards for a competitive report.

Jupyter Notebook

Jupyter Notebook provides a stateful Python REPL via a live Jupyter kernel (hamelnb) so variables persist across executions. Use it for iterative data exploration, API inspection, and complex code development.

Solana

Solana queries wallets, token holdings, transactions, NFTs, whale transfers, and network stats on the Solana blockchain with USD pricing via CoinGecko. Use it when you need to inspect an address, verify a transaction, check token metadata or prices, or monitor network health.