Apply Edward Tufte's principles to any data visualization, chart, dashboard, or infographic. Use when the user asks to produce, design, critique, or improve a chart, graph, dashboard, KPI tile, table-with-data, sparkline, small multiple, time series, distribution plot, choropleth, or any other visual that communicates quantitative or categorical information. Also triggers on words like "visualize", "viz", "data viz", "chart", "graph", "dashboard", "infographic", "Tufte". Outputs Tufte-compliant designs in either self-contained HTML/SVG or React (Recharts/D3). Defaults to Tufte rules; user can opt out per chart.
npx skills add https://github.com/aref-vc/tufte-claude-skill --skill tufte
This skill turns "make me a chart" into a Tufte-compliant chart. Distilled from *The Visual Display of Quantitative Information* (1983/2001), *Envisioning Information* (1990), and *Visual Explanations* (1997).
Two output stacks, selected by the user's project context:
When invoked, work through these in order:
principles.md — 10 rules, one paragraph each. The whole frame.chart-selection.md to pick the chart type from the user's data and goal. Don't reach for a chart you know; reach for the one this table prescribes.kill-list.md before rendering — strip the things that don't belong in any Tufte-compliant chart.before-after.html when the user wants to see the difference. Six side-by-side examples covering the cases AI tools default to badly.report-voice.md when the output is a report, recap, or slide with prose around the chart. The writing can ruin a clean chart. Plain business English, no em-dashes, no AI slop.checklist.md before declaring the chart done. Twenty items, takes 30 seconds.For a quick lookup, cheatsheet.html (and cheatsheet.pdf) is the one-page reference.
Tufte rules apply by default. If the user explicitly requests something on the kill list ("I need a pie chart for this board deck because the CFO wants one"), comply, but note the Tufte alternative in a one-line comment in the code or the response.
When the output is a report, recap, or slide, the text matters as much as the
chart. Write plain business English: no em-dashes, no drama or theatrics, no hype
verbs, no AI-slop jargon. Name every label and caption for the specific case, not
a placeholder. First the number, then what it means. See report-voice.md for
the full kill/keep list. A clean chart wrapped in slop reads as slop.
These are not in any Tufte-compliant chart unless the user explicitly overrides:
These belong in most Tufte charts:
--accent red), actually applied to the focal data point — not declared and left unused. Minimal ink is not the same as no signal. If nothing carries the accent, the chart is flat; pick the point the reader should look at and color it.| File | Purpose |
|---|---|
| principles.md | Tufte's 10 rules with practical interpretation |
| chart-selection.md | Data + goal → chart type decision table |
| kill-list.md | What to remove from any chart |
| before-after.html | Six side-by-side comparisons (open in browser) |
| report-voice.md | Prose rules for reports/recaps/slides (no slop, no em-dashes) |
| checklist.md | 20-item pre-publish check |
| cheatsheet.html | One-page printable reference |
| cheatsheet.pdf | Same, as PDF |
| presets/html-svg.md | Style tokens + a working SVG bar chart, line chart, sparkline, small multiple |
| presets/react.md | Recharts theme + D3 patterns for slopegraph, sparkline-in-table, small multiples |
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take aref-vc/tufte from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.