Individual skill
dataviz
Use this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. When the destination is a first-party document connector (host-designated, never self-described) that renders live charts, hand it the rows (inline, or as an uploaded data file the chart cites) rather than a rendered PNG/SVG — a picture of a chart loses hover, data inspection and per-value comments. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file's values for your brand's. Triggers on: "chart", "graph", "plot", "data viz", "visualization", "dashboard", "analytics", "visualize data", "categorical colors", "sequential / diverging palette", "stat tile", "sparkline", "heatmap", "legend", "axis", "tooltip", "chart colors", "color by series".
Anthropic/claude-code/skills/dataviz/SKILL.md
Source commit a2d33761e49b98f6ec1b48f12143264eb9b4ff4f
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Local scripts
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 71,166
- Repository last updated
- Nov 10, 2026
- License
- CC0-1.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- anthropic Repository topic
- chatbot Repository topic
- chatgpt Repository topic
- claude Repository topic
- claude-code Repository topic
- codex Repository topic
- gemini Repository topic
- generative-ai Repository topic
- google Repository topic
- data Derived category
- design Derived category
- marketing Derived category
- writing Derived category
- engineering Derived category
- engineering-web Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 8,618 bytesreferences/anti-patterns.mddoc · 6,363 bytesreferences/choosing-a-form.mddoc · 4,883 bytesreferences/color-formula.mddoc · 8,515 bytesreferences/components.mddoc · 2,305 bytesreferences/interaction.mddoc · 3,741 bytesreferences/marks-and-anatomy.mddoc · 7,213 bytesreferences/palette.mddoc · 9,523 bytesscripts/validate_palette.jsruns · 19,958 bytesscripts/validate_palette.pyruns · 17,684 bytes
Read excerpt
# Data Visualization
A chart is **read by people and executed by you**. This skill turns "make it look
good" into a procedure with checks, so the result is right by construction rather
than by taste.
**The method here is design-system-agnostic.** Nothing in the procedure, the form
heuristic, the six checks, or the mark specs is specific to one product. A design
system supplies a small set of *parameters* (its ramps, a categorical order, a
diverging pair, a status palette, a texture, its surfaces, its filter components);
the method consumes them unchanged. A **validated default palette** is the
reference instance, fully specified in `references/palette.md`. To target your
brand, read that file's structure and substitute its values - touch nothing else.