Data Visualization
Produce a chart, graph, dashboard, or any data visualization that reads as one system — elegant, accessible, and consistent in light and dark — BRAND-NEUTRAL…
Skill by justinlietz93
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/justinlietz93-data-visualization
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: design, data, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/data-visualization
What's inside
- Skill name
Data Visualization- Description
- Produce a chart, graph, dashboard, or any data visualization that reads as one system — elegant, accessible, and consistent in light and dark — BRAND-NEUTRAL, shipping a placeholder palette to swap for your own. Read this BEFORE generating ANY chart (bar, line, area, heatmap, scatter, sparkline, donut), choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. Teaches a design-system-AGNOSTIC method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. The method is invariant; a design system plugs in its own ramps and surfaces. 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", "dashboard", "analytics", "visualize data", "categorical colors", "sequential / diverging palette", "stat tile", "sparkline", "heatmap", "legend", "axis", "tooltip", "chart colors", "color by series".
- License
- MIT
- Instructions
- 112 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "Data Visualization" does not match folder "dataviz"
Files (10)
- SKILL.md
- anti-patterns.md · references/
- choosing-a-form.md · references/
- color-formula.md · references/
- components.md · references/
- interaction.md · references/
- marks-and-anatomy.md · references/
- palette.md · references/
- validate_palette.js · scripts/
- validate_palette.py · scripts/
SKILL.md (first lines)
# 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. > The single most important habit: **the color part is computable, so compute it.** > Never eyeball whether a palette is colorblind-safe — run `scripts/validate_palette.js`. ## The procedure — do these in order Color comes LAST. Most bad charts pick colors first. 1. **Pick the form.** What is the data's job — magnitude, identity, polarity, a single headline, change-over-time? The job picks the chart type, and sometimes the answer is *not a chart* (a stat tile or hero number). → `references/choosing-a-form.md` 2. **Assign color by the job it does.** Categorical (identity), sequential (magnitude), diverging (polarity), or status (state) — each has one rule. Assign categorical hues in fixed order, never cycled. → `references/color-formula.md` 3. **VALIDATE the palette — run the script, don't reason about ΔE.** `node scripts/validate_palette.js "<hex,hex,…>" --mode light` (relative to this skill's base directory — or load it as `<script type="module">` in the chart's own page, where it reads `data-palette` off `<body>` and logs a `console.table` report). It returns pass/fail on the lightness band, chroma floor, adjacent-pair CVD separation, the normal-vision floor, and contrast. Fix anything that FAILs before continuing. Re-run for `--mode dark` with that mode's surface. 4. **Apply mark specs & spacers.** Thin marks, 4px rounded data-ends anchored to the baseline, 2px lines, ≥8px markers, a 2px surface gap between fills (stacked segments and adjacent bars alike) and a 2px surface ring on overlapping marks, selective direct labels. → `references/marks-and-anatomy.md` 5. **Add the hover layer — by default.** An HTML/SVG chart *is* interactive; ship a crosshair+tooltip on line/area and a per-mark hover tooltip on bar/dot/cell. The only form that skips it is a bare stat tile with no plot. Hit targets bigger than the mark; filters in one row above the charts. → `references/interaction.md` 6. **Final accessibility pass.** For ≥ 2 series a legend is always present and ≤ 4 are also direct-labeled (a single series needs no legend box — the title names it), so identity is never color-alone; a table view exists; dark mode is **selected** — its own steps from the same ramps, validated against the dark surface, not an automatic flip; texture is available for the CVD/print/forced-colors case. 7. **Render it and look at it.** The validator checks color, not layout — open or screenshot the output and eyeball it for label collisions, geometry, and overflow before calling it done. Then check the result against **`references/anti-patterns.md`** — it is the catalog of what goes wrong. If your chart matches an entry, it's wrong. ## Non-negotiables (true in every design system) - **Assign categorical hues in fixed order, never cycled.** A 9th series is never a generated hue — it folds into "Other," small multiples, or composite encoding. - **One axis.** Never a dual-axis chart (two y-scales). Two measures of different scale → two charts, small multiples, or indexed to a common base. *(This is the #1 chart mistake — see anti-patterns.)* - **Color follows the entity, never its rank.** A filter that changes the series count must not repaint the survivors. - **Sequential = one hue, light→dark. Diverging = two hues + a neutral gray midpoint.** Never a rainbow; never a hue at the diverging midpoint. - **Run the validator before shipping any categorical palette.** CVD ΔE ≥ 8 is the target (OKLab ×100); 6–8 is a floor that is legal ONLY with secondary encoding. A normal-vision floor below 15 is a hard FAIL — full-color readers can't tell the pair apart; re-step it on the adjacent pairlist (secondary encoding does not excuse this one); under `--pairs all` cut series or facet instead — see check 4. A contrast WARN obligates visible labels or a table view — it is not dismissable. - **Thin marks; a legend always present for ≥ 2 series (none for one), with selective direct labels (never a number on every point); recessive grid/axes.** - **Text wears text tokens, never the series color** — values, labels, and legends stay in primary/secondary/muted ink; a colored mark beside them carries identity. - **Status colors are reserved** (good/warning/serious/critical) and never reused for "series 4"; they ship with an icon + label, never color alone. ## Plugging in a design system The method is invariant; only these parameters change per system. The reference instance — every value filled in — is `references/palette.md`. | Parameter | What the system provides | |---|---| | **Ramps** | the hue scales (named steps) the palette draws from | | **Categorical theme** | the fixed hue order (a named theme); default + alternates | | **Sequential hue** | the default single hue for magnitude | | **Diverging pair** | two warm/cool poles + a neutral midpoint | | **Status palette** | good / warning / serious / critical — steps distinct from categorical | | **Texture fill** | one directional hand-drawn fill, used at 45° / 135° | | **Surfaces** | light & dark chart-surface colors (the validator needs these) | | **Filter controls** | date-range & dimension controls (behavioral spec in `interaction.md`) | To onboard a new system: fill those rows, feed its ramps to the validator, and let it snap each slot to the nearest passing step. Structure and rules stay as written. ## Reference files | File | What it answers | |------|-----------------| | `references/choosing-a-form.md` | Which chart type / is it even a chart? | | `references/color-formula.md` | The four jobs, the six checks, snap-to-passing | | `references/marks-and-anatomy.md` | Mark specs, spacers, labels, figures, hero number | | `references/interaction.md` | Tooltips & hover, filters & time ranges | | `references/components.md` | The pieces a chart is made of — build each in plain HTML | | `references/anti-patterns.md` | **What goes wrong — check every chart against this** | | `references/palette.md` | **The reference palette instance** — every parameter, filled in; swap for your brand's | | `scripts/validate_palette.js` | Runnable six-checks validator (run it; don't eyeball) |
From justinlietz93/Perfect_Prompts, MIT.
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Signals
- Stars
- 23
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Aug 24, 2026 (2 months ago)
- Last release
- Aug 22, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/justinlietz93/Perfect_Prompts
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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Push a React design system to claude.ai/design.
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Cite this page
Data Visualization skill. Agent Mart. https://agentmart.dev/skills/justinlietz93-data-visualization (last updated 2026-10-24)