data-viz

Installation
SKILL.md

Data Viz (honest, web-native, Tufte)

Make web-native charts with honest marks: tokenized, responsive, accessible. Reuse type, spacing, surface, color tokens; one accent adds craft but never competes with data. Use Tufte tooling when present.

Decision order

  1. State comparison question, source/grain, missingness, and uncertainty.
  2. Prefer a table for small exact lookup; chart shape, change, or comparison.
  3. Encode honestly (zero-baseline bars; 1-D length/position; lie factor ≈1), direct-label, and remove non-data ink.
  4. Provide tokenized, responsive, contrast-safe chart/table parity; keep data keyboard reachable.

Data quality

Before genre, record question, unit, time grain, source, and absent status. A missing month can mean zero, not observed, suppressed, not applicable, or not yet reported; these states cannot share a mark, line, or cell treatment.

Installs
11
GitHub Stars
12
First Seen
Jun 22, 2026