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Colorblind-friendly palettes and accessible visualization design
Passed 25 of 26 test cases with the skill, and 23 of 26 without it.
3 fixed22 passed either way0 still failing1 broke
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One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need a qualitative colorblind-safe hex palette for a complex categorical chart with up to 12 distinct categories. Which qualitative palette family developed by Paul Tol supports up to 12 distinct hex colors?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies Paul Tol's qualitative palette | Passed | Passed |
| Includes hex code `#332288` | Missed | Passed |
The instructions your model reads when the skill loads.
Design data visualizations that are accessible to colorblind readers and follow best practices for clarity, using tested palettes and encoding principles.
Approximately 8% of males and 0.5% of females have some form of color vision deficiency (CVD). The most common types:
| Type | Prevalence (Male) | Affected Colors | Commonly Confused |
|---|---|---|---|
| Deuteranomaly (green-weak) | 5% | Green | Red and green |
| Protanomaly (red-weak) | 1% | Red | Red and green |
| Deuteranopia (no green) | 1% | Green | Red and green |
| Protanopia (no red) | 1% | Red | Red and green |
| Tritanopia (no blue) | 0.003% | Blue | Blue and yellow |
| Monochromacy | Very rare | All | All colors |
Key takeaway: Never rely solely on a red-green distinction to convey information. About 1 in 12 male readers cannot distinguish them.
Widely recommended for scientific publications:
# Wong's colorblind-friendly palette
wong_palette = {
"black": "#000000",
"orange": "#E69F00",
"sky_blue": "#56B4E9",
"bluish_green":"#009E73",
"yellow": "#F0E442",
"blue": "#0072B2",
"vermillion": "#D55E00",
"reddish_purple":"#CC79A7"
}
test cases passed, vs 23 / 26 without
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