Menu

Individual skill

colormap-theory

0upvotes

Choosing colormaps scientifically — perceptual uniformity, color-vision deficiency, and matching map to data type.

skills/colormap-theory/SKILL.md

Read pinned source

Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Instructions only
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
56
Repository last updated
Oct 10, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

## Overview

A colormap is a visual encoding function: data value → color. Bad ones
(rainbow/jet) create false structure and hide real structure; good ones
are perceptually uniform and readable by everyone. This skill covers
matching colormap type to data (sequential, diverging, cyclic,
qualitative), perceptual uniformity, color-vision-deficiency safety, and
practical selection in matplotlib, Plotly, and beyond.

## When to use

- Choosing a colormap for a heatmap, contour plot, or 3D surface
- Fixing a figure that uses rainbow/jet
- Encoding signed data (anomalies, differences) with a diverging map
Back to top