scientific-color-maps
scientific-color-maps is a Scientific data analysis & plotting skill for AI agents, published by DoiiarX in the claude-skills repository on GitHub. Skillspace rates scientific-color-maps C (79/100) and it passed the safety scan; the rating is based on static analysis only.
Select, implement, and audit scientifically accurate, perceptually uniform, and color-vision-accessible color maps for data visualization. Use when creating or reviewing plots, heatmaps, maps, scalar fields, probability bars, progress indicators, scientific figures, dashboards, or visualization code; when choosing a palette or deciding whether hue changes carry real meaning; when replacing rainbow, jet, turbo, arbitrary low-medium-high colors, or red-green scales; or when checking grayscale readability, color blindness, color bars, normalization, and possible visual distortion. Also trigger on British spellings such as colour, colour map, and colour-vision deficiency.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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