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scientific-visualization

8.7

by davila7

115Favorites
307Upvotes
0Downvotes

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

visualization

8.7

Rating

0

Installs

Data & Analytics

Category

Quick Review

Exceptional scientific visualization skill with comprehensive coverage of publication-quality figure creation. The SKILL.md provides crystal-clear guidance for creating journal-ready plots with excellent practical examples, code snippets, and workflow instructions. Task knowledge is outstanding with detailed coverage of matplotlib/seaborn/plotly, colorblind-safe palettes, multi-panel layouts, and journal-specific requirements. Structure is logical and well-organized with quick start guides, core principles, common tasks, and extensive cross-references to supporting files. The skill demonstrates strong novelty by consolidating specialized domain knowledge (journal requirements, accessibility standards, export specifications) that would require significant research and token usage for a CLI agent to replicate. Minor deduction in novelty as some matplotlib/seaborn operations are relatively straightforward, though the publication-specific requirements and quality standards add substantial complexity. Very high confidence due to thorough documentation and clear practical value.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

18,073
1,635
132
71
Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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davila7

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