Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
8.3
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Data & Analytics
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Exceptional scientific visualization skill with comprehensive coverage of publication-ready figure creation. The description clearly identifies when to use this meta-skill (journal submissions, multi-panel layouts, accessibility requirements). Task knowledge is outstanding with complete workflows, code examples, and detailed best practices for matplotlib/seaborn/plotly. Structure is excellent: SKILL.md provides clear overview and quick starts while properly referencing detailed documentation in other files. The skill demonstrates strong novelty by orchestrating complex publication requirements (journal specs, colorblind palettes, DPI standards, statistical rigor) that would require significant token overhead for a CLI agent to handle independently. Minor improvement possible: could slightly condense some inline examples since detailed versions exist in referenced files, but current balance between accessibility and comprehensiveness is very strong.
K-Dense-AI
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