scientific-visualization
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.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install bbgnsurftech-claude-skills-collection-scientific-visualization
Repository
Skill path: community/individual-skills/claude-scientific-skills/scientific-skills/scientific-visualization
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.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: BbgnsurfTech.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install scientific-visualization into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/BbgnsurfTech/claude-skills-collection before adding scientific-visualization to shared team environments
- Use scientific-visualization for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.