data-viz-plots
This skill provides ready-to-use Python code templates for creating publication-quality scientific plots using matplotlib and seaborn. It covers common visualization types like scatter plots, heatmaps, violin plots, and volcano plots with specific styling recommendations for academic papers.
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 starlitnightly-omicverse-data-viz-plots
Repository
Skill path: .claude/skills/data-viz-plots
This skill provides ready-to-use Python code templates for creating publication-quality scientific plots using matplotlib and seaborn. It covers common visualization types like scatter plots, heatmaps, violin plots, and volcano plots with specific styling recommendations for academic papers.
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: Starlitnightly.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install data-viz-plots into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding data-viz-plots to shared team environments
- Use data-viz-plots for data workflows
Works across
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Sub-skills: 0.
Aggregator: No.