Seaborn Statistical Plots
Creates statistical visualizations in matplotlib with native pandas support.
Test report
- Verdict
- In test queue
- Tested
- —
- Environment
- Pending
In the test queue — machine-screened (validator 85/100, 226★ repo), full install/trigger/output test scheduled.
What Seaborn Statistical Plots does
Statistical visualization on matplotlib with native pandas support. Auto aggregation, CIs, grouping for distributions (histplot, kdeplot), categorical (boxplot, violinplot), relational (scatterplot, lineplot), regression (regplot, lmplot), matrix (heatmap, clustermap), grids (pairplot, FacetGrid). Use for quick statistical summaries; matplotlib for fine control; plotly for interactive HTML.
How to install Seaborn Statistical Plots
git clone https://github.com/jaechang-hits/SciAgent-Skills
cp -r SciAgent-Skills/skills/data-visualization/seaborn-statistical-plots ~/.claude/skills/seaborn-statistical-plots
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Seaborn Statistical Plots
-
/seaborn-statistical-plotsCreates statistical visualizations in matplotlib with native pandas support.
It also activates on plain-language prompts like these:
-
Plot a boxplot comparing these treatment groups -
Make a correlation heatmap from this dataframe -
Create a regression plot with confidence intervals
Frequently asked questions
- Is the Seaborn Statistical Plots skill free?
- Yes. The skill itself is free from jaechang-hits/SciAgent-Skills. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Seaborn Statistical Plots work with Claude Code?
- It is in our test queue — we run every skill on real work before issuing a verdict, and this one is scheduled.
- How do I install Seaborn Statistical Plots?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Seaborn Statistical Plots with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.