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Seaborn Statistical Plots

Makes the agent build statistical charts from DataFrames with Seaborn, using explicit aggregation and uncertainty handling.

Source Download skill
Repository
K-Dense-AI/scientific-agent-skills
Stars
55,780
Licence
MIT
Files
8 files

What it does

Seaborn is a Python plotting library for statistical graphics. With this skill installed, the agent knows Seaborn's function and objects interfaces, how to structure data for it, and how to produce distribution, relationship, categorical, regression, pair, and heatmap plots from pandas DataFrames. It also guides the agent toward explicit handling of aggregation, confidence intervals, and missing data, and to recommend plotly for interactive figures or a separate styling skill for publication formatting.

Great for

  • Analysts who want quick exploratory charts from a CSV or DataFrame
  • Python developers building statistical plots in notebooks or scripts
  • Students learning how to visualize distributions and relationships

Skip it if

  • Interactive dashboards, which the skill says are better handled by plotly (static plots only)
  • Sensitive or regulated data if the agent loads public datasets without review, since sns.load_dataset() downloads files from the internet; load local files with pandas instead

Try asking

  • “Make a scatterplot of total_bill vs tip colored by day from my DataFrame”
  • “Create a pair plot and a correlation heatmap for this survey data”
  • “Compare distributions across groups with violin plots and show confidence intervals”
Step-by-step guide: how to use Seaborn Statistical PlotsInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 8 original files, the MIT licence and an attribution note.

    seaborn.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip seaborn.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip seaborn.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Give the agent a local DataFrame or file for private data so no dataset download occurs
  • Ask for the aggregation and confidence interval method explicitly so results are reproducible
  • Pin the seaborn version (0.13.2) as the skill recommends, and check plots before sharing them

What's inside

  • references/examples.md
  • references/function_reference.md
  • references/grids_and_levels.md
  • references/objects_interface.md
  • references/palettes_and_theming.md
  • references/patterns_and_troubleshooting.md
  • references/plotting_functions.md
  • SKILL.md

Redistributed unmodified from K-Dense-AI/scientific-agent-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.