seaborn
Creates Seaborn statistical plots with pandas: distributions, relationships, categorical comparisons, regression displays, pair plots and heatmaps.
- Kind
- Skill
- Works with
- Claude Code, Codex, Cursor, Gemini / Antigravity
- Languages
- Python
- Source
- Scientific Agent Skills (K-Dense) @ 5f2bc0341354
- Path
- skills/seaborn/SKILL.md
- Jobs
- Implementation
- Topics
- Data analysis & BI
Credit
- Made by
- K-Dense-AI
- Original
- github.com/K-Dense-AI/scientific-agent-skills/blob/5f2bc03413…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it by hand, following the source.
gh skill install K-Dense-AI/scientific-agent-skills seaborn
Install factsScanned 2 Nov 2026
- Adds
- .claude/skills/seaborn/ (the skill folder)
- 7 file(s) the skill refers to
- Runs scripts
- Yes
- allowed-tools includes Bash
- shell block in the text
- Uses the network
- Yes
- downloads Python packages
- Needs secrets
- None found
- Source revision
- 5f2bc0341354
- Licence
- MIT
- Last activity
- 26 Oct 2026
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- Only the main file is read; other files in the folder are not scanned
# Seaborn Statistical Visualization ## Overview Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code. ## Environment and Installation Reviewed 2026-10-01 against the current stable [Seaborn 0.13.2 documentation](https://seaborn.pydata.org/api.html) and released source. Native synthetic checks used Python 3.13, Seaborn 0.13.2, Matplotlib 3.11.2, pandas 3.0.6, NumPy 2.5.3, SciPy 1.18.1, and statsmodels 0.15.0. Official docs support Python 3.8+ with mandatory NumPy, pandas, and matplotlib dependencies; scipy, statsmodels, and fastcluster are optional for some advanced statistics and clustering workflows. The tested stack emits upstream pandas Copy-on-Write and Matplotlib deprecation warnings; successful current plots do not guarantee compatibility with future pandas 4 or Matplotlib 3.13. ```bash # Reproducible install for examples in this skill uv pip install "seaborn==0.13.2" # Include optional statistical dependencies when needed uv pip install "seaborn[stats]==0.13.2" ``` …