Library
Seaborn agent skills for Claude Code, Codex and other agents.
- skills
- 46
- Type
- Library
- Website
- seaborn.pydata.org
- Official GitHub
- mwaskom
Seaborn skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills. | zLanqing/ | 4.6k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | 4 mo ago |
| 2 | Create publication figures with matplotlib/seaborn/plotly. An agent skill from mims-harvard/OptimusKG. | mims-harvard/ | 146 | 19 repos | ~6.3k | Automated safety check: Pass | MIT | 16 days ago |
| 3 | 3.Seaborn Statistical visualization with pandas integration. An agent skill from zLanqing/codex-claude-academic-skills. | zLanqing/ | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | 4 mo ago |
| 4 | Audit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-editor workflows… | CloudWave818/ | 353 | — | ~1k | Automated safety check: Pass | MIT | 1 mo ago |
| 5 | Submission-grade Nature/high-impact journal figure workflow for Python or R. | Citrus-bit/ | 120 | 2 repos | ~2.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 6 | Detects a usable Chinese, Japanese or Korean font and configures matplotlib so chart labels, titles and legends render instead of showing empty boxes. | xjtulyc/ | 617 | 1 repo | ~1.3k | Automated safety check: Pass | No licence | 6 mo ago |
| 7 | A skill your agent uses when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. | caylent/ | 222 | — | ~3.5k | Automated safety check: Pass | MIT | 7 mo ago |
| 8 | Build an auditable release-evidence workflow for a desktop or packaged application. | Ali-Marandi/ | 107 | — | ~1.6k | Automated safety check: Pass | MIT | 1 mo ago |
| 9 | Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. | Oleafly/ | 205 | — | ~3.4k | Automated safety check: Notes | MIT | today |
| 10 | 科研绘图智能助手。当用户需要科研绘图、数据可视化、配色建议、期刊风格调整、生成 matplotlib 或 seaborn 绘图代码、或询问某专业领域图表规范时触发。支持多领域与顶刊审美,输出可直接运行的 Python 脚本。 | MrLee2R/ | 112 | — | ~388 | Automated safety check: Pass | MIT | 4 mo ago |
| 11 | Picks the right chart type for a data question and applies readability rules like axis labels, colorblind palettes and legend restraint. | pipeshub-ai/ | 3.8k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 12 | Generates publication-quality scientific figures with matplotlib or seaborn through query expansion, a run-and-retry coding loop and a visual check of the rendered PNG. | lingzhi227/ | 383 | — | ~809 | Automated safety check: Pass | No licence | 7 mo ago |
| 13 | Generates publication-quality figures for ML papers from research context. | Orchestra-Research/ | 13k | 3 repos | ~5.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 14 | Submission-grade Nature/high-impact journal figure workflow for Python or R. | NeuroAIHub/ | 1k | 1 repo | ~1.3k | Automated safety check: Pass | AGPL-3.0 | 5 days ago |
| 15 | Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks. | Mindrally/ | 267 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 16 | Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including… | Tai609/ | 100 | — | ~1.9k | Automated safety check: Pass | Unknown | 1 mo ago |
| 17 | Creates and audits truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. | K-Dense-AI/ | 48k | 1 repo | ~3.9k | Automated safety check: Notes | MIT | 2 days ago |
| 18 | Publication-ready scientific figure design with matplotlib and seaborn. | aiming-lab/ | 15k | — | ~709 | Automated safety check: Pass | MIT | 1 mo ago |
| 19 | 19.Matplotlib Creates and customizes scientific plots with Matplotlib. An agent skill from K-Dense-AI/scientific-agent-skills. | K-Dense-AI/ | 48k | 1 repo | ~4.2k | Automated safety check: Notes | MIT | 2 days ago |
| 20 | 20.Light Figure Light 科研主线第 9 步·图表:图服务论点(每图支撑哪条 claim、删了缺什么)+ 出版级规格(栏宽/字号/色盲安全/ 误差棒+n+显著性)+ 视觉诚实(不偷偷截 y 轴/不双 y 轴伪相关/不 jet-rainbow)+ 渲染后多模态「真看一眼」+ 论文数据图程序化生成绝不 AI 生图。何时用:结果分析做完要画论文图表 / 规划一组图(图清单+预算+反冗余)/ 选图型 /… | Light0305/ | 640 | — | ~4.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 21 | 21.Seaborn Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. | K-Dense-AI/ | 48k | 1 repo | ~3.4k | Automated safety check: Notes | BSD-3-Clause | 2 days ago |
| 22 | Create effective data visualizations with Python (matplotlib, seaborn, plotly). | w95/ | 235 | 2 repos | ~2.8k | Automated safety check: Pass | MIT | 7 mo ago |
| 23 | Build publication-quality figures with matplotlib using the object-oriented Figure/Axes API, constrainedlayout, rcParams customization, TrueType (Type-42) font embedding for journal submission, and… | GPTomics/ | 1.2k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 24 | 24.Copyplot Analyze a supplied scientific-figure image (PNG, JPEG, TIFF, or a rasterized figure), identify its chart type and visual grammar, infer axes and styling, and deliver a close Python/Matplotlib or… | franklee16/ | 223 | — | ~1.8k | Automated safety check: Pass | No licence | 19 days ago |
| 25 | Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly. | DrugClaw/ | 125 | — | ~681 | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 26 | Visualize metagenomic profiles using R (phyloseq, microbiome) and Python (matplotlib, seaborn). | FreedomIntelligence/ | 3.1k | 1 repo | ~1.8k | Automated safety check: Pass | No licence | 2 mo ago |
| 27 | Build clustered heatmaps for expression matrices and other features-by-samples data with rigorous distance/linkage/scaling choices, robust color mapping, optimal leaf ordering, and… | GPTomics/ | 1.2k | 2 repos | ~5.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 28 | 28.Matplotlib A low-level plotting library for comprehensive customization. | aipoch/ | 2k | — | ~3.8k | Automated safety check: Pass | MIT | 20 days ago |
| 29 | Draws TCR/BCR repertoire figures - V-J chord/circos, CDR3 spectratype, clonal-space stratification, clonal tracking across timepoints, rarefaction/extrapolation curves, overlap heatmaps, and… | GPTomics/ | 1.2k | 1 repo | ~3.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 30 | Create publication-quality plots and visualizations using matplotlib and seaborn. | Microck/ | 401 | 2 repos | ~3.8k | Automated safety check: Pass | Unknown | 1 mo ago |
| 31 | Python visual creation and matplotlib/seaborn patterns for PBIR reports. | data-goblin/ | 1k | — | ~2.1k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 32 | Guide for annotating statistical significance (p-value asterisks) on comparison plots. | jaechang-hits/ | 370 | 1 repo | ~3k | Automated safety check: Pass | CC-BY-4.0 | 8 days ago |
| 33 | 33.Seaborn Statistical visualization library integrated with pandas; use it when you need fast EDA of distributions, relationships, and categorical comparisons (e.g., box/violin/pair plots and heatmaps) with… | aipoch/ | 2k | — | ~2.1k | Automated safety check: Pass | MIT | 20 days ago |
| 34 | Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills. | probabl-ai/ | 135 | — | ~785 | Automated safety check: Pass | BSD-3-Clause | yesterday |
| 35 | Interactive scientific visualization with Plotly. An agent skill from jaechang-hits/SciAgent-Skills. | jaechang-hits/ | 370 | 1 repo | ~8.2k | Automated safety check: Pass | MIT | 8 days ago |
| 36 | Low-level Python plotting for scientific figures: publication-quality line, scatter, bar, heatmap, contour, 3D; multi-panel layouts; fine control of every element. | jaechang-hits/ | 370 | 1 repo | ~4k | Automated safety check: Pass | Unknown | 8 days ago |
| 37 | Interactive visualization with Plotly. An agent skill from jaechang-hits/SciAgent-Skills. | jaechang-hits/ | 370 | 1 repo | ~4.5k | Automated safety check: Pass | MIT | 8 days ago |
| 38 | 38.Data Science A skill your agent uses when performing exploratory data analysis, statistical testing, data visualization, or building predictive models. | majiayu000/ | 666 | 1 repo | ~4.3k | Automated safety check: Pass | MIT | today |
| 39 | 将用户的研究描述转换为高质量学术图表,自动推荐最佳图表类型并生成matplotlib/seaborn代码,输出≥300 DPI的PDF/SVG/PNG。 | csmar432/ | 109 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 40 | Visualization type selection matrix by data type and analysis purpose, matplotlib/seaborn/plotly implementation pattern guide. | revfactory/ | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 41 | Publication-quality data visualization with matplotlib, seaborn, and plotly | wentorai/ | 298 | 1 repo | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 42 | Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly. | seb1n/ | 206 | — | ~2k | Automated safety check: Pass | MIT | 1 mo ago |
| 43 | 43.Datavis Create scientific plots and visualizations using matplotlib and seaborn | lamm-mit/ | 244 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 44 | 데이터 유형과 분석 목적에 따른 시각화 유형 선택 매트릭스, matplotlib/seaborn/plotly 구현 패턴 가이드. | revfactory/ | 1.3k | — | ~820 | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 45 | 45.Charting Select the right Python charting library (seaborn, matplotlib, graphviz) and produce publication-quality static visualizations. | oaustegard/ | 150 | — | ~1.5k | Automated safety check: Pass | MIT | 5 days ago |
| 46 | Comprehensive guide to creating effective data visualizations with matplotlib, plotly, seaborn, and D3.js including chart selection frameworks, design principles, and publication-quality output. | FerroxLabs/ | 608 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
Questions, answered from the data.
What is the best Seaborn skill?
Matplotlib from zLanqing/codex-claude-academic-skills ranks first of the 46 Seaborn skills listed here, with the highest score: its repository has 4.6k GitHub stars, 17 other GitHub owners carry a copy, its SKILL.md loads about 2.9k tokens and it passes the automated safety check with no findings. Next come Scientific Visualization and Seaborn.
Is there an official Seaborn skill?
None yet. All 46 Seaborn skills listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.