Matplotlib · For data scientists

Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps.

K-Dense-AI/scientific-agent-skills

Create effective data visualizations with Python (matplotlib, seaborn, plotly).

w95/awesome-claude-corporate-skills

Creates effective data visualizations using various libraries and tools, with focus on clarity and insight communication.

ynulihao/AgentSkillOS

Correctness and legibility checklist for publication figures, plus a matplotlib sidecar.

xuzhougeng/wisp-science

Visualize copy number profiles, segments, allele-specific tracks, and cohort patterns from CNVkit, GATK, ASCAT, FACETS, Sequenza, and other callers.

GPTomics/bioSkills

Select colormaps and qualitative palettes for scientific figures using perceptual-uniformity, color-vision-deficiency safety, and luminance-monotonicity criteria.

GPTomics/bioSkills

Build Manhattan, Miami, QQ, and locuszoom-style regional plots from GWAS, TWAS, PWAS, and QTL summary statistics with correct genomic-inflation diagnostics, multi-trait overlays, lead-SNP labeling…

GPTomics/bioSkills

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/bioSkills

Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in…

GPTomics/bioSkills

Visualize biological networks (PPI, gene-regulatory, co-expression, pathway) with layout algorithm choice (ForceAtlas2, Fruchterman-Reingold, Kamada-Kawai, hive plots), edge bundling…

GPTomics/bioSkills

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/academic-research-skills

Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly.

DrugClaw/DrugClaw

Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions

agiprolabs/claude-trading-skills

Visualize metagenomic profiles using R (phyloseq, microbiome) and Python (matplotlib, seaborn).

FreedomIntelligence/OpenClaw-Medical-Skills

Build volcano and MA plots from differential-expression / association results with LFC shrinkage, FDR-adjusted thresholds, sensible label placement, and axis-truncation conventions.

GPTomics/bioSkills

A low-level plotting library for comprehensive customization.

aipoch/medical-research-skills

Renders Hi-C contact matrices honestly and reproducibly with matplotlib, cooltools, HiCExplorer, pyGenomeTracks, FAN-C, CoolBox, and plotgardener.

GPTomics/bioSkills

Draw and export phylogenetic trees with Bio.Phylo plus matplotlib, and route rich figures to ggtree, ETE4, or iTOL.

GPTomics/bioSkills

Exports publication-ready figures with the correct vector/raster split, embedded editable fonts, color-space-robust palettes, and journal-correct sizing and resolution in matplotlib and ggplot2.

GPTomics/bioSkills

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/bioSkills

Create publication-quality plots and visualizations using matplotlib and seaborn.

Microck/ordinary-claude-skills

Python visual creation and matplotlib/seaborn patterns for PBIR reports.

data-goblin/power-bi-agentic-development

Guide for annotating statistical significance (p-value asterisks) on comparison plots.

jaechang-hits/SciAgent-Skills

Access Our World in Data from Python with the owid-catalog library: load chart data, catalog tables or individual indicators as pandas DataFrames that carry their own units, descriptions, sources…

owid/etl

Use Bio.Phylo to read/write phylogenetic trees and perform visualization and statistics; use when tree parsing/conversion, pruning/rerooting, distance calculation, or plotting is required.

aipoch/medical-research-skills

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/medical-research-skills

Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills.

probabl-ai/skills

数据可视化的判断层 SSOT——画任何图表、dashboard、看板之前先加载它，不是画完之后。管"该不该这么画"：这张图想让读者得出什么结论、用均值还是中位数、能不能聚合、堆叠还是折线、能不能上双轴、配色与颜色数量、同一实体跨图是否同色同位、表格该留几列。介质无关：HTML 报告页、React/Vue dashboard、PPT…

daymade/claude-code-skills

A skill your agent uses when visualising drone simulation results.

benchflow-ai/skillsbench

Visualize copy number profiles, segments, and compare across samples.

FreedomIntelligence/OpenClaw-Medical-Skills

Interactive scientific visualization with Plotly. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

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/SciAgent-Skills

Graph and network analysis toolkit. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Interactive visualization with Plotly. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

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/finai-research

Visualization type selection matrix by data type and analysis purpose, matplotlib/seaborn/plotly implementation pattern guide.

revfactory/harness-100

Publication-quality data visualization with matplotlib, seaborn, and plotly

wentorai/research-plugins

Create, review, and restyle data visualizations using Edward Tufte principles: high data-ink ratio, direct labels, range-frame axes, small multiples, accessible color, responsive charts, and honest…

Mathews-Tom/armory

A skill your agent uses when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses.

VectorSpaceLab/AREX-Skill

Common pandas and matplotlib patterns for data analysis and visualization

langchain-ai/docs

MANDATORY whenever a task involves training, fine-tuning, tuning, or evaluating a machine-learning model on data (tabular, time series, text, images — any modality).

hashgraph-online/awesome-codex-plugins

Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly.

seb1n/awesome-ai-agent-skills

Create scientific plots and visualizations using matplotlib and seaborn

lamm-mit/scienceclaw

데이터 유형과 분석 목적에 따른 시각화 유형 선택 매트릭스, matplotlib/seaborn/plotly 구현 패턴 가이드.

revfactory/harness-100