菜单
Build publication-ready figures in Python with matplotlib's object-oriented Figure/Axes API, seaborn integration, Type-42 fonts, CVD-safe palettes, and rasterized point layers.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Load BioMaster as one integrated skill-driven bioinformatics assistant.
BioMaster conversational bioinformatics assistant; starts workflows only after execution intent or empty activation.
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
Ligand-receptor communication inference in single-cell or spatial data with sender-receiver summaries and cautious interpretation.
Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.
Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready spatial maps.
| name | bioskills-matplotlib-fundamentals |
| description | Build publication-ready figures in Python with matplotlib's object-oriented Figure/Axes API, seaborn integration, Type-42 fonts, CVD-safe palettes, and rasterized point layers. |
| domain | single-cell |
| primary_tool | matplotlib |
| methods | ["matplotlib","seaborn","numpy","pandas"] |
| macro_tags | ["data-visualization","publication-figures","matplotlib","figure-export"] |
| micro_tags | ["matplotlib","seaborn","numpy","pandas","rcparams","configuration","fonts","version-check","figure","axes","subplots","constrained-layout","figsize","scatter","line","bar","boxplot","histogram","heatmap","rasterization","axes-level","facetgrid","objects-grammar","axis-formatting","ticks","scales","color-palette","cvd-safe","diverging","savefig","export","pdf","png","tiff","svg","dpi","troubleshooting","layout","debugging"] |
| source | bioskills-matplotlib-fundamentals |
| status | active |
| enabled | true |
