omicverse-visualization-for-bulk-color-systems-and-single-cell-d

Automate OmicVerse plotting workflows for bulk and single-cell data with Forbidden City palettes.

32|5|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/omicverse/omicclaw --skill omicverse-visualization-for-bulk-color-systems-and-single-cell-d-omicverse
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: omicverse-visualization-for-bulk-color-systems-and-single-cell-d
Source: https://github.com/omicverse/omicclaw/tree/main/src/omicverse_skills/skills/plotting-visualization
Command: npx skills add https://github.com/omicverse/omicclaw --skill omicverse-visualization-for-bulk-color-systems-and-single-cell-d-omicverse

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OmicVerse plotting workflows for bulk and single-cell data are feature-rich but challenging to reproduce consistently; this skill provides guided plotting routines and a unified color system to streamline figure generation.

Core Features & Use Cases

  • Unified plotting toolkit supporting bulk and single-cell analyses, including volcano, venn, boxplot, embeddings, density plots, dotplots, convex hulls, and stacked bar charts.
  • Color management with Forbidden City palettes to ensure consistent aesthetics across figures and projects.
  • Embedding enhancements and utilities such as density overlays, gene-density visuals, cell-type proportions, and polygonal region highlights.
  • Quick-start templates and step-by-step workflows to reproduce OmicVerse plotting tutorials and customize visuals for publication.

Quick Start

Set up the plotting environment with ov_plot_set, load your data with ov.read, and generate bulk and single-cell figures using the built-in plotting helpers and Forbidden City color palettes.

Frequently Asked Questions about omicverse-visualization-for-bulk-color-systems-and-single-cell-d

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I plot single-cell embeddings and density overlays consistently?

To plot single-cell embeddings and density overlays consistently, use OmicVerse plotting functions with Forbidden City palettes. This skill automates applying ov.pl helpers and defensive checks for embeddings and cluster columns to ensure unified aesthetics across figures.

What is the best way to generate volcano plots and Venn diagrams for bulk data?

Generate volcano plots and Venn diagrams for bulk data by applying OmicVerse visualization workflows. This skill provides step-by-step plotting routines and a unified color system to streamline figure generation across bulk and single-cell analyses.

Can I use Forbidden City color palettes for both bulk and single-cell visualizations?

Yes, you can use Forbidden City color palettes for both bulk and single-cell visualizations. The skill automates color management with these palettes to ensure consistent aesthetics across projects, applying them to dotplots, convex hulls, and stacked bar charts.

Does OmicVerse plotting require specific data loading steps before generating figures?

OmicVerse plotting requires loading datasets with ov.read and setting up the environment with ov_plot_set before generating figures. This skill validates inputs and performs defensive checks for embeddings and cluster columns during the visualization workflow.

Why does my single-cell embedding plot fail during cluster visualization?

Single-cell embedding plots fail when embeddings or cluster columns are missing or invalid. This skill performs defensive checks on these inputs before applying ov.pl plotting functions, ensuring data integrity before figure generation.

How do I customize gene-density visuals and cell-type proportions in single-cell plots?

Customize gene-density visuals and cell-type proportions in single-cell plots using OmicVerse embedding enhancements. This skill automates generating density overlays, polygonal region highlights, and stacked bar charts with consistent Forbidden City palettes.