“Data visualization”

Use when turning content into clear strategy-consulting visualizations, including board slides, reports, diagrams, quiet animated decks, or explicit dynamic…

Produces bar-chart, heat-map, and frequency chart assets (JSON -> UI).

当回答涉及趋势、分布、排行、占比、对比等可视化需求，需要把一组行数据转成前端可渲染的图表契约时使用。用户提到画图、图表、可视化、趋势图、饼图、柱状图、折线图时必须使用。只负责图表契约构建与图表选型，不负责取数。

Generate charts, data visualizations, animated counters, and polished motion-graphic assets with open-source generators (matplotlib, Manim, Lottie, Motion…

Generates Mermaid diagrams from Trailmark code graphs.

Real-time cryptocurrency portfolio dashboard with live data visualization.

Creates and audits truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly.

Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards.

Rich downstream visualisation and reporting for bulk RNA-seq differential expression and scRNA marker/contrast outputs.

Generate polished, self-contained visual explainers, reviews, diagrams, dashboards, comparison pages, and slide-mode HTML from technical or business inputs.

This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data…

Create publication figures with matplotlib/seaborn/plotly.

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

Generate self-contained HTML visualizations with Plannotator theming.

Data analysis across SQL, visualization, statistics, and reporting.

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

Build modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit.

Visualize and govern your cloud architectures.

Visualize Hi-C contact matrices, TADs, loops, and genomic features using matplotlib, cooltools, and HiCExplorer.

Generate local, evidence-based charts for learning reports.

Production pipeline for interactive and generative visual art using p5.js.

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

Turn molecular and protein analysis results into declarative property charts and residue-level sequence tracks.

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