“Data visualization”

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

Insecure deserialization to RCE for web apps.

Transform data into compelling narratives using visualization, context, and persuasive structure.

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

Use to explain data science work visually with compact data-lineage diagrams, model sketches, validation timelines, uncertainty tables, notebook maps, and…

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

Visualize experiment results with source-backed scientific plots, comparisons, or a custom result viewer.

A workflow for conducting rigorous, reproducible data investigations and ad-hoc analyses.

Transform text-heavy slides into visual storytelling.

Toolkit for comprehensive Spreadsheet reading, creation, editing, and analysis with visual quality control.

Generate self-contained HTML visual explanations for systems, code changes, plans, data, and technical concepts.

Generate interactive charts, data explorers, diagrams, simulations, or UI previews as executable HTML fragments embedded directly in the conversation.

Use Python for data analysis and embed Mermaid or viz charts directly in chat when diagrams improve clarity, explanation quality, or decision support.

Opens a live visual dashboard of your Claude Code configuration and usage analytics.

Visual target generation, risk-first game decomposition, and verification criteria.

创建数据可视化图表，输出包含图表的完整 HTML 页面

将三段分析的已计算指标与候选关系组织为前端可视化数据。

Designs and builds React/Next/Tailwind UI, audits visual and interaction defects, and stress-tests components with worst-case data.

CSV/JSON/Excel data analysis, statistics, visualization

Turns an existing implementation plan into a polished self-contained HTML page and opens it in the browser.

Audit and fix visual hierarchy, spacing, color, and depth in web UIs.

Create cited research tables, diagrams, charts, timelines, and visual summaries from research-os wiki evidence.

Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, SQLite storage, and visualization.

Accessibility and visual testing skill with axe, screenshots, masks, baselines, snapshot governance, and dynamic-data controls.