From data-visualization-creator
Generates plots, charts, and graphs from data with automatic visualization type selection based on data analysis. Activates on visualization requests.
How this skill is triggered — by the user, by Claude, or both
Slash command
/data-visualization-creator:creating-data-visualizationsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Generate plots, charts, and graphs from data with automatic visualization type selection based on data characteristics.
Generate plots, charts, and graphs from data with automatic visualization type selection based on data characteristics.
This skill empowers Claude to transform raw data into compelling visual representations. It leverages intelligent automation to select optimal visualization types and generate informative plots, charts, and graphs. This skill helps users understand complex data more easily.
This skill activates when you need to:
User request: "Create a bar chart showing sales by region."
The skill will:
User request: "Plot the stock price of AAPL over the last year."
The skill will:
This skill can be integrated with other data processing and analysis tools within the Claude Code environment. It can receive data from other skills and provide visualizations for further analysis or reporting.
The skill produces structured output relevant to the task.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin data-visualization-creatorGenerates charts like bar, line, pie, scatter, heatmaps from data using Matplotlib. Analyzes structure, customizes styles, adds interactivity, exports to PNG, SVG, HTML.
Creates publication-quality charts from Python DataFrames or query results using matplotlib/seaborn/plotly. Recommends types for trends, comparisons, reports; supports interactive plots.
Designs clear, accessible data visualizations with chart selection for comparisons/trends/distributions, styling principles, color palettes, responsiveness, and best practices.