From reactant
Generates and executes self-contained Python scripts using Matplotlib/Seaborn and Pandas to visualize data from CSV/TSV/Excel files. Replaces tags with image embeds in Markdown/LaTeX.
npx claudepluginhub a554b554/reactant --plugin reactantThis skill uses the workspace's default tool permissions.
Generate a data visualization by producing and executing a Python script (Matplotlib/Seaborn) based on the prompt, surrounding context, and a referenced data file.
Generates plots, charts, and graphs from data with automatic visualization type selection based on data analysis. Activates on visualization requests.
Generates publication-quality Python plots for scientific papers using matplotlib/seaborn, top-journal color schemes like Nature/Science, 450 DPI PNG/SVG exports, and data manifests.
Plots data from current conversation context using gnuplot, generating transparent PNG images output as inline markdown. Invoke via /gnuplot command.
Share bugs, ideas, or general feedback.
Generate a data visualization by producing and executing a Python script (Matplotlib/Seaborn) based on the prompt, surrounding context, and a referenced data file.
<@plot: ...> tag appears. ``). Read the data file to understand its structure (columns, types, number of rows).plot_completion_time.png).pandas for CSV/TSV/Excel, or appropriate libraries for other formats).matplotlib and/or seaborn.dpi=300 and bbox_inches='tight'.python -c "
<generated script here>
"
<@plot: ...> tag with a format-appropriate image reference:
.md): .tex): \includegraphics{output_path.png}The prompt may contain context references wrapped in double backticks ( ``). These point to external resources.
<@plot: bar chart using ``data/results.csv``> -- read data/results.csv as the input data.<@plot: line chart, save to ``figures/trend.png``> -- save the plot to figures/trend.png. delimiters from the output.python (not python3) for execution.<@plot: ...> tag and all delimiters must be removed in the output.