Generate publication-quality marine ecology figures from datasets using Matplotlib, Cartopy, and Seaborn.
npx skills add https://github.com/RugkeyPro/agent-skills --skill rk-plotter
Please help me install this Agent Skill. Skill: rk_plotter Source: https://github.com/RugkeyPro/agent-skills/tree/main/rk_plotter Command: npx skills add https://github.com/RugkeyPro/agent-skills --skill rk-plotter
Marine scientists often struggle to convert raw marine data into clear, publication-quality figures rapidly, hindering communication of results.
Create a publication-ready marine-ecology plot from your latest dataset with rk_plotter and save outputs as SVG and PNG.
High-intent search queries and answers about installing and using this skill.
Generate publication-quality marine ecology figures from datasets using Matplotlib, Cartopy, and Seaborn with project-wide styling. It supports creating species distribution maps, time-series plots, boxplots, heatmaps, and SEM diagrams with consistent color palettes and axis formatting.
The best way to generate species distribution maps for marine ecology journals is using Cartopy and Matplotlib templates tailored for marine data. This approach ensures editorial control with per-panel exports to SVG and PNG, adhering to GCB journal style conventions.
Yes, rk_plotter supports exporting individual figure panels to SVG and PNG. It operates on a one-script-per-figure workflow with per-panel export, ensuring you maintain editorial control and consistent styling across all generated marine ecology visualizations.
Yes, you can use Matplotlib and Seaborn to create seasonal time-series plots for marine data. The workflow provides specific templates for time-series figures, applying project-wide styling and consistent color palettes to ensure publication-ready outputs.
Yes, you need the project's plot_config module to maintain consistent styling across marine ecology figures. This module provides the necessary figure directories, color definitions, and naming conventions required for the one-script-per-figure workflow.
Marine ecology figure styling looks inconsistent across different scripts when the project's plot_config module is not used. This module enforces project-wide figure directories, consistent color palettes, and naming conventions to ensure uniform axis formatting across all outputs.
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