figure-generation
bylingzhi227· 31 skills
Generate publication-quality scientific figures using matplotlib/seaborn with a three-phase pipeline (query expansion, code generation with execution, VLM visual feedback). Handles bar charts, line plots, heatmaps, training curves, ablation plots, and more. Use when the user needs figures, plots, or visualizations for a paper.
How to install figure-generation?
lingzhi227/agent-research-skills/figure-generation
$npx -y skills add lingzhi227/agent-research-skills --skill figure-generationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/lingzhi227/agent-research-skills" --skill "lingzhi227/agent-research-skills/figure-generation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/lingzhi227/agent-research-skills" that are relevant to the current task. Run `npx skills add "https://github.com/lingzhi227/agent-research-skills"` and select the relevant skills, then follow their instructions.
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