Individual skill
academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
skills/vendor-ai-research/academic-plotting/SKILL.md
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- Repository last updated
- Oct 9, 2026
- License
- MIT
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- agent-skills Repository topic
- agents Repository topic
- ai Repository topic
- ai-agents Repository topic
- ai-scientist Repository topic
- artificial-intelligence Repository topic
- autonomous-agents Repository topic
- autonomous-research Repository topic
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- academic-writing Declared skill tag
- visualization Declared skill tag
- matplotlib Declared skill tag
- seaborn Declared skill tag
- plotting Declared skill tag
- figures Declared skill tag
- diagrams Declared skill tag
- neurips Declared skill tag
- icml Declared skill tag
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- latex Declared skill tag
- data Derived category
- research Derived category
- engineering Derived category
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# Academic Plotting for ML Papers
Generate publication-quality figures for ML/AI conference papers. Two distinct workflows:
1. **Diagram figures** (architecture, system design, workflows, pipelines) — AI image generation via Gemini
2. **Data figures** (line charts, bar charts, scatter plots, heatmaps, ablations) — matplotlib/seaborn
## When to Use Which Workflow
| Figure Type | Tool | Why |
|-------------|------|-----|
| Architecture / system diagram | Gemini (Workflow 1) | Complex spatial layouts with boxes, arrows, labels |
| Workflow / pipeline / lifecycle | Gemini (Workflow 1) | Multi-step processes with connections |
| Bar chart, line plot, scatter | matplotlib (Workflow 2) | Precise numerical data, reproducible |