academic-plotting
Generate publication-quality plots for ML papers from experiment CSV/JSON logs, including ablations, confidence intervals, and camera-ready styling.
Source facts
- Repository
- Rycen7822/skill-retrieval-mcp
- Last source activity
- May 10, 2026 at 17:34
- Detected SKILL.md language
- English
- Stars
- 2
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- 0
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Source instructions · Read-only preview- name
- academic-plotting
- description
- Generate publication-quality plots for ML papers from experiment CSV/JSON logs, including ablations, confidence intervals, and camera-ready styling.
- tags
- ["plotting","matplotlib","figures","ablation","ml","paper"]
# Academic Plotting
## When to Use
Use when the user needs polished research figures, ablation plots, learning curves, confidence intervals, or camera-ready chart styling from local experiment data.
## Do Not Use When
Do not use for taxonomy CSV consolidation, document OCR conversion, or text humanization.
## Required Inputs
Data files, metric names, grouping variables, target venue style, figure size, and output path.
## Workflow
1. Load experiment logs and validate metric columns.
2. Aggregate means, standard deviations, and confidence intervals.
3. Render publication-quality plots with labels and legends.
4. Save figure files and reproducible plotting scripts.
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