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paper-figure

Generate deterministic line, bar, scatter, and heatmap plots from experiment data.

7|1|Updated Mar 19, 2026
Search Tags:#plotting#matplotlib#reproducibility#data-visualization#experiments#pgfplots
One-click install
npx skills add https://github.com/Shiien/Self-Evolved-Research-Framework --skill paper-figure-shiien
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-figure
Source: https://github.com/Shiien/Self-Evolved-Research-Framework/tree/main/skills/paper-figure
Command: npx skills add https://github.com/Shiien/Self-Evolved-Research-Framework --skill paper-figure-shiien

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generating publication-ready figures from experiment results without manual plotting, ensuring consistency and reproducibility across analyses.

Core Features & Use Cases

  • Locate the latest data under experiments/ and automatically select the appropriate figure type (line, bar, scatter, heatmap, etc.) based on data shape.
  • Generate deterministic plots with outputs saved to paper/figures/{name}.pdf and paper/figures/{name}.png for easy inclusion in reports and slides.
  • Support both quick exploratory visuals during research and camera-ready figures via PGFPlots/TikZ.

Quick Start

Run the script paper/figures/scripts/{name}.py to generate the figure from the latest experiment results.

Frequently Asked Questions about paper-figure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate reproducible figures from experiment data using Python plotting libraries?▼

To generate reproducible figures from experiment data, this skill applies Python plotting libraries to load data from experiments/, automatically select plot types like line or bar charts, and save deterministic outputs to paper/figures/.

What is the best way to create publication-ready figures without manual plotting?▼

Creating publication-ready figures without manual plotting is handled by running deterministic scripts under paper/figures/scripts/, which automatically detect data shape and save both PDF and PNG outputs for reports and slides.

Does this data-visualization skill support camera-ready figures via PGFPlots?▼

Yes, the data-visualization workflow supports camera-ready figures via PGFPlots/TikZ, allowing you to produce high-quality plots suitable for publication directly from your experiment results.

How do I automatically select the right plot type for my experiment results?▼

Automatic plot type selection for experiment results is achieved by evaluating the data shape, enabling the skill to choose appropriate visualizations such as line, bar, scatter, or heatmap plots without manual configuration.

Can I use matplotlib for quick exploratory visuals during research?▼

Yes, you can use matplotlib for quick exploratory visuals during research, as the skill supports both rapid data visualization and deterministic, camera-ready figure generation for final papers.

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