figure-hygiene

What problem does it solve?

This Skill helps researchers and scientists ensure the correctness and legibility of their data/results figures in scientific publications, reducing errors and improving the quality of visual communication.

Core Features & Use Cases

• Data Fidelity: Checks for excluded rows, comparable conditions, connected series, and self-consistency in figure data.
• Label Economy: Ensures minimal yet informative labeling, adhering to color threading and typography guidelines.
• Color Threading: Provides a CVD-safe color palette and ensures one color per entity.
• Typography: Defines clear and consistent typography rules for figure elements.
• Chart Choice: Offers guidance on choosing the appropriate chart type based on data shape.
• Anti-Patterns: Alerts on common graphical mistakes that can compromise figure correctness.
• Render-Then-Verify: Ensures figures are correctly rendered and legible.
• Figure Reproduction Provenance: Ensures figures can be re-rendered from recorded inputs.
• Review Gate: Suggests a review process for submission-bound figures.
• Use Case: Before submitting a manuscript, use this Skill to check all figures for adherence to scientific publication standards.

Quick Start

Run the figure-hygiene skill on your figure 'results_figure.pdf' to ensure it meets publication standards.