skills/claude-scientific-skills
1
0
Fork 0
mirror of https://github.com/K-Dense-AI/claude-scientific-skills.git synced 2026-01-26 16:58:56 +08:00
Code Issues Packages Projects Releases Wiki Activity

Improve thinking skills descriptions

Browse Source
This commit is contained in:
Timothy Kassis
2025-10-20 16:05:31 -07:00
parent 00c69058c3
commit 04087666b7
8 changed files with 8 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
scientific-thinking/scientific-visualization/SKILL.md
View File

@@ -1,6 +1,6 @@
---
name: scientific-visualization
description: Create publication-ready scientific figures using best practices and guidelines for matplotlib, seaborn, and plotly. Use this skill when creating plots, charts, or visualizations for scientific papers, when figures need to meet journal requirements (Nature, Science, Cell, etc.), when ensuring colorblind accessibility, or when asked to make figures "publication-quality" or "publication-ready". Also use for multi-panel figures, data visualization with statistical rigor, and figures following specific style guidelines.
description: Create publication-ready scientific figures, plots, charts, and visualizations using matplotlib, seaborn, and plotly. Use this skill for any scientific data visualization task including: creating figures for research papers and manuscripts; preparing plots for journal submission (Nature, Science, Cell, PLOS, PNAS, etc.); making publication-quality figures with proper resolution, fonts, and formatting; ensuring colorblind accessibility and accessibility compliance; creating multi-panel figures with consistent styling; visualizing statistical data with error bars, significance markers, and proper statistical representation; exporting figures in correct formats (PDF, EPS, TIFF, PNG) with appropriate DPI; following journal-specific requirements and style guidelines; improving existing figures to meet publication standards; creating figures that work in both color and grayscale; visualizing experimental results, data analysis outputs, statistical comparisons, time series, distributions, correlations, heatmaps, scatter plots, bar charts, line plots, box plots, violin plots, and other scientific plot types; ensuring figures are clear, accurate, accessible, and professional; applying proper typography, color palettes, and layout principles; creating figures for presentations, posters, and scientific communication; visualizing genomics data, microscopy images, experimental measurements, and research findings.
---
# Scientific Visualization