chart-style-guide
CommunityPolish charts with consistent styling.
Data & Analytics#styling#visualization#matplotlib#seaborn#data-visualization#color-palette#chart-design
Authors23h
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill ensures a consistent, professional styling language for data visualizations across Python plots, saving time and improving readability.
Core Features & Use Cases
- Standardized aesthetics for charts created with matplotlib and seaborn.
- Reusable color palettes, fonts, and spacing conventions to preserve a cohesive look.
- Quick templates and guidelines for common chart types (bar, line, donut) to speed up development.
Quick Start
Ensure your Python environment has matplotlib and seaborn installed, then apply the style guide at the start of your plotting scripts. Import the style module and call apply_chart_style() before creating charts.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: chart-style-guide Download link: https://github.com/s23h/sql-agent/archive/main.zip#chart-style-guide Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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