Data Visualization
A comprehensive reference for building publication-ready charts in Python that actually handles the tedious decisions for you. It maps data relationships to specific chart types (with clear guidance on when NOT to use pie charts), provides complete matplotlib and seaborn code patterns with proper styling, and includes accessibility considerations like colorblind-friendly palettes. The code examples cover everything from basic bar charts to small multiples, with number formatting helpers and interactive Plotly snippets. Honestly, this saves you from the usual cycle of googling matplotlib syntax and ending up with charts that look like they're from 2005.
- install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.
- 11
- skills.sh installs
- 14.5K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill data-visualization --agent claude-codeInstalls into .claude/skills of the current project.
Files
Data Visualization Skill
Chart selection guidance, Python visualization code patterns, design principles, and accessibility considerations for creating effective data visualizations.
Chart Selection Guide
Choose by Data Relationship
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- Repository
- github.com/anthropics/knowledge-work-plugins
- Categories
- Code Review & Quality, Data Science & ML, Python, Design & UI/UX
- First seen
- Apr 16, 2026
More from anthropics/knowledge-work-plugins
All 198- Documentation10.6K
- Code Review10.1K
- Build Dashboard9.4K
- System Design7.7K
- Memory Management7.6K
- Task Management7.4K
- Architecture7K
- Testing Strategy6.7K
- Tech Debt6.7K
- Knowledge Synthesis6.5K
- View Pdf6.4K
- Explore Data6K
- Incident Response6K
- Debug6K
- Product Brainstorming5.9K
- Analyze5.8K
- Design Critique5.8K
- Deploy Checklist5.8K
- Search Strategy5.4K
- Legal Risk Assessment5.4K
- Create Viz5.3K
- Standup5.3K
- Source Management5.2K
- Content Creation5.1K
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