Helps you pick the right chart type and design cleaner visualizations instead of staring at your data wondering if it should be a bar chart or scatter plot. Covers the basics like comparison charts, distributions, and time series, plus gives you matplotlib or plotly code examples you can actually use. The built-in principles around clarity and accessibility are solid reminders, especially the "use pie charts sparingly" guidance. Most useful when you're building dashboards or need to present findings to non-technical stakeholders and want to avoid the classic mistakes like misleading axes or rainbow color schemes that wreck readability.
npx -y skills add shubhamsaboo/awesome-llm-apps --skill visualization-expert --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot