Summary
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 to Claude Code
npx -y skills add anthropics/knowledge-work-plugins --skill data-visualization --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
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Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
