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Data Visualization

anthropics/knowledge-work-plugins
11.3k installs23.4k stars
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-code

Installs into .claude/skills of the current project.

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Files
SKILL.md

Select a file.

Featured
CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
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create and run specialised agents in minutes
build now →
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Categories
Code Review & QualityData Science & MLPythonDesign & UI/UX
First SeenApr 16, 2026
View on GitHub

More from anthropics/knowledge-work-plugins

All 198 skills →
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  • Architecture5.6k
  • Tech Debt5.6k
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  • Explore Data5.1k
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  • Analyze5k
  • Search Strategy4.9k
  • Deploy Checklist4.8k
  • Source Management4.7k
  • Create Viz4.7k
  • Standup4.6k
  • Search4.5k
  • Product Brainstorming4.5k
  • Update4.5k
  • Start4.5k

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