scientific-visualization
"Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots."
Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation
View all platforms →skilz install davila7_claude-code-templates/scientific-visualization skilz install davila7_claude-code-templates/scientific-visualization --agent opencode skilz install davila7_claude-code-templates/scientific-visualization --agent codex skilz install davila7_claude-code-templates/scientific-visualization --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/davila7/claude-code-templates cp -r claude-code-templates/cli-tool/components/skills/scientific/scientific-visualization ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Details
- Owner
- davila7
- Repository
- claude-code-templates
- Stars
- 13,835
- Forks
- 1,200
- Type
- Technical
- Meta-Domain
- productivity
- Primary Domain
- Sub-Domain
- skill file
- Skill Size
- 102.0 KB
- Files
- 11
- Quality Score
- 71.2
AI-Detected Topics
Extracted using NLP analysis
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