🧪 Scientific Visualization
Create publication-quality scientific figures with matplotlib, seaborn, and plotly. Includes multi-panel layouts, error bars, significance markers, colorblind-safe palettes, and journal-specific export (PDF/EPS/TIFF). Use when creating figures for manuscripts, presentations, or any research visualiz
npx playbooks add skill braselog/researchassistant --skill scientific-visualization
About Scientific Visualization
Create publication-quality scientific figures with matplotlib, seaborn, and plotly. Includes multi-panel layouts, error bars, significance markers, colorblind-safe palettes, and journal-specific export (PDF/EPS/TIFF). Use when creating figures for manuscripts, presentations, or any research visualiz
At 33 words, this compact prompt gives your agent specialized testing & qa expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
Use Cases
- Writing unit, integration, and end-to-end tests
- Setting up test coverage and CI pipelines
- Refactoring legacy code with confidence using tests
- Creating test plans and QA checklists
Example Prompts
System Prompt (33 words)
Create publication-quality scientific figures with matplotlib, seaborn, and plotly. Includes multi-panel layouts, error bars, significance markers, colorblind-safe palettes, and journal-specific export (PDF/EPS/TIFF). Use when creating figures for manuscripts, presentations, or any research visualiz
Frequently Asked Questions
What is Scientific Visualization?
Scientific Visualization is a free testing & qa skill for AI coding agents. Create publication-quality scientific figures with matplotlib, seaborn, and plotly. Includes multi-panel layouts, error bars, significance markers, colorblind-safe palettes, and journal-specific export (PDF/EPS/TIFF). Use when creating figures for manuscripts, presentations, or any research visualiz. It provides a specialized system prompt that configures your agent with testing & qa expertise.
How do I use Scientific Visualization with Claude Code?
Run npx playbooks add skill braselog/researchassistant --skill scientific-visualization in your terminal to install Scientific Visualization into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Scientific Visualization?
Scientific Visualization is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Scientific Visualization free to use?
Yes, Scientific Visualization is completely free and open source. The full source is available on GitHub at https://github.com/braselog/researchassistant/tree/main/.ra/skills/scientific-visualization. You only need a subscription to the AI agent you use it with.
