reana-sin-plot-workflow

Automate reproducible sine-plot generation with a REANA workflow.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill reana-sin-plot-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reana-sin-plot-workflow
Source: https://github.com/arm2arm/AstroAgentAssistant/tree/main/data-science/reana-sin-plot-workflow
Command: npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill reana-sin-plot-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, matplotlib.

What problem does it solve?

Minimal REANA workflow that plots a sine curve in green using pandas and matplotlib.

Core Features & Use Cases

  • REANA-based plotting workflow to generate a sine plot reproducibly within a REANA environment.
  • Reproducibility: Encapsulates environment and scripts to reproduce the sine-plot artifact.
  • Use Case: Ideal for quick demonstrations, teaching examples, and prototyping data visualizations.

Quick Start

Run the workflow to generate sin_plot.png from plot_sin.py.

Frequently Asked Questions about reana-sin-plot-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a reproducible plot in a REANA workflow?

A REANA workflow generates reproducible plots by executing a reana.yaml configuration that runs a Python script to produce visualization artifacts. This Skill runs plot_sin.py to output sin_plot.png within the REANA environment.

What dependencies do I need to run a matplotlib visualization workflow on REANA?

You need numpy, pandas, and matplotlib installed in your REANA environment to run the visualization workflow. These dependencies process the data and render the sine wave plot into a PNG file.

Is a REANA sine plot workflow suitable for teaching data visualization?

This REANA sine plot workflow is suitable for teaching data visualization because it provides a lightweight, reproducible example. It encapsulates the environment and scripts to generate a consistent sine-plot artifact for demonstrations.

How does pandas generate a sine wave plot in a research workflow?

In a research workflow, pandas generates a sine wave plot by computing the mathematical sine function using numpy and rendering the curve via matplotlib. The workflow outputs the resulting visualization as a reproducible PNG artifact.

Can I use this REANA workflow for rapid prototyping of scientific visualizations?

You can use this REANA workflow for rapid prototyping of scientific visualizations because it provides a minimal, encapsulated environment. It quickly generates a sine curve plot to demonstrate data visualization concepts.