create-playground

Build an interactive Streamlit playground for VRP-Toolkit experimentation.

Updated Apr 23, 2024
One-click install
npx skills add https://github.com/dudusoar/VRP-Toolkit --skill create-playground
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-playground
Source: https://github.com/dudusoar/VRP-Toolkit/tree/main/.claude/skills/create-playground
Command: npx skills add https://github.com/dudusoar/VRP-Toolkit --skill create-playground

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams quickly build and maintain an interactive Streamlit playground to teach VRP-Toolkit through hands-on exploration, reducing the friction of onboarding and experimentation.

Core Features & Use Cases

  • Interactive Playground: Create a web-based playground to explore VRP problems, run algorithms, and visualize results.
  • Reproducible Experiments: Save configs and runs to reproduce results and compare configurations.
  • Integrations & Extensions: Provide UI patterns and references to help teams extend the playground with new algorithms and visualizations.

Quick Start

Launch the VRP-Toolkit playground by following the repository setup, then load or generate a problem instance, configure an algorithm, run the solver, and visualize routes and metrics.

Frequently Asked Questions about create-playground

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

FAQPage Schema
How do I build an interactive Streamlit playground for VRP learning?

You build an interactive Streamlit playground for VRP learning by loading or generating problem instances, configuring algorithms, running solvers, and visualizing results across multiple pages. This skill provides UI patterns and state management references to scaffold the application.

What is hands-on VRP-Toolkit visualization and how does it work?

Hands-on VRP-Toolkit visualization is the process of running algorithms on problem instances and displaying routes and metrics in a web UI. It works by configuring a solver, executing the run, and rendering the results on Streamlit pages to support reproducibility.

Can I save and reproduce algorithm configurations in a Streamlit learning playground?

Yes, you can save and reproduce algorithm configurations in a Streamlit learning playground. The skill supports saving configs and runs to reproduce results, allowing you to compare different configurations and maintain reproducible experiments.

Do I need prior experience with ALNS to use this VRP-Toolkit playground?

You do not need extensive prior experience with ALNS to use this VRP-Toolkit playground. The skill provides references, example components, and integration patterns to guide UI design and reduce the friction of onboarding and experimentation.

How do I extend a Streamlit VRP playground with new algorithms and visualizations?

You extend a Streamlit VRP playground with new algorithms and visualizations by following the provided integration patterns and UI design references. The skill offers scaffolding for documentation and testing to guide the extension process.