concept-classifier

Classify scenarios into multiple-choice categories from data.json.

90|12|Updated Nov 1, 2025
One-click install
npx skills add https://github.com/dmccreary/claude-skills --skill concept-classifier
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: concept-classifier
Source: https://github.com/dmccreary/claude-skills/tree/main/skills/concept-classifier
Command: npx skills add https://github.com/dmccreary/claude-skills --skill concept-classifier

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill creates a p5.js-based interactive MicroSim where students classify scenarios into categories from multiple choices, using a data.json to simplify editing.

Core Features & Use Cases

  • Scenario-based classification with 4 options per question
  • Hint system and automated explanations
  • Randomized questions and score tracking

Quick Start

Generate a concept classifier MicroSim from data.json and embed it via index-template.

Frequently Asked Questions about concept-classifier

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

FAQPage Schema
How do I create an interactive classification quiz with multiple choice questions?▼

Classification quizzes let students categorize scenarios into correct groups from multiple options. This Skill generates a p5.js-based interactive quiz powered by a data.json file, supporting four-option MCQs, hints, automatic explanations, and score tracking without coding.

Can I use p5.js to build a pattern recognition teaching tool?▼

Yes. p5.js powers interactive visualizations for pattern recognition exercises. This Skill combines p5.js with a data-driven workflow to deliver scenario-based classification across domains like logical fallacies, literary devices, taxonomies, and design patterns with randomized questions.

How do I set up a data-driven quiz without writing code?▼

Configure a data.json file with your scenarios and categories, then embed the generated classifier into index-template. The Skill handles randomization, hints, scoring, and explanations automatically, letting educators focus on content rather than implementation.

What domains can concept classification cover?▼

Classification applies across education and research domains: biases, logical fallacies, literary devices, taxonomic groupings, and design patterns. Each question presents a scenario and four category options, making it adaptable to any subject requiring pattern recognition and categorization.

Does this Skill support hints and explanations for each question?▼

Yes. The classification system includes built-in hint functionality and automated explanations tied to each scenario. Students receive feedback on their answers, supporting learning through immediate reinforcement and clarification.