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.