How does this differ from standard AI code generation?

Unlike standard generation, this skill uses a reasoning-first approach to ensure examples are educational, tested, and follow real-world professional patterns rather than trivial toy applications.

Are the generated code examples runnable?

Yes, the skill enforces a 'runnable + tested' principle, meaning every example is designed to pass syntax and execution validation before being presented.

What is the 'Spec-First' principle?

Spec-First ensures that a clear technical specification drives the code creation, ensuring the resulting example solves a defined problem rather than just demonstrating syntax.

Which programming languages does this skill support?

It specializes in Python and TypeScript, offering bilingual examples when concepts transfer across languages and specific patterns when they are language-unique.

Can it adjust the complexity for different skill levels?

Absolutely. It uses 'Proficiency Targeting' to match cognitive load to the user, ranging from basic recognition (A1) to advanced architectural analysis (B2+).

Intelligent Code Example Generator

Name: Intelligent Code Example Generator
Author: panaversity

bypanaversity

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学習とドキュメンテーション

Generates production-grade, pedagogically sound code examples using a reasoning-first approach to accelerate developer learning.

概要

This skill transforms Claude into a code pedagogy architect that prioritizes cognitive understanding over mere syntax demonstration. By utilizing a reasoning-activated mode, it analyzes requirements through a structured inquiry system—evaluating proficiency levels, technical specifications, and validation needs—to produce runnable, tested, and real-world applicable code. It is specifically designed to move beyond trivial 'todo app' examples, providing developers and educators with high-quality snippets that adhere to professional standards in both Python and TypeScript while managing cognitive load for the learner.

主な機能

Integrated validation checks for syntax, execution, and edge cases
Reasoning-activated analysis for deeper pedagogical context
Automatic 'show-then-explain' formatting for better knowledge retention
68 GitHub stars
Spec-first validation ensuring examples solve real-world problems
Bilingual support for concepts spanning Python and TypeScript

ユースケース

Creating high-quality documentation and interactive tutorial snippets
Generating production-ready boilerplate based on specific technical requirements
Demonstrating complex design patterns and professional best practices to learners

概要

主な機能

Integrated validation checks for syntax, execution, and edge cases
Reasoning-activated analysis for deeper pedagogical context
Automatic 'show-then-explain' formatting for better knowledge retention
68 GitHub stars
Spec-first validation ensuring examples solve real-world problems
Bilingual support for concepts spanning Python and TypeScript

ユースケース

Creating high-quality documentation and interactive tutorial snippets
Generating production-ready boilerplate based on specific technical requirements
Demonstrating complex design patterns and professional best practices to learners