Does it support multiple programming languages?

Yes, it specializes in Python and TypeScript, automatically deciding whether to provide a bilingual comparison or a language-specific deep dive.

What is the 'Show-Then-Explain' principle?

It is a pedagogical pattern where working code is presented first to create a mental anchor, followed by a detailed explanation of how it works.

How does this differ from standard AI code generation?

Standard generation often produces 'toy' examples. This skill uses reasoning-activated pedagogy to ensure examples solve real problems and follow a specific 'Spec-First' workflow.

Can I adjust the difficulty for beginners or experts?

Absolutely. The skill uses proficiency targeting (A1 to B2+) to adjust cognitive load and prerequisite assumptions based on the user's level.

Are the generated code examples tested?

Yes, the skill incorporates a validation planning stage that includes syntax parsing and execution checks to ensure every example is runnable and correct.

Code Example Generator

Name: Code Example Generator
Author: 92Bilal26

by92Bilal26

学习与文档

Generates pedagogical, production-ready code examples using cognitive reasoning and specification-driven validation.

关于

This skill transforms Claude into a code pedagogy architect, moving beyond generic 'toy' examples like todo lists to create high-quality, runnable code demonstrations. It employs a spec-first approach to ensure every example solves real-world problems while managing cognitive load for the learner. By prioritizing 'Show-Then-Explain' patterns and mandatory syntax validation, the skill ensures that generated code is not only educational but also technically accurate and production-relevant, making it ideal for documentation, tutorials, and developer onboarding.

主要功能

Cognitive load management tailored to specific proficiency levels (A1 to B2+)
Bilingual support for Python and TypeScript conceptual transfer
Focus on production-relevant patterns over trivial 'toy' app implementations
Spec-driven example generation to ensure alignment with learning objectives
Mandatory syntax and execution validation for error-free examples
0 GitHub stars

使用场景

Creating high-quality technical tutorials and documentation
Generating validated, real-world code snippets for internal design systems
Building progressive learning paths for developer onboarding

关于

主要功能

Cognitive load management tailored to specific proficiency levels (A1 to B2+)
Bilingual support for Python and TypeScript conceptual transfer
Focus on production-relevant patterns over trivial 'toy' app implementations
Spec-driven example generation to ensure alignment with learning objectives
Mandatory syntax and execution validation for error-free examples
0 GitHub stars

使用场景

Creating high-quality technical tutorials and documentation
Generating validated, real-world code snippets for internal design systems
Building progressive learning paths for developer onboarding