Code Validation Sandbox — Intelligent Validation Architecture

What problem does it solve?

Generic code validation often misses pedagogical context, leading to irrelevant error reports or overlooking critical issues in learning materials. This Skill provides intelligent, layer-aware validation, ensuring code examples are flawless and effective for their specific teaching purpose.

Core Features & Use Cases

• Layer-Aware Validation: Adapts validation depth (critical, verification, reusability, integration) based on the pedagogical layer (e.g., zero tolerance for typos in foundational code).
• Multi-Language Support: Automatically detects and validates code in Python, Node.js, Rust, and Go using language-specific tools.
• Actionable Error Reports: Provides precise file:line context, root cause analysis, fix suggestions, and explains "why this matters" for the specific learning context.
• Use Case: A course developer needs to validate a Python chapter for beginners. This Skill automatically detects it's a "Layer 1: Manual Foundation" chapter, applies critical depth validation (100% syntax, runtime, output match), and reports any errors with clear, actionable fixes, preventing student frustration.

Quick Start

Validate the Python code in the chapter 'book-source/docs/04-Python-Fundamentals/14-data-types'.