How does this skill handle memory safety education?

It integrates industry-standard tools like Valgrind and sanitizers (ASan, MSan, UBSan) into the assessment workflow to help students identify and fix memory leaks and undefined behavior.

What is the recommended teaching approach?

The skill promotes 'Framework-Free' teaching, focusing on standard libraries and core language fundamentals to ensure students understand the underlying 'weight' of manual resource management.

Does it include environment configuration?

Yes, it provides detailed Docker-based sandbox configurations with requirements for compilers, debuggers, and performance analysis tools like perf and flamegraphs.

Which programming languages are supported by this skill?

The skill provides a specialized base profile for systems programming languages including C, C++, Rust, and Zig.

Systems Programming Course Builder

Name: Systems Programming Course Builder
Author: NathanJGaul

byNathanJGaul

Learning & Documentation

Architects comprehensive systems programming curricula focusing on low-level memory management, performance optimization, and safety across C, C++, Rust, and Zig.

About

This skill serves as a foundational framework for creating and delivering high-quality systems programming educational content. It provides structured guidance on teaching core concepts like stack vs. heap allocation, cache-friendliness, and manual memory management while emphasizing visualization and error-driven learning. It is specifically designed for instructors, technical writers, and developers building technical training, offering precise laboratory requirements, assessment strategies, and robust sandbox configurations to ensure students gain a deep understanding of how code interacts with hardware and the operating system.

Key Features

Structured pedagogical guidance for memory layout and stack/heap visualization
Automated memory safety and performance assessment frameworks
Standardized base profiles for C, C++, Rust, and Zig curriculum design
0 GitHub stars
Pre-configured sandbox specifications for secure, local code execution
Integrated toolchain recommendations for debugging, profiling, and static analysis

Use Cases

Developing corporate training modules for performance-critical software engineering
Designing university-level computer systems or operating systems coursework
Building interactive coding labs with automated memory-leak and safety validation

About

Key Features

Structured pedagogical guidance for memory layout and stack/heap visualization
Automated memory safety and performance assessment frameworks
Standardized base profiles for C, C++, Rust, and Zig curriculum design
0 GitHub stars
Pre-configured sandbox specifications for secure, local code execution
Integrated toolchain recommendations for debugging, profiling, and static analysis

Use Cases

Developing corporate training modules for performance-critical software engineering
Designing university-level computer systems or operating systems coursework
Building interactive coding labs with automated memory-leak and safety validation