computer-science
Computer science and software engineering capabilities including machine learning, quality assurance, reverse engineering, software architecture, and code review practices. Use when working on: (1) Software development and architecture, (2) Machine learning model development, (3) Code quality and testing, (4) Reverse engineering tasks, (5) Pre-push code reviews
How do I install this agent skill?
npx skills add https://github.com/neirth/agentrules --skill computer-scienceIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides a comprehensive set of guidelines and best practices for various computer science domains, including software engineering, machine learning, and quality assurance. It consists entirely of instructional documentation and code templates. No security risks or malicious patterns were detected.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
Computer Science
This skill provides comprehensive computer science and software engineering expertise across multiple domains.
Core Capabilities
This skill covers the following areas, each detailed in the references/ directory:
- machine-learning-engineering - ML/DL engineering with PyTorch/Scikit-Learn, model training, ONNX export
- qa-engineering - Test-Driven Development, test coverage, mocking, chaos engineering, testing culture
- reverse-engineering - Clean-room reimplementation, protocol analysis, legacy code understanding
- software-engineering - SOLID principles, design patterns (GoF), Domain-Driven Design, Event-Driven Architecture, clean code
- work-review - Pre-push validation, code review, quality gates, testing requirements
How to Use This Skill
Reference specific capabilities from the references/ directory based on your task:
- For software architecture and design: See software-engineering.md
- For testing and quality: See qa-engineering.md
- For ML/DL projects: See machine-learning-engineering.md
- For analyzing external code: See reverse-engineering.md
- For code review and validation: See work-review.md
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/neirth/agentrules/computer-science">View computer-science on skillZs</a>