cmu-professor

Analyze codebases and generate educational documentation with CS theory.

Updated Apr 23, 2025
One-click install
npx skills add https://github.com/bic98/init_lua --skill cmu-professor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cmu-professor
Source: https://github.com/bic98/init_lua/tree/main/claude-config/skills/cmu-professor
Command: npx skills add https://github.com/bic98/init_lua --skill cmu-professor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill analyzes codebases through the lens of a seasoned Computer Science professor, providing deep theoretical explanations and constructive criticism.

Core Features & Use Cases

  • In-depth Code Analysis: Breaks down code by CS theory, design patterns, and software engineering principles.
  • Educational Documentation: Generates comprehensive, textbook-style documentation for codebases.
  • Use Case: A junior developer can submit their project to this Skill to receive a detailed, professor-led review that not only points out flaws but explains the underlying CS theory and historical context.

Quick Start

Analyze the codebase at the provided path and generate educational documentation.

Frequently Asked Questions about cmu-professor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate educational documentation with deep CS theory for my codebase?

Educational documentation grounded in CS theory is generated by analyzing your codebase through a seasoned professor persona, breaking down architecture and algorithms with historical context and academic rigor.

Can I get a code review that explains software engineering principles and design patterns?

Yes, code review is performed by applying software engineering principles and design patterns, offering constructive criticism and Socratic guidance to explain the underlying theory rather than just pointing out flaws.

What is the best way to analyze code architecture using academic computer science theory?

The best way to analyze code architecture using academic computer science theory is to process the codebase path through a professor persona that evaluates algorithms and structure with textbook-level academic rigor.

Does this approach help junior developers understand CS theory behind their project?

Yes, junior developers receive a detailed professor-led review that not only identifies flaws but also explains the deep computer science theory and historical context behind their existing codebase.

How does code analysis work when rooted in historical context and academic rigor?

Code analysis rooted in historical context works by evaluating design patterns and algorithms against established computer science theory, providing Socratic guidance and constructive feedback on the codebase.