Is this skill meant for coding or theory?

It bridges both; it provides the theoretical foundations—logic and math—required to write more efficient, correct, and sophisticated code and algorithms.

What core topics does the CS Foundations skill cover?

The skill focuses on discrete mathematics, including set theory, propositional logic, proof techniques (like induction), combinatorics, functions, and modular arithmetic.

How long does it take to complete the roadmap?

The estimated time to master these foundations is 6-8 weeks, depending on your prior familiarity with mathematical concepts.

Can I use this skill to help solve specific math problems?

Yes, the skill includes parameters for specific topics and depths, allowing Claude to provide focused assistance on proofs, truth tables, and counting problems.

How does this help with technical interviews?

Many top-tier engineering interviews test for foundational knowledge in logic, Big O analysis, and counting principles, all of which are covered by this skill.

CS Foundations

Name: CS Foundations
Author: pluginagentmarketplace

bypluginagentmarketplace

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Learning & Documentation

Builds a rigorous mathematical and logical foundation for computer science through discrete mathematics and computational thinking.

About

The CS Foundations skill provides Claude with expert-level guidance on the mathematical pillars of computer science, including set theory, formal logic, and proof techniques. It is designed to help developers and students master the theoretical underpinnings necessary for analyzing algorithm complexity, understanding computational models, and writing mathematically sound code. This skill offers structured learning paths, practice problems, and troubleshooting for abstract computational concepts, making it an essential companion for those transitioning from coding to computer science or preparing for advanced technical interviews.

Key Features

1 GitHub stars
Comprehensive roadmap for discrete mathematics and formal logic
Guided support for mathematical induction and proof techniques
Foundational patterns for algorithmic thinking and problem decomposition
Interactive exercises for set theory, functions, and combinatorics
Expert troubleshooting for modular arithmetic and counting errors

Use Cases

Mastering formal proof techniques for algorithm verification
Preparing for theoretical computer science technical interviews
Strengthening the mathematical logic behind complex system designs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-computer-science foundations

For use in Claude.ai and ChatGPT

Download Skill

GitHub