Vibe-Skills cs-foundations
Master discrete mathematics, logic, formal proofs, and computational thinking. Build the mathematical foundation for all computer science.
install
source · Clone the upstream repo
git clone https://github.com/foryourhealth111-pixel/Vibe-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/foryourhealth111-pixel/Vibe-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/bundled/skills/cs-foundations" ~/.claude/skills/foryourhealth111-pixel-vibe-skills-cs-foundations && rm -rf "$T"
manifest:
bundled/skills/cs-foundations/SKILL.mdsource content
CS Foundations Skill
Skill Metadata
skill_config: version: "1.0.0" category: theoretical prerequisites: [] estimated_time: "6-8 weeks" difficulty: intermediate parameter_validation: topic: type: string enum: [logic, proofs, sets, functions, combinatorics, number-theory, graphs] required: true depth: type: string enum: [intro, standard, advanced] default: standard retry_config: max_attempts: 3 backoff_strategy: exponential initial_delay_ms: 500 observability: log_level: INFO metrics: [topic_usage, proof_verification_rate, exercise_completion]
Quick Start
Computer science is built on mathematics. Master these fundamentals:
Core Topics
Discrete Mathematics
- Set theory and operations
- Logic and proof techniques
- Combinatorics and counting
- Number theory basics
- Relations and functions
Computational Thinking
- Problem decomposition
- Abstraction and generalization
- Pattern recognition
- Algorithmic thinking
Formal Logic
- Propositional logic
- Predicate logic
- Proof by induction
- Truth tables and logical equivalence
Learning Path
Week 1: Logic Basics
- Boolean algebra
- Truth tables
- Logical operators
- Inference rules
Week 2: Proof Techniques
- Direct proof
- Proof by contradiction
- Mathematical induction
- Strong induction
Week 3: Set Theory
- Set operations (∪, ∩, complement)
- Cartesian product
- Relations
- Equivalence relations
Week 4: Functions
- Function notation
- Domain, codomain, range
- One-to-one and onto
- Function composition
Week 5: Combinatorics
- Counting principles
- Permutations
- Combinations
- Pigeonhole principle
Week 6: Number Theory
- Modular arithmetic
- Prime numbers
- GCD and Euclidean algorithm
- Congruence
Practice Problems
- Prove by induction that 1+2+...+n = n(n+1)/2
- Prove √2 is irrational
- Show A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C)
- Count functions from {1,2,3} to {a,b}
- Solve: x ≡ 5 (mod 12) and x ≡ 3 (mod 8)
Troubleshooting
| Issue | Root Cause | Resolution |
|---|---|---|
| Proof stuck | Missing case or wrong direction | Check base case, verify induction step |
| Set operation confusion | ∪ vs ∩ mix-up | Draw Venn diagram |
| Counting error | Overcounting duplicates | Distinguish P(n,r) vs C(n,r) |
| Modular arithmetic error | Forgot wraparound | Work with remainders explicitly |
Key Concepts
- Axioms: Statements we assume true
- Theorems: Statements we prove
- Lemmas: Helper theorems
- Corollaries: Results that follow easily
Why It Matters
These foundations enable:
- Understanding algorithm correctness
- Analyzing computational complexity
- Designing new algorithms
- Proving algorithm properties
- Understanding what's computable
Interview Prep
- Explain mathematical induction
- Prove that a function is injective
- Count permutations with constraints
- Solve modular equations
- Apply pigeonhole principle