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/cs-foundations

Master discrete mathematics, logic, formal proofs, and computational thinking. Build the mathematical foundation for all computer science.

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vibe-skills
2.7k200 skills8 agents3 commands
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$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill cs-foundations --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/cs-foundations

Context preview

The summary Claude sees to decide when to auto-load this skill.

Master discrete mathematics, logic, formal proofs, and computational thinking. Build the mathematical foundation for all computer science.

SKILL.md

cs-foundations.SKILL.md
name: cs-foundations
description: Master discrete mathematics, logic, formal proofs, and computational thinking. Build the mathematical foundation for all computer science.
sasmp_version: "1.3.0"
bonded_agent: 01-cs-foundations-expert
bond_type: PRIMARY_BOND

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

1. Prove by induction that 1+2+...+n = n(n+1)/2 2. Prove √2 is irrational 3. Show A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C) 4. Count functions from {1,2,3} to {a,b} 5. 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
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