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Cs Foundations

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cs-foundations

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

Overview

Publisherforyourhealth111-pixel
RepositoryVibe-Skills
Skill namecs-foundations
Stars
3.3K
Forks
288
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by foryourhealth111-pixel on GitHub. Read the source before you install it.

Installation

Install the Cs Foundations AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git /tmp/Vibe-Skills
mkdir -p .claude/skills
cp -r /tmp/Vibe-Skills/bundled/skills/cs-foundations .claude/skills/cs-foundations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cs Foundations in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cs Foundations on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cs Foundations is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CS Foundations Skill

Skill Metadata

yaml
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

IssueRoot CauseResolution
Proof stuckMissing case or wrong directionCheck base case, verify induction step
Set operation confusion∪ vs ∩ mix-upDraw Venn diagram
Counting errorOvercounting duplicatesDistinguish P(n,r) vs C(n,r)
Modular arithmetic errorForgot wraparoundWork 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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cs Foundations AI skill do?

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

Why use Cs Foundations on TypingMind?

Because you install it once and use it with any model. Cs Foundations is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cs Foundations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/cs-foundations. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cs Foundations?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cs Foundations?

As many as you like. As long as a model supports skills, you can use Cs Foundations with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cs Foundations AI skill free?

Yes. It is published on GitHub by foryourhealth111-pixel under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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