propositional-logic

Problem-solving strategies for propositional logic in mathematical logic

422 stars

Best use case

propositional-logic is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Problem-solving strategies for propositional logic in mathematical logic

Teams using propositional-logic should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/propositional-logic/SKILL.md --create-dirs "https://raw.githubusercontent.com/vibeeval/vibecosystem/main/skills/math/mathematical-logic/propositional-logic/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/propositional-logic/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How propositional-logic Compares

Feature / Agentpropositional-logicStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Problem-solving strategies for propositional logic in mathematical logic

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Propositional Logic

## When to Use

Use this skill when working on propositional-logic problems in mathematical logic.

## Decision Tree


1. **Identify Formula Structure**
   - Classify: tautology, contradiction, or contingent?
   - Main connective: AND, OR, IMPLIES, NOT, IFF?
   - `z3_solve.py sat "formula"` to check satisfiability

2. **Truth Table Method**
   - For small formulas (<=4 variables): enumerate all valuations
   - `sympy_compute.py truthtable "p & (p -> q) -> q"`
   - Tautology = all T, Contradiction = all F

3. **Natural Deduction**
   - Apply inference rules: Modus Ponens, Modus Tollens
   - Conditional proof: assume antecedent, derive consequent
   - `z3_solve.py prove "Implies(And(p, Implies(p,q)), q)"`

4. **Semantic Tableaux**
   - Build tree by decomposing formula
   - Closed branches = contradictions
   - All branches closed = valid argument


## Tool Commands

### Z3_Sat
```bash
uv run python -m runtime.harness scripts/z3_solve.py sat "And(p, Implies(p, q), Not(q))"
```

### Z3_Tautology
```bash
uv run python -m runtime.harness scripts/z3_solve.py prove "Implies(And(p, Implies(p, q)), q)"
```

### Sympy_Truthtable
```bash
uv run python -m runtime.harness scripts/sympy_compute.py truthtable "p & (p >> q) >> q"
```

### Z3_Modus_Ponens
```bash
uv run python -m runtime.harness scripts/z3_solve.py prove "Implies(And(p, Implies(p,q)), q)"
```

## Cognitive Tools Reference

See `.claude/skills/math-mode/SKILL.md` for full tool documentation.

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