Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install a5c-ai-babysitter-library-specializations-algorithms-optimization-skills-proof-assgit clone https://github.com/a5c-ai/babysitter.gitcp babysitter/SKILL.MD ~/.claude/skills/a5c-ai-babysitter-library-specializations-algorithms-optimization-skills-proof-ass/SKILL.md---
name: proof-assistant
description: Assist in constructing algorithm correctness proofs
allowed-tools:
- Read
- Write
- Grep
- Glob
---
# Proof Assistant Skill
## Purpose
Assist in constructing formal correctness proofs for algorithms using standard proof techniques.
## Capabilities
- Proof structure templates (induction, contradiction, etc.)
- Step-by-step proof guidance
- Termination argument generation
- Proof review and validation
- Identify proof gaps
## Target Processes
- correctness-proof-testing
- algorithm-implementation
## Proof Techniques
### Mathematical Induction
- Base case identification
- Inductive hypothesis formulation
- Inductive step construction
### Proof by Contradiction
- Assumption negation
- Logical derivation
- Contradiction identification
### Loop Invariant Proofs
- Invariant specification
- Three-part proof (init, maintenance, termination)
### Structural Induction
- For recursive data structures
- Base case (leaf/empty)
- Inductive case (composite)
## Input Schema
```json
{
"type": "object",
"properties": {
"algorithm": { "type": "string" },
"code": { "type": "string" },
"proofType": {
"type": "string",
"enum": ["induction", "contradiction", "invariant", "structural"]
},
"claim": { "type": "string" },
"partialProof": { "type": "string" }
},
"required": ["algorithm", "claim"]
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"proof": { "type": "string" },
"structure": { "type": "array" },
"gaps": { "type": "array" },
"suggestions": { "type": "array" }
},
"required": ["success"]
}
```