# Skill Evolution Simulation

## Overview
Lifelong learning skill library with composition and refinement, based on Voyager's skill management system.

## Purpose
Demonstrate reusable skill acquisition, storage, and retrieval for autonomous agents.

## Operations
- **Skills Created**: 5-10 per iteration
- **Skill Search**: Semantic similarity-based
- **Composition**: Combining multiple skills
- **Success Tracking**: Usage and effectiveness metrics

## Results
- **Throughput**: 3.00 ops/sec
- **Latency**: 323ms avg
- **Skills Stored**: 5 skills
- **Search Results**: 0-5 per query (depends on corpus)
- **Avg Success Rate**: 91.6%

## Technical Details
```typescript
await skills.createSkill({
  name: 'jwt_authentication',
  description: 'Generate and verify JWT tokens',
  code: 'function generateJWT(payload) { ... }',
  successRate: 0.95
});
```

## Applications
- Code generation systems
- Robotic task planning
- Game AI skill trees
- Automated programming

**Status**: ✅ Operational | **Inspiration**: Voyager (Wang et al., 2023)