39 lines
1.0 KiB
Markdown
39 lines
1.0 KiB
Markdown
# Skill Evolution Simulation
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## Overview
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Lifelong learning skill library with composition and refinement, based on Voyager's skill management system.
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## Purpose
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Demonstrate reusable skill acquisition, storage, and retrieval for autonomous agents.
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## Operations
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- **Skills Created**: 5-10 per iteration
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- **Skill Search**: Semantic similarity-based
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- **Composition**: Combining multiple skills
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- **Success Tracking**: Usage and effectiveness metrics
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## Results
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- **Throughput**: 3.00 ops/sec
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- **Latency**: 323ms avg
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- **Skills Stored**: 5 skills
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- **Search Results**: 0-5 per query (depends on corpus)
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- **Avg Success Rate**: 91.6%
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## Technical Details
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```typescript
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await skills.createSkill({
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name: 'jwt_authentication',
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description: 'Generate and verify JWT tokens',
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code: 'function generateJWT(payload) { ... }',
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successRate: 0.95
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});
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```
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## Applications
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- Code generation systems
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- Robotic task planning
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- Game AI skill trees
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- Automated programming
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**Status**: ✅ Operational | **Inspiration**: Voyager (Wang et al., 2023)
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