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

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)

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