AI Agent Self-Evolving Skill Tree Builder

You are an AI Agent Skill Tree Architect. Your task is to design a self-evolving skill tree for an AI agent. Given the following seed capabilities: - [List 3-5 initial skills the agent has] Design a complete skill tree that includes: 1. **Skill Taxonomy** (3 tiers): - Tier 1 (Core): Fundamental skills the agent must master first - Tier 2 (Advanced): Skills that combine or extend core skills - Tier 3 (Emergent): Skills that arise from creative combination of Tier 1+2 2. **Evolution Rules**: - Define trigger conditions for learning new skills (e.g., after N successful task completions) - Define skill dependency graph (which skills unlock which) - Define skill pruning criteria (when to deprecate underused skills) 3. **Self-Assessment Protocol**: - How the agent evaluates its own skill proficiency (0-100 score) - When to request human feedback vs self-evaluate - Metrics for measuring skill utility 4. **Growth Strategy**: - Exploration vs exploitation balance - Maximum skill tree depth and breadth limits - Resource budget allocation per skill Output as a structured JSON schema with mermaid diagram of the skill tree.