Back to list
agentAI Agent技能树自进化架构设计
AI Agent 自进化技能树构建器
帮助你设计一个能自我学习和成长的 AI Agent,从种子技能出发自动扩展技能树
6 views4/16/2026
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:
-
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
-
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)
-
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
-
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.