# OpenClaw Skill Configuration for Self-Evolving Skill

name: self-evolving-skill
displayName: Self-Evolving Skill
description: Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms
version: 1.0.2
category: learning

# Skill入口
main: src/index.ts

# 依赖
dependencies:
  typescript: ^5.0.0

# 配置
config:
  defaults:
    max_layers: 5
    energy_threshold: 0.1
    min_energy_ratio: 0.10
    value_gain_threshold: 0.20
    target_trigger_rate: 0.15
    similarity_threshold: 0.85
    cache_capacity: 1000
  storage:
    type: filesystem
    path: ~/.openclaw/self-evolving-skill

# MCP工具定义
mcp:
  enabled: true
  tools:
    - name: skill_create
      description: 创建新的自演化Skill
    - name: skill_execute  
      description: 执行Skill并触发学习
    - name: skill_analyze
      description: 分析嵌入向量
    - name: skill_list
      description: 列出所有Skill
    - name: skill_stats
      description: 获取系统统计
    - name: skill_save
      description: 持久化保存
    - name: skill_load
      description: 加载已保存的Skill

# 脚本
scripts:
  build: tsc
  test: jest

keywords:
  - self-evolution
  - meta-cognition
  - predictive-coding
  - skill-learning
  - adaptive

author: OpenClaw
license: MIT