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README.md

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+# Self-Evolving Skill - OpenClaw集成
+
+## 项目结构
+
+```
+self-evolving-skill/
+├── core/                    # Python核心模块
+│   ├── residual_pyramid.py   # 残差金字塔分解
+│   ├── reflection_trigger.py  # 自适应触发器
+│   ├── experience_replay.py  # 经验回放
+│   ├── skill_engine.py       # 核心引擎
+│   ├── storage.py           # 持久化
+│   └── mcp_server.py        # MCP服务器
+├── src/                     # TypeScript封装
+│   ├── index.ts            # 主入口
+│   ├── cli.ts              # CLI
+│   └── mcp-tools.ts        # MCP工具定义
+├── skills/                 # 供OpenClaw调用
+│   └── self-evolving-skill/  # OpenClaw Skill
+├── SKILL.md                # 技能文档
+├── package.json
+└── README.md
+```
+
+## 安装到OpenClaw
+
+```bash
+# 方式1: 链接到OpenClaw skills目录
+cd skills/self-evolving-skill
+npm install
+npm run build
+
+# 链接
+ln -s $(pwd)/skills/self-evolving-skill ~/.openclaw/skills/self-evolving-skill
+
+# 方式2: 通过ClawHub
+clawhub install self-evolving-skill
+```
+
+## OpenClaw中调用
+
+```typescript
+// 直接调用MCP工具
+const result = await useTool('skill_create', {
+  name: 'ProblemSolver'
+});
+
+const analysis = await useTool('skill_analyze', {
+  embedding: [0.1, 0.2, 0.3, ...]
+});
+```
+
+## MCP工具列表
+
+| 工具 | 描述 | 参数 |
+|------|------|------|
+| `skill_create` | 创建Skill | `name`, `description` |
+| `skill_execute` | 执行并学习 | `skill_id`, `context`, `success` |
+| `skill_analyze` | 分析嵌入 | `embedding` |
+| `skill_list` | 列出Skills | - |
+| `skill_stats` | 系统统计 | - |
+| `skill_save` | 持久化保存 | `skill_id` |
+| `skill_load` | 加载 | `skill_id` |
+
+## 示例
+
+```typescript
+// 1. 创建Skill
+const skill = await useTool('skill_create', {
+  name: 'TextAnalyzer',
+  description: '文本分析自学习Skill'
+});
+
+// 2. 执行并观察学习
+const result = await useTool('skill_execute', {
+  skill_id: skill.skill_id,
+  context: { task: 'sentiment' },
+  success: true,
+  value: 1.0
+});
+
+console.log('反思触发:', result.reflection_triggered);
+
+// 3. 分析新输入
+const analysis = await useTool('skill_analyze', {
+  embedding: generateEmbedding(text)
+});
+```
+
+## 配置
+
+在OpenClaw配置文件中：
+
+```yaml
+skills:
+  self-evolving-skill:
+    max_layers: 5
+    energy_threshold: 0.1
+    similarity_threshold: 0.85
+    target_trigger_rate: 0.15
+    storage_dir: ~/.openclaw/self-evolving
+```