xu-xiang/everything-claude-code-zh/continuous-learning-v2

---
id: prefer-functional-style
trigger: "when writing new functions"
confidence: 0.7
domain: "code-style"
source: "session-observation"
scope: project
project_id: "a1b2c3d4e5f6"
project_name: "my-react-app"
---
 
# 偏好函数式风格
 
## 动作（Action）
在适当时使用函数式模式而非类（classes）。
 
## 证据（Evidence）
- 观察到 5 次偏好函数式模式的实例
- 用户在 2025-01-15 将基于类的方案纠正为函数式

会话活动 (在 git 仓库中)
      |
      | 钩子（Hooks）捕获提示词 + 工具使用 (100% 可靠)
      | + 检测项目上下文 (git remote / 仓库路径)
      v
+---------------------------------------------+
|  projects/<project-hash>/observations.jsonl  |
|   (提示词, 工具调用, 结果, 项目)              |
+---------------------------------------------+
      |
      | 观察者智能体读取 (后台, Haiku)
      v
+---------------------------------------------+
|                模式检测                      |
|   * 用户纠正 -> 本能                         |
|   * 错误解决 -> 本能                         |
|   * 重复工作流 -> 本能                       |
|   * 作用域决策：项目还是全局？                |
+---------------------------------------------+
      |
      | 创建/更新
      v
+---------------------------------------------+
|  projects/<project-hash>/instincts/personal/ |
|   * prefer-functional.yaml (0.7) [project]   |
|   * use-react-hooks.yaml (0.9) [project]     |
+---------------------------------------------+
|  instincts/personal/  (全局 GLOBAL)          |
|   * always-validate-input.yaml (0.85) [global]|
|   * grep-before-edit.yaml (0.6) [global]     |
+---------------------------------------------+
      |
      | /evolve 聚类 + /promote 提升
      v
+---------------------------------------------+
|  projects/<hash>/evolved/ (项目作用域)       |
|  evolved/ (全局)                             |
|   * commands/new-feature.md                  |
|   * skills/testing-workflow.md               |
|   * agents/refactor-specialist.md            |
+---------------------------------------------+

{
  "hooks": {
    "PreToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/hooks/observe.sh"
      }]
    }],
    "PostToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/hooks/observe.sh"
      }]
    }]
  }
}

{
  "hooks": {
    "PreToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh"
      }]
    }],
    "PostToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh"
      }]
    }]
  }
}

# 全局目录
mkdir -p ~/.claude/homunculus/{instincts/{personal,inherited},evolved/{agents,skills,commands},projects}
 
# 项目目录会在钩子首次在 git 仓库中运行时自动创建

/instinct-status     # 显示已学习的本能 (项目 + 全局)
/evolve              # 将相关的本能聚类为技能/命令
/instinct-export     # 将本能导出到文件
/instinct-import     # 从他人处导入本能
/promote             # 将项目本能提升到全局作用域
/projects            # 列出所有已知的项目及其本能数量

{
  "version": "2.1",
  "observer": {
    "enabled": false,
    "run_interval_minutes": 5,
    "min_observations_to_analyze": 20
  }
}

~/.claude/homunculus/
+-- identity.json           # 你的个人资料，技术水平
+-- projects.json           # 注册表：项目哈希 -> 名称/路径/远程地址
+-- observations.jsonl      # 全局观察结果 (回退方案)
+-- instincts/
|   +-- personal/           # 全局自动学习的本能
|   +-- inherited/          # 全局导入的本能
+-- evolved/
|   +-- agents/             # 全局生成的智能体
|   +-- skills/             # 全局生成的技能
|   +-- commands/           # 全局生成的命令
+-- projects/
    +-- a1b2c3d4e5f6/       # 项目哈希 (来自 git remote URL)
    |   +-- observations.jsonl
    |   +-- observations.archive/
    |   +-- instincts/
    |   |   +-- personal/   # 项目特定的自动学习
    |   |   +-- inherited/  # 项目特定的导入
    |   +-- evolved/
    |       +-- skills/
    |       +-- commands/
    |       +-- agents/
    +-- f6e5d4c3b2a1/       # 另一个项目
        +-- ...

# 提升特定的本能
python3 instinct-cli.py promote prefer-explicit-errors
 
# 自动提升所有符合条件的本能
python3 instinct-cli.py promote
 
# 预览而不应用更改
python3 instinct-cli.py promote --dry-run