refactor: migrate workflow to v2 core and archive legacy modules

core/skill_manager.py

@@ -0,0 +1,56 @@
+import os
+import glob
+import logging
+from pathlib import Path
+from typing import Dict, List, Optional
+
+logger = logging.getLogger("cs_agent")
+
+class SkillManager:
+    """
+    技能包管理器：
+    1. 自动扫描 skills/ 目录下的 SKILL.md 文件。
+    2. 提供按需加载和组合技能的能力。
+    3. 支持热加载（无需重启即可更新 AI 知识）。
+    """
+    def __init__(self, skills_dir: str = "skills"):
+        self.skills_dir = Path(skills_dir)
+        self._skill_cache: Dict[str, str] = {}
+        self.reload_skills()
+
+    def reload_skills(self):
+        """扫描并加载所有技能文件"""
+        new_cache = {}
+        skill_files = glob.glob(str(self.skills_dir / "**/SKILL.md"), recursive=True)
+        
+        for file_path in skill_files:
+            try:
+                path = Path(file_path)
+                skill_name = path.parent.name.lower()
+                content = path.read_text(encoding="utf-8")
+                new_cache[skill_name] = content
+            except Exception as e:
+                logger.error(f"[SkillManager] 加载技能失败 {file_path}: {e}")
+        
+        self._skill_cache = new_cache
+        logger.info(f"[SkillManager] 成功加载 {len(self._skill_cache)} 个技能包: {list(self._skill_cache.keys())}")
+
+    def get_skill(self, name: str) -> str:
+        """获取单个技能内容"""
+        return self._skill_cache.get(name.lower(), "")
+
+    def compose_skills(self, names: List[str]) -> str:
+        """组合多个技能内容，用于注入 System Prompt"""
+        parts = []
+        for name in names:
+            content = self.get_skill(name)
+            if content:
+                parts.append(f"### 技能：{name}\n{content}")
+        return "\n\n".join(parts)
+
+    def get_all_skills_text(self) -> str:
+        """获取所有技能的合集（用于全能大脑模式）"""
+        return self.compose_skills(list(self._skill_cache.keys()))
+
+# 全局单例
+skill_manager = SkillManager()