feat(skills and model):

1. Add the "Skills" module;
 2. The loading of the model square has been modified to be controlled through environment variables;
 3. Dynamic scheduling of the skill binding tool;
 4. Agent Integration Skills

api/app/main.py

@@ -50,13 +50,16 @@ async def lifespan(app: FastAPI):
         logger.info("自动数据库升级已禁用 (DB_AUTO_UPGRADE=false)")
 
     # 加载预定义模型
-    logger.info("开始加载预定义模型...")
-    try:
-        with get_db_context() as db:
-            result = load_models(db, silent=True)
-            logger.info(f"预定义模型加载完成: 成功{result['success']}个, 跳过{result['skipped']}个, 失败{result['failed']}个")
-    except Exception as e:
-        logger.warning(f"加载预定义模型时出错: {str(e)}")
+    if settings.LOAD_MODEL:
+        logger.info("开始加载预定义模型...")
+        try:
+            with get_db_context() as db:
+                result = load_models(db, silent=True)
+                logger.info(f"预定义模型加载完成: 成功{result['success']}个, 跳过{result['skipped']}个, 失败{result['failed']}个")
+        except Exception as e:
+            logger.warning(f"加载预定义模型时出错: {str(e)}")
+    else:
+        logger.info("预定义模型加载已禁用 (LOAD_MODEL=false)")
 
     logger.info("应用程序启动完成")
     yield