diff --git a/pipeline_service/agent_loop_v2.py b/pipeline_service/agent_loop_v2.py
index 5386720..2308f8b 100644
--- a/pipeline_service/agent_loop_v2.py
+++ b/pipeline_service/agent_loop_v2.py
@@ -287,35 +287,7 @@ class AgentExecutor:
 
     async def _init_components(self):
         """懒加载各组件"""
-        # Tool Registry
-        try:
-            from pipeline_core.tool_registry import get_tool_registry
-            self._tool_registry = get_tool_registry()
-            # 把 config.tools 注册进 registry（registry 是全局单例，可能为空）
-            if self._tool_registry and self.config.tools:
-                existing = set(self._tool_registry.get_tool_names())
-                for t in self.config.tools:
-                    if t.name not in existing:
-                        self._tool_registry.register(t)
-        except ImportError:
-            self._tool_registry = None
-
-        # Skill Loader — 三级隔离
-        try:
-            from pipeline_core.skill_loader import get_skill_loader
-            base_dir = self.config.skills.base_dir
-            self._skill_loader = get_skill_loader(base_dir)
-        except ImportError:
-            self._skill_loader = None
-
-        # Memory Store
-        try:
-            from pipeline_core.memory_store import get_memory_store
-            self._memory_store = get_memory_store()
-        except ImportError:
-            self._memory_store = None
-
-        # 加载 org_id + workspace_dir + pipeline_id（从项目上下文）
+        # 1. 加载 org_id + workspace_dir + pipeline_id（从项目上下文，需先于 skill 加载）
         if self.project_id:
             try:
                 from sqlor.dbpools import DBPools
@@ -333,7 +305,37 @@ class AgentExecutor:
             except Exception:
                 pass
 
-        # pipeline_id 为空时 fallback 到默认产线（保证 slash/ability/skill 统一按产线挂载）
+        # 2. Tool Registry
+        try:
+            from pipeline_core.tool_registry import get_tool_registry
+            self._tool_registry = get_tool_registry()
+            # 把 config.tools 注册进 registry（registry 是全局单例，可能为空）
+            if self._tool_registry and self.config.tools:
+                existing = set(self._tool_registry.get_tool_names())
+                for t in self.config.tools:
+                    if t.name not in existing:
+                        self._tool_registry.register(t)
+        except ImportError:
+            self._tool_registry = None
+
+        # 3. Skill Loader — base_dir 动态解析到机构工作目录（多租户隔离）
+        try:
+            from pipeline_core.skill_loader import get_skill_loader
+            base_dir = await self._resolve_skills_base_dir()
+            self._skill_loader = get_skill_loader(base_dir)
+            if base_dir:
+                self._skill_loader.reload()
+        except Exception:
+            self._skill_loader = None
+
+        # 4. Memory Store
+        try:
+            from pipeline_core.memory_store import get_memory_store
+            self._memory_store = get_memory_store()
+        except ImportError:
+            self._memory_store = None
+
+        # 5. pipeline_id 为空时 fallback 到默认产线（保证 slash/ability/skill 统一按产线挂载）
         if not self.pipeline_id:
             try:
                 from pipeline_core import DEFAULT_ABILITY_ID
@@ -341,6 +343,20 @@ class AgentExecutor:
             except ImportError:
                 pass
 
+    async def _resolve_skills_base_dir(self):
+        """技能根目录 = 机构工作目录/skills/（多租户隔离，不在全局应用目录）。"""
+        try:
+            from sqlor.dbpools import DBPools
+            from pipeline_service.workspace import get_workspace_base
+            from pipeline_core.skill_pack import ensure_org_skills
+            db = DBPools()
+            async with db.sqlorContext("pipeline") as sor:
+                ws_base = await get_workspace_base(sor)
+            org_id = self.org_id or '0'
+            return ensure_org_skills(ws_base, org_id)
+        except Exception:
+            return self.config.skills.base_dir
+
     async def _build_system_prompt(self, user_input: str) -> str:
         """组装完整 system prompt = 基础 prompt + 记忆 + 技能 + 工具列表"""
         prompt = self.config.system_prompt