feat(outlook): 添加Outlook集成功能支持

添加完整的Outlook MCP集成，包括邮件和日历功能，通过AuthZ模式进行认证和权限管理，
支持邮箱连接、断开、状态检查和数据同步等功能。

fix(config): 统一配置文件路径从.nanobot到.beaver

将配置文件路径从/root/.nanobot统一更改为/root/.beaver，更新Dockerfile中的环境变量定义，
确保所有组件使用一致的配置目录结构。

feat(agent): 添加代理删除功能和助手身份提示

为代理注册表添加delete_agent方法，实现代理的动态删除功能；同时添加海狸助手身份提示，
确保AI助手在交互中保持一致的身份认知。

feat(engine): 增强引擎循环并添加意图决策快照

扩展AgentLoop类，添加intent_agent_decision参数用于意图驱动的代理决策，并在会话中记录
决策快照，便于后续分析和调试。

feat(authz): 扩展认证客户端功能

为AuthzClient添加设置权限、用户注册、后端注册和Outlook设置管理等新方法，增强系统
的认证和授权能力。

app-instance/backend/beaver/skills/learning/service.py

@@ -181,7 +181,7 @@ class SkillLearningService:
         if candidate.kind == "new_skill":
             payload = await self.synthesizer.synthesize_new_skill(candidate, packet, provider, model)
             return self.draft_service.create_new_skill_draft(
-                skill_name=self._suggest_skill_name(candidate, packet),
+                skill_name=self._suggest_skill_name(candidate, packet, payload.get("frontmatter")),
                 proposed_content=payload["content"],
                 proposed_frontmatter=payload["frontmatter"],
                 created_by="learning-loop",
@@ -382,15 +382,34 @@ class SkillLearningService:
         return " ".join(words[:8]).strip()
 
     @staticmethod
-    def _suggest_skill_name(candidate: SkillLearningCandidate, packet: EvidencePacket) -> str:
+    def _suggest_skill_name(
+        candidate: SkillLearningCandidate,
+        packet: EvidencePacket,
+        frontmatter: dict[str, Any] | None = None,
+    ) -> str:
         if candidate.related_skill_names:
             return candidate.related_skill_names[0]
-        if packet.task_summaries:
-            seed = re.sub(r"[^a-z0-9]+", "-", packet.task_summaries[0].lower()).strip("-")
+        if isinstance(frontmatter, dict):
+            description = str(frontmatter.get("description") or "")
+            seed = SkillLearningService._slugify_skill_name(description)
             if seed:
-                return seed[:48]
+                return seed
+        if packet.task_summaries:
+            seed = SkillLearningService._slugify_skill_name(packet.task_summaries[0])
+            if seed:
+                return seed
         return f"generated-skill-{uuid4().hex[:8]}"
 
+    @staticmethod
+    def _slugify_skill_name(value: str) -> str:
+        seed = re.sub(r"[^a-z0-9]+", "-", value.lower()).strip("-")
+        seed = re.sub(r"-+", "-", seed)
+        if not seed or seed.isdigit() or len(seed) < 3:
+            return ""
+        words = [part for part in seed.split("-") if part and not part.isdigit()]
+        seed = "-".join(words) or seed
+        return seed[:48].strip("-")
+
     @staticmethod
     def _parse_timestamp(value: str) -> datetime | None:
         try: