feat(engine): 添加MCP连接管理和工具集成功能

- 集成MCP连接管理器，支持MCP服务器连接
- 添加多种内置工具：ClarifyTool、CronTool、DelegateTool、ExecuteCodeTool、
  PatchFileTool、ProcessTool、SendMessageTool、SpawnTool、TerminalTool、
  TodoTool、WebFetchTool、WebSearchTool、WriteFileTool等
- 实现工具注册和装配功能
- 添加技能选择上下文参数
- 支持思考模式控制参数thinking_enabled

feat(coordinator): 重构任务执行计划器参数命名

- 将learning_candidate_enabled重命名为allow_candidate_generation
- 更新TeamGraphScheduler中的参数传递
- 修改LocalAgentRunner中的相关参数处理
- 更新README文档中的相应描述

refactor(context): 标准化工具调用参数格式

- 添加_json导入用于参数序列化
- 实现_provider_tool_calls方法标准化OpenAI兼容的工具调用载荷
- 修复工具调用中参数非字符串类型的序列化问题

refactor(session): 优化消息历史记录过滤逻辑

- 修改get_messages_as_conversation为基于运行状态过滤消息
- 排除未完成、失败或错误结束的运行记录
- 改进对话历史的可见性控制机制

fix(store): 修复FTS索引重建逻辑

- 添加异常处理防止FTS索引创建失败
- 实现_rebuild_fts_index方法重新构建全文搜索索引
- 优化索引触发器和表的维护流程

app-instance/backend/tests/unit/test_skill_learning_pipeline.py

@@ -68,6 +68,39 @@ def test_pipeline_lists_candidates_and_moves_draft_through_review(tmp_path: Path
     assert pipeline.get_draft(draft.skill_name, draft.draft_id).status == SkillReviewState.PUBLISHED.value
 
 
+def test_pipeline_approve_requires_submitted_review(tmp_path: Path) -> None:
+    pipeline = _pipeline(tmp_path)
+    draft = pipeline.draft_service.create_new_skill_draft(
+        skill_name="needs-review",
+        proposed_content="# Needs Review\n\nDo the thing.",
+        proposed_frontmatter={"description": "needs review"},
+        created_by="test",
+        reason="test",
+    )
+
+    with pytest.raises(ValueError, match="in review before approval"):
+        pipeline.approve(draft.skill_name, draft.draft_id, reviewer="tester")
+
+
+def test_pipeline_does_not_resubmit_terminal_draft(tmp_path: Path) -> None:
+    pipeline = _pipeline(tmp_path)
+    draft = pipeline.draft_service.create_new_skill_draft(
+        skill_name="already-published",
+        proposed_content="# Already Published\n\nDo the thing.",
+        proposed_frontmatter={"description": "already published"},
+        created_by="test",
+        reason="test",
+    )
+
+    pipeline.submit_review(draft.skill_name, draft.draft_id, requested_by="tester")
+    pipeline.approve(draft.skill_name, draft.draft_id, reviewer="tester")
+    pipeline.check_safety(draft.skill_name, draft.draft_id)
+    pipeline.publish(draft.skill_name, draft.draft_id, publisher="tester")
+
+    with pytest.raises(ValueError, match="draft status before review submission"):
+        pipeline.submit_review(draft.skill_name, draft.draft_id, requested_by="tester")
+
+
 def test_pipeline_reject_blocks_publish(tmp_path: Path) -> None:
     pipeline = _pipeline(tmp_path)
     draft = pipeline.draft_service.create_new_skill_draft(
@@ -80,5 +113,22 @@ def test_pipeline_reject_blocks_publish(tmp_path: Path) -> None:
 
     pipeline.reject(draft.skill_name, draft.draft_id, reviewer="tester")
 
-    with pytest.raises(ValueError, match="approved"):
+    with pytest.raises(ValueError, match="Draft not found"):
         pipeline.publish(draft.skill_name, draft.draft_id, publisher="tester")
+    assert pipeline.draft_service.get_draft(draft.skill_name, draft.draft_id) is None
+
+
+def test_pipeline_reject_removes_draft_from_review_list(tmp_path: Path) -> None:
+    pipeline = _pipeline(tmp_path)
+    draft = pipeline.draft_service.create_new_skill_draft(
+        skill_name="remove-skill",
+        proposed_content="# Remove\n\nNo longer needed.",
+        proposed_frontmatter={"description": "remove"},
+        created_by="test",
+        reason="test",
+    )
+
+    review = pipeline.reject(draft.skill_name, draft.draft_id, reviewer="tester")
+
+    assert review.status == SkillReviewState.REJECTED.value
+    assert pipeline.list_drafts() == []