docs(uiux): UIUX 设计方案大改 + 5 份作业指导书对齐 + 开发任务文档

- UIUX 文档：填充 19 个缺口（多主体画像/健康度/AI+看板/增长域/洞察域/创始人端/OODA/助推/商密）
- UIUX 文档：插入 6 个新章节（十四~十九），旧章节重编号为二十~三十一，更新目录和交叉引用
- 作业指导书 x5：导航改为 6 域分组，新增 Context Bar/工作模式/Insight Rail/决策线程/多工作区等 UI 概念
- 新建 docs/2-task-uiux.md：50 个代码落地开发任务，按 P0-P6 分优先级 + 8 Sprint 规划
- 后端/前端：大量新增模型、路由、组件（来自之前 Phase 开发）

backend/app/routers/talents.py

@@ -0,0 +1,72 @@
+"""人才路由。"""
+
+from fastapi import APIRouter, Depends, Query, status
+from sqlalchemy import select
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.core.database import get_db
+from app.core.dependencies import get_current_user
+from app.models.talent import TalentProfile, TeamMember
+from app.models.user import User
+from app.schemas.common import ApiResponse, success
+from app.services.talent_agent import predict_talent_flow, recommend_talent
+
+router = APIRouter(prefix="/talents", tags=["talents"])
+
+
+@router.get("", response_model=ApiResponse[list])
+async def list_talents(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
+    """获取人才池列表。"""
+    result = await db.execute(
+        select(TalentProfile).where(TalentProfile.tenant_id == user.tenant_id)
+    )
+    items = result.scalars().all()
+    return success(data=[
+        {
+            "id": str(i.id),
+            "name": i.name,
+            "current_role": i.current_role,
+            "current_company": i.current_company,
+            "skills": i.skills,
+            "performance_rating": i.performance_rating,
+            "potential_rating": i.potential_rating,
+            "nine_box": i.nine_box,
+            "flow_prediction": i.flow_prediction,
+            "status": i.status,
+        }
+        for i in items
+    ])
+
+
+@router.post("/predict-flow", response_model=ApiResponse[dict])
+async def predict_flow(req: dict, user: User = Depends(get_current_user)):
+    """AI 预测人才流动。"""
+    result = await predict_talent_flow(req.get("talent_data", ""))
+    return success(data=result)
+
+
+@router.post("/recommend", response_model=ApiResponse[list])
+async def recommend(req: dict, user: User = Depends(get_current_user)):
+    """AI 推荐人才。"""
+    results = await recommend_talent(req.get("company_need", ""), req.get("talent_pool", ""))
+    return success(data=results)
+
+
+@router.get("/team-members", response_model=ApiResponse[list])
+async def list_team_members(company_id: str = Query(...), db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
+    """获取企业团队成员列表。"""
+    result = await db.execute(
+        select(TeamMember).where(TeamMember.company_id == company_id)
+    )
+    items = result.scalars().all()
+    return success(data=[
+        {
+            "id": str(i.id),
+            "name": i.name,
+            "role": i.role,
+            "is_key_person": i.is_key_person,
+            "stability_score": i.stability_score,
+            "joined_at": i.joined_at.isoformat() if i.joined_at else None,
+        }
+        for i in items
+    ])