feat(data): 添加每日筹码及胜率数据接口 (cyq_perf)

- 新增 api_cyq_perf 模块，支持筹码分布数据获取和同步
- 在 sync_registry 中注册 cyq_perf 同步器

docs/api/API_INTERFACE_SPEC.md

@@ -531,6 +531,7 @@ def get_{data_type}(
     start_date: Optional[str] = None,
     end_date: Optional[str] = None,
     ts_code: Optional[str] = None,
+    client: Optional[TushareClient] = None,  # 关键：可选客户端参数，用于共享速率限制
 ) -> pd.DataFrame:
     """Fetch {数据描述} from Tushare.
 
@@ -541,6 +542,9 @@ def get_{data_type}(
         start_date: Start date (YYYYMMDD format)
         end_date: End date (YYYYMMDD format)
         ts_code: Stock code filter (optional)
+        client: Optional TushareClient instance for shared rate limiting.
+                If None, creates a new client. For concurrent sync operations,
+                pass a shared client to ensure proper rate limiting.
 
     Returns:
         pd.DataFrame with columns:
@@ -552,12 +556,12 @@ def get_{data_type}(
     Example:
         >>> # Get all stocks for a single date
         >>> data = get_{data_type}(trade_date='20240101')
-        >>> 
+        >>>
         >>> # Get date range data
         >>> data = get_{data_type}(start_date='20240101', end_date='20240131')
     """
-    client = TushareClient()
-    
+    client = client or TushareClient()  # 如果没有提供则创建新实例
+
     # Build parameters
     params = {}
     if trade_date:
@@ -568,14 +572,14 @@ def get_{data_type}(
         params["end_date"] = end_date
     if ts_code:
         params["ts_code"] = ts_code
-    
+
     # Fetch data
     data = client.query("{tushare_api_name}", **params)
-    
+
     # Rename date column if needed
     if "date" in data.columns:
         data = data.rename(columns={"date": "trade_date"})
-    
+
     return data
 ```
 
@@ -596,6 +600,7 @@ def get_{data_type}(
     ts_code: str,
     start_date: Optional[str] = None,
     end_date: Optional[str] = None,
+    client: Optional[TushareClient] = None,  # 关键：可选客户端参数，用于共享速率限制
 ) -> pd.DataFrame:
     """Fetch {数据描述} for a specific stock.
 
@@ -603,20 +608,23 @@ def get_{data_type}(
         ts_code: Stock code (e.g., '000001.SZ')
         start_date: Start date (YYYYMMDD format)
         end_date: End date (YYYYMMDD format)
+        client: Optional TushareClient instance for shared rate limiting.
+                If None, creates a new client. For concurrent sync operations,
+                pass a shared client to ensure proper rate limiting.
 
     Returns:
         pd.DataFrame with {数据描述} data
     """
-    client = TushareClient()
-    
+    client = client or TushareClient()  # 如果没有提供则创建新实例
+
     params = {"ts_code": ts_code}
     if start_date:
         params["start_date"] = start_date
     if end_date:
         params["end_date"] = end_date
-    
+
     data = client.query("{tushare_api_name}", **params)
-    
+
     return data
 ```
 
@@ -751,6 +759,8 @@ Skill 会自动：
 - [ ] 已创建 `tests/test_{data_type}.py` 测试文件
 ### 10.2 接口实现
 - [ ] 数据获取函数使用 `TushareClient`
+- [ ] **关键**：数据获取函数接受 `client: Optional[TushareClient] = None` 参数用于共享速率限制
+- [ ] **关键**：Sync 类在 `fetch_single_date()` / `fetch_single_stock()` 中传递 `self.client`
 - [ ] 函数包含完整的 Google 风格文档字符串
 - [ ] 日期参数使用 `YYYYMMDD` 格式
 - [ ] 返回的 DataFrame 包含 `ts_code` 和 `trade_date` 字段
@@ -790,6 +800,6 @@ Skill 会自动：
 
 ---
 
-**最后更新**: 2026-02-23
+**最后更新**: 2026-03-26
 
-**版本**: v2.0 - 更新 DuckDB 存储规范，添加 Skill 自动化说明
+**版本**: v2.1 - 更新速率限制规范，强调多线程场景下 client 参数传递