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| name | financial-report-layout-parsing |
| description | 用于三表/附注拆分的财报版式解析原子 skill，适用于通用行业文档解析场景。 |
本 Skill 支持多种财务报表输入格式，核心数据来源包括：
说明：本 Skill 不包含文档采集功能，需要用户提供财务报表文件。建议报表格式规范，以便进行准确的版式解析。
本 Skill 提供全面的财报版式解析能力，涵盖多种解析功能：
{
"source_info": {
"document_id": "DOC001",
"document_type": "annual_report",
"report_period": "2024",
"source_file": "annual_report.pdf",
"page_count": 200
},
"report_structure": {
"sections": [
{
"section_id": "SEC001",
"section_name": "利润表",
"section_type": "income_statement",
"start_page": 50,
"end_page": 52,
"tables": [
{
A股逆向选择/信息不对称分析。当用户说"逆向选择"、"adverse selection"、"信息不对称"、"知情交易者"、"逆向选择成本"、"信息劣势"时触发。基于 cn-stock-data 获取数据，度量逆向选择与信息不对称程度。支持 formal/brief 两种输出风格。
A股量价异常检测/异动监控。当用户说"异常检测"、"异动"、"anomaly"、"量价异常"、"异常波动"、"XX有异动"时触发。量化检测股价和成交量异常。支持formal和brief风格。
A股自相关/序列相关性/收益率自相关结构分析。当用户说"自相关"、"autocorrelation"、"序列相关"、"收益率预测性"、"动量还是反转"、"自相关系数"、"ACF"、"PACF"、"Ljung-Box"、"收益率是否可预测"、"随机游走检验"时触发。MUST USE when user asks about return autocorrelation, serial correlation tests, or whether a stock's returns are predictable. 量化分析收益率的自相关结构（ACF/PACF、Ljung-Box检验、随机游走检验）。支持formal和brief风格。
Based on SOC occupation classification