--- name: toc-section-parsing-888b2178bfac description: 用于长文档章节树的目录与章节结构解析原子 skill，适用于通用行业文档解析场景。 --- # 目录与章节结构解析 Skill ## 数据来源 本 Skill 支持多种长文档输入格式，核心数据来源包括： ### 1. 文档类型 - **报告文档**：年度报告、研究报告、分析报告 - **书籍文档**：书籍、手册、指南 - **法律文档**：法律条文、法规文件、合同文档 - **技术文档**：技术规范、技术文档、用户手册 ### 2. 文档格式 - **PDF格式**：PDF格式的长文档 - **Word格式**：Word格式的长文档 - **HTML格式**：网页格式的长文档 - **Markdown格式**：Markdown格式的长文档 ### 3. 文档特征 - **文档长度**：长文档（>50页）、超长文档（>200页） - **章节结构**：多级章节、复杂层级结构 - **目录格式**：标准目录、自定义目录格式 - **文档语言**：中文、英文、多语言混合 ### 4. 数据格式要求 - **文件路径**：本地文件路径或网络文件URL - **文件编码**：UTF-8、GBK、GB2312等 - **文件权限**：需要读取权限 > 说明：本 Skill 不包含文档采集功能，需要用户提供长文档文件。建议文档格式规范，以便进行准确的目录和章节结构解析。 --- ## 功能 本 Skill 提供全面的目录与章节结构解析能力，涵盖多种解析功能： ### 1. 目录识别 - **目录定位**：定位文档中的目录位置 - **目录结构识别**：识别目录的层级结构 - **目录项提取**：提取目录项和页码信息 - **目录格式识别**：识别目录的格式和样式 ### 2. 章节识别 - **章节标题识别**：识别文档中的章节标题 - **章节层级识别**：识别章节的层级结构 - **章节编号识别**：识别章节的编号规则 - **章节位置定位**：定位章节在文档中的位置 ### 3. 章节树构建 - **章节树生成**：生成完整的章节树结构 - **章节关系识别**：识别章节之间的父子关系 - **章节层级标注**：标注章节的层级级别 - **章节路径生成**：生成章节的完整路径 ### 4. 章节内容提取 - **章节内容提取**：提取章节的具体内容 - **章节边界识别**：识别章节的起始和结束位置 - **章节摘要生成**：生成章节的摘要 - **章节关键词提取**：提取章节的关键词 ### 5. 章节导航 - **章节导航生成**：生成章节导航结构 - **章节跳转链接**：生成章节跳转链接 - **章节索引构建**：构建章节索引 - **章节搜索支持**：支持章节搜索功能 ### 6. 高级处理功能 - **目录验证**：验证目录的准确性 - **章节完整性检查**：检查章节的完整性 - **章节结构标准化**：标准化章节结构 - **章节报告生成**：生成章节结构报告 --- ## 使用示例 ### 输出示例 ```json { "source_info": { "document_id": "DOC001", "document_type": "annual_report", "source_file": "annual_report.pdf", "page_count": 200 }, "table_of_contents": { "toc_location": { "start_page": 3, "end_page": 10 }, "toc_items": [ { "level": 1, "title": "第一章 公司概况", "page": 15, "section_id": "SEC001" }, { "level": 2, "title": "1.1 公司基本信息", "page": 15, "section_id": "SEC002" }, { "level": 1, "title": "第二章 财务数据", "page": 50, "section_id": "SEC003" } ] }, "section_tree": { "root": { "section_id": "ROOT", "title": "文档根节点", "level": 0, "children": [ { "section_id": "SEC001", "title": "第一章 公司概况", "level": 1, "page": 15, "path": ["第一章 公司概况"], "children": [ { "section_id": "SEC002", "title": "1.1 公司基本信息", "level": 2, "page": 15, "path": ["第一章 公司概况", "1.1 公司基本信息"], "children": [] } ] }, { "section_id": "SEC003", "title": "第二章 财务数据", "level": 1, "page": 50, "path": ["第二章 财务数据"], "children": [] } ] } }, "sections": [ { "section_id": "SEC001", "title": "第一章 公司概况", "level": 1, "start_page": 15, "end_page": 49, "content_preview": "公司概况内容...", "keywords": ["公司", "概况", "基本信息"] } ], "statistics": { "total_sections": 20, "max_level": 3, "average_section_length": 10, "parsing_confidence": 0.94 } } ``` --- ## 注意事项与限制 ### 1. 文档格式要求 - 标准格式文档解析准确率较高 - 非标准格式可能影响解析 - 扫描版文档需要OCR支持 ### 2. 目录识别准确性 - 标准目录格式识别准确率较高 - 非标准目录可能需要人工处理 - 复杂目录可能需要人工分析 ### 3. 章节识别准确性 - 标准章节格式识别准确率较高 - 非标准章节可能需要人工处理 - 复杂章节结构可能需要人工分析 ### 4. 章节层级 - 标准层级结构识别准确率较高 - 非标准层级可能需要人工处理 - 深层嵌套可能需要特殊处理 ### 5. 使用限制 - 本 Skill 不包含文档编辑功能 - 解析结果需要人工复核 - 复杂文档可能需要人工处理 --- ## 参考资料 - 见 references/ 目录中的相关文档，包括： - 目录与章节结构解析方法手册 - 章节识别算法说明 - 章节树构建指南 - 性能优化指南 --- Source attribution: aifinlab Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/archive/toc-section-parsing/SKILL.md License: Apache-2.0 License information: https://www.apache.org/licenses/LICENSE-2.0 Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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