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技能集市 > AI智能 > doc-analysis
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文档结构分析

技能标识：doc-analysis

Analyze the structure, layout, and content of Word documents (.doc, .docx) using MinerU. Returns structured Markdown with headings, paragraphs, tables, and layout information preserved. Features: deep document analysis preserving structure hierarchy. Extracts headings, lists, tables, and paragraph boundaries. Supports legacy .doc and modern .docx. Full analysis mode reveals document layout and formatting patterns. Use when you need to: analyze a Word document's content, understand document struc

作者：admin | 来源记录：ClawHub
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V 0.4.0
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来源与检测标记为平台登记信息，并不代表已展示可复核的检测报告。使用前请核对版本、依赖和所需权限，建议先在隔离环境中运行。
概述
安装方式
版本历史

文档结构分析

文档分析

使用MinerU分析并提取Word（.doc/.docx）文件中的结构化内容。返回保留布局、标题和结构的Markdown格式。

安装

bash
npm install -g mineru-open-api

或通过Go安装（macOS/Linux）：


go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest

快速开始

bash

分析.docx文件（需要令牌）


mineru-open-api extract report.docx -o ./out/

分析.doc文件（需要令牌）

mineru-open-api extract report.doc -o ./out/

指定语言

mineru-open-api extract report.docx --language en -o ./out/

身份验证

需要令牌：

bash
mineru-open-api auth # 交互式令牌设置
export MINERU_TOKEN=your-token # 或通过环境变量设置

在以下地址创建令牌：https://mineru.net/apiManage/token

功能特性

  • - 支持的输入格式：.doc、.docx（本地文件或URL）
  • 保留文档结构：标题、段落、列表、表格
  • 需要令牌（mineru-open-api auth或MINERU_TOKEN环境变量）
  • 通过--language指定语言提示（默认：ch，英文使用en）

注意事项

  • - .doc（旧版Word格式）仅支持extract命令（需要令牌）
  • .docx同时支持flash-extract（无需令牌，快速）和extract（完整功能）
  • 默认输出到标准输出；使用-o 保存到文件或目录
  • 所有进度/状态信息输出到标准错误；文档内容输出到标准输出
  • MinerU由OpenDataLab（上海人工智能实验室）开源：https://github.com/opendatalab/MinerU

标签

skill ai

通过对话安装

以下为平台配置的接入选项，并非逐项实测通过。能否安装取决于客户端支持、技能来源和运行环境：

OpenClaw WorkBuddy QClaw Kimi Claude

方式一：安装 SkillHub 和技能

帮我安装 SkillHub 和 doc-analysis-1775986871 技能

方式二：设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源，然后帮我安装 doc-analysis-1775986871 技能

通过命令行安装

skillhub install doc-analysis-1775986871

下载

⬇ 下载 doc-analysis v0.4.0（免费）

文件大小: 1.95 KB | 发布时间: 2026-4-13 10:03

v0.4.0 最新 2026-4-13 10:03
SEO: expand description for better ClawHub vector search discovery

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