Convert document formats and extract text using Python libraries and CLI tools.
npx skills add https://github.com/ntygod/ZhiWei --skill doc-processor-ntygod
Please help me install this Agent Skill. Skill: doc-processor Source: https://github.com/ntygod/ZhiWei/tree/main/src/main/resources/skills/doc-processor Command: npx skills add https://github.com/ntygod/ZhiWei --skill doc-processor-ntygod
这项技能帮助用户自动化文档处理工作流，涵盖格式转换、文本提取、Excel 读写、以及文档合并等场景，显著减少重复劳动并提升一致性。
将输入的 Markdown 转换为 DOCX，并按需求导出为 HTML、PDF 或 Excel。
High-intent search queries and answers about installing and using this skill.
You can convert Markdown to DOCX while preserving structure by automating the document processing workflow with Python libraries. This approach ensures formatting and styles remain intact during the Markdown to DOCX conversion.
The best way to extract text and tables from PDF and Excel files is using an automated document processing workflow. It utilizes Python libraries to pull text, tables, and metadata, outputting structured data for reuse.
Yes, this document conversion approach supports batch processing and merging. It handles both single-file and batch tasks, allowing you to merge outputs as needed for archiving and automated report generation.
Yes, you need specific Python dependencies installed to automate PDF and DOCX conversion. The workflow relies on libraries like python-docx, openpyxl, python-pptx, and pypdf, including built-in dependency checks.
Yes, you can extract metadata from Word documents without losing formatting. The extraction process targets text, tables, and metadata while applying safe operations to preserve the original document structure.
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