docx▌

Convert Feishu/Lark cloud documents to Markdown for AI analysis and processing. \n \n Supports four document types: docx (with embedded images), sheets, bitable, and wiki pages, all exported as Markdown \n Includes CLI commands for export, OAuth setup, and credential management; also offers Python API for direct content retrieval \n Can output to files or stdout, with automatic image downloading and optional Markdown table formatting \n Token caching and auto-refresh eliminate re-authorization;

A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.

docx-to-markdown

A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.

Export Feishu/Lark cloud documents to Markdown for AI analysis, writing, and automation.

Use this skill when:

Create, read, edit, and analyze Word documents with full formatting control and tracked changes support. \n \n Supports reading, creating, and editing .docx files with comprehensive formatting options including tables, headers/footers, images, hyperlinks, and multi-column layouts \n Provides JavaScript-based document generation via docx-js library with critical guidance on page sizing (defaults to A4; use explicit DXA units), table width configuration, and style overrides \n Enables XML-level ed

A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.

Create, edit, and analyze Word documents with tracked changes, comments, and formatting preservation. \n \n Three distinct workflows: text extraction via pandoc, creating new documents with docx-js, and editing existing documents with the Python Document library \n Redlining workflow for comprehensive tracked changes with batching strategy, minimal edits principle, and systematic implementation guidance \n Raw XML access for comments, complex formatting, embedded media, and document structure vi