Use Case
Read Microsoft Word documents (.docx and .doc) with Chinese support is a powerful AI agent skill that extends your assistant with new capabilities. Read Microsoft Word documents (.docx and .doc) with Chinese support. Extract text, search keywords, and save as UTF-8 text files. No Microsoft Word installat... This guide walks you through installing Read Microsoft Word documents (.docx and .doc) with Chinese support, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Read Microsoft Word documents (.docx and .doc) with Chinese support: npx clawhub@latest --dir ~/.claude/skills install read-word
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to documents & notes to trigger Read Microsoft Word documents (.docx and .doc) with Chinese support
Review the output and refine your prompt for better results
Combine Read Microsoft Word documents (.docx and .doc) with Chinese support with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Read Microsoft Word documents (.docx and .doc) with Chinese support
Help me get started with Read Microsoft Word documents (.docx and .doc) with Chinese support
What can Read Microsoft Word documents (.docx and .doc) with Chinese support do for my documents & notes workflow?
Show me an example of using Read Microsoft Word documents (.docx and .doc) with Chinese support
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install read-wordOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install read-wordβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/read-word/π‘Extract and place the folder at the path above, then restart your agent.