Use Case
teacher-prep is a powerful AI agent skill that extends your assistant with new capabilities. Teacher's lesson preparation assistant, used for primary school Chinese teaching lesson preparation. Supports various texts such as ancient poetry, modern literature, fables, fairy tales, etc. When the user puts forward lesson preparation requirements, it is automatically executed: (1) Search text-related materials (original text, author, background, new words, paragraph analysis, etc.) and generate markdown lesson preparation materials; (2) Generate lesson plan PPT; (3) Generate after-class exercises and reference answers in Word format. It is suitable for Chinese lesson preparation scenarios for all grades of primary school. This guide walks you through installing teacher-prep, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install teacher-prep: npx clawhub@latest --dir ~/.claude/skills install teacher-prep
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to design & creative to trigger teacher-prep
Review the output and refine your prompt for better results
Combine teacher-prep with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing teacher-prep
Help me get started with teacher-prep
What can teacher-prep do for my design & creative workflow?
Show me an example of using teacher-prep
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install teacher-prepOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install teacher-prepβ 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/teacher-prep/π‘Extract and place the folder at the path above, then restart your agent.