Use Case
teacher-prep isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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 covers how to deploy teacher-prep for your team, standardize prompts, and create shared workflows that everyone can use.
Install teacher-prep in your project directory: .claude/skills/teacher-prep/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use teacher-prep in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing teacher-prep
How can my team use teacher-prep together?
Set up teacher-prep for our project so everyone can use it
Create a shared workflow using teacher-prep for our team
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.