Use Case
Domestic demand mining isn't just for solo use — teams can share skills and build consistent AI workflows across the organization. China’s public domain new media platform needs mining skills. Capture user comments and feedback data from Douyin, Xiaohongshu, Taobao and other platforms, intelligently select data sources according to demand type (physical demand/no physical demand), pay special attention to Xiaohongshu user comments and e-commerce negative reviews, conduct demand analysis and classification, and generate user demand research reports. Trigger scenario: - The user says "Help me discover the user needs of XX field/product" - The user says "Analyze user complaints of XX product... This guide covers how to deploy Domestic demand mining for your team, standardize prompts, and create shared workflows that everyone can use.
Install Domestic demand mining in your project directory: .claude/skills/china-demand-mining/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Domestic demand mining 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 Domestic demand mining
How can my team use Domestic demand mining together?
Set up Domestic demand mining for our project so everyone can use it
Create a shared workflow using Domestic demand mining for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install china-demand-miningOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install china-demand-mining⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
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/china-demand-mining/💡Extract and place the folder at the path above, then restart your agent.