Use Case
Taobao placement data analysis isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Based on Taobao Live, Super Live and financial data, automatic identification, coding processing, key indicator calculation, cross-report multi-dimensional delivery data analysis and optimization suggestion generation are realized. This guide covers how to deploy Taobao placement data analysis for your team, standardize prompts, and create shared workflows that everyone can use.
Install Taobao placement data analysis in your project directory: .claude/skills/jiangfeng/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Taobao placement data analysis 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 Taobao placement data analysis
How can my team use Taobao placement data analysis together?
Set up Taobao placement data analysis for our project so everyone can use it
Create a shared workflow using Taobao placement data analysis for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install jiangfengOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install jiangfengβ 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/jiangfeng/π‘Extract and place the folder at the path above, then restart your agent.