Use Case
Tongyi Xiaomi - Intelligent outbound calling is a powerful AI agent skill that extends your assistant with new capabilities. Trigger the Alibaba Cloud Xiaomi outbound call robot task to automatically make calls in batches. It is suitable for scenarios such as batch outbound calls, customer return visits, satisfaction surveys, resume screening and interviews. The outbound call list can be obtained from the front-end tool or node. This guide walks you through installing Tongyi Xiaomi - Intelligent outbound calling, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Tongyi Xiaomi - Intelligent outbound calling: npx clawhub@latest --dir ~/.claude/skills install xiaomi-outbound-call
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to marketing & growth to trigger Tongyi Xiaomi - Intelligent outbound calling
Review the output and refine your prompt for better results
Combine Tongyi Xiaomi - Intelligent outbound calling with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Tongyi Xiaomi - Intelligent outbound calling
Help me get started with Tongyi Xiaomi - Intelligent outbound calling
What can Tongyi Xiaomi - Intelligent outbound calling do for my marketing & growth workflow?
Show me an example of using Tongyi Xiaomi - Intelligent outbound calling
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install xiaomi-outbound-callOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install xiaomi-outbound-callβ 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/xiaomi-outbound-call/π‘Extract and place the folder at the path above, then restart your agent.