Use Case
Stop doing repetitive marketing & growth tasks manually. Tongyi Xiaomi - Intelligent outbound calling lets your AI agent handle them automatically through natural conversation. 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 shows practical examples of using Tongyi Xiaomi - Intelligent outbound calling to automate common marketing & growth workflows and save hours every week.
Install Tongyi Xiaomi - Intelligent outbound calling: npx clawhub@latest --dir ~/.claude/skills install xiaomi-outbound-call
Identify the repetitive marketing & growth tasks you want to automate
Describe the task to your AI in plain English
Tongyi Xiaomi - Intelligent outbound calling will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Tongyi Xiaomi - Intelligent outbound calling
Automate my marketing & growth tasks using Tongyi Xiaomi - Intelligent outbound calling
What repetitive tasks can Tongyi Xiaomi - Intelligent outbound calling handle for me?
Set up a workflow that runs Tongyi Xiaomi - Intelligent outbound calling every morning
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.