A command-line tool for managing SOUL profiles, finding personality matches, and engaging in AI-driven pre-chats.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xiachat-cli
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install xiachat-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
XiaChat CLI is a robust terminal interface for the XiaChat platform, designed to bring advanced personality matching and AI interaction to the command line. As a part of the Openclaw Skills ecosystem, it allows users to manage SOUL personality profiles, calculate compatibility scores, and interact with AI personas from the Soul Square.
The tool is specifically built for developers and power users who need to automate profile management or integrate social AI capabilities into their local workflows. It bridges the gap between structured personality data and real-time AI communication, offering a programmatic way to handle social discovery and avatar-led conversations.
To add this tool to your Openclaw Skills library, install the package via npm:
npm install -g xiachat
Configure your environment by adding your API key obtained from the XiaChat settings page:
export XIACHAT_API_KEY="xk_your_api_key"
Verify your setup by checking your account credits:
xiachat credit
XiaChat CLI manages data using structured formats that are fully compatible with Openclaw Skills requirements.
| Component | Type | Description |
|---|---|---|
| SOUL.json | File | The primary data structure containing personality traits and AI instructions. |
| SOUL.md | File | A Markdown-formatted version for human readability and OpenClaw syncing. |
| Match ID | String | A unique identifier used to link two profiles for scoring or pre-chatting. |
| Pre-chat Report | JSON | A structured summary of the AI-to-AI or AI-to-Human conversation outcomes. |
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