A specialized workflow for deploying OpenClaw nodes on Linux hosts with integrated support for Aliyun DashScope models and enterprise communication channels.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aliyun-openclaw-setup
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install aliyun-openclaw-setup using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Aliyun OpenClaw Setup & Multi-Channel Integration?
The Aliyun OpenClaw Setup skill provides a standardized approach to provisioning AI agent nodes on Linux environments. It streamlines the integration of Aliyun Bailian (DashScope) models with popular enterprise platforms like DingTalk, Feishu, and Discord. By utilizing this skill, developers can ensure their infrastructure is correctly mapped to specific model IDs and provider endpoints, ensuring high reliability in production environments through Openclaw Skills best practices.
This skill is essential for developers looking to automate the lifecycle of an AI gateway, from initial runtime preparation to advanced channel discovery. It addresses the complexities of plugin management, credential security, and service persistence, making it a cornerstone for teams scaling their AI presence across multiple communication protocols.
Aliyun OpenClaw Setup & Multi-Channel Integration Use Cases
- Provisioning a new production OpenClaw node on Debian or Ubuntu hosts.
- Integrating Aliyun Bailian AI models with enterprise communication tools like DingTalk and Feishu.
- Automating the discovery and installation of new channel plugins from official documentation.
- Troubleshooting and standardizing gateway configurations across distributed environments.
- Setting up high-availability AI services with fallback model logic.
How Aliyun OpenClaw Setup & Multi-Channel Integration Works
- Prepare the Linux environment by establishing SSH access and installing the required Node.js runtime.
- Install the core OpenClaw CLI and specific channel plugins such as the official DingTalk connector or Feishu integration.
- Execute the automated discovery process to identify required credentials and installation steps for requested communication channels.
- Configure the global openclaw.json file to map model providers, API keys, and channel policies.
- Initialize the OpenClaw gateway and register it as a system service for persistent operation.
- Run diagnostic commands to verify health and monitor logs for real-time interaction feedback.
Aliyun OpenClaw Setup & Multi-Channel Integration Setup
Prerequisites
- SSH access to a Linux host (Debian/Ubuntu recommended).
- API credentials for Aliyun DashScope and target channels (DingTalk, Feishu, or Discord).
Installation Steps
# Install OpenClaw globally
npm install -g openclaw@latest
# Install specific channel plugins
openclaw plugins install @dingtalk-real-ai/dingtalk-connector --pin
openclaw plugins install @openclaw/feishu
# Initialize and start the gateway
openclaw gateway install
openclaw gateway start
# Verify the installation
openclaw doctor
Aliyun OpenClaw Setup & Multi-Channel Integration Data Schema & Taxonomy
The skill manages configuration across several key files and directories to maintain state and credentials within Openclaw Skills frameworks.
| Path | Purpose |
|---|---|
~/.openclaw/openclaw.json |
Primary configuration for model providers, fallback logic, and channel credentials. |
~/.openclaw/agents/main/agent/models.json |
Agent-specific overrides for model priority and endpoint protocols. |
output/aliyun-openclaw-setup/ |
Storage for deployment evidence, validation logs, and connectivity reports. |
plugins.allow |
A whitelist maintained in the config to manage active channel integrations. |
Aliyun OpenClaw Setup & Multi-Channel Integration Advanced Features
- Automated channel discovery: Dynamically identifies and extracts installation parameters from official documentation for new integrations.
- Multi-model fallback: Configures prioritized lists (e.g., Qwen3-Plus, GLM-5, Kimi) to ensure response continuity.
- Systemd persistence: Advanced service management including environment variable imports for API keys and automated restarts.
- Protocol-Endpoint mapping: Precise alignment of OpenAI-compatible protocols with Aliyun Bailian specific endpoints for optimized performance.
SKILL.md
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