A specialized skill for AI agents to search Alibaba Cloud databases and perform SQL operations via the DMS OpenAPI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install alibabacloud-dms-skill
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 alibabacloud-dms-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Alibaba Cloud DMS Database Read/Write Skill allows AI agents to interact directly with databases managed by Alibaba Cloud Data Management Service (DMS). By integrating this skill into Openclaw Skills workflows, developers can search for database instances using keywords and execute SQL queries or data modifications through a secure command-line interface. It bridges the gap between AI-driven task management and cloud-hosted database administration.
This skill is designed with a focus on safety and precision, requiring strict session management and providing granular control over data operations. It leverages the Alibaba Cloud CLI to interact with DMS OpenAPI, making it an essential tool for automated cloud data management within the Openclaw Skills ecosystem.
To prepare the environment for this skill, follow these installation and configuration steps:
# Ensure Aliyun CLI >= 3.3.3 is installed
aliyun version
# Enable AI-Mode to initiate the session
aliyun configure ai-mode enable
# Register the specific skill User-Agent for tracking
aliyun configure ai-mode set-user-agent AlibabaCloud-Agent-Skills/alibabacloud-dms-skill
# Enable automatic plugin installation and update
aliyun configure set --auto-plugin-install true && aliyun plugin update
The skill processes and returns data structured for easy programmatic consumption. Below is the metadata taxonomy used during database interactions:
| Attribute | Description | Format |
|---|---|---|
| database_id | The unique identifier for the target database | Positive Integer |
| schema_name | The name of the database schema | String |
| db_type | The engine type (e.g., MySQL, PostgreSQL) | String |
| sql_output | Results of the query execution | JSON Array |
| success_flag | Status of the executed command | Boolean |
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