alicloud-ai-recommend-airec

Manage Alibaba Cloud AIRec recommendation flows via OpenAPI or SDK.

396|34|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-recommend-airec
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alicloud-ai-recommend-airec
Source: https://github.com/cinience/alicloud-skills/tree/main/skills/ai/recommendation/alicloud-ai-recommend-airec
Command: npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-recommend-airec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the management of Alibaba Cloud's AIRec (Airec) recommendation engine, allowing users to perform operations like listing, creating, and updating recommendation flows, as well as inspecting status and troubleshooting configurations.

Core Features & Use Cases

  • Resource Management: Create, update, and list recommendation flows.
  • Status Inspection: Check the operational status of AIRec resources.
  • Troubleshooting: Diagnose and resolve configuration or runtime issues with AIRec.
  • Use Case: A user needs to set up a new recommendation flow for their e-commerce platform. They can use this Skill to define the flow's parameters, deploy it, and then monitor its performance.

Quick Start

Use alicloud-ai-recommend-airec to list all available recommendation flows in the cn-beijing region.

Frequently Asked Questions about alicloud-ai-recommend-airec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage Alibaba Cloud AIRec recommendation engine resources via OpenAPI?

You can manage AIRec recommendation engine resources by utilizing official SDKs or OpenAPI Explorer to list, create, and update flows. This approach enables direct interaction with Alibaba Cloud AIRec via OpenAPI calls.

How do I troubleshoot runtime issues or configuration errors in AIRec recommendation flows?

Troubleshooting AIRec recommendation flows involves inspecting the operational status of your resources. You can diagnose and resolve configuration or runtime issues by checking status outputs returned from the OpenAPI SDK interactions.

How can I create and deploy a new recommendation flow for an e-commerce platform using AIRec?

Creating an AIRec recommendation flow involves defining the flow's parameters and deploying it via OpenAPI SDK calls. Once deployed, you can monitor the recommendation flow's performance and operational status.

What credentials do I need to interact with the AIRec recommendation engine SDK?

To interact with the AIRec SDK, credentials are required and are prioritized from environment variables or shared config files. This setup ensures secure authentication when managing Alibaba Cloud AIRec resources.

Can I list all available recommendation flows in a specific region like cn-beijing?

Yes, you can list all available recommendation flows in regions like cn-beijing by querying the AIRec resources. The SDK queries the recommendation engine and returns the status and configuration of all active flows.

Does this approach support updating existing recommendation flows without recreating them?

Yes, updating existing recommendation flows is supported directly. You can modify flow parameters and configurations via the SDK without needing to recreate the underlying AIRec resources from scratch.