alicloud-ai-chatbot_skill

Overview

This skill manages Alibaba Cloud beebot (Chatbot) resources via OpenAPI and the Alibaba Cloud SDK. It helps list resources, create or update configurations, query status, and run troubleshooting workflows. It is designed to follow Alibaba Cloud access key and region conventions for safe, repeatable operations.

How this skill works

The skill discovers available Chatbot APIs from OpenAPI metadata, then calls the appropriate RPC endpoints using the SDK or OpenAPI Explorer. Common flows are inventory (List/Describe), configuration changes (Create/Update/Modify/Set), and status checks or diagnostics (Get/Query/DescribeStatus). Outputs and artifacts are written to a dedicated output directory for review and repeatability.

When to use it

• Inventory existing chatbot resources across regions
• Create or update Chatbot configurations and workflows
• Query runtime status or diagnose failures in chatbot execution
• Automate repetitive beebot administration tasks via scripts or CI
• Export API metadata before calling business APIs for safe automation

Best practices

• Always confirm region and resource identifiers before making mutations
• Prefer metadata-first discovery: list OpenAPI metadata to find APIs and request schemas
• Use List*/Describe* APIs to verify current state before Create/Update operations
• Follow access key priority: environment variables first, then shared credentials file
• Write generated responses, logs, and artifacts under output/alicloud-ai-chatbot/ for traceability

Example use cases

• List all beebot instances and their configuration across a region
• Create or update a chatbot intent, slot, or response configuration via SDK
• Check a chatbot workflow status and retrieve diagnostics for failed conversations
• Run a script that discovers OpenAPI endpoints and generates an API inventory artifact
• Automate periodic audits of chatbot resources and export summaries to the output directory