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alicloud-ai-chatbot

by @ciniencev
4.4(125)

Manage Beebot chatbot service resources using Alibaba Cloud OpenAPI, supporting RPC calls, official SDKs, and OpenAPI Explorer.

Alibaba Cloud AIChatbot DevelopmentConversational AINatural Language UnderstandingCustomer Service AutomationGitHub
Installation
npx skills add cinience/alicloud-skills --skill alicloud-ai-chatbot
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Before / After Comparison

1
Before

When managing Alibaba Cloud Beebot chatbot service resources, manual configuration and API calls are required, a process that is complex and prone to errors. There is a lack of a unified and efficient management tool.

After

This skill provides Beebot chatbot service management capabilities through Alibaba Cloud OpenAPI, supporting multiple invocation methods. It significantly simplifies resource management and improves chatbot development efficiency.

description SKILL.md

alicloud-ai-chatbot

Category: service

Chatbot (beebot)

Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for beebot.

Workflow

  • Confirm region, resource identifiers, and desired action.

  • Discover API list and required parameters (see references).

  • Call API with SDK or OpenAPI Explorer.

  • Verify results with describe/list APIs.

AccessKey priority (must follow)

  • Environment variables: ALICLOUD_ACCESS_KEY_ID / ALICLOUD_ACCESS_KEY_SECRET / ALICLOUD_REGION_ID Region policy: ALICLOUD_REGION_ID is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user.

  • Shared config file: ~/.alibabacloud/credentials

API discovery

  • Product code: Chatbot

  • Default API version: 2022-04-08

  • Use OpenAPI metadata endpoints to list APIs and get schemas (see references).

High-frequency operation patterns

  • Inventory/list: prefer List* / Describe* APIs to get current resources.

  • Change/configure: prefer Create* / Update* / Modify* / Set* APIs for mutations.

  • Status/troubleshoot: prefer Get* / Query* / Describe*Status APIs for diagnosis.

Minimal executable quickstart

Use metadata-first discovery before calling business APIs:

python scripts/list_openapi_meta_apis.py

Optional overrides:

python scripts/list_openapi_meta_apis.py --product-code <ProductCode> --version <Version>

The script writes API inventory artifacts under the skill output directory.

Output policy

If you need to save responses or generated artifacts, write them under: output/alicloud-ai-chatbot/

Validation

mkdir -p output/alicloud-ai-chatbot
for f in skills/ai/service/alicloud-ai-chatbot/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-chatbot/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-chatbot/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-ai-chatbot/.

  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Prerequisites

  • Configure least-privilege Alibaba Cloud credentials before execution.

  • Prefer environment variables: ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_REGION_ID.

  • If region is unclear, ask the user before running mutating operations.

References

  • Sources: references/sources.md

Weekly Installs215Repositorycinience/alicloud-skillsGitHub Stars355First SeenFeb 26, 2026Security AuditsGen Agent Trust HubWarnSocketPassSnykPassInstalled ongemini-cli213github-copilot213codex213amp213kimi-cli213cursor213

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Installs3.1K
Rating4.4 / 5.0
Version
Updated2026年4月27日
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Compatible Platforms

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

Timeline

Created2026年3月17日
Last Updated2026年4月27日
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