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alicloud-ai-chatbot

by @ciniencev
4.4(125)

使用阿里云OpenAPI管理Beebot聊天机器人服务资源,支持RPC调用、官方SDK和OpenAPI Explorer。

Alibaba Cloud AIChatbot DevelopmentConversational AINatural Language UnderstandingCustomer Service AutomationGitHub
安装方式
npx skills add cinience/alicloud-skills --skill alicloud-ai-chatbot
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Before / After 效果对比

1
使用前

管理阿里云Beebot聊天机器人服务资源时,需要手动配置和调用API,过程复杂且容易出错。缺乏统一高效的管理工具。

使用后

技能通过阿里云OpenAPI提供Beebot聊天机器人服务管理功能,支持多种调用方式。显著简化资源管理,提升机器人开发效率。

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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统计数据

安装量3.1K
评分4.4 / 5.0
版本
更新日期2026年4月27日
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4.4(125)
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4
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3
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2
2%
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兼容平台

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

时间线

创建2026年3月17日
最后更新2026年4月27日
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