---
id: sm-alicloud-ai-chatbot
name: "alicloud-ai-chatbot"
url: https://skills.yangsir.net/skill/sm-alicloud-ai-chatbot
author: cinience
domain: data-ai
tags: ["Alibaba Cloud AI", "Chatbot Development", "Conversational AI", "Natural Language Understanding", "Customer Service Automation"]
install_count: 3133
rating: 4.40 (125 reviews)
github: https://github.com/cinience/alicloud-skills
---

# alicloud-ai-chatbot

> 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。

**Stats**: 3,133 installs · 4.4/5 (125 reviews)

## Before / After 对比

### 阿里云Beebot聊天机器人高效管理

## Readme

# 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 Installs215Repository[cinience/alicloud-skills](https://github.com/cinience/alicloud-skills)GitHub Stars355First SeenFeb 26, 2026Security Audits[Gen Agent Trust HubWarn](/cinience/alicloud-skills/alicloud-ai-chatbot/security/agent-trust-hub)[SocketPass](/cinience/alicloud-skills/alicloud-ai-chatbot/security/socket)[SnykPass](/cinience/alicloud-skills/alicloud-ai-chatbot/security/snyk)Installed ongemini-cli213github-copilot213codex213amp213kimi-cli213cursor213

---
*Source: https://skills.yangsir.net/skill/sm-alicloud-ai-chatbot*
*Markdown mirror: https://skills.yangsir.net/api/skill/sm-alicloud-ai-chatbot/markdown*