alicloud-ai-chatbot
Manage Alibaba Cloud beebot (Chatbot) via OpenAPI/SDK. Use whenever the user asks to configure, query, or troubleshoot Alibaba Cloud chatbot resources, including bot inventory, configuration changes, status checks, and API-level diagnostics.
ソース情報
- リポジトリ
- Jinhong270/AI-Agent
- ソースの最終更新活動
- 2026年6月29日 12:28
- 検出された SKILL.md の言語
- 英語
- スター
- 2
- フォーク
- 0
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
ファイルエクスプローラー
5 ファイルSKILL.md を表示中
SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- alicloud-ai-chatbot
- description
- Manage Alibaba Cloud beebot (Chatbot) via OpenAPI/SDK. Use whenever the user asks to configure, query, or troubleshoot Alibaba Cloud chatbot resources, including bot inventory, configuration changes, status checks, and API-level diagnostics.
- version
- 1.0.0
Category: service
# Chatbot (beebot)
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for beebot.
## Workflow
1) Confirm region, resource identifiers, and desired action.
2) Discover API list and required parameters (see references).
3) Call API with SDK or OpenAPI Explorer.
4) Verify results with describe/list APIs.
## AccessKey priority (must follow)
1) 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.
2) 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
1) Inventory/list: prefer `List*` / `Describe*` APIs to get current resources.
2) Change/configure: prefer `Create*` / `Update*` / `Modify*` / `Set*` APIs for mutations.
3) Status/troubleshoot: prefer `Get*` / `Query*` / `Describe*Status` APIs for diagnosis.
## Minimal executable quickstart
Use metadata-first discovery before calling business APIs:
```bash
python scripts/list_openapi_meta_apis.py
```
Optional overrides:
```bash
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
```bash
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`
GitHubで見る