alicloud-ai-chatbot
Alibaba Cloud OpenAPIを使用してBeebotチャットボットサービスリソースを管理し、RPC呼び出し、公式SDK、OpenAPI Explorerをサポートします。
npx skills add cinience/alicloud-skills --skill alicloud-ai-chatbotBefore / After 効果比較
1 组Alibaba Cloud Beebotチャットボットサービスリソースを管理する際、手動での設定とAPI呼び出しが必要であり、プロセスは複雑でエラーが発生しやすいです。統一された効率的な管理ツールが不足しています。
このスキルは、Alibaba Cloud OpenAPIを通じてBeebotチャットボットサービス管理機能を提供し、複数の呼び出し方法をサポートします。リソース管理を大幅に簡素化し、チャットボット開発の効率を向上させます。
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_IDRegion policy:ALICLOUD_REGION_IDis 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*StatusAPIs 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, optionalALICLOUD_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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