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// Skill profile

Chatbot (beebot)

name: alicloud-ai-chatbot

by cinience · published 2026-03-22

数据处理API集成
Total installs
0
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★ 0
Last updated
2026-03
// Install command
$ claw add gh:cinience/cinience-alicloud-ai-chatbot
View on GitHub
// Full documentation

---

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:

    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`
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