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// Skill profile

DataAnalysisGBI

name: alicloud-data-analytics-dataanalysisgbi

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-data-analytics-dataanalysisgbi
View on GitHub
// Full documentation

---

name: alicloud-data-analytics-dataanalysisgbi

description: Manage Alibaba Cloud DataAnalysisGBI via OpenAPI/SDK. Use whenever the user needs DataAnalysisGBI resource lifecycle operations, configuration changes, status inspection, or troubleshooting for analytics service workflows.

version: 1.0.0

---

Category: service

# DataAnalysisGBI

Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for DataAnalysisGBI.

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: `DataAnalysisGBI`
  • Default API version: `2024-08-23`
  • 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-data-analytics-dataanalysisgbi/`

    Validation

    mkdir -p output/alicloud-data-analytics-dataanalysisgbi
    for f in skills/data-analytics/alicloud-data-analytics-dataanalysisgbi/scripts/*.py; do
      python3 -m py_compile "$f"
    done
    echo "py_compile_ok" > output/alicloud-data-analytics-dataanalysisgbi/validate.txt

    Pass criteria: command exits 0 and `output/alicloud-data-analytics-dataanalysisgbi/validate.txt` is generated.

    Output And Evidence

  • Save artifacts, command outputs, and API response summaries under `output/alicloud-data-analytics-dataanalysisgbi/`.
  • 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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