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alicloud-data-analytics-dataanalysisgbi

alicloud-data-analytics-dataanalysisgbi

github.com/cinienceData & databases396284 installsUpdated 11w ago
Repository

About alicloud-data-analytics-dataanalysisgbi

alicloud-data-analytics-dataanalysisgbi is a skill for managing Alibaba Cloud DataAnalysisGBI resources through OpenAPI. It uses API discovery and verification steps to guide resource queries and changes.

Key features

  1. 01Discover APIs and required parameters
  2. 02List and inspect resources
  3. 03Create or update resources
  4. 04Check resource status
  5. 05Save API outputs and evidence

Use cases

  1. 01Review existing DataAnalysisGBI resources
  2. 02Make a scoped resource configuration change
  3. 03Verify an API operation and record its parameters

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-data-analytics-dataanalysisgbi

After installing, type/alicloud-data-analytics-dataanalysisgbiin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

agents/
openai.yaml
references/
sources.md
scripts/
list_openapi_meta_apis.py

Details

From the project README

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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