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alicloud-data-lake-dlf

alicloud-data-lake-dlf

github.com/cinienceData & databases396259 installsUpdated 11w ago
Repository

About alicloud-data-lake-dlf

A skill for managing Alibaba Cloud Data Lake Formation resources through OpenAPI RPC, official SDKs, or OpenAPI Explorer. It emphasizes API metadata discovery, region and resource confirmation, and verification after changes.

Key features

  1. 01DataLake OpenAPI API discovery
  2. 02Resource listing and inspection
  3. 03Resource creation and configuration
  4. 04Status checks and troubleshooting
  5. 05Result verification after changes

Use cases

  1. 01Inventory Data Lake resources
  2. 02Create or update Data Lake settings
  3. 03Diagnose resource status

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-data-lake-dlf

After installing, type/alicloud-data-lake-dlfin 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

Data Lake Formation

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

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: DataLake
  • Default API version: 2020-07-10
  • 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-lake-dlf/

Validation

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

Pass criteria: command exits 0 and output/alicloud-data-lake-dlf/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-data-lake-dlf/.
  • 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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