alicloud-data-lake-dlf

cinience/alicloud-skills · updated Apr 8, 2026

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

Category: service

skill.md

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

Discussion

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general reviews

Ratings

4.628 reviews
  • Meera Brown· Dec 28, 2024

    alicloud-data-lake-dlf fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Diya Jackson· Dec 4, 2024

    alicloud-data-lake-dlf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Yash Thakker· Nov 27, 2024

    I recommend alicloud-data-lake-dlf for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hassan Reddy· Nov 23, 2024

    Solid pick for teams standardizing on skills: alicloud-data-lake-dlf is focused, and the summary matches what you get after install.

  • Fatima Khanna· Nov 19, 2024

    Registry listing for alicloud-data-lake-dlf matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nikhil Desai· Nov 15, 2024

    Useful defaults in alicloud-data-lake-dlf — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Oct 18, 2024

    Useful defaults in alicloud-data-lake-dlf — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diya Patel· Oct 14, 2024

    alicloud-data-lake-dlf has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Naina Park· Oct 10, 2024

    alicloud-data-lake-dlf reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Nia Garcia· Oct 6, 2024

    I recommend alicloud-data-lake-dlf for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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