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Alicloud Data Lake Dlf Next

该 Skill 指导用阿里云 OpenAPI(RPC)配合官方 SDK 或 OpenAPI Explorer 管理 Data Lake Formation (DlfNext) 资源:先确认区域与资源标识,用脚本发现 API 列表与参数,再执行列举、创建/更新、状态检查等调用,并把命令输出与响应摘要写入指定输出目录。

cinience
cinience
热度 83.24
最近更新 2026-05-11 16:23:40
分类:自动化依赖:代码执行 / 第三方 API / 读写文件应用场景:API 集成 / DevOps / 工作流 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add alicloud-data-lake-dlf-next
Metadata
name
alicloud-data-lake-dlf-next
description
Manage Alibaba Cloud Data Lake Formation (DlfNext) via OpenAPI/SDK. Use whenever the user needs DLF Next catalog/governance resource operations, including listing resources, create/update flows, status checks, and troubleshooting metadata workflow issues.
version
1.0.0

Category: service

Data Lake Formation (Next)

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: DlfNext
  • Default API version: 2025-03-10
  • 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-next/

Validation

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

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

Output And Evidence

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