aliyun-dlf-manage

Original：🇺🇸 English

Translated

1 scriptsChecked / no sensitive code detected

Use when managing Alibaba Cloud Data Lake Formation (DataLake) via OpenAPI/SDK, including the user asks for DataLake catalog resource operations, configuration updates, status queries, or troubleshooting DataLake API workflows.

3installs

Sourcecinience/alicloud-skills

Added on2026-09-12

NPX Install

npx skill4agent add cinience/alicloud-skills aliyun-dlf-manage

SKILL.md Content

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Category: service

Data Lake Formation

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

Workflow

Confirm region, resource identifiers, and desired action.
Discover API list and required parameters (see references).
Call API with SDK or OpenAPI Explorer.
Verify results with describe/list APIs.

AccessKey priority (must follow)

Environment variables:
```
ALIBABACLOUD_ACCESS_KEY_ID
```
/
```
ALIBABACLOUD_ACCESS_KEY_SECRET
```
/
```
ALIBABACLOUD_REGION_ID
```
Region policy:
```
ALIBABACLOUD_REGION_ID
```
is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user.
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

Inventory/list: prefer
```
List*
```
/
```
Describe*
```
APIs to get current resources.
Change/configure: prefer
```
Create*
```
/
```
Update*
```
/
```
Modify*
```
/
```
Set*
```
APIs for mutations.
Status/troubleshoot: prefer
```
Get*
```
/
```
Query*
```
/
```
Describe*Status
```
APIs for diagnosis.

Minimal executable quickstart

Use metadata-first discovery before calling business APIs:

bash

python scripts/list_openapi_meta_apis.py

Optional overrides:

bash

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/aliyun-dlf-manage/

Validation

bash

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

Pass criteria: command exits 0 and

output/aliyun-dlf-manage/validate.txt

is generated.

Output And Evidence

Save artifacts, command outputs, and API response summaries under
```
output/aliyun-dlf-manage/
```
.
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:

ALIBABACLOUD_ACCESS_KEY_ID

,

ALIBABACLOUD_ACCESS_KEY_SECRET

, optional

ALIBABACLOUD_REGION_ID

.

If region is unclear, ask the user before running mutating operations.

References

Sources:
```
references/sources.md
```

aliyun-dlf-manage

NPX Install

Tags

SKILL.md Content

Data Lake Formation

Workflow

AccessKey priority (must follow)

API discovery

High-frequency operation patterns

Minimal executable quickstart

Output policy

Validation

Output And Evidence

Prerequisites

References