Aliyun Dlf Manage Next

Name: Aliyun Dlf Manage Next
Author: cinience

cinience/alicloud-skills

81 installs
396 repo stars
Updated July 18, 2026
cinience/alicloud-skills

Manage Alibaba Cloud Data Lake Formation Next (DlfNext) catalog and governance resources via OpenAPI with metadata-first discovery.

About

Drives the Alibaba Cloud DlfNext (2025-03-10) OpenAPI to list, create, update, and query Data Lake Formation Next resources. A developer uses it for DLF Next catalog/governance operations and metadata workflow troubleshooting.

Product code DlfNext, API version 2025-03-10
Metadata-first discovery, reads before mutations

Aliyun Dlf Manage Next by the numbers

81 all-time installs (skills.sh)
Ranked #616 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
Data as of Aug 5, 2026 (Skillselion catalog sync)

npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-dlf-manage-next

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Installs	81
repo stars	★ 396
Last updated	July 18, 2026
Repository	cinience/alicloud-skills ↗

What it does

Manage Alibaba Cloud Data Lake Formation Next (DlfNext) catalog and governance resources via OpenAPI with metadata-first discovery.

Files

SKILL.mdMarkdownGitHub ↗

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: 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. 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/aliyun-dlf-manage-next/

Validation

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

Pass criteria: command exits 0 and output/aliyun-dlf-manage-next/validate.txt is generated.

Output And Evidence

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

interface:
  display_name: "Alibaba Cloud Data Lake DLF Next"
  short_description: "DlfNext lake governance workflows"
  default_prompt: "Use $aliyun-dlf-manage-next to complete this data-lake task on Alibaba Cloud."

#!/usr/bin/env python3
"""Fetch OpenAPI metadata API list for one product/version and save to output/.

Env:
- OPENAPI_META_TIMEOUT (seconds, default: 20)
"""

from __future__ import annotations

import argparse
import json
import os
import pathlib
import urllib.request

DEFAULT_PRODUCT_CODE = "DlfNext"
DEFAULT_VERSION = "2025-03-10"
OUTPUT_DIR = pathlib.Path("output/aliyun-dlf-manage-next")


def fetch_json(url: str, timeout: int) -> dict:
    req = urllib.request.Request(url, headers={"User-Agent": "codex-skill"})
    with urllib.request.urlopen(req, timeout=timeout) as resp:
        return json.loads(resp.read().decode("utf-8"))


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--product-code", default=DEFAULT_PRODUCT_CODE)
    parser.add_argument("--version", default=DEFAULT_VERSION)
    parser.add_argument("--output-dir", default=str(OUTPUT_DIR))
    args = parser.parse_args()

    timeout = int(os.getenv("OPENAPI_META_TIMEOUT", "20"))
    output_dir = pathlib.Path(args.output_dir)
    output_dir.mkdir(parents=True, exist_ok=True)

    url = (
        f"https://api.aliyun.com/meta/v1/products/{args.product_code}"
        f"/versions/{args.version}/api-docs.json"
    )
    payload = fetch_json(url, timeout)

    raw_apis = payload.get("apis", {})
    if isinstance(raw_apis, dict):
        api_names = sorted(raw_apis.keys())
    elif isinstance(raw_apis, list):
        names = []
        for item in raw_apis:
            if isinstance(item, dict):
                name = item.get("name") or item.get("apiName")
                if name:
                    names.append(name)
            elif isinstance(item, str):
                names.append(item)
        api_names = sorted(set(names))
    else:
        api_names = []

    json_file = output_dir / f"{args.product_code}_{args.version}_api_docs.json"
    md_file = output_dir / f"{args.product_code}_{args.version}_api_list.md"

    json_file.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
    md_lines = [
        f"# {args.product_code} {args.version} API List",
        "",
        f"- Source: {url}",
        f"- API count: {len(api_names)}",
        "",
    ]
    md_lines.extend([f"- `{name}`" for name in api_names])
    md_file.write_text("\n".join(md_lines) + "\n", encoding="utf-8")

    print(f"Saved: {json_file}")
    print(f"Saved: {md_file}")


if __name__ == "__main__":
    main()