Category: service
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionalicloud-data-lake-dlf-nextExecute the skills CLI command in your project's root directory to begin installation:
Fetches alicloud-data-lake-dlf-next from cinience/alicloud-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate alicloud-data-lake-dlf-next. Access via /alicloud-data-lake-dlf-next in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Category: service
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Data Lake Formation.
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.~/.alibabacloud/credentialsDlfNext2025-03-10List* / Describe* APIs to get current resources.Create* / Update* / Modify* / Set* APIs for mutations.Get* / Query* / Describe*Status APIs for diagnosis.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.
If you need to save responses or generated artifacts, write them under:
output/alicloud-data-lake-dlf-next/
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/alicloud-data-lake-dlf-next/.ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_REGION_ID.references/sources.mdPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
cinience/alicloud-skills
vercel-labs/next-skills
davila7/claude-code-templates
himself65/finance-skills
mineru98/skills-store
coffeefuelbump/csv-data-summarizer-claude-skill
alicloud-data-lake-dlf-next has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for alicloud-data-lake-dlf-next matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: alicloud-data-lake-dlf-next is focused, and the summary matches what you get after install.
Registry listing for alicloud-data-lake-dlf-next matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: alicloud-data-lake-dlf-next is the kind of skill you can hand to a new teammate without a long onboarding doc.
alicloud-data-lake-dlf-next reduced setup friction for our internal harness; good balance of opinion and flexibility.
alicloud-data-lake-dlf-next is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in alicloud-data-lake-dlf-next — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
alicloud-data-lake-dlf-next reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added alicloud-data-lake-dlf-next from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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