Category: test
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
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add cinience/alicloud-skills --skill alicloud-data-lake-dlf-testCompatible with
Supported agents
DataLake Minimal Viable Test
Prerequisites
AK/SK and region are configured.
GoalsSkill: skills/data-lake/alicloud-data-lake-dlf/ 。
Test Steps
Run python scripts/list_openapi_meta_apis.py .
Select one read-only API and run a minimal request.
Save outputs under output/alicloud-data-lake-dlf-test/ 。
Expected Results
Metadata retrieval succeeds.
Read-only API returns success or an explicit permission error.
No content available.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionalicloud-data-lake-dlf-testExecute the skills CLI command in your project's root directory to begin installation:
epx add cinience/alicloud-skills --skill alicloud-data-lake-dlf-testFetches alicloud-data-lake-dlf-test 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:
.cursor/skills/alicloud-data-lake-dlf-test
Restart Cursor to activate alicloud-data-lake-dlf-test. Access via /alicloud-data-lake-dlf-testin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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.
alicloud-security-id-verification-cloudauth-test
cinience/alicloud-skills · Cloud · same repo
alicloud-ai-audio-tts-voice-clone
cinience/alicloud-skills · Cloud · same repo
test-cases
cexll/myclaude · Testing · tag: test
senior-data-engineer
davila7/claude-code-templates · Productivity · tag: data
run-tests
dotnet/skills · dotnet-test · tag: test
data-analysis
supercent-io/skills-template · Productivity · tag: data
I recommend alicloud-data-lake-dlf-test for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
alicloud-data-lake-dlf-test fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for alicloud-data-lake-dlf-test matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: alicloud-data-lake-dlf-test is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in alicloud-data-lake-dlf-test — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added alicloud-data-lake-dlf-test from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for alicloud-data-lake-dlf-test matched our evaluation — installs cleanly and behaves as described in the markdown.
alicloud-data-lake-dlf-test reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend alicloud-data-lake-dlf-test for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
alicloud-data-lake-dlf-test is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 41