Use this skill when the user wants cross-cloud documentation/API comparison for similar products.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionalicloud-platform-multicloud-docs-api-benchmarkExecute the skills CLI command in your project's root directory to begin installation:
Fetches alicloud-platform-multicloud-docs-api-benchmark 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-platform-multicloud-docs-api-benchmark. Access via /alicloud-platform-multicloud-docs-api-benchmark 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.
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Use this skill when the user wants cross-cloud documentation/API comparison for similar products.
L0 (highest): user-pinned official links via --<provider>-linksL1: machine-readable official metadata/source
L2: official-domain constrained web discovery fallbackL3: insufficient discovery (low confidence)Run the benchmark script:
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "<product keyword>"
Example:
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "serverless"
LLM platform benchmark example (Bailian/Bedrock/Azure OpenAI/Vertex AI/Hunyuan/Ark/Pangu):
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "Bailian" --preset "llm-platform"
If --preset is omitted, script attempts to auto-match preset based on keyword.
Scoring weights can be switched by profile (see references/scoring.json):
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "Bailian" --preset "llm-platform" --scoring-profile "llm-platform"
Auto-discovery may miss pages. For stricter comparison, pass official links manually:
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py \
--product "object storage" \
--aws-links "https://docs.aws.amazon.com/AmazonS3/latest/userguide/Welcome.html" \
--azure-links "https://learn.microsoft.com/azure/storage/blobs/"
Available manual flags:
--alicloud-links--aws-links--azure-links--gcp-links--tencent-links--volcengine-links--huawei-linksEach flag accepts comma-separated URLs.
All artifacts must be written under:
output/alicloud-platform-multicloud-docs-api-benchmark/
Per run:
benchmark_evidence.jsonbenchmark_report.mdWhen answering the user:
mkdir -p output/alicloud-platform-multicloud-docs-api-benchmark
for f in skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-platform-multicloud-docs-api-benchmark/validate.txt
Pass criteria: command exits 0 and output/alicloud-platform-multicloud-docs-api-benchmark/validate.txt is generated.
output/alicloud-platform-multicloud-docs-api-benchmark/.ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_REGION_ID.references/review-rubric.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.
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alicloud-platform-multicloud-docs-api-benchmark fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
alicloud-platform-multicloud-docs-api-benchmark is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: alicloud-platform-multicloud-docs-api-benchmark is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in alicloud-platform-multicloud-docs-api-benchmark — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
alicloud-platform-multicloud-docs-api-benchmark is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
alicloud-platform-multicloud-docs-api-benchmark has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for alicloud-platform-multicloud-docs-api-benchmark matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in alicloud-platform-multicloud-docs-api-benchmark — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend alicloud-platform-multicloud-docs-api-benchmark for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
alicloud-platform-multicloud-docs-api-benchmark reduced setup friction for our internal harness; good balance of opinion and flexibility.
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