Benchmark similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud. Given one product keyword, auto-discover latest official docs/API links, score quality consistently, and output detailed prioritized improvement recommendations.
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill alicloud-platform-multicloud-docs-api-benchmark --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Alicloud Platform Multicloud Docs Api Benchmark?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/modbender-alicloud-platform-multicloud-docs-api-benchmark)More formats (shields.io, HTML) on the badges page.
---
name: alicloud-platform-multicloud-docs-api-benchmark
description: Benchmark similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud. Given one product keyword, auto-discover latest official docs/API links, score quality consistently, and output detailed prioritized improvement recommendations.
---
# Multi-Cloud Product Docs/API Benchmark
Use this skill when the user wants cross-cloud documentation/API comparison for similar products.
## Supported clouds
- Alibaba Cloud
- AWS
- Azure
- GCP
- Tencent Cloud
- Volcano Engine
- Huawei Cloud
## Data source policy
- `L0` (highest): user-pinned official links via `--<provider>-links`
- `L1`: machine-readable official metadata/source
- GCP: Discovery API
- AWS: API Models repository
- Azure: REST API Specs repository
- `L2`: official-domain constrained web discovery fallback
- `L3`: insufficient discovery (low confidence)
## Workflow
Run the benchmark script:
```bash
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "<产品关键词>"
```
Example:
```bash
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "serverless"
```
LLM 平台横评示例(百炼/Bedrock/Azure OpenAI/Vertex AI/混元/方舟/盘古):
```bash
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "百炼" --preset "llm-platform"
```
如不传 `--preset`,脚本会根据关键词自动尝试匹配预设。
评分权重可通过 profile 切换(见 `references/scoring.json`):
```bash
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "百炼" --preset "llm-platform" --scoring-profile "llm-platform"
```
## Optional: pin authoritative links
Auto-discovery may miss pages. For stricter comparison, pass official links manually:
```bash
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-links`
Each flag accepts comma-separated URLs.
## Output policy
All artifacts must be written under:
`output/alicloud-platform-multicloud-docs-api-benchmark/`
Per run:
- `benchmark_evidence.json`
- `benchmark_report.md`
## Reporting guidance
When answering the user:
1) Show score ranking across all providers.
2) Highlight top gaps (P0/P1/P2) and concrete fix actions.
3) If discovery confidence is low, ask user to provide pinned links and rerun.
## References
- Rubric: `references/review-rubric.md`
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!