Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Alicloud Platform Multicloud Docs Api Benchmark
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.
skill openclawclawhub Free
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.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, agents/openai.yaml, references/presets.json, references/review-rubric.md, references/scoring.json, scripts/benchmark_multicloud_docs_api.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- cinience
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: 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"
Optional: pin authoritative links
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-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: Show score ranking across all providers. Highlight top gaps (P0/P1/P2) and concrete fix actions. If discovery confidence is low, ask user to provide pinned links and rerun.
Validation
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 And Evidence
Save artifacts, command outputs, and API response summaries under output/alicloud-platform-multicloud-docs-api-benchmark/. 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: ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_REGION_ID. If region is unclear, ask the user before running mutating operations.
References
Rubric: references/review-rubric.md
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Config2 Docs1 Scripts
- SKILL.md
- references/review-rubric.md
- scripts/benchmark_multicloud_docs_api.py
- agents/openai.yaml
- references/presets.json
- references/scoring.json