An automated tool for benchmarking and comparing documentation and API quality across seven major cloud service providers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aliyun-platform-docs-benchmark
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install aliyun-platform-docs-benchmark using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Multi-Cloud Product Docs & API Benchmark?
The Multi-Cloud Product Docs & API Benchmark is a high-performance utility designed for technical writers and product managers to evaluate documentation standards across the industry. By utilizing Openclaw Skills, this tool automates the discovery of official documentation and API references for specific product keywords, ensuring consistent evaluation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud.
This skill employs a multi-tiered data source policy, ranging from user-pinned authoritative links to machine-readable official metadata repositories like GCP Discovery API and AWS API Models. It provides a standardized framework for scoring documentation quality and identifying critical gaps, enabling teams to prioritize content improvements based on data-driven benchmarks.
Multi-Cloud Product Docs & API Benchmark Use Cases
- Competitor analysis to compare API documentation depth and clarity against major cloud providers.
- Automated discovery of the latest official product links for cross-platform research.
- Generating prioritized improvement recommendations (P0/P1/P2) for technical documentation teams.
- Benchmarking LLM platform documentation using specialized presets for services like Bedrock, Vertex AI, and Bailian.
How Multi-Cloud Product Docs & API Benchmark Works
- The user provides a product keyword and optional cloud provider links via CLI flags.
- The script executes a discovery process, prioritizing pinned links before falling back to official API metadata and web discovery.
- Documentation is evaluated based on a specialized scoring profile (e.g., standard or LLM-specific).
- All findings, including scores and evidence, are compiled into a structured JSON and Markdown report.
- The system outputs a final ranking of providers with specific action items for documentation enhancement.
Multi-Cloud Product Docs & API Benchmark Setup
To install and validate the benchmark tool within your Openclaw Skills environment, use the following commands:
# Configure credentials
export ALICLOUD_ACCESS_KEY_ID="your_id"
export ALICLOUD_ACCESS_KEY_SECRET="your_secret"
# Validate the scripts
mkdir -p output/aliyun-platform-docs-benchmark
for f in skills/platform/docs/aliyun-platform-docs-benchmark/scripts/*.py; do
python3 -m py_compile "$f"
done
Multi-Cloud Product Docs & API Benchmark Data Schema & Taxonomy
The skill maintains a strict organization for all generated artifacts to ensure reproducibility and clarity:
| File Name | Description |
|---|---|
benchmark_evidence.json |
Contains raw API responses, discovery logs, and scoring metadata. |
benchmark_report.md |
A human-readable summary of score rankings and gap analysis. |
validate.txt |
A verification file generated after a successful environment check. |
Multi-Cloud Product Docs & API Benchmark Advanced Features
- Authoritative Link Pinning: Manually override discovery by passing comma-separated URLs via provider-specific flags.
- Domain-Specific Presets: Use the
--presetflag to apply specialized logic for niche categories like llm-platform. - Custom Scoring Profiles: Switch between different evaluation rubrics stored in
references/scoring.jsonto suit different business needs. - Multi-Tiered Discovery: Intelligent fallback system (L0 to L3) ensures data is retrieved even when official APIs are restricted.
SKILL.md
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