An AI-powered decision engine that maps complex workloads to the most efficient services across major cloud providers like AWS, Azure, and Google Cloud.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install toolweb-cloud-service-mapper-decision-advisor
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 toolweb-cloud-service-mapper-decision-advisor 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 Service Mapper & Decision Advisor?
The Multi-Cloud Service Mapper & Decision Advisor is a sophisticated intelligence layer designed for modern infrastructure planning. By leveraging advanced AI, this tool within the Openclaw Skills ecosystem analyzes specific workload requirements—including team size, industry constraints, and technical priorities—to recommend the most effective services across Azure, AWS, and Google Cloud.
It eliminates the manual overhead of cross-provider comparison, ensuring that your architectural decisions are backed by data and aligned with organizational goals like cost-optimization and high performance. Whether you are building a new microservices platform or optimizing an existing stack, this skill provides the clarity needed for multi-cloud transformation.
Multi-Cloud Service Mapper & Decision Advisor Use Cases
- Evaluating multi-cloud transformation initiatives to avoid vendor lock-in.
- Migrating legacy on-premises infrastructure to the most cost-effective cloud provider.
- Identifying the best-fit managed services for microservices architectures handling high-request volumes.
- Comparing security and compliance features across providers for regulated industries like fintech and healthcare.
How Multi-Cloud Service Mapper & Decision Advisor Works
- Submit a detailed workload description along with specific business priorities and your current cloud environment.
- The AI analyzes the input against a comprehensive database of cloud service categories and provider metadata.
- The system generates a weighted list of recommendations, including confidence scores and rationales for each suggested service.
- Review detailed decision factors and migration insights to finalize your infrastructure strategy and cloud selection.
Multi-Cloud Service Mapper & Decision Advisor Setup
To integrate this capability into your workflow, ensure you have access to the ToolWeb API gateway. Use the following steps to configure the skill:
- Obtain your session credentials from the ToolWeb portal.
- Call the analyze endpoint using your preferred client or within the Openclaw Skills environment.
curl -X POST "https://api.toolweb.in/security/servicemapper/api/cloud-mapper/analyze" \
-H "Content-Type: application/json" \
-d '{
"workload_description": "Microservices on Kubernetes",
"sessionId": "sess_unique_id",
"timestamp": "2025-01-15T14:30:00Z"
}'
Multi-Cloud Service Mapper & Decision Advisor Data Schema & Taxonomy
The skill utilizes a structured data schema to ensure consistency across different cloud providers. The following table describes the primary data structures:
| Object | Description |
|---|---|
| Analysis Request | Contains workload_description, selected_services, priorities, and industry context. |
| Recommendations | An array of provider-specific options with confidence_score and service rationales. |
| Decision Factors | Qualitative insights regarding cost, performance, and security trade-offs. |
| Provider Metadata | Repository of names, region availability, and documentation URLs for AWS, Azure, and GCP. |
Multi-Cloud Service Mapper & Decision Advisor Advanced Features
- Custom priority weighting allows users to favor specific outcomes like cost-optimization over performance.
- Multi-tenant tracking via userId and sessionId for enterprise-grade auditing and personalization.
- Industry-specific context filtering to ensure recommendations meet vertical-specific compliance needs (e.g., SOC2, ISO27001).
- Real-time provider metadata retrieval ensures recommendations reflect the latest cloud service updates and region availability.
SKILL.md
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