ahmad-ubaidillah/multi-cloud-architecture
aizen-gate/skills-reference/.agent/skills/multi-cloud-architecture/SKILL.md
Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
development
Updated Mar 27, 2026
$ install --global
skillsauthnpx skillsauth add ahmad-ubaidillah/aizen-gate multi-cloud-architectureInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Mar 30, 2026, 10:05 AM68.8s16 files scanned
SKILL.md
- version:
- 4.1.0-fractal
- name:
- multi-cloud-architecture
- description:
- Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
Multi-Cloud Architecture
Decision framework and patterns for architecting applications across AWS, Azure, and GCP.
Do not use this skill when
- The task is unrelated to multi-cloud architecture
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Purpose
Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.
Use this skill when
- Design multi-cloud strategies
- Migrate between cloud providers
- Select cloud services for specific workloads
- Implement cloud-agnostic architectures
- Optimize costs across providers
Cloud Service Comparison
🧠 Knowledge Modules (Fractal Skills)
1. Compute Services
2. Storage Services
3. Database Services
4. Pattern 1: Single Provider with DR
5. Pattern 2: Best-of-Breed
6. Pattern 3: Geographic Distribution
7. Pattern 4: Cloud-Agnostic Abstraction
8. Use Cloud-Native Alternatives
9. Abstraction Layers
10. Compute Pricing Factors
11. Cost Optimization Strategies
12. Phase 1: Assessment
13. Phase 2: Pilot
14. Phase 3: Migration
15. Phase 4: Optimization
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