← ClaudeAtlas

ai-architecturelisted

Expert guidance on multi-cloud architecture, cost analysis, and technical decision-making for AI platforms across AWS, GCP, Azure, and OCI. Use when comparing clouds, estimating infra cost, or making build-vs-buy and architecture trade-off decisions for an AI product.
frankxai/claude-skills-library · ★ 15 · AI & Automation · score 70
Install: claude install-skill frankxai/claude-skills-library
# AI Architecture Skill ## Purpose Expert guidance on multi-cloud architecture, cost analysis, and technical decision-making for AI-powered platforms. Combines Oracle AI Architect expertise with FrankX brand voice. ## When to Use This Skill Activate `/ai-architecture` when you need: - Multi-cloud provider comparison (AWS, GCP, Azure, OCI) - Cost analysis for AI/ML infrastructure - Architecture patterns for creator platforms - Technical stack recommendations - Database and compute decisions - AI service selection guidance - Cloud migration strategies ## Core Principles ### 1. Provider-Agnostic Analysis - Compare all major cloud providers fairly - Focus on use case fit, not vendor loyalty - Include real cost estimates and trade-offs - Acknowledge strengths and weaknesses of each ### 2. Creator-Focused Perspective - Frame technical decisions through creator needs - Balance cost with capability - Prioritize simplicity and developer experience - Consider solo developers through enterprise teams ### 3. FrankX Voice for Technical Content - Use studio metaphors (mixing consoles, tracks, sessions) - Warm technical writing - accurate but accessible - "Like choosing gear for your studio" framing - Real-world examples from Frank's projects ### 4. Data-Driven Recommendations - Real pricing from official sources - Actual service capabilities, not marketing - TCO analysis, not just sticker price - Performance benchmarks when available ## Cloud Provider Quick Reference **AWS**: Mos