Cloud Storage Optimization
This handles the boring but expensive work of optimizing cloud storage across AWS S3, Azure Blob, and GCP. It covers intelligent tiering, lifecycle policies, compression strategies, and data partitioning for analytics workloads. You'll want this when storage bills creep up or when you're building data lakes that need proper partitioning from the start. The skill includes Terraform configurations for multi-cloud setups and specific guidance on formats like Parquet and ORC. The approach is practical: it assumes you already have data sitting somewhere and need to make it cheaper to store and faster to query without major architectural changes.
- skills.sh installs
- 449
- GitHub stars
- 379
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill cloud-storage-optimization --agent claude-codeInstalls into .claude/skills of the current project.
Files
Cloud Storage Optimization
Table of Contents
Overview
Optimize cloud storage costs and performance across multiple cloud providers using compression, intelligent tiering, data partitioning, and lifecycle management. Reduce storage costs while maintaining accessibility and compliance requirements.
When to Use
- Reducing storage costs
- Optimizing data access patterns
- Implementing tiered storage strategies
- Archiving historical data
- Improving data retrieval performance
- Managing compliance requirements
- Organizing large datasets
- Optimizing data lakes and data warehouses
Quick Start
Minimal working example:
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- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- AI & Agent Building, Cloud & Infrastructure
- First seen
- Jun 3, 2026
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