# Optimize Cloud Costs Across AWS, Azure, and GCP

Cloud teams often overspend because resources, pricing models, storage, and governance are not reviewed together. This skill provides practical AWS, Azure, and GCP optimization patterns, checklists, and Terraform examples.

## Install

```bash
npx skillstore add sickn33/cost-optimization
```

## Metadata

- Status: approved
- Slug: sickn33-cost-optimization
- Skillstore revision: r2
- Version status: missing
- Tree hash: 0409b390d72153d6f0ca08cbd975859b3123842fec8224b68ee07ccffe5cb388
- Author: sickn33
- GitHub username: sickn33
- License: MIT
- Repository: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/cost-optimization
- Ref: f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/sickn33-cost-optimization
- Manifest: https://skillstore.pages.dev/api/skills/sickn33-cost-optimization/manifest

## Capabilities

- Structures cloud cost reviews around visibility, right-sizing, pricing, and architecture.
- Compares major discount options across AWS, Azure, and GCP.
- Suggests tagging, budget alerts, anomaly detection, and recurring cost reviews.
- Provides Terraform examples for S3 lifecycle policies, tagging, budgets, and autoscaling.
- Identifies storage tiering, serverless, database sizing, and data transfer opportunities.
- Produces an actionable cloud cost optimization checklist.

## Use Cases

- Review a Startup Cloud Bill: Prioritize low-risk savings across compute, storage, commitments, and idle resources.
- Build FinOps Governance: Define tags, budgets, alerts, ownership, and a recurring review process.
- Compare Multi-Cloud Savings: Map equivalent discount and optimization options across AWS, Azure, and GCP.

## Prompt Templates

### Find Basic Savings

```
Review this cloud inventory and monthly spend. List five low-risk savings actions, expected impact, required evidence, and validation steps.
```

### Create a Provider Plan

```
Create a 90-day cost optimization plan for [AWS, Azure, or GCP]. Use my workloads, utilization, reliability targets, and budget constraints.
```

### Design Cost Governance

```
Design tagging, budgets, anomaly alerts, ownership, and weekly review workflows for this organization. Include measurable controls and escalation thresholds.
```

### Model Multi-Cloud Tradeoffs

```
Compare pricing commitments, spot capacity, storage tiers, autoscaling, and data transfer across our three providers. Rank options by savings, risk, and reversibility.
```

## Limitations

- It provides guidance but does not access billing accounts or utilization metrics.
- Savings percentages and service details require validation against current provider terms.
- Terraform examples use placeholders and need environment-specific review before deployment.
- Referenced playbooks, tagging guides, and spreadsheet assets are not included in this package.

## Best Practices

- Validate recommendations with billing and utilization data before making changes.
- Protect reliability targets and test every infrastructure change.
- Assign owners, deadlines, expected savings, and verification measures to each action.

## Anti Patterns

- Do not buy long commitments before confirming stable baseline demand.
- Do not delete idle resources without checking ownership, retention, and recovery requirements.
- Do not treat estimated savings percentages as guaranteed results.

## Security Audit

- Audited at: 2026-07-23T21:47:27.783\+00:00
- Summary: All 26 static findings are false positives caused by Markdown backticks, code fences, Terraform identifiers, or an ordinary heading. SKILL.md contains advisory prose and inert HCL examples, with no executable shell commands, reconnaissance behavior, or prompt injection.

## Stats

- Views: 110
- Downloads: 10
- Favorites: 0
- Popularity score: 0