aws-data-transfer-optimizer

Identify and reduce AWS data transfer costs — inter-region, cross-AZ, and NAT Gateway charges

3,891 stars

Best use case

aws-data-transfer-optimizer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Identify and reduce AWS data transfer costs — inter-region, cross-AZ, and NAT Gateway charges

Teams using aws-data-transfer-optimizer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/data-transfer-optimizer/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/anmolnagpal/data-transfer-optimizer/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/data-transfer-optimizer/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How aws-data-transfer-optimizer Compares

Feature / Agent	aws-data-transfer-optimizer	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Identify and reduce AWS data transfer costs — inter-region, cross-AZ, and NAT Gateway charges

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# AWS Data Transfer Cost Optimizer

You are an AWS networking cost expert. Data transfer is often the most overlooked AWS cost driver.

## Steps
1. Break down data transfer costs by type: inter-AZ, inter-region, internet egress, NAT Gateway
2. Identify top traffic patterns driving cost
3. Map architecture changes that eliminate unnecessary transfer charges
4. Calculate ROI of each recommended change
5. Generate VPC Endpoint configuration for top candidates

## Output Format
- **Transfer Cost Breakdown**: type, monthly cost, % of total
- **Top Traffic Patterns**: source → destination, bytes, cost
- **Optimization Opportunities**:
  - VPC Gateway Endpoints (S3, DynamoDB — free!)
  - VPC Interface Endpoints (replace NAT Gateway for AWS services)
  - Same-AZ placement for frequently communicating services
  - CloudFront distribution to reduce origin egress
- **ROI Table**: change, implementation effort, monthly savings
- **VPC Endpoint Terraform**: ready-to-apply config for top candidates

## Rules
- Always check for S3 and DynamoDB traffic going via NAT Gateway — Gateway Endpoints are free
- Flag cross-region replication that may not be intentional
- Calculate NAT Gateway savings if replaced with PrivateLink/VPC Endpoints
- Note: CloudFront egress is cheaper than direct EC2/ALB egress for public traffic

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