MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Cost Optimization

Cost Optimization is an code AI skill with a core value of Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing c...

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/cost-optimization && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/cost-optimization/SKILL.md -o ./skills/cost-optimization/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Cloud Cost Optimization


Strategies and patterns for optimizing cloud costs across AWS, Azure, and GCP.


Do not use this skill when


- The task is unrelated to cloud cost optimization

- 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


Implement systematic cost optimization strategies to reduce cloud spending while maintaining performance and reliability.


Use this skill when


- Reduce cloud spending

- Right-size resources

- Implement cost governance

- Optimize multi-cloud costs

- Meet budget constraints


Cost Optimization Framework


1. Visibility

- Implement cost allocation tags

- Use cloud cost management tools

- Set up budget alerts

- Create cost dashboards


2. Right-Sizing

- Analyze resource utilization

- Downsize over-provisioned resources

- Use auto-scaling

- Remove idle resources


3. Pricing Models

- Use reserved capacity

- Leverage spot/preemptible instances

- Implement savings plans

- Use committed use discounts


4. Architecture Optimization

- Use managed services

- Implement caching

- Optimize data transfer

- Use lifecycle policies


AWS Cost Optimization


Reserved Instances

text
Savings: 30-72% vs On-Demand
Term: 1 or 3 years
Payment: All/Partial/No upfront
Flexibility: Standard or Convertible

Savings Plans

text
Compute Savings Plans: 66% savings
EC2 Instance Savings Plans: 72% savings
Applies to: EC2, Fargate, Lambda
Flexible across: Instance families, regions, OS

Spot Instances

text
Savings: Up to 90% vs On-Demand
Best for: Batch jobs, CI/CD, stateless workloads
Risk: 2-minute interruption notice
Strategy: Mix with On-Demand for resilience

S3 Cost Optimization

hcl
resource "aws_s3_bucket_lifecycle_configuration" "example" {
  bucket = aws_s3_bucket.example.id

  rule {
    id     = "transition-to-ia"
    status = "Enabled"

    transition {
      days          = 30
      storage_class = "STANDARD_IA"
    }

    transition {
      days          = 90
      storage_class = "GLACIER"
    }

    expiration {
      days = 365
    }
  }
}

Azure Cost Optimization


Reserved VM Instances

- 1 or 3 year terms

- Up to 72% savings

- Flexible sizing

- Exchangeable


Azure Hybrid Benefit

- Use existing Windows Server licenses

- Up to 80% savings with RI

- Available for Windows and SQL Server


Azure Advisor Recommendations

- Right-size VMs

- Delete unused resources

- Use reserved capacity

- Optimize storage


GCP Cost Optimization


Committed Use Discounts

- 1 or 3 year commitment

- Up to 57% savings

- Applies to vCPUs and memory

- Resource-based or spend-based


Sustained Use Discounts

- Automatic discounts

- Up to 30% for running instances

- No commitment required

- Applies to Compute Engine, GKE


Preemptible VMs

- Up to 80% savings

- 24-hour maximum runtime

- Best for batch workloads


Tagging Strategy


AWS Tagging

hcl
locals {
  common_tags = {
    Environment = "production"
    Project     = "my-project"
    CostCenter  = "engineering"
    Owner       = "team@example.com"
    ManagedBy   = "terraform"
  }
}

resource "aws_instance" "example" {
  ami           = "ami-12345678"
  instance_type = "t3.medium"

  tags = merge(
    local.common_tags,
    {
      Name = "web-server"
    }
  )
}

**Reference:** See `references/tagging-standards.md`


Cost Monitoring


Budget Alerts

hcl
# AWS Budget
resource "aws_budgets_budget" "monthly" {
  name              = "monthly-budget"
  budget_type       = "COST"
  limit_amount      = "1000"
  limit_unit        = "USD"
  time_period_start = "2024-01-01_00:00"
  time_unit         = "MONTHLY"

  notification {
    comparison_operator        = "GREATER_THAN"
    threshold                  = 80
    threshold_type        

🎯 Best For

  • Claude users
  • Software engineers
  • Development teams
  • Tech leads

💡 Use Cases

  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Cost Optimization to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Is Cost Optimization compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Cost Optimization?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Cost Optimization?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/cost-optimization/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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