skilld
All skills
aws avatar

/aws-billing-and-cost-management

@b33847d
by Amazon Web Servicesaws/agent-toolkit-for-aws2.8k stars
337

Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer, look up service pricing, query CUR with Athena, detect cost anomalies, scope costs to billing views, and monitor Free Tier usage. Triggers on: AWS bill, cost analysis, reduce spend, savings plan, reserved instance, right-size, budget alert, cost optimization, pricing, free tier, cost anomaly, CUR, cost audit, billing view, billing view ARN.

Ask your Agent

Use this Skill: https://skilld.dev/gh/aws/agent-toolkit-for-aws/aws-billing-and-cost-management

This session only. Nothing lands on disk.

referenceslambda-optimization.md

≈554 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Lambda Optimization

Pricing note: All prices shown are us-east-1 approximate as of early 2026. Prices vary by region and may change. Always verify current pricing via the Price List API before reporting to users.

Memory-CPU Relationship

Lambda allocates CPU proportional to memory:

  • 1,769 MB = 1 full vCPU
  • 10,240 MB = 6 vCPUs

Over-provisioning memory gives more CPU, which can reduce duration enough to lower total cost. Cost = Invocations × Duration(ms) × Memory(GB) × Price/GB-ms + Request charges.

Compute Optimizer for Lambda

Requirements: ≤1,792 MB memory AND ≥50 invocations in the lookback period.

Metrics analyzed: Invocations, Duration, Errors, Throttles, Memory Utilization. The engine simulates candidate memory sizes, projects duration, and selects the size that finishes within timeout and produces greatest monthly savings.

Findings: NotOptimized (can be improved), Optimized, Unavailable (insufficient data). Note: Lambda and EC2 use different finding value sets. Lambda: NotOptimized/Optimized/Unavailable. EC2: Overprovisioned/Underprovisioned/Optimized/NotOptimized.

aws compute-optimizer get-lambda-function-recommendations \
  --filters Name=Finding,Values=NotOptimized

Optimization Levers

Strategy Savings Effort
Switch to arm64 (Graviton) ~20% cost + ~10-15% faster Low — config change
Right-size memory with Power Tuning 10-50% Medium
Use SnapStart (Java/Python/.NET) Eliminates provisioned concurrency cost Low 
# Switch to arm64
aws lambda update-function-configuration \
  --function-name my-function --architectures arm64

Gotchas

  • arm64 not available in all regions; native compiled dependencies need arm64 builds
  • Reserved concurrency (free) ≠ Provisioned concurrency (paid) — most common Lambda cost confusion
  • Provisioned concurrency costs ~$0.015/GB-hour even when idle — use SnapStart instead where possible
  • Lambda needs 14 days of CloudWatch metrics before Compute Optimizer generates recommendations
  • Use alexcasalboni/aws-lambda-power-tuning Step Functions state machine for systematic memory optimization

Source: SKILL.md on GitHub

Third-party checks

No alerts17d3 checks · Risk SAFE
  • Gen Agent Trust Hub17d

    This skill provides comprehensive instructions for analyzing and optimizing AWS costs. It incorporates security-conscious patterns, such as recommending sandboxed execution via the AWS MCP server and requiring deterministic Python scripts for all mathematical calculations to ensure data integrity and accuracy.

  • Socket17d

    No alerts

  • Snyk17d

    Risk: LOW · No issues

Provenance

Signed by skilld at b33847d. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 2 months ago

Capability

metadata
{
  "version": "1"
}

README badge

README badge for aws/agent-toolkit-for-aws/aws-billing-and-cost-management