aws-cost-optimizer

Solid

Systematically reduces AWS cloud spend by right-sizing over-provisioned compute, finding and eliminating idle or orphaned resources, committing to Savings Plans and Reserved Instances, and enforcing cost-allocation tagging. Use this skill when the user asks to "reduce AWS bill", "optimize cloud costs", "find idle EC2/RDS/EBS", "right-size instances", "should I buy a Savings Plan or Reserved Instance", "set up cost allocation tags", "why is my AWS bill so high", or wants a structured FinOps cost-reduction plan.

AI & Automation 3 stars 2 forks Updated today MIT

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Quality Score: 79/100

Stars 20%
20
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# AWS Cost Optimizer ## Overview Keywords: AWS cost, FinOps, right-sizing, idle resources, orphaned resources, Savings Plans, Reserved Instances, RI, Spot, cost allocation tags, Cost Explorer, CUR, unblended cost, amortized cost, NAT gateway, gp2 to gp3, S3 lifecycle, Graviton, Compute Optimizer, anomaly detection. This skill drives a repeatable cost-reduction workflow across the five highest-leverage levers: **eliminate** (idle/orphaned), **right-size** (over-provisioned), **commit** (Savings Plans / RIs), **modernize** (newer/cheaper SKUs and storage tiers), and **attribute** (tagging + showback). Always quantify monthly savings, rank by effort-vs-impact, and never recommend a change without stating its risk and rollback. Use the bundled assets: - `references/cost-levers.md` — the full catalog of cost-reduction levers per service with detection signals and typical savings. - `references/savings-plans-vs-ri.md` — decision framework and break-even math for commitment purchases. - `references/tagging-strategy.md` — cost-allocation tag taxonomy and enforcement patterns. - `scripts/cost_analysis.py` — stdlib-only analyzer that scores resources for waste and ranks recommendations from JSON inventory. - `templates/cost-optimization-report.md` — fill-in deliverable for stakeholders. - `examples/right-sizing-walkthrough.md` — a concrete end-to-end example. ## Workflow 1. **Establish the baseline.** Pull the last 1–3 months from Cost Explorer or the Cost & Usage Report (CUR). A...

Details

Author
JayRHa
Repository
JayRHa/AgentSkills
Created
1 months ago
Last Updated
today
Language
Python
License
MIT

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