Individual skill
infrastructure-cost-optimization
Optimize cloud infrastructure costs through resource rightsizing, reserved instances, spot instances, and waste reduction strategies.
skills/infrastructure-cost-optimization/SKILL.md
Source commit 3f5182cfd739fc113f4af5244a1cf342ad7f7911
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 381
- Repository last updated
- Mar 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- devops Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 2,386 bytesSKILL.mdcore · 2,386 bytesreferences/aws-cost-optimization-configuration.mddoc · 4,672 bytesreferences/cost-monitoring-dashboard.mddoc · 3,953 bytesreferences/kubernetes-cost-optimization.mddoc · 2,138 bytesscripts/validate-config.shruns · 427 bytestemplates/config-starter.yamlasset · 453 bytes
Read excerpt
# Infrastructure Cost Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Reduce infrastructure costs through intelligent resource allocation, reserved instances, spot instances, and continuous optimization without sacrificing performance.