AI-powered multi-cloud cost optimization skill with ML-based recommendations, predictive spending analysis, and automated cost-saving measures.
SkillScore91Maintained
Automatic
◆DevOps & SRE pack
Last verified 8/4/2026
What it changes
Passed 20 of 22 test cases with the skill, and 10 of 22 without it.
Without skill45%
With skill91%
Checks it passed that the model alone missed
Require human approval for changes to AI models
Convert all cost metrics into a single baseline currency
Specify 'storage' as the optimizationType parameter value
and 7 more in the full report
10 fixed10 passed either way2 still failing0 broke
Pass-rate lift
+45 pp
Tokens
+57%
Agent turns
0%
Response time
-29%
Model gemini-3.6-flashMeasured 8/4/2026v120 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 10
Prompt
Which specific enum value must be set in the `optimizationType` input field when target operations focus strictly on S3 and Blob storage lifecycle policies?
What was checked, without and with the skill
Checked
Without skill
With skill
Specify 'storage' as the optimizationType parameter value
Missed
Passed
case-14 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md127 lines5 filesincludes scripts
Cost Optimizer — Multi-Cloud Enterprise Automation with AI
Purpose
Enterprise-grade automation solution for cost optimizer operations across AWS, Azure, GCP, and on-premise environments with advanced AI capabilities including ML-based cost optimization, predictive spending analysis, and automated cost-saving measures to maximize operational efficiency while maintaining security and compliance standards.
When to Use
Cost Spikes: When monthly cloud bills increase unexpectedly (>20% month-over-month)
Resource Waste: When you suspect unused or underutilized resources (idle instances, abandoned storage)
Budget Planning: For quarterly budget reviews and cost forecasting with AI predictions
Provider Comparison: When evaluating which cloud provider offers better pricing for specific workloads
Rightsizing: When VMs or containers appear over-provisioned for actual usage
Storage Optimization: When storage costs grow faster than data usage patterns
Network Costs: When data transfer egress charges become significant
AI-Powered Analysis: For ML-based cost optimization and predictive spending insights
Gotchas
Common Pitfalls
Reserved Instance Conflicts: Don't recommend RI purchases without checking existing commitments and expiration dates
Usage Forecasting: Cost optimization based on single-day data can be misleading. Use 30-90 day trends
Cross-Provider Arbitrage: Network egress costs often offset compute savings between providers
Tagging Inconsistency: Untagged resources cannot be properly categorized or optimized
Edge Cases
Burst Workloads: Seasonal businesses need different optimization strategies than steady-state workloads
Compliance Requirements: Some regions/instance types may be required for compliance despite higher costs
Multi-Region Deployments: Latency requirements may prevent consolidation to cheaper regions
Legacy Applications: Older systems may not support modern instance types or storage classes
Performance Issues
API Rate Limits: Cost Explorer APIs have strict limits (5 requests/second for AWS). Implement caching
Large Account Analysis: Accounts with >10,000 resources may timeout. Use pagination and parallel processing
Currency Conversion: Always convert to single currency for accurate comparison across providers
Data Retention: Cost and usage data typically only available for 12 months in most cloud providers
Security Considerations
Cost Data Sensitivity: Cloud billing data can reveal company size, usage patterns, and architecture details
Access Permissions: Cost optimization requires billing access which may be restricted in some organizations
Third-Party Tools: Be cautious with external cost management tools that require full billing access
Data Export: Exporting cost data may violate compliance or data residency requirements