Optimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis.
SkillScore92Maintained
Automatic
◆DevOps & SRE pack
Last verified 8/7/2026
What it changes
Passed 23 of 25 test cases with the skill, and 21 of 25 without it.
Without skill84%
With skill92%
Checks it passed that the model alone missed
States maximum savings of up to 57%.
States savings range between 30% and 72%.
2 fixed21 passed either way2 still failing0 broke
Pass-rate lift
+8 pp
Tokens
+104%
Agent turns
0%
Response time
-14%
Model gemini-3.6-flashMeasured 8/7/2026v123 of 25 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 2
Prompt
An organization is planning GCP Compute Engine spend for predictable baseline workloads using GCP Committed Use Discounts (CUD). What commitment terms and maximum savings percentage are offered?
What was checked, without and with the skill
Checked
Without skill
With skill
States commitment term options of 1 year or 3 years.
Passed
Passed
States maximum savings of up to 57%.
Missed
Passed
case-15 · gemini-3.6-flash · 8/7/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md308 lines2 files
Cloud Cost Optimization
Strategies and patterns for optimizing cloud costs across AWS, Azure, GCP, and OCI.
Purpose
Implement systematic cost optimization strategies to reduce cloud spending while maintaining performance and reliability.