Diagnose GCP quota errors and identify the quota, scope, and fastest safe mitigation.
SkillScore100Maintained
Automatic
◆DevOps & SRE pack
Last verified 8/3/2026
What it changes
Passed 22 of 22 test cases with the skill, and 18 of 22 without it.
Without skill82%
With skill100%
Checks it passed that the model alone missed
Recommends adding alerting before hitting quota limits.
Recommends requesting a quota increase for steady growth.
Specifies confirming that error rates drop to verify remediation.
and 4 more in the full report
4 fixed18 passed either way0 still failing0 broke
Pass-rate lift
+18 pp
Tokens
-31%
Agent turns
0%
Response time
-48%
Model gemini-3.6-flashMeasured 8/3/2026v122 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 4
Prompt
An application in GCP reported a quota exceeded error on disk provisioning. Before taking action, how do we categorize the geographic or resource boundary of the affected limit?
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends determining whether the scope is project, region, zone, or per-user.
Missed
Passed
case-08 · gemini-3.6-flash · 8/3/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md42 linessingle file
When to use
Use when services fail with quota exceeded, RESOURCE_EXHAUSTED, or similar quota limit errors.
Preconditions
You can access the project and identify the failing service and region.
Procedure
Extract the quota name/metric from the error message.
Determine the scope: project, region, zone, or per-user.
Confirm whether this is a spike (traffic/deploy) or a steady-state growth.
Identify the top consumers (which resources or calls drive the quota).
Choose mitigation: reduce usage, shift traffic, or request quota increase.
Decision points
Spike caused by deploy/loop: rollback or hotfix to reduce calls.
Legit growth: request quota increase and add alerting before hitting limits.
Regional quota: spread across regions or rebalance.
Verification
Error rate drops and quota errors stop.
Resource creation/API calls succeed.
Rollback / undo
Revert changes that increased consumption (deploy/config).
If throttling is introduced, remove it after quota is safe.
Escalation
Escalate to service owners if usage is driven by application behavior.
Escalate to cloud owners for quota increase approvals.