Triage pods restarting repeatedly and identify the most likely root cause.
SkillScore100Maintained
Automatic
◆DevOps & SRE pack
Last verified 8/3/2026
What it changes
Passed 23 of 23 test cases with the skill, and 22 of 23 without it.
Without skill96%
With skill100%
Checks it passed that the model alone missed
Check upstream service dependencies.
1 fixed22 passed either way0 still failing0 broke
Pass-rate lift
+4 pp
Tokens
-9%
Agent turns
0%
Response time
-40%
Model gemini-3.6-flashMeasured 8/3/2026v123 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
A test case the skill fixed. Same model, same prompt, with and without the skill.
Prompt
A web application pod `frontend-api` enters CrashLoopBackOff due to repeated readiness and liveness probe HTTP failures. An engineer proposes permanently removing all health probes from the manifest. What two areas should be inspected instead of removing the health probes? State the inspection areas.
What was checked, without and with the skill
Checked
Without skill
With skill
Check probe configuration.
Passed
Passed
Check upstream service dependencies.
Missed
Passed
case-04 · 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.md49 linessingle file
When to use
Use when a pod is in CrashLoopBackOff or restarting and you need to determine why.
Preconditions
You have read access to the cluster and target namespace.
You know the namespace and either a pod name or the owning workload.
Procedure
Identify the crashing container and restart count.
Inspect last termination reason/exit code and recent events.
Pull logs for the previous container instance.
Classify the failure mode (config, dependency, permissions, resource, app bug).
Identify the minimal safe remediation and how to verify.
Decision points
Exit code 137 / OOMKilled: investigate memory limits/usage and leaks.