Use when incidents occur and you need to triage, categorize, and execute response runbooks automatically. Correlates alerts, identifies root causes, escalates to appropriate teams, and executes remediation procedures for production incidents.
SkillScore96Maintained
Automatic
◆DevOps & SRE pack
Last verified 8/4/2026
What it changes
Passed 22 of 23 test cases with the skill, and 12 of 23 without it.
Without skill50%
With skill96%
Checks it passed that the model alone missed
Targets all cloud providers by default
References scripts/incident-triager.py
References scripts/runbook-executor.py
and 8 more in the full report
11 fixed12 passed either way1 still failing0 broke
Pass-rate lift
+46 pp
Tokens
+30%
Agent turns
0%
Response time
-47%
Model gemini-3.6-flashMeasured 8/4/2026v123 of 24 cases passed with skill · 23 comparable
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 Python script file in core/scripts/automation handles cloud-specific operations during runbook execution?
Enterprise-grade automation solution for incident triage runbook operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.
When to Use
Production Outages: When services are down or severely degraded and immediate response is needed
High Severity Alerts: For P1/P2 incidents requiring urgent attention and coordination
Recurring Issues: When the same type of incident happens repeatedly and needs standardized response
Multi-Service Impacts: When incidents affect multiple services or require cross-team coordination
After-Hours Incidents: When on-call engineers need automated guidance and escalation procedures
Compliance Incidents: When security or compliance breaches require documented response procedures
Performance Degradation: When performance metrics breach thresholds and need investigation
Gotchas
Common Pitfalls
Alert Fatigue: Too many automated alerts can cause real incidents to be missed
False Positives: Automated triage may misclassify alerts and trigger unnecessary responses
Runbook Conflicts: Multiple runbooks may conflict when executed simultaneously
Escalation Delays: Automated escalation may not account for team availability or context
Edge Cases
Cascading Failures: Initial incident may trigger secondary failures requiring different runbooks
Partial Service Degradation: Some services working while others fail may confuse automated categorization
Third-Party Outages: Incidents caused by external providers may require different response procedures
Multi-Region Issues: Incidents affecting multiple regions need coordinated response across teams
Performance Issues
Correlation Delays: Alert correlation and analysis may take time during high-volume incidents
Resource Contention: Multiple incidents may compete for the same response resources
Communication Overload: Automated notifications may overwhelm communication channels
Database Locks: Concurrent incident updates may cause database contention
Security Considerations
Sensitive Data: Incident details may contain sensitive information that needs protection
Access Control: Runbook execution requires appropriate permissions but should follow principle of least privilege
Audit Requirements: All incident responses must be logged for compliance and post-incident review
Privacy Regulations: User data mentioned in incidents must comply with privacy laws