A skill for systematically triaging production incidents.
When an incident occurs, this skill guides the AI to:
- Gather initial context (error logs, recent changes, affected systems)
- Identify the likely scope and severity
- Propose immediate containment actions
- Recommend investigation paths
- Production error or outage detected
- User reports system unavailable or degraded
- Monitoring alerts trigger
- Need structured approach to incident response
Ask for:
- Error messages or stack traces
- Timeline of when issue started
- Recent deployments or changes
- Affected components/services
Classify:
- Critical: User-facing outage, data loss risk
- High: Significant degradation, limited user impact
- Medium: Feature unavailable, workaround exists
- Low: Minor issue, cosmetic or edge case
Propose:
- Immediate mitigations (rollback, disable feature, scale resources)
- Communication needs (stakeholders, users)
- War room or coordination setup
Suggest:
- Logs to examine
- Metrics to check
- Code paths to review
- Hypotheses to test
## Incident Summary
- **Severity**: [Critical/High/Medium/Low]
- **Scope**: [components affected]
- **Timeline**: [when started, when detected]
## Immediate Actions
1. [containment step]
2. [containment step]
## Investigation Paths
- [path 1 with rationale]
- [path 2 with rationale]
## Recommended Next Steps
- [step 1]
- [step 2]
- Do not propose fixes without understanding root cause
- Do not suggest changes to production without explicit approval
- Always confirm severity classification with human
- Prioritize containment over root cause in critical incidents