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name: incident-response description: Respond to production incidents systematically with triage, investigation, resolution, and post-mortem analysis to minimize downtime and prevent recurrence. Use when handling production outages, triaging incidents, investigating critical bugs, coordinating incident response, implementing hotfixes, conducting post-mortems, or establishing incident response procedures.

Incident Response - Production Issue Management

When to use this skill

• Responding to production outages
• Triaging critical incidents
• Investigating high-severity bugs
• Coordinating incident response teams
• Implementing emergency hotfixes
• Conducting post-mortem analyses
• Establishing incident response procedures
• Communicating status during incidents
• Creating runbooks for common issues
• Implementing rollback strategies
• Documenting incident timelines
• Preventing incident recurrence

When to use this skill

• Responding to outages, managing incidents, conducting postmortems.
• When working on related tasks or features
• During development that requires this expertise

Use when: Responding to outages, managing incidents, conducting postmortems.

Incident Response Process

1. Detect

• Monitoring alerts
• User reports
• Automated checks

2. Triage

• Assess severity (P0-P4)
• Page on-call engineer
• Create incident channel

3. Mitigate

• Rollback to last known good
• Scale resources
• Apply hotfix
• Communicate status

4. Resolve

• Verify fix
• Monitor metrics
• Update status page
• Close incident

5. Postmortem

• Timeline of events
• Root cause analysis
• Action items
• Follow-up tasks

Severity Levels

• P0 (Critical): Complete outage, data loss
• P1 (High): Major feature broken, revenue impact
• P2 (Medium): Degraded performance, workaround exists
• P3 (Low): Minor bug, cosmetic issue
• P4 (Informational): Enhancement request

Example Runbook

```markdown

High CPU Usage Runbook

Symptoms

• Server CPU > 90%
• Slow response times
• Request timeouts

Investigation

1. Check top processes: `top`
2. Check memory: `free -h`
3. Check logs: `tail -f app.log`

Mitigation

1. Scale horizontally: Add servers
2. Restart service: `systemctl restart app`
3. Rate limit: Enable aggressive rate limiting

Resolution

1. Identify root cause (N+1 query, memory leak, etc.)
2. Deploy fix
3. Monitor for 1 hour ```

Communication Template

``` [INCIDENT] Service X degraded

Status: Investigating Impact: 20% of users seeing slow load times ETA: 30 minutes

Updates:

• 10:00 AM: Issue detected
• 10:05 AM: On-call paged, investigation started
• 10:15 AM: Root cause identified (database bottleneck)
• 10:30 AM: Fix deployed, monitoring

Next update: 11:00 AM ```

Resources

• Incident Management Guide
• Postmortem Template
• PagerDuty