Example Session: Platform Operations

Profile: platform-ops Scenario: Respond to production incident Duration: ~45 min

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Session Flow

1. Incident Detection (5 min)

User: Alert: High error rate on order-service

Skills loaded: operations

Immediate Actions:

• Assess severity (P1 - major functionality)
• Check user impact (orders failing)
• Start incident timeline

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2. Investigation (15 min)

User: Investigate the error spike

Skills loaded: operations, monitoring

Actions:

• Check error logs for patterns
• Review recent deployments
• Analyze metrics dashboards
• Identify root cause hypothesis

Findings:

• Database connection pool exhausted
• Started after 10am traffic spike
• Pool sized for normal load, not peak

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3. Mitigation (10 min)

User: Fix the connection pool issue

Skills loaded: operations, validation

Actions:

• Increase connection pool size
• Deploy configuration change
• Monitor recovery
• Validate tracer request succeeds

Result: Error rate back to normal

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4. Documentation (10 min)

User: Document this incident

Skills loaded: meta

Actions:

• Create incident timeline
• Document root cause
• Write action items
• Update runbook

Output: Incident postmortem in .agents/learnings/

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5. Prevention (5 min)

User: Add alerting for this

Skills loaded: monitoring

Actions:

• Add connection pool utilization alert
• Link to new runbook
• Set appropriate threshold

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Skills Used Summary

Skill	When	Purpose
operations	Detection, Investigation	Incident response
monitoring	Investigation, Prevention	Metrics and alerts
validation	Mitigation	Verify fix works
meta	Documentation	Postmortem capture

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Session Outcome

• ✅ Incident mitigated
• ✅ Root cause identified
• ✅ Postmortem documented
• ✅ Runbook updated
• ✅ Alert added

Time: ~45 min (MTTR)