Agent skill
managing-incidents
Guide incident response from detection to post-mortem using SRE principles, severity classification, on-call management, blameless culture, and communication protocols. Use when setting up incident processes, designing escalation policies, or conducting post-mortems.
Install this agent skill to your Project
npx add-skill https://github.com/ancoleman/ai-design-components/tree/main/skills/managing-incidents
SKILL.md
Incident Management
Provide end-to-end incident management guidance covering detection, response, communication, and learning. Emphasizes SRE culture, blameless post-mortems, and structured processes for high-reliability operations.
When to Use This Skill
Apply this skill when:
- Setting up incident response processes for a team
- Designing on-call rotations and escalation policies
- Creating runbooks for common failure scenarios
- Conducting blameless post-mortems after incidents
- Implementing incident communication protocols (internal and external)
- Choosing incident management tooling and platforms
- Improving MTTR and incident frequency metrics
Core Principles
Incident Management Philosophy
Declare Early and Often: Do not wait for certainty. Declaring an incident enables coordination, can be downgraded if needed, and prevents delayed response.
Mitigation First, Root Cause Later: Stop customer impact immediately (rollback, disable feature, failover). Debug and fix root cause after stability restored.
Blameless Culture: Assume good intentions. Focus on how systems failed, not who failed. Create psychological safety for honest learning.
Clear Command Structure: Assign Incident Commander (IC) to own coordination. IC delegates tasks but does not do hands-on debugging.
Communication is Critical: Internal coordination via dedicated channels, external transparency via status pages. Update stakeholders every 15-30 minutes during critical incidents.
Severity Classification
Standard severity levels with response times:
SEV0 (P0) - Critical Outage:
- Impact: Complete service outage, critical data loss, payment processing down
- Response: Page immediately 24/7, all hands on deck, executive notification
- Example: API completely down, entire customer base affected
SEV1 (P1) - Major Degradation:
- Impact: Major functionality degraded, significant customer subset affected
- Response: Page during business hours, escalate off-hours, IC assigned
- Example: 15% error rate, critical feature unavailable
SEV2 (P2) - Minor Issues:
- Impact: Minor functionality impaired, edge case bug, small user subset
- Response: Email/Slack alert, next business day response
- Example: UI glitch, non-critical feature slow
SEV3 (P3) - Low Impact:
- Impact: Cosmetic issues, no customer functionality affected
- Response: Ticket queue, planned sprint
- Example: Visual inconsistency, documentation error
For detailed severity decision framework and interactive classifier, see references/severity-classification.md.
Incident Roles
Incident Commander (IC):
- Owns overall incident response and coordination
- Makes strategic decisions (rollback vs. debug, when to escalate)
- Delegates tasks to responders (does NOT do hands-on debugging)
- Declares incident resolved when stability confirmed
Communications Lead:
- Posts status updates to internal and external channels
- Coordinates with stakeholders (executives, product, support)
- Drafts post-incident customer communication
- Cadence: Every 15-30 minutes for SEV0/SEV1
Subject Matter Experts (SMEs):
- Hands-on debugging and mitigation
- Execute runbooks and implement fixes
- Provide technical context to IC
Scribe:
- Documents timeline, actions, decisions in real-time
- Records incident notes for post-mortem reconstruction
Assign roles based on severity:
- SEV2/SEV3: Single responder
- SEV1: IC + SME(s)
- SEV0: IC + Communications Lead + SME(s) + Scribe
For detailed role responsibilities, see references/incident-roles.md.
On-Call Management
Rotation Patterns
Primary + Secondary:
- Primary: First responder
- Secondary: Backup if primary doesn't ack within 5 minutes
- Rotation length: 1 week (optimal balance)
Follow-the-Sun (24/7):
- Team A: US hours, Team B: Europe hours, Team C: Asia hours
- Benefit: No night shifts, improved work-life balance
- Requires: Multiple global teams
Tiered Escalation:
- Tier 1: Junior on-call (common issues, runbook-driven)
- Tier 2: Senior on-call (complex troubleshooting)
- Tier 3: Team lead/architect (critical decisions)
Best Practices
- Rotation length: 1 week per rotation
- Handoff ceremony: 30-minute call to discuss active issues
- Compensation: On-call stipend + time off after major incidents
- Tooling: PagerDuty, Opsgenie, or incident.io
- Limits: Max 2-3 pages per night; escalate if exceeded
Incident Response Workflow
Standard incident lifecycle:
Detection → Triage → Declaration → Investigation
↓
Mitigation → Resolution → Monitoring → Closure
↓
Post-Mortem (within 48 hours)
Key Decision Points
When to Declare: When in doubt, declare (can always downgrade severity)
When to Escalate:
- No progress after 30 minutes
- Severity increases (SEV2 → SEV1)
- Specialized expertise needed
When to Close:
- Issue resolved and stable for 30+ minutes
- Monitoring shows all metrics at baseline
- No customer-reported issues
For complete workflow details, see references/incident-workflow.md.
Communication Protocols
Internal Communication
Incident Slack Channel:
- Format:
#incident-YYYY-MM-DD-topic-description - Pin: Severity, IC name, status update template, runbook links
War Room: Video call for SEV0/SEV1 requiring real-time voice coordination
Status Update Cadence:
- SEV0: Every 15 minutes
- SEV1: Every 30 minutes
- SEV2: Every 1-2 hours or at major milestones
External Communication
Status Page:
- Tools: Statuspage.io, Instatus, custom
- Stages: Investigating → Identified → Monitoring → Resolved
- Transparency: Acknowledge issue publicly, provide ETAs when possible
Customer Email:
- When: SEV0/SEV1 affecting customers
- Timing: Within 1 hour (acknowledge), post-resolution (full details)
- Tone: Apologetic, transparent, action-oriented
Regulatory Notifications:
- Data Breach: GDPR requires notification within 72 hours
- Financial Services: Immediate notification to regulators
- Healthcare: HIPAA breach notification rules
For communication templates, see examples/communication-templates.md.
Runbooks and Playbooks
Runbook Structure
Every runbook should include:
- Trigger: Alert conditions that activate this runbook
- Severity: Expected severity level
- Prerequisites: System state requirements
- Steps: Numbered, executable commands (copy-pasteable)
- Verification: How to confirm fix worked
- Rollback: How to undo if steps fail
- Owner: Team/person responsible
- Last Updated: Date of last revision
Best Practices
- Executable: Commands copy-pasteable, not just descriptions
- Tested: Run during disaster recovery drills
- Versioned: Track changes in Git
- Linked: Reference from alert definitions
- Automated: Convert manual steps to scripts over time
For runbook templates, see examples/runbooks/ directory.
Blameless Post-Mortems
Blameless Culture Tenets
Assume Good Intentions: Everyone made the best decision with information available.
Focus on Systems: Investigate how processes failed, not who failed.
Psychological Safety: Create environment where honesty is rewarded.
Learning Opportunity: Incidents are gifts of organizational knowledge.
Post-Mortem Process
1. Schedule Review (Within 48 Hours): While memory is fresh
2. Pre-Work: Reconstruct timeline, gather metrics/logs, draft document
3. Meeting Facilitation:
- Timeline walkthrough
- 5 Whys Analysis to identify systemic root causes
- What Went Well / What Went Wrong
- Define action items with owners and due dates
4. Post-Mortem Document:
- Sections: Summary, Timeline, Root Cause, Impact, What Went Well/Wrong, Action Items
- Distribution: Engineering, product, support, leadership
- Storage: Archive in searchable knowledge base
5. Follow-Up: Track action items in sprint planning
For detailed facilitation guide and template, see references/blameless-postmortems.md and examples/postmortem-template.md.
Alert Design Principles
Actionable Alerts Only:
- Every alert requires human action
- Include graphs, runbook links, recent changes
- Deduplicate related alerts
- Route to appropriate team based on service ownership
Preventing Alert Fatigue:
- Audit alerts quarterly: Remove non-actionable alerts
- Increase thresholds for noisy metrics
- Use anomaly detection instead of static thresholds
- Limit: Max 2-3 pages per night
Tool Selection
Incident Management Platforms
PagerDuty:
- Best for: Established enterprises, complex escalation policies
- Cost: $19-41/user/month
- When: Team size 10+, budget $500+/month
Opsgenie:
- Best for: Atlassian ecosystem users, flexible routing
- Cost: $9-29/user/month
- When: Using Atlassian products, budget $200-500/month
incident.io:
- Best for: Modern teams, AI-powered response, Slack-native
- When: Team size 5-50, Slack-centric culture
For detailed tool comparison, see references/tool-comparison.md.
Status Page Solutions
Statuspage.io: Most trusted, easy setup ($29-399/month) Instatus: Budget-friendly, modern design ($19-99/month)
Metrics and Continuous Improvement
Key Incident Metrics
MTTA (Mean Time To Acknowledge):
- Target: < 5 minutes for SEV1
- Improvement: Better on-call coverage
MTTR (Mean Time To Recovery):
- Target: < 1 hour for SEV1
- Improvement: Runbooks, automation
MTBF (Mean Time Between Failures):
- Target: > 30 days for critical services
- Improvement: Root cause fixes
Incident Frequency:
- Track: SEV0, SEV1, SEV2 counts per month
- Target: Downward trend
Action Item Completion Rate:
- Target: > 90%
- Improvement: Sprint integration, ownership clarity
Continuous Improvement Loop
Incident → Post-Mortem → Action Items → Prevention
↑ ↓
└──────────── Fewer Incidents ─────────────┘
Decision Frameworks
Severity Classification Decision Tree
Is production completely down or critical data at risk?
├─ YES → SEV0
└─ NO → Is major functionality degraded?
├─ YES → Is there a workaround?
│ ├─ YES → SEV1
│ └─ NO → SEV0
└─ NO → Are customers impacted?
├─ YES → SEV2
└─ NO → SEV3
Use interactive classifier: python scripts/classify-severity.py
Escalation Matrix
For detailed escalation guidance, see references/escalation-matrix.md.
Mitigation vs. Root Cause
Prioritize Mitigation When:
- Active customer impact ongoing
- Quick fix available (rollback, disable feature)
Prioritize Root Cause When:
- Customer impact already mitigated
- Fix requires careful analysis
Default: Mitigation first (99% of cases)
Anti-Patterns to Avoid
- Delayed Declaration: Waiting for certainty before declaring incident
- Skipping Post-Mortems: "Small" incidents still provide learning
- Blame Culture: Punishing individuals prevents systemic learning
- Ignoring Action Items: Post-mortems without follow-through waste time
- No Clear IC: Multiple people leading creates confusion
- Alert Fatigue: Noisy, non-actionable alerts cause on-call to ignore pages
- Hands-On IC: IC should delegate debugging, not do it themselves
Implementation Checklist
Phase 1: Foundation (Week 1)
- Define severity levels (SEV0-SEV3)
- Choose incident management platform
- Set up basic on-call rotation
- Create incident Slack channel template
Phase 2: Processes (Weeks 2-3)
- Create first 5 runbooks for common incidents
- Set up status page
- Train team on incident response
- Conduct tabletop exercise
Phase 3: Culture (Weeks 4+)
- Conduct first blameless post-mortem
- Establish post-mortem cadence
- Implement MTTA/MTTR dashboards
- Track action items in sprint planning
Phase 4: Optimization (Months 3-6)
- Automate incident declaration
- Implement runbook automation
- Monthly disaster recovery drills
- Quarterly incident trend reviews
Integration with Other Skills
Observability: Monitoring alerts trigger incidents → Use incident-management for response
Disaster Recovery: DR provides recovery procedures → Incident-management provides operational response
Security Incident Response: Similar process with added compliance/forensics
Infrastructure-as-Code: IaC enables fast recovery via automated rebuild
Performance Engineering: Performance incidents trigger response → Performance team investigates post-mitigation
Examples and Templates
Runbook Templates:
examples/runbooks/database-failover.mdexamples/runbooks/cache-invalidation.mdexamples/runbooks/ddos-mitigation.md
Post-Mortem Template:
examples/postmortem-template.md- Complete blameless post-mortem structure
Communication Templates:
examples/communication-templates.md- Status updates, customer emails
On-Call Handoff:
examples/oncall-handoff-template.md- Weekly handoff format
Integration Scripts:
examples/integrations/pagerduty-slack.pyexamples/integrations/statuspage-auto-update.pyexamples/integrations/postmortem-generator.py
Scripts
Interactive Severity Classifier:
python scripts/classify-severity.py
Asks questions to determine appropriate severity level based on impact and urgency.
Further Reading
Books:
- Google SRE Book: "Postmortem Culture" (Chapter 15)
- "The Phoenix Project" by Gene Kim
- "Site Reliability Engineering" (Full book)
Online Resources:
- Atlassian: "How to Run a Blameless Postmortem"
- PagerDuty: "Incident Response Guide"
- Google SRE: "Postmortem Culture: Learning from Failure"
Standards:
- Incident Command System (ICS) - FEMA standard adapted for tech
- ITIL Incident Management - Traditional IT service management
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
designing-sdks
Design production-ready SDKs with retry logic, error handling, pagination, and multi-language support. Use when building client libraries for APIs or creating developer-facing SDK interfaces.
administering-linux
Manage Linux systems covering systemd services, process management, filesystems, networking, performance tuning, and troubleshooting. Use when deploying applications, optimizing server performance, diagnosing production issues, or managing users and security on Linux servers.
implementing-api-patterns
API design and implementation across REST, GraphQL, gRPC, and tRPC patterns. Use when building backend services, public APIs, or service-to-service communication. Covers REST frameworks (FastAPI, Axum, Gin, Hono), GraphQL libraries (Strawberry, async-graphql, gqlgen, Pothos), gRPC (Tonic, Connect-Go), tRPC for TypeScript, pagination strategies (cursor-based, offset-based), rate limiting, caching, versioning, and OpenAPI documentation generation. Includes frontend integration patterns for forms, tables, dashboards, and ai-chat skills.
prompt-engineering
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
deploying-applications
Deployment patterns from Kubernetes to serverless and edge functions. Use when deploying applications, setting up CI/CD, or managing infrastructure. Covers Kubernetes (Helm, ArgoCD), serverless (Vercel, Lambda), edge (Cloudflare Workers, Deno), IaC (Pulumi, OpenTofu, SST), and GitOps patterns.
optimizing-costs
Optimize cloud infrastructure costs through FinOps practices, commitment discounts, right-sizing, and automated cost management. Use when reducing cloud spend, implementing budget controls, or establishing cost visibility across AWS, Azure, GCP, and Kubernetes environments.
Didn't find tool you were looking for?