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incident-commander

Comprehensive incident response framework from detection through resolution and post-incident review. Battle-tested SRE/DevOps practices: severity c…

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Incident Commander Skill

Category: Engineering Team

Tier: POWERFUL

Author: Claude Skills Team

Version: 1.0.0

Last Updated: February 2026

Overview

Incident response framework for availability/reliability incidents (outages, degradations, failed deploys): severity classification, timeline reconstruction, and post-incident review.

This is NOT security incident triage. For security events (ransomware, intrusion, data exfiltration, IOC analysis, NIST SP 800-61 forensics), route to incident-response. Both skills use SEV1-SEV4 labels; this one scores operational impact (users, revenue, SLA), while incident-response classifies attack types and forensic handling.

Key Features

  • Automated Severity Classification - Intelligent incident triage based on impact and urgency metrics
  • Timeline Reconstruction - Transform scattered logs and events into coherent incident narratives
  • Post-Incident Review Generation - Structured PIRs with multiple RCA frameworks
  • Communication Templates - Pre-built templates for stakeholder updates and escalations
  • Runbook Integration - Generate actionable runbooks from incident patterns

Skills Included

Core Tools

  1. Incident Classifier (incident_classifier.py)
  • Analyzes incident descriptions and outputs severity levels
  • Recommends response teams and initial actions
  • Generates communication templates based on severity
  1. Timeline Reconstructor (timeline_reconstructor.py)
  • Processes timestamped events from multiple sources
  • Reconstructs chronological incident timeline
  • Identifies gaps and provides duration analysis
  1. PIR Generator (pir_generator.py)
  • Creates comprehensive Post-Incident Review documents
  • Applies multiple RCA frameworks (5 Whys, Fishbone, Timeline)
  • Generates actionable follow-up items

Incident Response Framework

Severity Classification System

SEV1 - Critical Outage

Definition: Complete service failure affecting all users or critical business functions

Characteristics:

  • Customer-facing services completely unavailable
  • Data loss or corruption affecting users
  • Security breaches with customer data exposure
  • Revenue-generating systems down
  • SLA violations with financial penalties

Response Requirements:

  • Immediate escalation to on-call engineer
  • Incident Commander assigned within 5 minutes
  • Executive notification within 15 minutes
  • Public status page update within 15 minutes
  • War room established
  • All hands on deck if needed

Communication Frequency: Every 15 minutes until resolution

SEV2 - Major Impact

Definition: Significant degradation affecting subset of users or non-critical functions

Characteristics:

  • Partial service degradation (>25% of users affected)
  • Performance issues causing user frustration
  • Non-critical features unavailable
  • Internal tools impacting productivity
  • Data inconsistencies not affecting user experience

Response Requirements:

  • On-call engineer response within 15 minutes
  • Incident Commander assigned within 30 minutes
  • Status page update within 30 minutes
  • Stakeholder notification within 1 hour
  • Regular team updates

Communication Frequency: Every 30 minutes during active response

SEV3 - Minor Impact

Definition: Limited impact with workarounds available

Characteristics:

  • Single feature or component affected
  • <25% of users impacted
  • Workarounds available
  • Performance degradation not significantly impacting UX
  • Non-urgent monitoring alerts

Response Requirements:

  • Response within 2 hours during business hours
  • Next business day response acceptable outside hours
  • Internal team notification
  • Optional status page update

Communication Frequency: At key milestones only

SEV4 - Low Impact

Definition: Minimal impact, cosmetic issues, or planned maintenance

Characteristics:

  • Cosmetic bugs
  • Documentation issues
  • Logging or monitoring gaps
  • Performance issues with no user impact
  • Development/test environment issues

Response Requirements:

  • Response within 1-2 business days
  • Standard ticket/issue tracking
  • No special escalation required

Communication Frequency: Standard development cycle updates

Incident Commander Role

Primary Responsibilities

  1. Command and Control
  • Own the incident response process
  • Make critical decisions about resource allocation
  • Coordinate between technical teams and stakeholders
  • Maintain situational awareness across all response streams
  1. Communication Hub
  • Provide regular updates to stakeholders
  • Manage external communications (status pages, customer notifications)
  • Facilitate effective communication between response teams
  • Shield responders from external distractions
  1. Process Management
  • Ensure proper incident tracking and documentation
  • Drive toward resolution while maintaining quality
  • Coordinate handoffs between team members
  • Plan and execute rollback strategies if needed
  1. Post-Incident Leadership
  • Ensure thorough post-incident reviews are conducted
  • Drive implementation of preventive measures
  • Share learnings with broader organization

Decision-Making Framework

Emergency Decisions (SEV1/2):

  • Incident Commander has full authority
  • Bias toward action over analysis
  • Document decisions for later review
  • Consult subject matter experts but don't get blocked

Resource Allocation:

  • Can pull in any necessary team members
  • Authority to escalate to senior leadership
  • Can approve emergency spend for external resources
  • Make call on communication channels and timing

Technical Decisions:

  • Lean on technical leads for implementation details
  • Make final calls on trade-offs between speed and risk
  • Approve rollback vs. fix-forward strategies
  • Coordinate testing and validation approaches

Communication Templates

Initial Incident Notification (SEV1/2)

Subject: [SEV{severity}] {Service Name} - {Brief Description}

Incident Details:
- Start Time: {timestamp}
- Severity: SEV{level}
- Impact: {user impact description}
- Current Status: {investigating/mitigating/resolved}

Technical Details:
- Affected Services: {service list}
- Symptoms: {what users are experiencing}
- Initial Assessment: {suspected root cause if known}

Response Team:
- Incident Commander: {name}
- Technical Lead: {name}
- SMEs Engaged: {list}

Next Update: {timestamp}
Status Page: {link}
War Room: {bridge/chat link}

---
{Incident Commander Name}
{Contact Information}

Executive Summary (SEV1)

Subject: URGENT - Customer-Impacting Outage - {Service Name}

Executive Summary:
{2-3 sentence description of customer impact and business implications}

Key Metrics:
- Time to Detection: {X minutes}
- Time to Engagement: {X minutes} 
- Estimated Customer Impact: {number/percentage}
- Current Status: {status}
- ETA to Resolution: {time or "investigating"}

Leadership Actions Required:
- [ ] Customer communication approval
- [ ] PR/Communications coordination  
- [ ] Resource allocation decisions
- [ ] External vendor engagement

Incident Commander: {name} ({contact})
Next Update: {time}

---
This is an automated alert from our incident response system.

Customer Communication Template

We are currently experiencing {brief description of issue} affecting {scope of impact}. 

Our engineering team was alerted at {time} and is actively working to resolve the issue. We will provide updates every {frequency} until resolved.

What we know:
- {factual statement of impact}
- {factual statement of scope}
- {brief status of response}

What we're doing:
- {primary response action}
- {secondary response action}

Workaround (if available):
{workaround steps or "No workaround currently available"}

We apologize for the inconvenience and will share more information as it becomes available.

Next update: {time}
Status page: {link}

Stakeholder Management

Stakeholder Classification

Internal Stakeholders:

  • Engineering Leadership - Technical decisions and resource allocation
  • Product Management - Customer impact assessment and feature implications
  • Customer Support - User communication and support ticket management
  • Sales/Account Management - Customer relationship management for enterprise clients
  • Executive Team - Business impact decisions and external communication approval
  • Legal/Compliance - Regulatory reporting and liability assessment

External Stakeholders:

  • Customers - Service availability and impact communication
  • Partners - API availability and integration impacts
  • Vendors - Third-party service dependencies and support escalation
  • Regulators - Compliance reporting for regulated industries
  • Public/Media - Transparency for public-facing outages

Communication Cadence by Stakeholder

| Stakeholder | SEV1 | SEV2 | SEV3 | SEV4 |

|-------------|------|------|------|------|

| Engineering Leadership | Real-time | 30min | 4hrs | Daily |

| Executive Team | 15min | 1hr | EOD | Weekly |

| Customer Support | Real-time | 30min | 2hrs | As needed |

| Customers | 15min | 1hr | Optional | None |

| Partners | 30min | 2hrs | Optional | None |

Runbook Generation Framework

Dynamic Runbook Components

  1. Detection Playbooks
  • Monitoring alert definitions
  • Triage decision trees
  • Escalation trigger points
  • Initial response actions
  1. Response Playbooks
  • Step-by-step mitigation procedures
  • Rollback instructions
  • Validation checkpoints
  • Communication checkpoints
  1. Recovery Playbooks
  • Service restoration procedures
  • Data consistency checks
  • Performance validation
  • User notification processes

Runbook Template Structure

# {Service/Component} Incident Response Runbook

## Quick Reference
- **Severity Indicators:** {list of conditions for each severity level}
- **Key Contacts:** {on-call rotations and escalation paths}
- **Critical Commands:** {list of emergency commands with descriptions}

## Detection
### Monitoring Alerts
- {Alert name}: {description and thresholds}
- {Alert name}: {description and thresholds}

### Manual Detection Signs
- {Symptom}: {what to look for and where}
- {Symptom}: {what to look for and where}

## Initial Response (0-15 minutes)
1. **Assess Severity**
   - [ ] Check {primary metric}
   - [ ] Verify {secondary indicator}
   - [ ] Classify as SEV{level} based on {criteria}

2. **Establish Command**
   - [ ] Page Incident Commander if SEV1/2
   - [ ] Create incident tracking ticket
   - [ ] Join war room: {link/bridge info}

3. **Initial Investigation**
   - [ ] Check recent deployments: {deployment log location}
   - [ ] Review error logs: {log location and queries}
   - [ ] Verify dependencies: {dependency check commands}

## Mitigation Strategies
### Strategy 1: {Name}
**Use when:** {conditions}
**Steps:**
1. {detailed step with commands}
2. {detailed step with expected outcomes}
3. {validation step}

**Rollback Plan:**
1. {rollback step}
2. {verification step}

### Strategy 2: {Name}
{similar structure}

## Recovery and Validation
1. **Service Restoration**
   - [ ] {restoration step}
   - [ ] Wait for {metric} to return to normal
   - [ ] Validate end-to-end functionality

2. **Communication**
   - [ ] Update status page
   - [ ] Notify stakeholders
   - [ ] Schedule PIR

## Common Pitfalls
- **{Pitfall}:** {description and how to avoid}
- **{Pitfall}:** {description and how to avoid}

## Reference Information
→ See references/reference-information.md for details

## Usage Examples

### Example 1: Database Connection Pool Exhaustion

Classify the incident

echo '{"description": "Users reporting 500 errors, database connections timing out", "affected_users": "80%", "business_impact": "high"}' | python scripts/incident_classifier.py

Reconstruct timeline from logs

python scripts/timeline_reconstructor.py --input assets/sample_timeline_events.json --output timeline.md

Generate PIR after resolution

python scripts/pir_generator.py --incident assets/sample_incident_data.json --timeline timeline.md --output pir.md


### Example 2: API Rate Limiting Incident

Quick classification from stdin

echo "API rate limits causing customer API calls to fail" | python scripts/incident_classifier.py --format text

Build timeline from multiple sources

python scripts/timeline_reconstructor.py --input assets/simple_timeline_events.json --detect-phases --gap-analysis

Generate comprehensive PIR

python scripts/pir_generator.py --incident assets/sample_incident_pir_data.json --rca-method fishbone --action-items


## Best Practices

### During Incident Response

1. **Maintain Calm Leadership**
   - Stay composed under pressure
   - Make decisive calls with incomplete information
   - Communicate confidence while acknowledging uncertainty

2. **Document Everything**
   - All actions taken and their outcomes
   - Decision rationale, especially for controversial calls
   - Timeline of events as they happen

3. **Effective Communication**
   - Use clear, jargon-free language
   - Provide regular updates even when there's no new information
   - Manage stakeholder expectations proactively

4. **Technical Excellence**
   - Prefer rollbacks to risky fixes under pressure
   - Validate fixes before declaring resolution
   - Plan for secondary failures and cascading effects

### Post-Incident

1. **Blameless Culture**
   - Focus on system failures, not individual mistakes
   - Encourage honest reporting of what went wrong
   - Celebrate learning and improvement opportunities

2. **Action Item Discipline**
   - Assign specific owners and due dates
   - Track progress publicly
   - Prioritize based on risk and effort

3. **Knowledge Sharing**
   - Share PIRs broadly within the organization
   - Update runbooks based on lessons learned
   - Conduct training sessions for common failure modes

4. **Continuous Improvement**
   - Look for patterns across multiple incidents
   - Invest in tooling and automation
   - Regularly review and update processes

## Integration with Existing Tools

### Monitoring and Alerting
- PagerDuty/Opsgenie integration for escalation
- Datadog/Grafana for metrics and dashboards
- ELK/Splunk for log analysis and correlation

### Communication Platforms
- Slack/Teams for war room coordination
- Zoom/Meet for video bridges
- Status page providers (Statuspage.io, etc.)

### Documentation Systems
- Confluence/Notion for PIR storage
- GitHub/GitLab for runbook version control
- JIRA/Linear for action item tracking

### Change Management
- CI/CD pipeline integration
- Deployment tracking systems
- Feature flag platforms for quick rollbacks

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