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incident-commander

Organize responses to service outages and degraded performance, from initial assessment through recovery review. Classify severity, reconstruct event timelines, draft stakeholder updates, and create response guides and follow-up actions based on incident findings.

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Comprehensive incident response framework from detection through resolution and post-incident review. Battle-tested SRE/DevOps practices: severity classification, timeline reconstruction, structured post-incident analysis. Use when declaring an incident, coordinating multi-team response during an outage, leading a post-mortem, or setting up on-call practices for a new service.

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适用场景

  • Classify outage severity and plan initial response
  • Reconstruct an incident timeline from scattered events
  • Draft incident updates for customers and internal teams
  • Create post-incident reviews and response guides

包含的文件(23)

  • SKILL.md14.9 KB
  • assets/incident_report_template.md4.5 KB
  • assets/runbook_template.md9.5 KB
  • assets/sample_incident_classification.json610 B
  • assets/sample_incident_data.json11.0 KB
  • assets/sample_incident_pir_data.json3.2 KB
  • assets/sample_timeline_events.json7.6 KB
  • assets/simple_incident.json161 B
  • assets/simple_timeline_events.json734 B
  • expected_outputs/incident_classification_text_output.txt1.5 KB
  • expected_outputs/pir_markdown_output.md3.2 KB
  • expected_outputs/simple_incident_classification.txt1.3 KB
  • expected_outputs/timeline_reconstruction_text_output.txt3.2 KB
  • README.md7.4 KB
  • references/communication_templates.md14.6 KB
  • references/incident_severity_matrix.md8.7 KB
  • references/incident-response-framework.md25.5 KB
  • references/rca_frameworks_guide.md15.3 KB
  • references/reference-information.md6.7 KB
  • references/sla-management-guide.md23.0 KB
  • scripts/incident_classifier.py34.1 KB
  • scripts/pir_generator.py67.9 KB
  • scripts/timeline_reconstructor.py39.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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
  2. Timeline Reconstructor (timeline_reconstructor.py)

    • Processes timestamped events from multiple sources
    • Reconstructs chronological incident timeline
    • Identifies gaps and provides duration analysis
  3. 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
  2. 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
  3. 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
  4. 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

StakeholderSEV1SEV2SEV3SEV4
Engineering LeadershipReal-time30min4hrsDaily
Executive Team15min1hrEODWeekly
Customer SupportReal-time30min2hrsAs needed
Customers15min1hrOptionalNone
Partners30min2hrsOptionalNone

Runbook Generation Framework

Dynamic Runbook Components

  1. Detection Playbooks

    • Monitoring alert definitions
    • Triage decision trees
    • Escalation trigger points
    • Initial response actions
  2. Response Playbooks

    • Step-by-step mitigation procedures
    • Rollback instructions
    • Validation checkpoints
    • Communication checkpoints
  3. 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

```bash
# 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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