incident-management
incident-management is an code AI skill with a core value of Implement incident management processes and escalation procedures. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Implement incident management processes and escalation procedures. Configure on-call schedules and post-incident reviews. Use when managing production incidents.
Quick Facts
mkdir -p ./skills/incident-management && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/incident-management/SKILL.md -o ./skills/incident-management/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Incident Management
Implement effective incident management processes including severity definitions, escalation matrices, war room procedures, and blameless post-mortem templates.
When to Use
- Establishing incident management processes for production systems
- Defining severity levels and escalation procedures
- Running war rooms and coordinating incident response
- Conducting blameless post-incident reviews
- Building on-call schedules and notification workflows
- Meeting compliance requirements for incident response (SOC 2, HIPAA, PCI DSS)
Severity Levels
severity_definitions:
SEV1_critical:
impact: "Complete service outage or data breach affecting all/most customers"
examples:
- Production site completely down
- Data breach confirmed or suspected
- Complete loss of a critical business function
- Security incident with active exploitation
response_time: "Immediate (within 5 minutes)"
update_frequency: "Every 15-30 minutes"
who_is_paged: "On-call engineer, engineering manager, incident commander, executive on-call"
communication: "Status page update, customer email, executive notification"
resolution_target: "< 1 hour to mitigate"
SEV2_major:
impact: "Major feature broken or severe degradation affecting many customers"
examples:
- Key feature completely non-functional
- Significant performance degradation (>5x latency)
- Data processing pipeline completely stalled
- Partial outage affecting a region or segment
response_time: "Within 15 minutes"
update_frequency: "Every 30-60 minutes"
who_is_paged: "On-call engineer, engineering manager"
communication: "Status page update if customer-facing"
resolution_target: "< 4 hours to mitigate"
SEV3_moderate:
impact: "Minor feature impaired or degradation affecting some customers"
examples:
- Non-critical feature broken
- Moderate performance degradation
- Elevated error rate (below threshold for SEV2)
- Single-customer impact on non-critical function
response_time: "Within 1 hour during business hours"
update_frequency: "Every 2-4 hours"
who_is_paged: "On-call engineer"
communication: "Internal only unless customer inquires"
resolution_target: "< 1 business day"
SEV4_low:
impact: "Cosmetic issue, minor inconvenience, or non-customer-facing problem"
examples:
- UI cosmetic bug
- Non-critical monitoring gap
- Internal tool degradation
- Documentation inaccuracy in production
response_time: "Next business day"
update_frequency: "As needed"
who_is_paged: "None (ticket created)"
communication: "None"
resolution_target: "Within sprint planning cycle"Escalation Matrix
escalation_matrix:
tier_1_on_call_engineer:
reached_via: "PagerDuty / OpsGenie alert"
responsibilities:
- Acknowledge alert within 5 minutes
- Assess severity and impact
- Begin troubleshooting
- Escalate to Tier 2 if unable to resolve within 30 minutes (SEV1/2)
escalation_trigger: "Cannot resolve, needs additional expertise, or severity upgrade"
tier_2_team_lead_or_sme:
reached_via: "PagerDuty escalation or direct page"
responsibilities:
- Provide subject matter expertise
- Assist with diagnosis and resolution
- Coordinate with other teams if cross-service issue
- Escalate to Tier 3 if broader coordination needed
escalation_trigger: "Multi-service issue, needs executive decision, or customer-facing SEV1"
tier_3_engineering_management:
reached_via: "PagerDuty escalation or direct call"
responsibilities:
- Assign incident commander (if not already)
- Allocate additional resources
- Make business decisions (feature disable, rollback, etc.)
- Coordinate external communication
escalation_trigger: "Business impact decision, extended outage, or PR/legal concern"
t🎯 Best For
- Engineering teams doing code reviews
- Open source maintainers
- Claude users
- Software engineers
- Development teams
💡 Use Cases
- Reviewing pull requests for security vulnerabilities
- Checking code style consistency
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply incident-management to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this skill check for OWASP Top 10?
Security-focused review skills often include OWASP checks. Check the skill content for specific vulnerability categories covered.
Is incident-management compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for incident-management?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install incident-management?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/incident-management/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Blindly accepting AI suggestions
Always verify AI-generated review comments. Some suggestions may not apply to your specific codebase conventions.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.