Incident Response Incident Response V2

incident-response-incident-response

Overview

This public intake copy packages plugins/antigravity-awesome-skills/skills/incident-response-incident-response from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Configuration, Phase 1: Detection & Triage, Phase 2: Investigation & Root Cause Analysis, Phase 3: Resolution & Recovery, Phase 4: Communication & Coordination, Phase 5: Postmortem & Prevention.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Working on incident response incident response tasks or workflows
• Needing guidance, best practices, or checklists for incident response incident response
• The task is unrelated to incident response incident response
• You need a different domain or tool outside this scope
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Clarify goals, constraints, and required inputs.
2. Apply relevant best practices and validate outcomes.
3. Provide actionable steps and verification.
4. If detailed examples are required, open resources/implementation-playbook.md.
5. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
6. Read the overview and provenance files before loading any copied upstream support files.
7. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.

Imported Workflow Notes

Imported: Instructions

• Clarify goals, constraints, and required inputs.
• Apply relevant best practices and validate outcomes.
• Provide actionable steps and verification.
• If detailed examples are required, open resources/implementation-playbook.md.

Orchestrate multi-agent incident response with modern SRE practices for rapid resolution and learning:

[Extended thinking: This workflow implements a comprehensive incident command system (ICS) following modern SRE principles. Multiple specialized agents collaborate through defined phases: detection/triage, investigation/mitigation, communication/coordination, and resolution/postmortem. The workflow emphasizes speed without sacrificing accuracy, maintains clear communication channels, and ensures every incident becomes a learning opportunity through blameless postmortems and systematic improvements.]

Imported: Configuration

Severity Levels

• P0/SEV-1: Complete outage, security breach, data loss - immediate all-hands response
• P1/SEV-2: Major degradation, significant user impact - rapid response required
• P2/SEV-3: Minor degradation, limited impact - standard response
• P3/SEV-4: Cosmetic issues, no user impact - scheduled resolution

Incident Types

• Performance degradation
• Service outage
• Security incident
• Data integrity issue
• Infrastructure failure
• Third-party service disruption

Examples

Example 1: Ask for the upstream workflow directly

Use @incident-response-incident-response-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @incident-response-incident-response-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @incident-response-incident-response-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @incident-response-incident-response-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills/skills/incident-response-incident-response, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: Phase 1: Detection & Triage

1. Incident Detection and Classification

• Use Task tool with subagent_type="incident-responder"
• Prompt: "URGENT: Detect and classify incident: $ARGUMENTS. Analyze alerts from PagerDuty/Opsgenie/monitoring. Determine: 1) Incident severity (P0-P3), 2) Affected services and dependencies, 3) User impact and business risk, 4) Initial incident command structure needed. Check error budgets and SLO violations."
• Output: Severity classification, impact assessment, incident command assignments, SLO status
• Context: Initial alerts, monitoring dashboards, recent changes

2. Observability Analysis

• Use Task tool with subagent_type="observability-monitoring::observability-engineer"
• Prompt: "Perform rapid observability sweep for incident: $ARGUMENTS. Query: 1) Distributed tracing (OpenTelemetry/Jaeger), 2) Metrics correlation (Prometheus/Grafana/DataDog), 3) Log aggregation (ELK/Splunk), 4) APM data, 5) Real User Monitoring. Identify anomalies, error patterns, and service degradation points."
• Output: Observability findings, anomaly detection, service health matrix, trace analysis
• Context: Severity level from step 1, affected services

3. Initial Mitigation

• Use Task tool with subagent_type="incident-responder"
• Prompt: "Implement immediate mitigation for P$SEVERITY incident: $ARGUMENTS. Actions: 1) Traffic throttling/rerouting if needed, 2) Feature flag disabling for affected features, 3) Circuit breaker activation, 4) Rollback assessment for recent deployments, 5) Scale resources if capacity-related. Prioritize user experience restoration."
• Output: Mitigation actions taken, temporary fixes applied, rollback decisions
• Context: Observability findings, severity classification

Imported: Phase 2: Investigation & Root Cause Analysis

4. Deep System Debugging

• Use Task tool with subagent_type="error-debugging::debugger"
• Prompt: "Conduct deep debugging for incident: $ARGUMENTS using observability data. Investigate: 1) Stack traces and error logs, 2) Database query performance and locks, 3) Network latency and timeouts, 4) Memory leaks and CPU spikes, 5) Dependency failures and cascading errors. Apply Five Whys analysis."
• Output: Root cause identification, contributing factors, dependency impact map
• Context: Observability analysis, mitigation status

5. Security Assessment

• Use Task tool with subagent_type="security-scanning::security-auditor"
• Prompt: "Assess security implications of incident: $ARGUMENTS. Check: 1) DDoS attack indicators, 2) Authentication/authorization failures, 3) Data exposure risks, 4) Certificate issues, 5) Suspicious access patterns. Review WAF logs, security groups, and audit trails."
• Output: Security assessment, breach analysis, vulnerability identification
• Context: Root cause findings, system logs

6. Performance Engineering Analysis

• Use Task tool with subagent_type="application-performance::performance-engineer"
• Prompt: "Analyze performance aspects of incident: $ARGUMENTS. Examine: 1) Resource utilization patterns, 2) Query optimization opportunities, 3) Caching effectiveness, 4) Load balancer health, 5) CDN performance, 6) Autoscaling triggers. Identify bottlenecks and capacity issues."
• Output: Performance bottlenecks, resource recommendations, optimization opportunities
• Context: Debug findings, current mitigation state

Imported: Phase 3: Resolution & Recovery

7. Fix Implementation

• Use Task tool with subagent_type="backend-development::backend-architect"
• Prompt: "Design and implement production fix for incident: $ARGUMENTS based on root cause. Requirements: 1) Minimal viable fix for rapid deployment, 2) Risk assessment and rollback capability, 3) Staged rollout plan with monitoring, 4) Validation criteria and health checks. Consider both immediate fix and long-term solution."
• Output: Fix implementation, deployment strategy, validation plan, rollback procedures
• Context: Root cause analysis, performance findings, security assessment

8. Deployment and Validation

• Use Task tool with subagent_type="deployment-strategies::deployment-engineer"
• Prompt: "Execute emergency deployment for incident fix: $ARGUMENTS. Process: 1) Blue-green or canary deployment, 2) Progressive rollout with monitoring, 3) Health check validation at each stage, 4) Rollback triggers configured, 5) Real-time monitoring during deployment. Coordinate with incident command."
• Output: Deployment status, validation results, monitoring dashboard, rollback readiness
• Context: Fix implementation, current system state

Imported: Phase 4: Communication & Coordination

9. Stakeholder Communication

• Use Task tool with subagent_type="content-marketing::content-marketer"
• Prompt: "Manage incident communication for: $ARGUMENTS. Create: 1) Status page updates (public-facing), 2) Internal engineering updates (technical details), 3) Executive summary (business impact/ETA), 4) Customer support briefing (talking points), 5) Timeline documentation with key decisions. Update every 15-30 minutes based on severity."
• Output: Communication artifacts, status updates, stakeholder briefings, timeline log
• Context: All previous phases, current resolution status

10. Customer Impact Assessment

• Use Task tool with subagent_type="incident-responder"
• Prompt: "Assess and document customer impact for incident: $ARGUMENTS. Analyze: 1) Affected user segments and geography, 2) Failed transactions or data loss, 3) SLA violations and contractual implications, 4) Customer support ticket volume, 5) Revenue impact estimation. Prepare proactive customer outreach list."
• Output: Customer impact report, SLA analysis, outreach recommendations
• Context: Resolution progress, communication status

Imported: Phase 5: Postmortem & Prevention

11. Blameless Postmortem

• Use Task tool with subagent_type="documentation-generation::docs-architect"
• Prompt: "Conduct blameless postmortem for incident: $ARGUMENTS. Document: 1) Complete incident timeline with decisions, 2) Root cause and contributing factors (systems focus), 3) What went well in response, 4) What could improve, 5) Action items with owners and deadlines, 6) Lessons learned for team education. Follow SRE postmortem best practices."
• Output: Postmortem document, action items list, process improvements, training needs
• Context: Complete incident history, all agent outputs

12. Monitoring and Alert Enhancement

• Use Task tool with subagent_type="observability-monitoring::observability-engineer"
• Prompt: "Enhance monitoring to prevent recurrence of: $ARGUMENTS. Implement: 1) New alerts for early detection, 2) SLI/SLO adjustments if needed, 3) Dashboard improvements for visibility, 4) Runbook automation opportunities, 5) Chaos engineering scenarios for testing. Ensure alerts are actionable and reduce noise."
• Output: New monitoring configuration, alert rules, dashboard updates, runbook automation
• Context: Postmortem findings, root cause analysis

13. System Hardening

• Use Task tool with subagent_type="backend-development::backend-architect"
• Prompt: "Design system improvements to prevent incident: $ARGUMENTS. Propose: 1) Architecture changes for resilience (circuit breakers, bulkheads), 2) Graceful degradation strategies, 3) Capacity planning adjustments, 4) Technical debt prioritization, 5) Dependency reduction opportunities. Create implementation roadmap."
• Output: Architecture improvements, resilience patterns, technical debt items, roadmap
• Context: Postmortem action items, performance analysis

Imported: Success Criteria

Immediate Success (During Incident)

• Service restoration within SLA targets
• Accurate severity classification within 5 minutes
• Stakeholder communication every 15-30 minutes
• No cascading failures or incident escalation
• Clear incident command structure maintained

Long-term Success (Post-Incident)

• Comprehensive postmortem within 48 hours
• All action items assigned with deadlines
• Monitoring improvements deployed within 1 week
• Runbook updates completed
• Team training conducted on lessons learned
• Error budget impact assessed and communicated

Imported: Coordination Protocols

Incident Command Structure

• Incident Commander: Decision authority, coordination
• Technical Lead: Technical investigation and resolution
• Communications Lead: Stakeholder updates
• Subject Matter Experts: Specific system expertise

Communication Channels

• War room (Slack/Teams channel or Zoom)
• Status page updates (StatusPage, Statusly)
• PagerDuty/Opsgenie for alerting
• Confluence/Notion for documentation

Handoff Requirements

• Each phase provides clear context to the next
• All findings documented in shared incident doc
• Decision rationale recorded for postmortem
• Timestamp all significant events

Production incident requiring immediate response: $ARGUMENTS

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.