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Managing Incidents

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ancoleman
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.

Overview

Publisherancoleman
Repositoryai-design-components
Skill namemanaging-incidents
Stars
523
Forks
73
Bundled files
17
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 17 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ancoleman on GitHub. Read the source before you install it.

Installation

Install the Managing Incidents AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ancoleman/ai-design-components.git /tmp/ai-design-components
mkdir -p .claude/skills
cp -r /tmp/ai-design-components/skills/managing-incidents .claude/skills/managing-incidents
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Managing Incidents in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Managing Incidents on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Managing Incidents is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

  1. Trigger: Alert conditions that activate this runbook
  2. Severity: Expected severity level
  3. Prerequisites: System state requirements
  4. Steps: Numbered, executable commands (copy-pasteable)
  5. Verification: How to confirm fix worked
  6. Rollback: How to undo if steps fail
  7. Owner: Team/person responsible
  8. 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.md
  • examples/runbooks/cache-invalidation.md
  • examples/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.py
  • examples/integrations/statuspage-auto-update.py
  • examples/integrations/postmortem-generator.py

Scripts

Interactive Severity Classifier:

bash
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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Managing Incidents AI skill do?

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.

Why use Managing Incidents on TypingMind?

Because you install it once and use it with any model. Managing Incidents is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Managing Incidents in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ancoleman/ai-design-components/tree/main/skills/managing-incidents. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Managing Incidents?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Managing Incidents?

As many as you like. As long as a model supports skills, you can use Managing Incidents with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Managing Incidents AI skill free?

Yes. It is published on GitHub by ancoleman under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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