🎯

incident-runbook-templates

🎯Skill

Helps you write runbooks, which are step-by-step guides for what to do when a live service breaks. They cover how serious the problem is, who to call, how to recover, and how to keep people informed.

wshobson/agents8,335 Installs27,673Last Updated Jan 19, 2026

Installation

$npx skills add wshobson/agents --skill incident-runbook-templates

Run it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).

Uses skills.sh Β· Node.js 22.20+

After installing

Ask for related work and the agent uses it on its own, or call it yourself.

Run it (Claude Code)/incident-runbook-templates
Install by hand

Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.

Open the skill folder β†’
  • This project .claude/skills/incident-runbook-templates/
  • All projects ~/.claude/skills/incident-runbook-templates/

These paths are for Claude Code. For other tools, the command above puts it in the right place.

What this skill does

Overview

This skill gives templates for incident runbooks. An incident is when a live service breaks or slows down for users. A runbook is a written, step-by-step guide that tells the on-call person exactly what to do.

Key Features

  • Sort problems into four levels, from total outage (SEV1) to small visual bugs (SEV4).
  • Follow a nine-part structure that goes from spotting the problem to fixing it and checking the fix.
  • Add a short checklist at the top so stressed responders do not skip steps.
  • Mark risky commands with warnings and a safe check to run first.
  • Use a ready message template to update stakeholders every 15 minutes.

Who is this for?

It suits engineers and teams who keep online services running and take turns being on call. It is also helpful when training new on-call staff who need clear guides they can follow at 3 AM.

Summarized by AI from this skill's SKILL.md. Suggest a better one

Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use this skill when building a service outage runbook for a payment processing system; creating database incident procedures covering connection pool exhaustion, replication lag, and disk space alerts; onboarding new on-call engineers who need step-by-step recovery guides written for a 3 AM brain; or standardizing escalation matrices across multiple engineering teams.

Incident Runbook Templates

Production-ready templates for incident response runbooks covering detection, triage, mitigation, resolution, and communication.

When to Use This Skill

  • Creating incident response procedures
  • Building service-specific runbooks
  • Establishing escalation paths
  • Documenting recovery procedures
  • Responding to active incidents
  • Onboarding on-call engineers

Core Concepts

1. Incident Severity Levels

SeverityImpactResponse TimeExample
SEV1Complete outage, data loss15 minProduction down
SEV2Major degradation30 minCritical feature broken
SEV3Minor impact2 hoursNon-critical bug
SEV4Minimal impactNext business dayCosmetic issue

2. Runbook Structure

1. Overview & Impact
2. Detection & Alerts
3. Initial Triage
4. Mitigation Steps
5. Root Cause Investigation
6. Resolution Procedures
7. Verification & Rollback
8. Communication Templates
9. Escalation Matrix

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

Do's

  • Keep runbooks updated - Review after every incident
  • Test runbooks regularly - Game days, chaos engineering
  • Include rollback steps - Always have an escape hatch
  • Document assumptions - What must be true for steps to work
  • Link to dashboards - Quick access during stress

Don'ts

  • Don't assume knowledge - Write for 3 AM brain
  • Don't skip verification - Confirm each step worked
  • Don't forget communication - Keep stakeholders informed
  • Don't work alone - Escalate early
  • Don't skip postmortems - Learn from every incident

Troubleshooting

Runbook steps work in staging but fail during a real incident

Steps often assume preconditions that are true in a healthy environment but not during an outage. For each command in your runbook, add a prerequisite check and a "what to do if this command fails" note:

# Step: Check pod status
kubectl get pods -n payments

# Prerequisites: kubectl configured, kubeconfig points to correct cluster
# If this fails: run `aws eks update-kubeconfig --name prod-cluster --region us-east-1`
# Expected output: pods in Running state

On-call engineer panics and skips steps out of order

Add a numbered checklist at the top of the runbook that mirrors the section numbers, so responders can track progress under stress without reading the full document:

## Quick Checklist
- [ ] 1. Declare incident severity and open war room
- [ ] 2. Check service health (Section 4.1)
- [ ] 3. Check recent deployments (Section 4.1)
- [ ] 4. Roll back if deploy is suspect (Section 4.1)
- [ ] 5. Post initial notification to #payments-incidents
- [ ] 6. Escalate if > 15 min unresolved

Runbook is outdated β€” commands reference old cluster names or endpoints

Runbooks rot because they're updated manually. Include a "Last Verified" date and owner at the top, and add a CI check that validates all curl endpoints and kubectl context names are still valid:

## Runbook Metadata
| Field | Value |
|---|---|
| Last verified | 2024-11-15 |
| Owner | @platform-team |
| Review cadence | After every SEV1/SEV2 |

Stakeholder communication is delayed while engineers are heads-down

Assign a dedicated incident communicator role (separate from the incident commander) whose only job is to post status updates. Add a standing agenda in the communication template:

Update every 15 minutes (even if no new information):
- Current status (Investigating / Mitigating / Monitoring)
- Impact (what is broken, who is affected, % of traffic)
- What we are doing right now
- Next update in: 15 minutes

Database runbook commands cause additional downtime when run incorrectly

Add explicit warnings before destructive SQL commands and require a dry-run output check before executing:

-- WARNING: This terminates active connections. Verify count first.
-- DRY RUN (check count before terminating):
SELECT count(*) FROM pg_stat_activity WHERE state = 'idle' AND query_start < now() - interval '10 minutes';

-- EXECUTE only after verifying count is reasonable (< 50):
SELECT pg_terminate_backend(pid) FROM pg_stat_activity
WHERE state = 'idle' AND query_start < now() - interval '10 minutes';

Related Skills

  • postmortem-writing - After resolving an incident, use postmortem templates to capture root cause and preventive actions
  • on-call-handoff-patterns - Structure shift handoffs so the incoming responder has full context on active incidents

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