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Incident Runbook Templates

CommunityPopular
wshobson
incident-runbook-templates

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.

Overview

Publisherwshobson
Repositoryagents
Skill nameincident-runbook-templates
Stars
40.1K
Forks
4.3K
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Incident Runbook Templates 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.
    https://github.com/wshobson/agents/tree/main/plugins/incident-response/skills/incident-runbook-templates
  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/wshobson/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/plugins/incident-response/skills/incident-runbook-templates .claude/skills/incident-runbook-templates
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Incident Runbook Templates 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 Incident Runbook Templates 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 Incident Runbook Templates 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 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:

bash
# 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:

markdown
## 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 — 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:

markdown
## 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:

sql
-- 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

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 Incident Runbook Templates AI skill do?

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.

Why use Incident Runbook Templates on TypingMind?

Because you install it once and use it with any model. Incident Runbook Templates 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 Incident Runbook Templates in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wshobson/agents/tree/main/plugins/incident-response/skills/incident-runbook-templates. 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 Incident Runbook Templates?

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 Incident Runbook Templates?

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

Is the Incident Runbook Templates AI skill free?

Yes. It is published on GitHub by wshobson 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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