Skill

Generate operational runbooks for incidents and deployments

Skill agent that writes actionable incident-response, deployment, and maintenance runbooks with rollback steps.

Works with kubernetesdockerpostgreshelmpagerduty

15
Spark score
out of 100
Updated 2 months ago
Source checked Sep 18, 2026
Version 1.0.0

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Why it matters

Create comprehensive, step-by-step runbooks that enable teams to execute complex operational procedures, incident responses, deployments, and maintenance tasks consistently and safely, especially during high-stress situations.

Outcomes

What it gets done

01

Generate incident response runbooks with immediate actions, verification steps, and escalation triggers

02

Create deployment runbooks with pre-flight checks, rollback procedures, and success criteria

03

Build maintenance runbooks for routine operations like log rotation and system cleanup

04

Produce executable runbook scripts with embedded automation and health checks

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-runbook-generator | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Runbook Generator

This skill produces operational runbooks for incidents, deployments, and maintenance with a consistent structure: prerequisites, numbered steps with verification, rollback procedures, and escalation contacts. It includes worked examples for a database incident, a Kubernetes/Helm deployment, and log rotation. Use it when documenting an operational procedure a team must run consistently and safely, especially under incident pressure - not as a substitute for actual automation tooling.

What it does

This skill turns an agent into a runbook writer for operational procedures, incident response, system maintenance, and automation tasks. It structures every runbook around the same essential components: purpose and scope, prerequisites (access, tools, conditions), numbered step-by-step procedures, a verification step for each action, a rollback procedure, emergency escalation contacts, and clear success criteria. The standard template adds an overview block (purpose, estimated time, risk level), a pre-execution checklist, execution steps with a command/expected-output pair and a checkbox verification, a troubleshooting table, and a post-execution checklist.

It covers three specialized runbook types with full worked examples: an incident-response runbook for database connection-pool exhaustion (acknowledging a PagerDuty alert, checking pg_stat_activity for active connections and blocking queries, and named escalation triggers like connections not decreasing within 10 minutes); a production deployment runbook (verifying staging health, taking a pg_dump backup, enabling Kubernetes maintenance mode via a kubectl patch on a ConfigMap, and deploying with helm upgrade --wait); and a weekly maintenance runbook for log rotation and Docker image cleanup (logrotate -f, docker system prune --filter until=168h). It also shows how to make a runbook executable by embedding it as a bash health-check script with set -euo pipefail and explicit pass/fail checks.

When to use - and when NOT to

Use this skill when documenting an operational procedure that a team must execute consistently and safely, especially under incident pressure - an incident-response playbook, a deployment procedure, or a recurring maintenance task. It insists on including a rollback procedure and named risk level for anything it produces, and flags vague instructions ("restart the system" instead of the specific command), missing verification steps, missing rollback procedures, and commands without expected outputs as anti-patterns to avoid. It is a documentation and template skill, not itself an automation or orchestration system - the bash health-check example is illustrative of how to embed automation, not a delivered tool.

Inputs and outputs

Input: the operational procedure to document (incident type, deployment process, or maintenance task) along with its risk level and required access. Output: a complete runbook following the standard template - overview, pre-execution checklist, numbered execution steps with commands and expected outputs, a rollback procedure, a troubleshooting table, and a post-execution checklist - written in active voice with exact commands and file paths.

Integrations

The worked examples reference PagerDuty's incident API, PostgreSQL's pg_stat_activity system view, Kubernetes (kubectl, ConfigMaps, rollout restarts), Helm chart deployments, pg_dump for database backups, logrotate, and Docker's image/system prune commands.

Who it's for

SREs, DevOps engineers, and on-call teams who need consistent, safe-to-execute runbooks for incidents, deployments, and maintenance - and a quarterly review discipline (update after system changes, validate in disaster-recovery tests) for keeping them accurate.

FAQ

Common questions

Discussion

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