Incident slo runbook
Create or audit SLOs, SLIs, alert rules, incident response steps, escalation paths, postmortems, operational runbooks, and customer-impact communication. Use when defining production reliability, preparing launch readiness, responding to an outage, writing a runbook, tuning alerts, or closing the loop after an incident.From its SKILL.md
npx -y skills add majiayu000/spellbook --skill incident-slo-runbookAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Incident SLO Runbook
Purpose
Use this skill to connect observability to action. Metrics and logs are not enough; each critical user journey needs an SLO, alert, owner, response path, and post-incident learning loop.
SLO Design
Define:
- User journey or system capability.
- SLI: request success, latency, freshness, durability, or job completion.
- SLO target and measurement window.
- Error budget and burn-rate alerts.
- Exclusions with rationale.
- Dashboard and data source.
- Owner and escalation path.
Avoid vanity metrics. Prefer user-visible success and latency over internal counters unless internal counters are the only reliable proxy.
Runbook Requirements
Each runbook should include:
- Symptom and alert name.
- Impacted users or systems.
- First 5-minute checks.
- Triage decision tree.
- Mitigation steps with commands.
- Rollback or failover path.
- Escalation owner.
- Customer/support communication note.
- Postmortem trigger.
Commands must be safe to run or explicitly labeled destructive.
Incident Flow
- Declare severity and incident commander.
- Confirm impact from live evidence.
- Stabilize with the lowest-risk mitigation.
- Communicate status on a fixed cadence.
- Preserve evidence before cleanup.
- Write a blameless postmortem with action items and owners.
Output Shape
service_or_journey:
slo:
alerts:
dashboard_or_queries:
runbook:
escalation:
postmortem_template:
verification:
What ships with it: 1 file
230 B alongside SKILL.md
agents/
- openai.yaml230 B