Agent skill

ai-postmortem

Use when documenting an incident, outage, or production failure using the structured DERP model (Detection, Escalation, Recovery, Prevention).

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/ai-postmortem-arcasilesgroup-ai-engineering

SKILL.md

Postmortem

Purpose

Structured incident postmortem using the DERP model. Guides through Detection, Escalation, Recovery, and Prevention phases with targeted questions. Produces blameless, actionable postmortem documents.

Trigger

  • Command: /ai-postmortem start|continue|find|generate
  • Context: incident occurred, production failure, outage resolution, near-miss analysis.

Modes

start -- New postmortem

  1. Assign ID -- generate PM-YYYY-NNN (sequential within year).
  2. Set status -- draft.
  3. Scaffold -- create .ai-engineering/postmortems/{id}.md with DERP template.
  4. Interview -- Detection:
    • When was the incident first detected?
    • How was it detected? (monitoring, user report, manual discovery)
    • What was the time between incident start and detection?
    • What monitoring should have caught it earlier?
  5. Interview -- Escalation:
    • Who was notified and when?
    • Was the escalation path appropriate?
    • Were the right people involved at the right time?
  6. Interview -- Recovery:
    • What actions were taken to restore service?
    • What was the total downtime/impact duration?
    • Was there a rollback? What was the rollback procedure?
  7. Interview -- Prevention:
    • Root cause (use 5-Whys if needed)
    • What changes prevent recurrence?
    • Action items with owners and deadlines

Ask ONE section at a time. Wait for answers before proceeding to the next DERP phase.

continue -- Resume postmortem

  1. Load -- read .ai-engineering/postmortems/{id}.md.
  2. Find gap -- identify the first incomplete DERP section.
  3. Resume interview -- continue from the incomplete section.

find [query] -- Search postmortems

  1. Search -- scan .ai-engineering/postmortems/*.md for matching content.
  2. List -- show ID, title, date, status, and root cause summary.

generate -- Create from existing notes

  1. Collect -- gather incident-related commits, PRs, Slack threads, and notes from context.
  2. Draft -- populate DERP sections from available data, mark gaps as [NEEDS INPUT].
  3. Review -- present draft for user validation before saving.

Document Template

markdown
# {id}: {title}

**Date**: YYYY-MM-DD
**Status**: draft | in-review | complete
**Severity**: SEV-1 | SEV-2 | SEV-3
**Duration**: {total impact time}

## Detection
{How and when the incident was discovered}

## Escalation
{Notification chain and response timeline}

## Recovery
{Steps taken to restore service}

## Prevention
### Root Cause
{5-Whys analysis}

### Action Items
| # | Action | Owner | Deadline | Status |
|---|--------|-------|----------|--------|

## Timeline
| Time | Event |
|------|-------|

Status Progression

draft -> in-review (all DERP sections complete) -> complete (action items assigned)

Quick Reference

/ai-postmortem start                  # begin new postmortem
/ai-postmortem continue PM-2026-001   # resume in-progress postmortem
/ai-postmortem find database           # search past postmortems
/ai-postmortem generate               # generate from existing context

Storage

  • Location: .ai-engineering/postmortems/{id}.md
  • ID format: PM-YYYY-NNN

$ARGUMENTS

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