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Incident postmortem

Skill sandev/engineering-os/skills/operating-and-reliability/incident-postmortem

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npx -y skills add sandev/engineering-os --skill incident-postmortem

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Run a production incident and write a blameless postmortem that finds systemic causes and durable action items. Use when there is an active outage or degradation, or when the user needs to write or review a postmortem, RCA, or incident retrospective.

SKILL.md

4.6 KB, as published. Nobody here has run it

Incident Response & Postmortem

Two jobs: stop the bleeding during the incident, then learn without blame afterward. The measure of a healthy engineering org is not zero incidents, it is how much it learns from each one.

Part 1, During the incident

Priority order is fixed: mitigate first, diagnose second. Restoring service beats understanding root cause in the moment.

Severity (set one from customer impact, not cause)

  • SEV1: critical: major outage or data loss, broad customer impact. All-hands, leadership notified immediately.
  • SEV2: significant: partial outage or serious degradation; urgent but contained.
  • SEV3: minor: limited or cosmetic impact; handle in normal hours.

When unsure, over-declare, you can always downgrade. Severity drives the response, not blame.

Roles (assign explicitly, even for a team of two)

  • Incident Commander (IC): owns decisions and coordination. Not the person with hands on keyboard.
  • Ops/hands-on: investigates and applies fixes.
  • Communications: updates stakeholders and status page on a cadence.

Flow

- [ ] Declare the incident; assign IC. Set a severity.
- [ ] Open a single coordination channel; all activity goes there.
- [ ] Assess impact: who/what is affected, since when, how badly.
- [ ] Mitigate: roll back, fail over, disable the feature, scale up, buy stability.
- [ ] Communicate on a fixed cadence, even with "no change yet."
- [ ] Once stable, confirm recovery with data, then stand down.
- [ ] Preserve evidence (logs, dashboards, timeline) for the postmortem.

Good telemetry is what makes detection fast and root cause findable, see the observability-and-slos skill; for the diagnosis itself, see the debugging skill.

Principles

  • Mitigate with the fastest safe lever (usually rollback) before hunting root cause.
  • One source of truth for status; avoid parallel side-conversations.
  • Change one thing at a time and observe; panic-changing multiple variables hides what worked.
  • Over-communicate. Silence during an outage erodes trust faster than bad news.

Part 2, The postmortem (blameless)

Write one for every significant incident, within a few days while memory is fresh.

Blameless means

Focus on systems and conditions, not individuals. "An engineer ran the migration" → "the deploy tooling allowed an unreviewed migration to reach production with no dry-run gate." People act reasonably given the information and tools they had; if a human error caused an outage, the system that let that error reach production is the finding. Blame kills the honesty that makes postmortems useful.

Template

# Postmortem: <incident title>

- Date / duration: ...
- Severity & impact: users affected, requests failed, revenue/SLA impact.
- Authors: ...   Status: Draft | Reviewed

## Summary
A few sentences: what broke, the impact, and how it was resolved.

## Timeline (UTC)
- HH:MM, trigger / first symptom
- HH:MM, detected (how? alert or human?)
- HH:MM, key actions and what they did
- HH:MM, mitigated
- HH:MM, fully resolved

## Impact
Quantified: duration, users, requests, data, money.

## Root cause analysis
The chain of contributing causes. Ask "why" until you reach systemic
factors, not a person. Usually several causes combine, capture all.

## What went well / what was hard
Detection, response, tooling, communication, honestly.

## Action items
| Action | Type (prevent/detect/mitigate) | Owner | Due |
|--------|-------------------------------|-------|-----|
Each item is specific, owned, dated, and tracked to completion.

Quality bar

  • Root cause reaches a systemic factor (process, tooling, design gap), not "human made a mistake."
  • Detection is examined: did we find it, or did a customer? How fast?
  • Action items are concrete, owned, dated, and tracked: a postmortem whose actions are never done is theater.
  • Prefer actions that prevent the class of failure, not just this one instance.
  • Tone stays blameless throughout.

Anti-patterns

  • Naming and shaming; "root cause: human error."
  • Action items with no owner or date (they never happen).
  • Diagnosing root cause while the site is still down.
  • Skipping the postmortem because "we know what happened."
  • Only fixing the exact bug, ignoring the class of failure and the detection gap.

Gives 0 of the 12 instructions most incident response skills give

Counted across 224 of the 224 authors here whose files we hold, read 2026-08-06

  • Conduct a blameless postmortem within 48 hoursin 24 of 224, across 14 files
  • perform root cause analysis using five whysin 24 of 224, across 20 files
  • write a blameless postmortemin 22 of 224, across 19 files
  • Update stakeholders every 15 to 30 minutesin 19 of 224, across 9 files
  • assign an owner and due date to every action itemin 18 of 224
  • Classify incident severity within 5 minutesin 17 of 224, across 7 files
  • Create a post-mortem documentin 17 of 224, across 14 files
  • Assign all action items with deadlinesin 14 of 224, across 6 files
  • Implement immediate mitigation prioritizing user restorationin 13 of 224, across 3 files
  • assign one incident commanderin 12 of 224
  • Stop and ask for clarification if inputs are missingin 10 of 224, across 2 files
  • Escalate earlyin 10 of 224, across 2 files

Said here and by no other author read

  • mitigate service impact before diagnosing root cause
  • set severity from customer impact
  • open a single coordination channel for all activity
  • focus analysis on systems and conditions over individuals
  • reach systemic factors during root cause analysis
  • examine how the incident was detected

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.

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