Structured post-incident reviews: timeline, root cause, action items, and blameless write-ups.
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You say
Draft a postmortem for the API outage on 2023-10-12. Logs show 500 errors started at 14:02 UTC after the v2.1.0 deploy at 13:58. Rollback completed at 14:15. 15% of traffic was affected.
Your agent does
Postmortem: API Outage — 2023-10-12
Impact: 15% of requests · 13 mins · SLA Breach
Root Cause
Deploy v2.1.0 → Database connection leak in auth middleware → Connection pool exhaustion
Actions
| # | Category | Action | Owner | |---|---|---|---| | 1 | Prevent | Add pool leak detection to CI | @eng-ops |
What you get
About this skill
The problem
Writing incident reports after an outage is a chore that often leads to vague descriptions or finger-pointing. Developers struggle to turn messy Slack logs, alert timestamps, and deployment history into a coherent, blameless retrospective.
What it does
- Synthesizes raw evidence like chat logs, alert history, and deploy commits into a structured report.
- Constructs a minute-by-minute chronological timeline of the incident from start to resolution.
- Performs a 5-Whys root cause analysis to identify systemic failures rather than human error.
- Quantifies impact on customers, SLOs, and SLAs using available data or tagged estimates.
- Generates a prioritized list of action items categorized by prevention, detection, and response improvement.
Why this beats prompting it yourself
This skill enforces a strict blameless methodology and a 5-Whys deep dive that generic prompts often skip. It automatically handles the tedious formatting of timelines and action item tables, ensuring your engineering team maintains a consistent standard for every P1 incident.
Use cases
- Creating a formal retrospective after a production outage or service degradation.
- Analyzing a security event or data loss incident to prevent recurrence.
- Standardizing internal documentation for SRE and on-call teams.
- Reviewing a failed deployment to identify gaps in CI/CD or testing pipelines.
Known limitations
This skill is for post-incident review only. Do not use it for real-time incident response, blame attribution, or generating legal liability documentation.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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