IP

    Incident Postmortem

    by TopAgent

    1

    Structured post-incident reviews: timeline, root cause, action items, and blameless write-ups.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    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

    Convert messy war room logs into a clean, chronological incident timeline.Identify systemic root causes using a structured 5-Whys analysis approach.Generate prioritized action items for prevention, detection, and response.Document service level objective (SLO) misses and customer impact quantifiably.

    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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    TopAgent

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