postmortem-training

Solid

Postmortem Training Skill

AI & Automation 40 stars 7 forks Updated yesterday MIT

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Quality Score: 85/100

Stars 20%
54
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
75
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Postmortem Training Skill **name:** postmortem-training **description:** Structured postmortem process focused on reasoning heuristics rather than just root cause. ## Purpose Emphasizes the *journey* to diagnosis—the mental models, checks, and reasoning that led engineers to identify and resolve incidents. ## Template Sections ### 1. Timeline When did we first notice? When did we understand severity? ### 2. Diagnosis Journey - What did we check first? - What hypothesis did we form? - What data confirmed/denied it? - Where did we get stuck? ### 3. Resolution What actions fixed the issue? ### 4. Mental Model Update What should the on-call engineer know next time? ### 5. Heuristic Extraction If X happens → check Y metric first. Common cause: Z. Red herring: W. ### 6. Comprehension Gap Analysis - AI-generated code involved? - Pre-existing mental model? - Was the model accurate or stale? - What documentation would have helped? ### 7. Prevention What would have caught this earlier? ## Storage Postmortems stored at: `output/postmortems/YYYYMMDD-{incident-id}.md` ## Integration with Code Comprehension - Link to code-comprehension-report if AI-generated code involved - Reference specific functions/modules in gap analysis - Update comprehension report if mental models were stale ## Mandatory Elements - Timeline with timestamps - At least 3 diagnostic steps - Explicit heuristic(s) for next occurrence - Comprehension gap assessment - Prevention recommendation

Details

Author
gonzalezpazmonica
Repository
gonzalezpazmonica/pm-workspace
Created
3 months ago
Last Updated
yesterday
Language
Shell
License
MIT

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