plugins/incident-response/skills/postmortem-writing/SKILL.md
Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.
npx skillsauth add wshobson/agents postmortem-writingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Comprehensive guide to writing effective, blameless postmortems that drive organizational learning and prevent incident recurrence.
| Blame-Focused | Blameless | | ------------------------ | --------------------------------- | | "Who caused this?" | "What conditions allowed this?" | | "Someone made a mistake" | "The system allowed this mistake" | | Punish individuals | Improve systems | | Hide information | Share learnings | | Fear of speaking up | Psychological safety |
Day 0: Incident occurs
Day 1-2: Draft postmortem document
Day 3-5: Postmortem meeting
Day 5-7: Finalize document, create tickets
Week 2+: Action item completion
Quarterly: Review patterns across incidents
Full template library and detailed worked examples live in references/details.md. Read that file when you need the concrete templates.
### Template 2: 5 Whys Analysis
```markdown
# 5 Whys Analysis: [Incident]
## Problem Statement
Payment service experienced 47-minute outage due to database connection exhaustion.
## Analysis
### Why #1: Why did the service fail?
**Answer**: Database connections were exhausted, causing all new requests to fail.
**Evidence**: Metrics showed connection count at 100/100 (max), with 500+ pending requests.
---
### Why #2: Why were database connections exhausted?
**Answer**: Each incoming request opened a new database connection instead of using the connection pool.
**Evidence**: Code diff shows direct `DriverManager.getConnection()` instead of pooled `DataSource`.
---
### Why #3: Why did the code bypass the connection pool?
**Answer**: A developer refactored the repository class and inadvertently changed the connection acquisition method.
**Evidence**: PR #1234 shows the change, made while fixing a different bug.
---
### Why #4: Why wasn't this caught in code review?
**Answer**: The reviewer focused on the functional change (the bug fix) and didn't notice the infrastructure change.
**Evidence**: Review comments only discuss business logic.
---
### Why #5: Why isn't there a safety net for this type of change?
**Answer**: We lack automated tests that verify connection pool behavior and lack documentation about our connection patterns.
**Evidence**: Test suite has no tests for connection handling; wiki has no article on database connections.
## Root Causes Identified
1. **Primary**: Missing automated tests for infrastructure behavior
2. **Secondary**: Insufficient documentation of architectural patterns
3. **Tertiary**: Code review checklist doesn't include infrastructure considerations
## Systemic Improvements
| Root Cause | Improvement | Type |
| ------------- | --------------------------------- | ---------- |
| Missing tests | Add infrastructure behavior tests | Prevention |
| Missing docs | Document connection patterns | Prevention |
| Review gaps | Update review checklist | Detection |
| No canary | Implement canary deployments | Mitigation |
# Quick Postmortem: [Brief Title]
**Date**: 2024-01-15 | **Duration**: 12 min | **Severity**: SEV3
## What Happened
API latency spiked to 5s due to cache miss storm after cache flush.
## Timeline
- 10:00 - Cache flush initiated for config update
- 10:02 - Latency alerts fire
- 10:05 - Identified as cache miss storm
- 10:08 - Enabled cache warming
- 10:12 - Latency normalized
## Root Cause
Full cache flush for minor config update caused thundering herd.
## Fix
- Immediate: Enabled cache warming
- Long-term: Implement partial cache invalidation (ENG-999)
## Lessons
Don't full-flush cache in production; use targeted invalidation.
## Meeting Structure (60 minutes)
### 1. Opening (5 min)
- Remind everyone of blameless culture
- "We're here to learn, not to blame"
- Review meeting norms
### 2. Timeline Review (15 min)
- Walk through events chronologically
- Ask clarifying questions
- Identify gaps in timeline
### 3. Analysis Discussion (20 min)
- What failed?
- Why did it fail?
- What conditions allowed this?
- What would have prevented it?
### 4. Action Items (15 min)
- Brainstorm improvements
- Prioritize by impact and effort
- Assign owners and due dates
### 5. Closing (5 min)
- Summarize key learnings
- Confirm action item owners
- Schedule follow-up if needed
## Facilitation Tips
- Keep discussion on track
- Redirect blame to systems
- Encourage quiet participants
- Document dissenting views
- Time-box tangents
| Anti-Pattern | Problem | Better Approach | | ----------------------- | -------------------------- | ------------------------------- | | Blame game | Shuts down learning | Focus on systems | | Shallow analysis | Doesn't prevent recurrence | Ask "why" 5 times | | No action items | Waste of time | Always have concrete next steps | | Unrealistic actions | Never completed | Scope to achievable tasks | | No follow-up | Actions forgotten | Track in ticketing system |
tools
Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated private or state-changing operations. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, auditing giveaways, or preparing gated X operations. Use proactively when a Hermes Agent workflow needs current X/Twitter context. Requires XQUIK_API_KEY for read and action tools.
testing
Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a detect-only mode, a rewrite mode, and an edit-in-place mode, with optional voice and context profiles.
development
Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.
development
This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns for production LLM applications.