screen-reader-testing
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues,…
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 -y skills add wshobson/agents --skill postmortem-writing --agent claude-codeHow it fires
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/postmortem-writingContext preview
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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.
name: postmortem-writing description: 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.
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 do
Production-ready agentic workflow building blocks: 94 plugins, 202 agents, 183 skills, 105 commands — built for Claude Code and consumed natively by OpenAI Codex CLI, Cursor, OpenCode, the Antigravity CLI, GitHub Copilot, and Pi from a single Markdown source.
Repo: wshobson/agents
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