Overview
- Skill Key
- 1kalin/afrexai-post-mortem
- Author
- 1kalin
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/1kalin/afrexai-post-mortem
- Latest Commit SHA
- 1a3ef3689d4f3514b4138f41d6534486d20eac8b
Post Mortem & Incident Review Framework
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Afrexai Post Mortem 技能。 若已安装,则直接安装 Afrexai Post Mortem 技能。
# Post-Mortem & Incident Review Framework Run structured post-mortems that actually prevent repeat failures. Blameless analysis, root cause identification, and action tracking. ## When to Use - After any production incident, outage, or service degradation - After a missed deadline, failed launch, or lost deal - After any event costing >$5K or >4 hours of team time - Quarterly review of recurring incident patterns ## Post-Mortem Template ### 1. Incident Summary (Complete Within 24 Hours) ``` Incident ID: [AUTO-GENERATED] Date/Time: [Start] → [End] (Duration: X hours) Severity: SEV-1 (revenue impact) | SEV-2 (customer impact) | SEV-3 (internal impact) Impact: [Users affected] | [Revenue lost] | [SLA breached Y/N] Detection: How was it found? (Monitoring / Customer report / Internal discovery) Detection Delay: Time from incident start → first alert ``` ### 2. Timeline (Minute-by-Minute for SEV-1, 15-min blocks for SEV-2/3) ``` HH:MM - Event description HH:MM - First alert triggered HH:MM - Team notified HH:MM - Investigation started HH:MM - Root cause identified HH:MM - Fix deployed HH:MM - Confirmed resolved ``` ### 3. Root Cause Analysis — 5 Whys ``` Why 1: [Direct cause] Why 2: [Why did that happen?] Why 3: [Why did THAT happen?] Why 4: [Systemic cause] Why 5: [Organizational/cultural root] ``` ### 4. Contributing Factors Score each factor 0-3 (0=not a factor, 3=primary contributor): | Factor | Score | Notes | |---|---|---| | Missing/inadequate monitoring | | | | Insufficient testing | | | | Documentation gaps | | | | Process not followed | | | | Knowledge concentration (bus factor) | | | | Capacity/scaling limits | | | | Third-party dependency | | | | Communication breakdown | | | | Change management failure | | | | Technical debt | | | ### 5. What Went Well List 3-5 things that worked during the response: - Fast detection? Good runbooks? Strong communication? Quick escalation? ### 6. Action Items Every action MUST have an owner and deadline: | # | Actio...
# Post-Mortem & Incident Review Framework Structured, blameless post-mortems that prevent repeat failures. Includes 5-Whys root cause analysis, incident cost calculator, action tracking, and quarterly pattern review. ## What's Inside - Complete post-mortem template (SEV-1 through SEV-3) - 5-Whys root cause analysis framework - 10-factor contributing cause scorecard - Incident cost calculator (direct + indirect) - Quarterly incident pattern review - Industry-specific regulatory requirements (HIPAA, SOX, PCI-DSS, SOC 2, OSHA) - Blameless culture guidelines ## Who It's For Engineering teams, SREs, ops leaders, and anyone who's tired of the same incidents repeating every quarter. ## Usage Install this skill and your AI agent will guide you through structured post-mortems, calculate incident costs, track action items, and surface recurring patterns. --- **Your incidents reveal where AI agents should deploy first.** - [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — find your costliest gaps - [Industry Context Packs — $47](https://afrexai-cto.github.io/context-packs/) — deployment playbooks for 10 verticals - [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — deploy your first agent Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/)
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