xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Post Mortem & Incident Review Framework
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install 1kalin/afrexai-post-mortemExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Run structured post-mortems that actually prevent repeat failures. Blameless analysis, root cause identification, and action tracking.
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
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
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]
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 |
List 3-5 things that worked during the response:
Every action MUST have an owner and deadline:
| # | Actio...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Structured, blameless post-mortems that prevent repeat failures. Includes 5-Whys root cause analysis, incident cost calculator, action tracking, and quarterly pattern review.
Engineering teams, SREs, ops leaders, and anyone who's tired of the same incidents repeating every quarter.
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.
Built by AfrexAI
# 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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