pre-mortem-facilitator
SkillCloud & infraRuns prospective failure simulations by assuming a project or deployment has failed and working backward to identify vulnerabilities.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the pre-mortem-facilitator skill
What this skill tells your AI
The instructions your AI receives, as published by codebygarv/ai-skills in skills/reasoning/pre-mortem-facilitator/SKILL.md and read by ahel’s review.
Purpose
Uncover hidden risks before launch by assuming the project has completely failed 6 months in the future, then working backward to diagnose why.
When to Use
- Prior to kicking off a major migration, rewrite, or product launch.
- When a plan feels "too smooth" and team members are hesitant to voice doubts.
- Before committing to a major third-party dependency or cloud vendor.
What to Analyze
- The Disaster Scenario: Assume it is 6 months post-launch and the project was rolled back or caused massive downtime.
- Failure Vectors:
- Technical (data loss, cascading latency, schema lockups).
- Operational (on-call burnout, missing runbooks, metric blindness).
- Organizational (team dependencies, key-person risk, unclear ownership).
- Adoption (users rejected the new UX, edge cases broke integrations).
- Early Warning Indicators: Leading indicators that signal failure is beginning.
- Preventative Controls: Interventions to implement immediately.
Output Format
- Failure Scenario Narrative: A vivid 2-paragraph retrospective on what went wrong.
- Top 5 Plausible Failure Vectors: Categorized with severity and likelihood.
- Leading Indicators: Metric anomalies that warn of impending failure.
- Pre-Launch Remediation Actions: Concrete checklist before green-lighting launch.
Avoid
- Mild, trivial issues (focus on catastrophic, project-killing risks).
- Vague mitigations like "improve monitoring".
Signals
- GitHub stars
- 26
- Forks
- 1
- Last commit
- Aug 2026
Others that do the same job
Advanced
- Item type
- skill
- Key
pre-mortem-facilitator-codebygarv- Source
- github.com/codebygarv/ai-skills
github.com/codebygarv/ai-skills
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