failure-predictor

To run a pre-mortem analysis for a production deployment, you simulate realistic failure scenarios and trace root causes backward. The Skill performs structured failure simulation, backward cause analysis, and risk scoring to evaluate irreversible deployment risks before execution.

Pre-mortem risk analysis is a technique that imagines a decision has failed and works backward to uncover root causes. You should use it for architecture changes, data migrations, security updates, and major refactors to identify hidden failure modes before committing to irreversible actions.

Yes, you can use this Skill to evaluate data migration risks and rollback issues. It applies pre-mortem analysis to uncover operational weaknesses, security gaps, and data risks by creating realistic failure scenarios and tracing causes backward to support safer go or no-go decisions.

Risk scoring and mitigation planning for major refactors works by evaluating uncovered causes through likelihood and impact metrics. The Skill then defines specific mitigation actions to kill, prevent, or detect risks, supporting structured go or no-go decisions for high-risk technical changes.

The best way to identify hidden failure modes before a security update is applying pre-mortem analysis. This Skill simulates realistic failure scenarios, performs backward cause analysis, and scores risks by likelihood and impact to generate mitigation plans for safer deployment safety.