The Science of Controlled Failure

Moving beyond generic checklists, this skill transforms your AI agent into a senior Chaos Engineer. It addresses the fundamental problem of "theoretical resilience" by replacing vague recommendations with falsifiable, evidence-based experimitalic textents. Instead of suggesting you "add retries," it helps you design the exact stress test needed to prove your system won't collapse under a retry storm.

What it does

• Experiment Design: Drafts specific chaos experiments with measurable hypotheses, single-variable perturbations, and defined blast radii.
• Resilience Auditing: Identifies hidden architectural amplifiers like thundering herds, gray failures, and synchronized backoffs.
• Operational Rigor: Defines the human roles (Lead, Observer, Abort Authority) and readiness flags required to run experiments safely in production.
• Post-Mortem Conversion: Analyzes past incidents to create "never again" experiments that verify fixes.

Why use this skill?

Standard AI prompting often results in "best practice" lists that are difficult to action. This skill enforces a rigorous four-phase procedure (Hypothesize, Perturb, Minimize, Learn) that treats infrastructure as a laboratory. It focuses on tail-risk (P99/P99.9) rather than averages, ensuring your systems are hardened against the worst-case scenarios that actually cause outages.