Chaos experiment design methodology. Hypothesis formation, success criteria definition, blast radius control, validation patterns, and SLI monitoring for effective chaos engineering.
Designs chaos experiments with hypotheses, success criteria, and blast radius controls. Claude uses this when you request chaos engineering experiments to ensure they're measurable and safe.
/plugin marketplace add adaptive-enforcement-lab/claude-skills/plugin install patterns@ael-skillsThis skill inherits all available tools. When active, it can use any tool Claude has access to.
scripts/example-1.textChaos without validation is just breaking things. Proper experiment design transforms fault injection into reliability engineering.
Core Principle
Every chaos experiment must have a hypothesis, measurable success criteria, controlled blast radius, and automated validation. If you can't measure it, you can't learn from it.
See the full implementation guide in the source documentation.
This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.