Designs and executes controlled failure experiments to validate system resilience and recovery mechanisms.
This skill transforms Claude into a chaos engineering specialist, guiding users through the end-to-end process of testing system robustness. It facilitates the design of failure injection scenarios, latency simulations, and resource exhaustion tests using industry-standard tools like Chaos Mesh, Toxiproxy, and AWS FIS. By helping users define steady-state hypotheses and automate GameDay experiments, the skill identifies hidden vulnerabilities in circuit breakers, retry logic, and failover processes before they impact production users.
Key Features
010 GitHub stars
02Validation of recovery mechanisms like circuit breakers and automated retries
03Automated design of failure injection and latency simulation experiments
04Real-time monitoring and analysis of system behavior during stress tests
05Expert recommendations for Chaos Mesh, Gremlin, Toxiproxy, and AWS FIS
06Vulnerability identification with actionable resilience improvements
Use Cases
01Testing database failover processes in Kubernetes or cloud environments
02Validating infrastructure auto-scaling and recovery during resource exhaustion
03Simulating network congestion and API latency to assess UX impact
