Can I use this for testing Kubernetes environments?

Yes, it is specifically designed to handle Kubernetes-native chaos experiments, such as pod-killing, network partitioning, and resource stress testing.

Does it provide recommendations after an experiment?

Yes, Claude analyzes the results of the failure injection to identify specific vulnerabilities and provides actionable recommendations for improving system robustness.

How does this skill help with SRE practices?

It helps Site Reliability Engineers automate the 'GameDay' process, defining steady states and testing hypotheses to ensure high availability and robust failover.

Which chaos engineering tools does this skill support?

This skill integrates with and provides guidance for popular tools including Chaos Mesh, Gremlin, Toxiproxy, and AWS Fault Injection Simulator (FIS).

Chaos Engineering Specialist

Name: Chaos Engineering Specialist
Author: intent-solutions-io

byintent-solutions-io

Security & Testing

Designs and executes controlled chaos engineering experiments to identify system vulnerabilities and improve overall service resilience.

About

The Chaos Engineering Specialist skill transforms Claude into a resilience expert, helping teams proactively identify weaknesses in their infrastructure before they lead to outages. By guiding users through the design and implementation of 'GameDay' scenarios, this skill enables the injection of failures—such as network latency, resource exhaustion, and service crashes—using industry-standard tools like Chaos Mesh and AWS FIS. It is particularly valuable for SREs and DevOps engineers who need to validate recovery mechanisms like circuit breakers, retry logic, and automated failover processes in distributed systems.

Key Features

0 GitHub stars
Vulnerability analysis based on system behavior during stress
Automated chaos experiment design and hypothesis definition
Multi-tool orchestration for Chaos Mesh, Gremlin, and AWS FIS
Real-world failure injection (latency, packet loss, CPU spikes)
Resilience validation for circuit breakers and retry logic

Use Cases

Testing database failover processes in Kubernetes environments
Simulating network congestion at the API gateway level
Validating microservice recovery during container termination

About

Key Features

0 GitHub stars
Vulnerability analysis based on system behavior during stress
Automated chaos experiment design and hypothesis definition
Multi-tool orchestration for Chaos Mesh, Gremlin, and AWS FIS
Real-world failure injection (latency, packet loss, CPU spikes)
Resilience validation for circuit breakers and retry logic

Use Cases

Testing database failover processes in Kubernetes environments
Simulating network congestion at the API gateway level
Validating microservice recovery during container termination