How does this improve system resilience?

By proactively testing failure modes, it helps teams reduce MTTR, verify alert configurations, and ensure that systems degrade gracefully under stress.

What is a Chaos Engineer skill for Claude Code?

It is a specialized capability that enables Claude to design, implement, and manage chaos engineering experiments to identify system weaknesses and improve reliability.

Can it help with Kubernetes testing?

Yes, it includes specific patterns for pod, node, and network-level failure injection specifically tailored for Kubernetes clusters.

Which tools does this skill support?

The skill provides patterns and implementation guidance for popular tools including Chaos Monkey, Litmus Chaos, Chaos Mesh, Gremlin, and Pumba.

Does it include safety controls for experiments?

Absolutely. The skill emphasizes defining steady-state metrics, controlling blast radius, and establishing automated rollback procedures to ensure experiments don't cause unintended production outages.

Chaos Engineer

Name: Chaos Engineer
Author: Jeffallan

byJeffallan

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Seguridad y Pruebas

Implements controlled failure injection and resilience testing to build antifragile, highly reliable software systems.

Acerca de

The Chaos Engineer skill empowers Claude to design and execute scientific experiments that verify system reliability under stress. By implementing failure injection frameworks like Chaos Monkey or Litmus, it helps developers identify hidden vulnerabilities, manage blast radius, and establish robust rollback procedures. It is particularly useful for SREs and DevOps teams looking to automate resilience testing within CI/CD pipelines or conduct formal 'Game Day' exercises to reduce Mean Time to Recovery (MTTR) and improve organizational reliability.

Características Principales

Comprehensive monitoring and steady-state metric definition
Automated resilience testing integration for CI/CD pipelines
7 GitHub stars
Guidance for Kubernetes, infrastructure, and network-level chaos
Controlled failure injection and chaos experiment design
Blast radius management and safety control implementation

Casos de Uso

Simulating region or zone outages to test cloud infrastructure failover
Planning and documenting organizational Game Day resilience exercises
Injecting network latency or pod failures in Kubernetes environments

Acerca de

Características Principales

Comprehensive monitoring and steady-state metric definition
Automated resilience testing integration for CI/CD pipelines
7 GitHub stars
Guidance for Kubernetes, infrastructure, and network-level chaos
Controlled failure injection and chaos experiment design
Blast radius management and safety control implementation

Casos de Uso

Simulating region or zone outages to test cloud infrastructure failover
Planning and documenting organizational Game Day resilience exercises
Injecting network latency or pod failures in Kubernetes environments