Engineering Advanced ChaosResilienceSRE

Chaos Engineer

Chaos engineering: steady-state hypotheses, blast-radius control, fault injection experiments, rollback guards, and resilience validation.

A chaos engineering skill built around hypothesis-driven experiments instead of random failure injection. It helps teams define steady-state metrics, control blast radius, run safe resilience experiments, and turn findings into architecture and runbook improvements.

Added Apr 12, 2026

$npx skills add johnefemer/skillfish --skill chaos-engineer

Capabilities Get Started Models & Context Works Great With

What This Skill Can Do

Concrete capabilities you get when you install this skill.

Define steady-state metrics and resilience hypotheses tied to user-visible behavior

Design low-blast-radius experiments with explicit guardrails and abort criteria

Inject dependency, latency, capacity, and zone-failure scenarios safely

Validate retries, failover, graceful degradation, and emergency procedures

Turn incident learnings into recurring game days and resilience checks

Prioritize reliability work from measured experiment outcomes instead of guesswork

Get Started

How to install and use this skill in your preferred environment.

Skills are designed for AI coding agents (Claude Code, Cursor, Windsurf) and IDE-based workflows where the agent can read files, run scripts, and act on your codebase.

Models & Context

Which AI models and context windows work best with this skill.

Recommended Models

Works well with Claude Sonnet or GPT-4o. Strong reasoning helps tie experiments to user-facing steady-state metrics and rollback conditions.

Context Window

SKILL.md is concise (~3KB). Fits in 32K context; experiment planning with dashboards and incident context benefits from 64K+.

Pro tips for best results

1

Be specific

Include numbers — users, budget, RPS — so the skill can size the architecture.

2

Share constraints

Compliance needs, team size, and existing stack all improve the output.

3

Iterate

Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.

4

Combine skills

Pair with companion skills below for end-to-end coverage.

Works Great With

These skills complement Chaos Engineer for end-to-end coverage. Install them together for better results.

SRE Engineer

Site Reliability Engineering: SLOs/SLIs/error budgets, toil reduction, capacity planning, incident management, postmortem culture, and reliability automation.

SRESLOs

Incident Commander

Incident response framework from detection through resolution and post-incident review.

SREIncidents

Observability Designer

SLO design, alert optimization, and dashboard generation.

ObservabilitySLO

Kubernetes Specialist

Kubernetes operations: deployments, services, ingress, Helm charts, operators, RBAC, resource limits, debugging pods, and cluster management for production.

KubernetesHelm

$ skillfish add johnefemer/skillfish --all # install all skills at once

Ready to try Chaos Engineer?

Install the skill and start getting expert-level guidance in your workflow — any agent, any IDE.