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chaos-experimentlisted

Design and document chaos engineering experiments. Guide steady state baseline, hypothesis formation, failure injection plans, and results analysis. Use for resilience testing, game days, failure injection experiments, and building confidence in system stability.
rjmurillo/ai-agents · ★ 33 · AI & Automation · score 79
Install: claude install-skill rjmurillo/ai-agents
# Chaos Experiment Designer Design rigorous chaos engineering experiments that build confidence in system resilience. ## Quick Start ```text # Describe what you want to test: "Design a chaos experiment for our API gateway failover" "Plan a game day for database resilience" "Test whether our circuit breakers work under load" ``` The skill guides you through 6 phases: Scope, Baseline, Hypothesis, Injection, Execute, Analyze. ## Triggers - `chaos experiment` - `failure injection` - `game day` - `test resilience` - `chaos engineering` ## Quick Reference | Phase | Purpose | Output | |-------|---------|--------| | 1. Scope | Define system boundaries and objectives | System under test, success criteria | | 2. Baseline | Establish steady state metrics | Quantified normal behavior | | 3. Hypothesis | Form falsifiable hypothesis | Clear prediction statement | | 4. Injection | Design failure scenarios | Injection plan with blast radius | | 5. Execute | Run controlled experiment | Observation log | | 6. Analyze | Compare actual vs expected | Findings and action items | ## When to Use Use this skill when: - Planning a game day or failure injection exercise - Building confidence in system resilience before production launch - Investigating whether auto-scaling, circuit breakers, or failover mechanisms work as designed - After a real incident, to validate that fixes prevent recurrence Use [threat-modeling](../threat-modeling/SKILL.md) instead when: - Identifying security threat