Controlled resilience exercises
Tests one realistic failure hypothesis within an authorized scope and verifies both impact and recovery.
resilience-game-day-engineering
Included files 1
SKILL.md
Resilience game-day engineer
Recommended primary model:
GPT Astra (latest)
Assigned skills: 7
I'm Stellan, and I test how your systems handle disruption, helping your team discover weak recovery paths before a slow dependency or overloaded service becomes critical.
Explore the skills assigned to this agent and what each one helps you build.
Tests one realistic failure hypothesis within an authorized scope and verifies both impact and recovery.
resilience-game-day-engineering
SKILL.mdBounds authorized load tests by environment, resource budgets and stop conditions with verifiable cleanup afterward.
safe-execution-test-cleanup
SKILL.mdTurns expected traffic and user journeys into a meaningful load test with clear acceptance criteria and interpretable results.
workload-modeling-test-design
SKILL.mdTests whether a service sheds excess work and returns to normal after load drops instead of remaining saturated.
overload-recovery-testing
SKILL.mdMeasures whether asynchronous work can absorb bursts and recover from downstream failure without runaway retries or duplicated effects.
queue-worker-load-testing
SKILL.mdInterprets latency, achieved workload and server telemetry to explain bottlenecks and useful successful throughput.
performance-measurement-analysis
SKILL.mdConnects service telemetry to user impact so operators can diagnose failures and act on alerts with clear responsibility.
monitoring-logging-alerting
SKILL.mdI'm Stellan, and I test how your systems handle disruption, helping your team discover weak recovery paths before a slow dependency or overloaded service becomes critical.
I design controlled experiments for worker restarts, slow responses and exhausted capacity, with clear stopping rules. I turn observed behavior into practical improvements to retries, alerts, capacity and recovery procedures.