Implement Retell AI load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Retell AI integrations. Trigger with phrases like "retellai load test", "retellai scale", "retellai performance test", "retellai capacity", "retellai k6", "retellai benchmark".
7.0
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0
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Testing & Quality
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Excellent skill for Retell AI load testing and scaling. The description clearly maps trigger phrases to capabilities. Comprehensive task knowledge includes k6 scripts, Kubernetes HPA configs, connection pooling patterns, capacity estimation code, and benchmark templates. Well-structured with logical sections covering load testing, scaling patterns, capacity planning, and error handling. Novelty is solid—integrating k6, Kubernetes, and Retell AI-specific patterns would be token-intensive for a CLI agent to synthesize from scratch. Minor room for improvement: could separate complex code examples into referenced files for very large implementations, but current structure is clean and navigable.
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