Implement Retell AI rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Retell AI. Trigger with phrases like "retellai rate limit", "retellai throttling", "retellai 429", "retellai retry", "retellai backoff".
7.0
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Backend Development
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Excellent skill providing comprehensive rate limiting implementation for Retell AI. The description clearly covers when and how to invoke the skill. Task knowledge is strong with production-ready TypeScript code for exponential backoff with jitter, idempotency patterns, queue-based throttling, and rate limit monitoring. Structure is clean with logical progression from understanding tiers to implementation patterns. Novelty is good - while rate limiting is a known pattern, the Retell AI-specific implementation with proper headers, tier information, and combined strategies (backoff + jitter + idempotency + queue) would require significant token usage and research for a CLI agent to construct from scratch. Minor improvement areas: could benefit from a complete end-to-end example combining all patterns, and perhaps a separate utilities file if expanded further, but current single-file structure is appropriate for the scope.
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