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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0
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Backend Development
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Excellent skill that provides comprehensive, production-ready code for handling Retell AI rate limiting with exponential backoff, jitter, idempotency patterns, and queue-based throttling. The description clearly indicates when to use this skill (429 errors, retry logic, throttling). Task knowledge is strong with complete TypeScript implementations covering multiple strategies (exponential backoff, idempotency keys, queue-based limiting, rate limit monitoring). Structure is clean with clear sections, tables for rate limit tiers and headers, and logical progression from basic to advanced patterns. Novelty is good—while rate limiting is a common problem, the skill provides specialized Retell AI context, multiple sophisticated patterns (jitter to prevent thundering herd, deterministic idempotency keys, header-based monitoring), and ready-to-use code that would require significant token usage and research to implement correctly from scratch. Minor improvement areas: could benefit from a quick-reference section at the top for common use cases, and perhaps separation of basic vs advanced patterns into different files if the skill grows.
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