This skill serves as a specialized audit tool for developers working with Retell AI, focusing on performance, security, and reliability. It systematically scans codebases to detect high-risk anti-patterns such as synchronous API calls in request paths, unvalidated webhooks, and sensitive data leakage. By providing actionable patterns for rate limiting, idempotency, and circuit breaking, it ensures that Retell AI implementations are production-ready, resilient to failures, and compliant with voice AI industry best practices.
Key Features
010 GitHub stars
02Detection of synchronous API calls in critical request paths
03Validation of webhook signatures and security headers
04Integration of resilience patterns like circuit breakers and rate limiting
05Guidance on implementing idempotency keys for transaction safety
06Identification of API key leakage and sensitive PII logging