Agent skill · software engineering · jeremylongshore
retellai-performance-tuning
Retell AI performance tuning \u2014 AI voice agent and phone call automation.\n\
Why this skill is useful
Provides specific implementation patterns and error handling for the Retell AI SDK that the AI wouldn't reliably generate on its own.
What it needs
Requires retell-sdk installed locally. Requires retellai account access. About 1k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Retell AI Performance Tuning Overview Implementation patterns for Retell AI performance tuning — voice agent and telephony platform. Prerequisites Completed retellai-install-auth setup Instructions Step 1: SDK Pattern Output Retell AI integration for performance tuning Error Handling Error Cause Solution ------- ------- ---------- 401 Unauthorized Invalid API key Check RETELLAPIKEY 429 Rate Limited Too many requests Implement backoff 400 Bad Request Invalid parameters Check API documentation Examples Improve response latency with a measured canary Capture baseline end-to-end latency, model latency, transfer outcome, and completion rate for a synthetic test suite before changing an agent setting. Apply one prompt, model, or integration change to a preview version and repeat the same suite. Promote to a small canary only if latency improves without a drop in completion or an increase in handoffs; otherwise restore the prior version and retain the comparison as the performance decision record. Resources Retell AI Documentation retell-sdk npm Next Steps See related Retell AI skills for more workflows.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/retellai-performance-tuning--b7f0df