Agent skill · software engineering · jeremylongshore

retellai-load-scale

Retell AI load scale \u2014 AI voice agent and phone call automation.\n\

Why this skill is useful

Provides specific implementation patterns and error handling for integrating with the Retell AI SDK that the AI wouldn't reliably generate on its own.

What it needs

Requires npm 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 Load Scale Overview Implementation patterns for Retell AI load scale — voice agent and telephony platform. Prerequisites Completed retellai-install-auth setup Instructions Step 1: SDK Pattern Output Retell AI integration for load scale 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 Load-test an inbound queue without contacting real callers Use a preview number and synthetic caller identities to ramp concurrency in small steps. Record queue time, model latency, transfer rate, error rate, and the configured concurrency limit at each step. Stop the test when the agreed latency or error budget is crossed instead of compensating with unbounded retries. Use the result to set an initial production ceiling and retain the last known-good limit as the rollback value. 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-load-scale--7c4beb

View the source on GitHub

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