retellai-pack

Configure Retell AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Retell AI configurations. Trigger with phrases like "retellai environments", "retellai staging", "retellai dev prod", "retellai environment setup", "retellai config by env".

Execute Retell AI primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "retellai main workflow", "primary task with retellai".

Identify and avoid Retell AI anti-patterns and common integration mistakes. Use when reviewing Retell AI code for issues, onboarding new developers, or auditing existing Retell AI integrations for best practices violations. Trigger with phrases like "retellai mistakes", "retellai anti-patterns", "retellai pitfalls", "retellai what not to do", "retellai code review".

Implement Retell AI load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Retell AI integrations. Trigger with phrases like "retellai load test", "retellai scale", "retellai performance test", "retellai capacity", "retellai k6", "retellai benchmark".

Apply Retell AI advanced debugging techniques for hard-to-diagnose issues. Use when standard troubleshooting fails, investigating complex race conditions, or preparing evidence bundles for Retell AI support escalation. Trigger with phrases like "retellai hard bug", "retellai mystery error", "retellai impossible to debug", "difficult retellai issue", "retellai deep debug".