Skill UI

A comprehensive, step-by-step guide for deploying applications on Replit to production environments. It covers crucial best practices, including configuring deployment settings, managing environment secrets, implementing robust health checks, handling global errors, setting up custom domains, and defining rollback strategies. Essential for developers preparing an app for a live launch or scaling up.

This guide provides a comprehensive reference architecture for building robust, production-grade applications on Replit. It covers best-practice project layouts, system-level configurations (like replit.nix), data layer strategies (PostgreSQL, KV, Object Storage), and secure deployment techniques. Use it when starting a new Replit project, optimizing existing codebases, or establishing enterprise-level architectural standards.

Automates report template creation within data analytics by guiding SQL, visualization, statistics, and BI best practices, generating ready-to-use configurations and validating outputs.

Automates request validator generator tasks within backend development by offering best-practice guidance, generating production-ready code/configuration, and validating outputs across Node.js, Python, Go, microservices, and database domains.

Guides API developers through automatic response schema generation, offering best practices, code/configuration samples, and validation to keep REST, GraphQL, or OpenAPI responses compliant.

Automates performance testing response time analysis by guiding through best practices, helping you build production-ready scripts and configurations, and validating outputs whenever response time analyzer tasks are requested.

Provides automated guidance for setting up responsive breakpoint analysis, follows frontend best practices, validates configurations, and supports React/Vue/CSS accessibility and performance scenarios.

Rest Endpoint Designer automatically activates when you ask about designing REST APIs, providing best-practice guidance, sample configurations, OpenAPI/GraphQL tips, and validation checks so your API development stays production-ready.

This workflow guides users through building advanced AI voice agents using the Retell AI SDK. It demonstrates how to implement complex call flows, integrate function calling for tasks like booking appointments, and configure voice behavior for professional telephony applications.

This comprehensive guide demonstrates how to build and test a voice agent using the Retell AI SDK in TypeScript. It walks through configuring the underlying LLM with a custom persona, creating the voice agent instance, and finally initiating both outbound phone calls and web calls through the API. This is essential for integrating AI-powered voice communication into customer service platforms, call centers, or telephony automation systems.

This guide provides comprehensive instructions on installing the Retell AI SDK (for both Node.js and Python) and configuring the API key. It is essential for developers building advanced voice agents, integrating phone call automation, or working with any telephony-based AI application using the Retell platform.

This resource provides production-ready, structured patterns for building robust voice agent applications using the Retell AI SDK. It covers best practices such as implementing singleton client management, defining typed agent configurations with integrated LLMs, adding automatic retry logic for call failures, and managing large-scale outbound campaigns. Use this when building stable, scalable, and reliable voice automation systems.