Skill UI

This skill provides implementation patterns for building robust and reliable AI voice agents and telephony automation systems using the Retell AI SDK. It covers best practices for handling common communication errors (like rate limiting or invalid API keys) and ensures stable interaction flow for voice-based applications and phone call automation scenarios.

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.

This skill provides foundational security patterns and implementation guides for building AI voice agents and automating phone call workflows using Retell AI. It covers essential SDK usage (TypeScript), agent listing, and critical error handling (e.g., 401 Unauthorized, 429 Rate Limit) when integrating Retell into voice or telephony applications.

This skill provides comprehensive implementation patterns and detailed steps for migrating and upgrading Retell AI integrations. It is designed for developers building advanced AI voice agents, phone call automation, and complex telephony workflows using the Retell SDK. It covers setup procedures, best practices, and standard error handling for robust deployment.

This skill provides a comprehensive guide for setting up and managing webhook endpoints for Retell AI. It allows developers to capture and process crucial call lifecycle events—such as call start, end, and analysis—as well as handle function calls triggered during live conversations. Use this when building sophisticated voice agents or call automation systems that require real-time backend interaction with Retell AI.

Guide to automating Rev AI tasks through Composio’s Rube MCP toolkit, covering setup, mandatory tool discovery, connection checks, and schema-driven execution best practices for reliable results.

Apply a rigorous coding standard by explicitly stating assumptions, avoiding unsupported claims, and covering both happy and unhappy paths before writing or reviewing code to ensure reliability.

Automate RingCentral calls, messages, meetings, and unified communications with Composio’s Rube MCP toolkit by discovering current tool schemas, executing multi-step workflows, validating inputs, handling pagination, and maintaining active connections before each run.

Automates enterprise workflow roadmap generation by triggering whenever roadmap needs occur, guiding best practices, producing production-ready artifacts, and validating against governance and compliance standards.

Automates ROC curve plotting tasks in ML training, guiding data prep, model training, tuning, tracking, and code generation for production-ready results.

Explains how to create route.ts endpoints in the Next.js App Router, covering HTTP methods, request/response handling, streaming, cookies, redirects, CORS, and caching so you can build REST APIs.

This skill acts as an expert guide for developing clean, idiomatic, and highly performant Ruby code. It specializes in the entire Rails ecosystem, covering metaprogramming, ActiveRecord patterns, gem development, and comprehensive testing using RSpec/Minitest. Use it to ensure best practices, optimal code structure, and maintainable architecture in Ruby projects.