Skill UI

A comprehensive guide and expert assistant for developing, scheduling, and optimizing engaging social media content across platforms like LinkedIn, TikTok, Instagram, and X. It covers pre-content planning (goals, audience, brand voice), structured content pillars, effective hook formulas, and advanced content repurposing systems (e.g., turning a blog post into a LinkedIn carousel thread). Also assists with social listening and engagement triage to maximize brand impact.

Build intelligent Alexa voice skills and turn Alexa into a Claude-powered assistant (Auri). Integrate with the AWS ecosystem including Lambda, DynamoDB, Polly, Transcribe, Lex, and Smart Home devices.

Auri is an intelligent voice assistant product combining Alexa and Claude capabilities. This skill covers product vision, persona 'Vitoria Neural', AWS stack, Free/Pro/Business/Enterprise pricing model, 4-phase roadmap, GTM strategy, north star metric WAC, and competitive analysis.

This .NET SDK enables developers to build real-time voice AI applications using Azure AI Voice Live. It supports bidirectional WebSocket communication, function calling, and multiple voice models like GPT-4o. Ideal for creating voice assistants with natural conversation flows and audio processing capabilities.

This Java SDK enables real-time bidirectional voice conversations with AI assistants using WebSocket technology. It supports authentication via API Key or DefaultAzureCredential, configuration for audio input/output (24kHz PCM), voice selection (OpenAI/Azure), and event handling for session management and function calling. Ideal for building voice-enabled applications.

This SDK enables developers to build real-time voice AI applications using JavaScript and TypeScript. It supports bidirectional WebSocket communication for seamless audio and text streaming between users and Azure AI assistants. Ideal for creating voice assistants, customer service bots, and interactive voice experiences in Node.js and browser environments.

Operate Famulor voice AI assistants, calls, campaigns, messaging, knowledge, telephony and workspace settings through the hosted Streamable HTTP MCP server. Discover live tools, pick the smallest toolset, verify changes, and respect authorization boundaries.

This blueprint guides the creation of F.R.I.D.A.Y., a tactical, low-latency voice assistant inspired by Iron Man. It utilizes the specialized Pipecat framework to orchestrate a comprehensive, real-time audio pipeline: STT (OpenAI Whisper/GPT-4o) -> LLM (Gemini) -> TTS (OpenAI Nova). Ideal for developers needing to build advanced, multi-provider, conversational voice applications.

Proofreads and corrects grammar, spelling, punctuation, clarity, and tone while preserving the author's voice. Supports inline text and file processing modes, returning corrected text with a modification log or saving an updated file with 'UPDATED_' prefix.

Voice agents enable natural human-AI conversation through speech recognition and synthesis. This skill covers low-latency architectures like speech-to-speech pipelines and STT-LLM-TTS workflows. It includes optimization strategies for sub-800ms response times, voice activity detection, and integration with tools like Deepgram, ElevenLabs, and OpenAI. Ideal for building production-ready voice assistants with natural interaction flows.

Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support. Ideal for creating voice assistants, customer service agents, and voice-enabled applications that process streaming audio and integrate multiple AI providers effectively.