Video & Podcast skills

Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks

Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration

Use when user provides a topic and wants an automated video podcast created, OR when user wants to learn/analyze video design patterns from reference videos — handles research, script writing, TTS audio synthesis, Remotion video creation, and final MP4 output with background music. Also supports design learning from reference videos (learn command), style profile management, and design reference library.

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

Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences. Use when: voice ai, voice agent, speech to text, text to speech, realtime voice.

MCP Server for AI-powered video editing. Let Claude, GPT, or any AI agent edit videos through natural language. Add to your Claude Desktop config (claudedesktopconfig.json): Then restart Claude Desktop. You can now edit videos through conversation. Layer Compositing Model: Output: 1920x1080, 30fps, H.264 + AAC, MP4 atsurae.ai also exposes a REST API that any AI agent can call directly, without MCP

Game audio principles. Sound design, music integration, adaptive audio systems.

A Text-to-Speech MCP server plugin for Claude Code that converts text to speech using OpenAI's TTS API. Get audio feedback from Claude as you work! - Deterministic Auto-Speak: Every Claude response is automatically spoken (via Stop hook) - 6 High-Quality Voices: alloy, echo, fable, onyx, nova, shimmer - Worker Pool Architecture: Non-blocking queue with concurrent processing - Mutex-Protected Playb

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

MCP server that fetches YouTube video transcripts and optionally summarizes them. - Fetch transcripts in multiple formats (text, JSON, SRT, WebVTT, pretty-print) - Summarize videos — returns transcript with instructions for the LLM to produce a summary - List available languages for any video's transcripts - Flexible URL parsing — accepts full YouTube URLs (youtube.com/watch?v=, youtu.be/, youtube

TypeScript SDK for S2 This repo contains the official TypeScript SDK for S2, a serverless data store for streams, built on the service's REST API. S2 is a managed service that provides unlimited, durable streams. Streams can be appended to, with all new records added to the tail of the stream. You can read from any portion of a stream – indexing by record sequence number, or timestamp – and follow

Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, a