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Real-Time Voice Chat with Azure AI

azure-ai-voicelive-java

sickn33/antigravity-awesome-skills

The Azure AI VoiceLive SDK for Java enables real-time, bidirectional voice conversations with AI assistants. Using WebSocket technology, this SDK supports low-latency streaming, advanced features like turn detection, noise reduction, and customizable voice selection (OpenAI/Azure). It is ideal for developers building sophisticated voice bots or interactive voice applications in Java.

Azure AI Voice Live SDK for Streaming

azure-ai-voicelive-py

sickn33/antigravity-awesome-skills

This SDK enables the development of real-time, conversational AI applications using Azure Cognitive Services. It supports bidirectional communication via WebSockets, allowing for continuous audio streaming (mic input) and receiving synthesized speech output. Ideal for building voice assistants, IVR systems, and interactive voice experiences.

Azure AI Voice Live SDK for TypeScript

azure-ai-voicelive-ts

sickn33/antigravity-awesome-skills

This SDK provides a comprehensive interface for building real-time, bidirectional voice AI applications using Azure AI services. It supports streaming audio input/output via WebSocket, handling transcription, text-to-speech, and complex session management. Ideal for developing robust voice assistants and interactive AI agents in both Node.js and modern browser environments.

Voice Agent Incident Runbook with Retell AI

retellai-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

This skill provides implementation patterns and code examples for creating an incident runbook using Retell AI. It is specifically designed for automating complex workflows, handling emergency notifications, and managing interactive phone calls within a voice agent or telephony system environment.

Retell AI Voice Agent Automation

retellai-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This skill provides deep dive implementation patterns for migrating and utilizing Retell AI. It focuses on building sophisticated voice agents and automating phone call interactions using the official SDK. Users will learn how to manage agents, handle API calls, and implement robust error handling for complex telephony applications, making it ideal for building automated call centers or interactive voice systems.

Segment Anything Model

segment-anything-model

Orchestra-Research/AI-Research-SKILLs

Provides Meta AI’s Segment Anything Model for zero-shot image segmentation via interactive prompts or automatic mask generation, enabling rapid dataset creation and integration in vision pipelines.

AI-Shaped Readiness Advisor

ai-shaped-readiness-advisor

deanpeters/Product-Manager-Skills

Interactive assessment that gauges whether your product work is AI-first or AI-shaped, measures readiness across five essential PM competencies for 2026, highlights gaps, and recommends which AI capability to build next.

AI Workflow Builder

SamurAIGPT/Generative-Media-Skills

Build, run, and visualize multi-step AI generation workflows via muapi.ai. Translate natural language intents into runnable node graphs, discover or edit existing pipelines, and execute them interactively or through the CLI with automated monitoring.

Real-Time Multimodal AI Agent Orchestration

sickn33/antigravity-awesome-skills

A framework for building production-ready, low-latency, multimodal AI agents. It allows developers to orchestrate complex pipelines that seamlessly handle real-time audio, video, and text data. Key capabilities include integrating multiple AI services (LLMs, STT, TTS), managing conversation context, and enabling tool use and function calling for advanced, interactive AI applications.

Interactive ML Training Health Monitor

wanshuiyin/Auto-claude-code-research-in-sleep

This skill provides continuous, structured monitoring of deep learning model training metrics. It analyzes data from platforms like WandB and local logs to detect critical anomalies such as NaN values, divergence, plateaus, and sudden spikes. By providing a clear decision (CONTINUE, WAIT, or STOP) and detailed evidence, it ensures compute resources are only spent on viable training runs.

Prompt Refinement Assistant

github/awesome-copilot

Interactive workflow that interrogates scope, deliverables, constraints, and success criteria while guiding users to refine task prompts; copies the final markdown with Joyride clipboard commands and never writes code.

Anthropic Streaming and Message Batches

anth-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Master building robust AI workflows with Anthropic's core APIs. This guide details two powerful patterns: real-time streaming via SSE events for interactive chat UIs, and the cost-efficient Message Batches API for asynchronously processing up to 100,000 requests. Includes comprehensive code examples for Python and TypeScript.

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